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1
Pickle, Stephanie M. "Semiparametric Techniques for Response Surface Methodology." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28517.
Full textAbstract:
Many industrial statisticians employ the techniques of Response Surface Methodology (RSM) to study and optimize products and processes. A second-order Taylor series approximation is commonly utilized to model the data; however, parametric models are not always adequate. In these situations, any degree of model misspecification may result in serious bias of the estimated response. Nonparametric methods have been suggested as an alternative as they can capture structure in the data that a misspecified parametric model cannot. Yet nonparametric fits may be highly variable especially in small sample settings which are common in RSM. Therefore, semiparametric regression techniques are proposed for use in the RSM setting. These methods will be applied to an elementary RSM problem as well as the robust parameter design problem.Ph. D.
2
Miller, Michael Chad. "Global Resource Management of Response Surface Methodology." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1621.
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Statistical research can be more difficult to plan than other kinds of projects, since the research must adapt as knowledge is gained. This dissertation establishes a formal language and methodology for designing experimental research strategies with limited resources. It is a mathematically rigorous extension of a sequential and adaptive form of statistical research called response surface methodology. It uses sponsor-given information, conditions, and resource constraints to decompose an overall project into individual stages. At each stage, a "parent" decision-maker determines what design of experimentation to do for its stage of research, and adapts to the feedback from that research's potential "children", each of whom deal with a different possible state of knowledge resulting from the experimentation of the "parent". The research of this dissertation extends the real-world rigor of the statistical field of design of experiments to develop an deterministic, adaptive algorithm that produces deterministically generated, reproducible, testable, defendable, adaptive, resource-constrained multi-stage experimental schedules without having to spend physical resource.
3
Hata, Misako. "Non linear tolerance analysis by response surface methodology." Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1173897314.
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4
Gaston, Godfrey Jonathan. "IC optimisation using parallel processing and response surface methodology." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/16989.
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Simulation software has become an essential tool in the design and development of integrated circuits. The key to the rapid and efficient designs required in the competitive industry lies with the use of these simulators with statistical optimisation methods. This is necessary if companies are to survive in the aggressive IC marketplace. The linking of simulation and statistics not only results in rapid development times, but also in robust, highly manufacturable products. In this work an automated software system is presented where the benefits of simulation and statistical techniques can be readily made available. The efficiency of the system is increased further by utilising parallel processing techniques. Using one system built round the INMOS transputer and one using Intel 1860 processors, the time taken to obtain simulation results is greatly reduced. Two statistical methods are investigated, namely Response Surface Methodology (RSM) and Taguchi analysis. In order to illustrate how these approaches can be utilised in the field of semiconductors, part of a 1.5 μm nMOS process is optimised in relation to some specified device parameters. A comparison is made between both techniques, with good agreement being obtained. Finally devices have also been fabricated using the same experimental design as for the RSM simulation analysis. This facilitated a verification of the simulation optimisation with reality. Both simulated and fabricated devices suggested the same improved optimised conditions when compared to the existing process parameters.
5
Parikh, Harshal. "Reservoir characterization using experimental design and response surface methodology." Texas A&M University, 2003. http://hdl.handle.net/1969/480.
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Zhang, Aijun. "Majorization methodology for experimental designs." HKBU Institutional Repository, 2004. http://repository.hkbu.edu.hk/etd_ra/521.
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Sulistiyono, Heri. "Rainfall-runoff model calibration using experimental designs and response surface methodology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/MQ42452.pdf.
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8
Carter, William E. "Response surface methodology for optimizing the fermentation of a cycloheximide producing streptomycete." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1221297.
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Many antibiotics are produced as secondary metabolites of Streptomyces species. Commercial production of an antibiotic involves the optimization of environmental parameters, genetic makeup, and medium. Selection of ingredients for both inoculum (seed) and fermentation (production) media must provide for economic production, and easy downstream processing of the compound. Antibiotics are produced as secondary shunt metabolites and represent products that are not essential for primary metabolism of the cell; therefore conditions for their optimal expression may or may not be associated with good growth of the organism. Response Surface Methodology (RSM) is a collection of statistically designed experiments and analyses that directs the investigation of many factors and their interactions. This approach minimizes the number of trials required to identify critical factors and possible synergism between factors. In this research, an antifungal antibiotic produced by an unknown streptomycete collected from soil, was isolated, characterized and identified as cycloheximide. RSM was then used toformulate both a seed and production medium that optimizes cycloheximide biosynethesis. For the seed medium, RSM was used in a three step process: i) full factorial categorical screen of many factors, ii) Plackett-Burman two-level screen of promising factors, and iii) orthogonal central composite design of critical factors. Optimal 24 hour packed cell volume was found with a seed medium containing (g/L): 6.6g soluble starch, 23.4g yeast extract, and Mg K2HPO4. Additionally, the effects of inoculum age and passage on resulting cycloheximide production were studied. It was found that the negative effects of increasing inoculum age and passages on cycloheximide production could be mediated by the composition of the seed medium. For the production medium, RSM analysis of 29 ingredients suggests that an optimal production medium for cycloheximide biosynthesis should contain a combination of starch (40 g/L), corn gluten (17.8 g/L), MgSO4.7H2O (1.16 g/L), and NaCl (6.38 g/L). This final production medium resulted in a cycloheximide titer of 943 µg/ml, a 6-fold improvement in antibiotic production.Department of Biology
9
Joshi, Shirish. "Simulation-optimization studies : under efficient stimulationstrategies, and a novel response surface methodology algorithm /." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-170545/.
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Nageshwaraniyergopalakrishnan, Saisrinivas. "Simulation-Based Robust Revenue Maximization Of Coal Mines Using Response Surface Methodology." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/555853.
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A robust simulation-based optimization approach is proposed for truck-shovel systems in surface coal mines to maximize the expected value of revenue obtained from loading customer trains. To this end, a large surface coal mine in North America is considered as case study. A data-driven modeling framework is developed and then applied to automatically generate a highly detailed simulation model of the mine in Arena. The framework comprises a formal information model based on Unified Modeling Language (UML), which is used to input mine structural as well as production information. Petri net-based model generation procedures are applied to automatically generate the simulation model based on the whole set of simulation inputs. Then, factors encountered in material handling operations that may affect the robustness of revenue are then classified into 1) controllable; and 2) uncontrollable categories. While controllable factors are trucks locked to routes, uncontrollable factors are inverses of summation over truck haul, and shovel loading and truck-dumping times for each route. Historical production data of the mine contained in a data warehouse is used to derive probability distributions for the uncontrollable factors. The data warehouse is implemented in Microsoft SQL, and contains snapshots of historical equipment statuses and production outputs taken at regular intervals in each shift of the mine. Response Surface Methodology is applied to derive an expression for the variance of revenue as a function of controllable and uncontrollable factors. More specifically, 1) first order and second order effects for controllable factors, 2) first order effects for uncontrollable factors, and 3) two factor interactions for controllable and uncontrollable factors are considered. Latin Hypercube Sampling method is applied for setting controllable factors and the means of uncontrollable factors. Also, Common Random Numbers method is applied to generate the sequence of pseudo-random numbers for uncontrollable factors in simulation experiments for variance reduction between different design points of the metamodel. The variance of the metamodel is validated using leave-one-out cross validation. It is later applied as an additional constraint to the mathematical formulation to maximize revenue in the simulation model using OptQuest. The decision variables in this formulation are truck locks only. Revenue is a function of the actual quality of coal delivered to each customer and their corresponding quality specifications for premiums and penalties. OptQuest is an optimization add-on for Arena that uses Tabu search and Scatter search algorithms to arrive at the optimal solution. The upper bound on the variance as a constraint is varied to obtain different sets of expected value as well as variance of optimal revenue. After comparison with results using OptQuest with random sampling and without variance expression of metamodel, it has been shown that the proposed approach can be applied to obtain the decision variable set that not only results in a higher expected value but also a narrower confidence interval for optimum revenue. According to the best of our knowledge, there are two major contributions from this research: 1) It is theoretically demonstrated using 2-point and orthonormal k-point response surfaces that Common Random Numbers reduces the error in estimation of variance of metamodel of simulation model. 2) A data-driven modeling and simulation framework has been proposed for automatically generating discrete-event simulation model of large surface coal mines to reduce modeling time, expenditure, as well as human errors associated with manual development.
11
Crisafulli, Paul J. "Response surface approximations for pitching moment including pitch-up in the multidisciplinary design optimization of a high-speed civil transport." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/45070.
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Balabanov, Vladimir Olegovich. "Development of Approximations for HSCT Wing Bending Material Weight using Response Surface Methodology." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30730.
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A procedure for generating a customized weight
function for wing bending material weight of a High Speed Civil Transport
(HSCT) is described. The weight function
is based on HSCT configuration parameters. A response
surface methodology is used to fit a quadratic polynomial to data gathered
from a large number of structural optimizations.
To reduce the time of performing a large number of structural optimizations,
coarse-grained parallelization with a master-slave processor
assignment on an Intel Paragon computer is used.
The results of the structural optimization are noisy.
Noise reduction in the structural optimization results is discussed.
It is shown that the response surface filters out this noise.
A statistical design of experiments technique is used
to minimize the number of required structural optimizations and to maintain
accuracy. Simple analysis techniques
are used to find regions of the design space where reasonable HSCT designs
could occur, thus customizing the weight function to the design requirements of
the HSCT,
while the response surface itself is created employing detailed analysis
methods.
Analysis of variance is used to
reduce the number of polynomial terms in the response surface model function.
Linear and constant corrections based on a small number of high fidelity
results
are employed to improve the accuracy of the
response surface model.
Configuration optimization of the HSCT employing a customized weight function
is compared to the configuration optimization of the HSCT with
a general weight function.Ph. D.
13
Gogu, Christian. "Facilitating Bayesian identification of elastic constants through dimensionality reduction and response surface methodology." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0025155.
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Van, Deventer David. "Discrimination of Retained Solvent Levels in Printed Food-Packaging Using Electronic Nose Systems." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/9741.
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The expanding role of electronic nose instrumentation, as a quality-monitoring tool for food-packaging materials, is examined and reviewed. The food industry is interested in determining the applicability of using an electronic nose for odor analysis of retained printing solvent levels in packaging. Three electronic nose systems were optimized for this application and their performance assessed. These include the FOX 3000, the Cyranose 320, and the QMB6.
Response surface methodology was used to generate 2nd order models of sensor response as a function of system and experimental parameters for the three electronic nose systems. Forty-seven of 50 sensor models generated were found to be significant at an a-level of 0.05. Optimum settings, that allowed adequate signals to be obtained for the full range of examined retained solvents levels, were selected for the remaining work using these models.
Performance analyses of these systems, which use three leading sensor technologies, showed that the conducting polymer sensor technology demonstrated the most discriminatory power. All three technologies proved able to discriminate among different levels of retained solvents. Each complete electronic nose system was also able to discriminate between assorted packaging having either conforming or non-conforming levels of retained solvents. Each system correctly identified 100% of unknown samples. Sensor technology had a greater effect on performance than the number of sensors used. Based on discriminatory power and practical features, the FOX 3000 and the Cyranose 320 were superior. The results indicate that electronic nose instrumentation can be used as a complimentary discriminatory tool in quality control.Master of Science
15
Yah, Fritz Alum. "Design/Evaluation of A Methodology For Performance Optimization Of Indexable Carbide Inserts." Thesis, Högskolan Dalarna, Maskinteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4574.
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In this project, two broad facets in the design of a methodology for performance optimization of indexable carbide inserts were examined. They were physical destructive testing and software simulation.For the physical testing, statistical research techniques were used for the design of the methodology. A five step method which began with Problem definition, through System identification, Statistical model formation, Data collection and Statistical analyses and results was indepthly elaborated upon. Set-up and execution of an experiment with a compression machine together with roadblocks and possible solution to curb road blocks to quality data collection were examined. 2k factorial design was illustrated and recommended for process improvement. Instances of first-order and second-order response surface analyses were encountered. In the case of curvature, test for curvature significance with center point analysis was recommended. Process optimization with method of steepest ascent and central composite design or process robustness studies of response surface analyses were also recommended.For the simulation test, AdvantEdge program was identified as the most used software for tool development. Challenges to the efficient application of this software were identified and possible solutions proposed. In conclusion, software simulation and physical testing were recommended to meet the objective of the project.
16
KANWAR, SUSHEEM. "OPTIMIZATION OF RESPONSE VARIABLE OF NATURAL FIBER REINFORCRED EPOXY COMPOSITE AND DELRIN." Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18024.
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Climate change has necessitated the development of “green” alternatives to replace existing
materials. This focus has resulted in the push towards fabricating natural fiber reinforced
polymer composites. This research work looks at rice husk ash and groundnut shell ash
reinforced epoxy composites as well as the polymer Delrin which are promising alternatives to
metal composites for a wide variety of applications. Wear test on the epoxy composites was
done using ball on flat tribometer under room temperature. A 6mm steel ball was used as a
counter body and 4 different epoxy composite samples of 3cmx3cm were used as the flat. The
4 samples were: neat epoxy, epoxy reinforced with rice husk ash, epoxy which was reinforced
using ash of groundnut shell and epoxy reinforced with both ash of rice husk as well as ash of
groundnut shell. Upon carrying out the wear test it was found that neat epoxy composite had
the maximum wear rate of 163 mm3
/Nm, whereas epoxy composite reinforced with both rice
husk ash and groundnut shell ash was the most resistant to wear. Apart from wear test, the
surface roughness of all the nine composite samples was measured and optimization through
the implementation of genetic algorithm (GA) was done. It was found that a minimum surface
roughness of 1.503μm can be obtained for an epoxy-hardener ratio of 2.99:1 and without the
addition of any reinforcements. This optimization was achieved within 102 generations. Apart
from GA, response surface methodology (RSM) and Taguchi design of experiments was
carried out as well to optimize and the results obtained closely agreed with those obtained
from GA. RSM gave an optimized surface roughness value of 1.39μm and the main effects
plot showed that the best combination of input factor was a 3:1 ratio of epoxy to hardener with
0% reinforcement. Analysis of Variance (ANOVA) showed epoxy to hardener ratio as the
most significant factor contributing 36.35% of the total effect. Similar to the epoxy
composites, optimization of response variables through GA, RSM and Taguchi design of
experiments was carried out for Delrin as well and the results compared. GA gave an
optimized value of 0.351μm surface roughness and 1788.91mm3
/min material removal rate
within 139 generations for a speed of 150rpm, feed of 0.6mm/rev and 1.49mm depth of cut.
On the other hand, RSM gave an optimized value of 0.736μm surface roughness and
2436mm3
/min material removal rate for a speed of 192.42rpm, 0.458 mm/rev feed and 1.5mm
depth of cut and Taguchi gave the best combination of input values as 150rpm speed, 0.6
mm/rev feed and 1.5mm depth of cut. These values closely agreed with that of GA. ANOVA
showed depth of cut was the most significant factor contributing 57.72% of the total effect.
17
Lin, Lung-Chang, and 林隆昌. "Optimization of Multiple Responses using Grey Relational Analysis and Dual Response Surface Methodology." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/45427507732898826583.
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碩士國立交通大學
工業工程與管理系所
101
Design of Experiment and Taguchi Method are two major off-line quality control methods used by industry to find the optimal factor-level combination. However, these two methods can only optimize single response. In recent years, the required product quality becomes complex. The innovation, design, quality of a product and manufacturing process techniques are important criteria to measure the product value. Even though we want all quality characteristics to be perfect, it is hart to reach the goal owing to the limitation of resources. Thus, we need to develop a methodology to optimize multiple responses simultaneously. This study utilizes Grey Relational Analysis and Technique for Order Performance by Similarity to Ideal Solution(TOPSIS) to construct dual response surfaces for grey relational grade of ideal solution and negative ideal solution ,respectively, for every treatment of the designed experiments to find the optimal factor-level combination. A real case from a wafer manufacturing company in Science Park at Hsinchu, Taiwan is used to demonstrate the effectiveness of the proposed method.
18
Schamburg, Jeffrey B. "A modified response surface methodology for knowledge discovery /." 2004. http://wwwlib.umi.com/dissertations/fullcit/3131400.
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HUANG, JUN-JIE, and 黃俊傑. "Optimization of bipolar devices using response surface methodology." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/80168618939964591061.
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Lee, Shing-Cheng, and 李弦政. "Applications of Response Surface Methodology in Optimum Designs." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/77443404783882378092.
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碩士國立中興大學
機械工程學系
87
In order to quickly obtain approximation results of structural analyses or experimental data, this research employs response surface method to replace finite element analyses and experiments. The optimum solutions of the design or experimental problems are sought using response surfaces for the objective and constraint functions. The response surface method is a statistical approach to create an approximate explicit function of design variables in a given design space. Therefore it is easy to compute the function values and sensitivities using response surfaces and the optimum solution can be obtained quickly. The most important concern using response surface is to generate a response function with maximum accuracy while using minimum number of design points. To increase the accuracy of response surfaces, this thesis proposes two approaches to achieve the goal. One is to reduce the original design space to its half initially and then construct response surfaces in this reduced region to find optimum solution. After locating the optimum solution, a new design region centered on the found optimum solution is created and the final solution is searched in this new region. The other approach is similar to the previous one except the reduction of design space is made on each design variable by a given reduction ratio. The design or experimental points used to construct response surfaces are determined by central composite design. In addition to reduce the design space , the transformation of input and output data will also greatly improve the accuracy of the approximations. The input and output data are transformed by taking natural logarithm and power transformation, respectively. The step wise regression technique is finally used to select the most appropriate design variables in the model. DOT/DOC software is used to solve optimum design problems in this thesis. Several examples including metal cutting experiments and structural designs are illustrated. The optimum solutions obtained by response surface are compared with known solutions.
21
Yang, chao-yu, and 楊昭瑜. "Multi-response optimization of a new adsorbent using response surface methodology." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/52259956950905342076.
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碩士淡江大學
水資源及環境工程學系碩士班
98
Most adsorbents based on iron oxides are available as fine powders or are generated in-situ in aqueous suspension as hydroxide floc or gel, making separation of these adsorbents from treated liquid very difficult. Recently, several researchers have developed techniques for coating iron oxide onto the surface of substrates to overcome the problem of solid-liquid separation. However, the iron content on the coated substrates is very low. Instead of using coating techniques, in this study iron-rich chitosan-iron oxide composites were formed by mixing chitosan and ferric chloride solution with alkaline solution. The shape, solubility of adsorbent and ratio of chitosan and iron oxides affect Arsenic (As(V)) removal efficiency. According to literatures, five factors, namely concentration of chitosan, Fe, and NaOH, height of the needle head, and the cross-linking reaction, might affect the formation of chitosan-iron oxide composites and As(V) removal efficiency were tested, and their significance were screened experimentally according to fractional factorial design. Subsequently, the selected influential variables (Fe and chitosan concentrations) were included in the regression models of Aspect ratio (%), Solubility of Fe (%), and As removal efficiency (%) which were determined by CCD and RSM. The formula for making ‘the best’ adsorbent was determined based on Derringer’s desirability function including Aspect ratio, Solubility of Fe, and As Removal efficiency. Adsorption of arsenic (V) by adsorbent produced using ‘the best’ formula was studied at pH 7.0 under equilibrium and dynamic conditions. The monolayer adsorption capacity obtained from fitting experimental data with Langmuir model was 11.72 mg/g, and the time to reach equilibrium is about 5 hours, indicating a specific adsorption occurring between the arsenic species and the surface of the adsorbent. SEM analysis reveals that the surface of adsorbent was smooth.
22
Lin, Chih-Chieh, and 林志杰. "Optimization of Organic Soymilk Pudding by Response Surface Methodology." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/68184930600052659175.
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碩士國立中興大學
食品暨應用生物科技學系
95
Organic soymilk pudding is made from organic soymilk powder, κ-carrageenan, sucrose and water with ingredients similar to the commercial milk pudding. Both their unique textural characteristics are formed by the protein-polysaccharide mixture system. The objective of this study is using the response surface methodology (RSM) to study the effects of varying concentrations of the organic soymilk powder and the κ-carrageenan on the quality of the pudding. The optimal formula is obtained from the analytical results of the physical properties and the consumer sensory evaluation of the organic soymilk pudding. The results of the overall attribute from the hedonic test confirmed the RSM experimental results. The overall hedonic score is 5.2 among the total 7 scale. The optimal formula of the organic soymilk pudding is suggested that 6.5% ~ 7.5% organic soymilk powder and 0.15% ~ 0.20% κ-carrageenan. The optimal physical properties of the hardness, the cohesiveness are 450 ~ 600 g, 0.48 ~ 0.52, respectively. The results indicate that the texture of the organic soymilk pudding is highly affected by the concentrations of the organic soymilk powder and the κ-carrageenan. The concentration of κ-carrageenan is relatively rare compared to the other ingredients in the organic soymilk pudding. However, κ-carrageenan plays an important role on the quality of the organic soymilk pudding.
23
Wu, Pei-Ju, and 吳沛儒. "Response Surface Methodology Windows Application Based on Neural Networks." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/53493272722338269922.
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碩士中華大學
資訊管理學系
95
Response Surface Methodology (RSM) is an important quality design method. Traditional RSM commonly uses regression analysis to establish response surface model. But because regression analysis must hypothesize model structure, when hypothetic structure is not correct, it is unable to establish the precise model. Artificial Neural Network (ANN) does not have to hypothesize the model structure, and can establish precise non-linear model; therefore, this study employ ANN to construct response surface model instead of regression analysis. This study considered two kinds of problems: quality design problems and the mixture design problem, and compared the ANN approach with the regression analysis approach. This study examined more than 10 artificial numerical examples and real application examples to verify them, and finally demonstrated that when the response surface model is high non-linear and experimental data is plentiful, the ANN approach can build more precise model than the regression analysis, and it can establish precise model and obtain reliable model evaluation without increasing experimental data to employ cross-validation technique to build model instead of Train-and-Test technique, which may increase the usability of ANN approach.
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Chang, Hang-Ming, and 張鴻明. "Applications of Response Surface Methodology In Structural Optimum Designs." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/33904100079318909181.
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碩士華梵大學
工業管理學系碩士班
90
Structural optimizations often utilize finite element method and optimization software to achieve optimum designs. To reduce the number of repeated, time-consuming finite element analyses and hence hasten the design cycle, the Response Surface Methodology (RSM) is employed in the optimization process. A set of complicated and/or implicit functions may be simplified by polynomial equations describing approximate relationships between the design variables and the functional responses. An optimization problem can be simplified with the objective function and the constraints replaced by polynomials and then an approximate optimum solution can be sought. The theoretical basis of RSM is a combination of experimental designs and regression analysis. A set of experimental or simulated data, based on an experimental design, is created and then analyzed using regression analysis to obtain the coefficients of the polynomial equations, which explicitly express the functional relation of the design variables and the response. The design of experiments usually adopts the central composite design or the face-centered central composite design to reduce the number of experiments required and to attain good statistical properties of the regression model. In order to achieve a better result and further accelerate the optimization process, design variables whose ranges are relatively large are transformed using the mathematical operation of natural logarithms and the design space is narrowed down gradually using move limits. Several numerical examples are provided in this thesis to demonstrate the effectiveness of the proposed procedure. MATLAB and its toolboxes are utilized to perform all calculations and analyses needed in the examples.
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Huei, Lu Kuang, and 魯光輝. "Application of Response Surface Methodology in Chlorine Purification Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/24275648179042670221.
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碩士國立高雄應用科技大學
化學工程與材料工程系
99
Chlorine has a wide application in different industry. Industrial grade chlorine can be applied in additive for sterilization in water, the raw material of hydrochloric acid, bleaching powder and polyvinyl chloride (PVC), also used in solvent manufacture of carbon tetrachloride(CCl4), chloroform(CHCl3). There are also applied for plastic additive, anti-oxidant, fire resistant and pesticides after it reacts with phosphorous and phosphorus trichloride to be phosphorous acid dimethyl ester, phosphorous acid diethyl ester and so on. Electronic grade chlorine can be commonly used dry etching process and quality improvement of thermal oxidation layer due to goodness in reaction selectivity to silicone and silicon dioxide. The process we studied is chlorine purification from industrial grade to electronic grade via unit operation in chemical engineering as adsorption, distillation section, removing impurity by separation from pure chlorine, to be products which be applied in semiconductor. The key performance we focused is distillation system to get good quality. Response surface methodology (RSM) is method for DOE, By factorial design and screen significant factors, accompany the result characteristic, to approach the optimize operation point on curvature surface via a series experiment . The study we did is major in distillation system, the key process, execute a series test. Screen factors via factor design to decide the significant ones. Then run RSM, analyze data by statistic technique to build a reliable model. Finally, the study will try to figure out a optimize point through RSM model to get more stability in process and reach initial improvement purpose.
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Wang, Yu-Ming, and 王喻民. "The Analysis of Sawing Process by Response Surface Methodology." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/wv26rk.
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碩士國立虎尾科技大學
機械與機電工程研究所
98
In accordance with the need to cut off during the metal processing, band saw machine processing technology is one of the current trends in machine tool industry. However, during the sawing process, problems such as collapse gear, belt as well as low cutting rates may often happened because of the increase change of cutting force or the regenerative of chatter generation. In order to avoid these problems, first, by finding out the static and dynamic response of machine tool characteristics, then the experimental design followed by the response surface methodology can adjust the cutting parameters getting good results. This paper can be divided into two parts. The first part focus on the static response test produced by the band saw machine. Observing the response from the case of static machine and analyzing the dynamic response of the band saw machine cutting caused by the impact. Then, analyzing the entire production process of chatter. It can be found that the experimental trends fit to the theoretical results. Chatters can be produced when it is high speed, small feed or slow speed, high feed. When the chatters are generated, they not only cause the unstable affect to the cutting system, but also affect the cutting performance greatly. With the view to solving this phenomenon, try to adjust the cutting parameters so the cutting conditions can avoid the instability of the cutting area, and achieve to more stable cutting region. Moreover, considering the cutting wear resistance for the sawtooth effect, therefore, the second part of this paper is focus on the system for chatter suppression with an attempt to reduce the cutting force. The experiment of cutting and cutting force amplitude quantization, better use of response surface methodology the cutting conditions, and further discussion about the cutting force, cutting amplitude and the relationship between cutting parameters for the stability of domestic band saw sawing machine designed to provide optimal basis.
27
Chen, Lijun Jay. "Integrated Robust Design Using Response Surface Methodology and Constrained Optimization." Thesis, 2008. http://hdl.handle.net/10012/4150.
Full textAbstract:
System design, parameter design, and tolerance design are the three stages of product or process development advocated by Genichi Taguchi. Parameter design, or robust parameter design (RPD), is the method to determine nominal parameter values of controllable variables such that the quality characteristics can meet the specifications and the variability transmitted from uncontrollable or noise variables is minimized for the process or product. Tolerance design is used to determine the best limits for the parameters to meet the variation and economical requirements of the design.
In this thesis, response surface methodology (RSM) and nonlinear programming methods are adopted to integrate the parameter and tolerance design. The joint optimization method that conducts parameter design and tolerance design simultaneously is more effective than the traditional sequential process. While Taguchi proposed the crossed array design, the combined array design approach is more flexible and efficient since it combines controllable factors, internal noise factors, and external noise factors in a single array design. A combined array design and the dual response surface method can provide detailed information of the process through process mean and process variance obtained from the response model. Among a variety of cuboidal designs and spherical designs, standard or modified central composite designs (CCD) or face-centered cube (FCC) designs are ideal for fitting second-order response surface models, which are widely applied in manufacturing processes. Box-Behnken design (BBD), mixed resolution design (MRD), and small composite design (SCD) are also discussed as alternatives. After modeling the system, nonlinear programming can be used to solve the constrained optimization problem. Dual RSM, mean square error (MSE) loss criterion, generalized linear model, and desirability function approach can be selected to work with quality loss function and production cost function to formulate the object function for optimization. This research also extends robust design and RSM from single response to the study of multiple responses.
It was shown that the RSM is superior to Taguchi approach and is a natural fit for robust design problems. Based on our study, we can conclude that dual RSM can work very well with ordinary least squares method or generalized linear model (GLM) to solve robust parameter design problems. In addition, desirability function approach is a good selection for multiple-response parameter design problems. It was confirmed that considering the internal noise factors (standard deviations of the control factors) will improve the regression model and have a more appropriate optimal solution. In addition, simulating the internal noise factors as control variables in the combined array design is an attractive alternative to the traditional method that models the internal noise factors as part of the noise variables.
The purpose of this research is to develop the framework for robust design and the strategies for RSM. The practical objective is to obtain the optimal parameters and tolerances of the design variables in a system with single or multiple quality characteristics, and thereby achieve the goal of improving the quality of products and processes in a cost effective manner. It was demonstrated that the proposed methodology is appropriate for solving complex design problems in industry applications.
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Jen, Hsu-An, and 鄭旭安. "Optimum Design of Helicopter Rotor Blade by Response Surface Methodology." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/21715930665472982362.
Full textAbstract:
碩士淡江大學
航空太空工程學系碩士班
93
This study presents an application of Response Surface Methodology (RSM) for a helicopter rotor blade design through an unsteady wake dynamic and aerodynamic coupling system. The purpose of this study is to obtain the optimal configuration of the blade which to minimize the power output and also maintain lift force in a mission. RSM is a method of constructing system behavior, approximate function based on results calculated at various points in the design space. Therefore, the computational time can be saved by using the approximate function to obtain the solution by optimum method. The unsteady wake dynamic system is simulated by the Peters finite state inflow theory. The blade element theory and lifting-line theory are used to formulate the aerodynamic force for a blade. The technique of reducing the design space was used to achieve the best approximation efficiently. The chord length and twist angle will be implemented as design variables simultaneously. To ensure the relationship between design variables and responses, the advantage of RSM can be used in this study. The optimum design and performance analysis of BELL UH-1H helicopter will be discussed in the numerical example. Finally, this study will compare those results with other references, which demonstrate the advantages and feasibility of the RSM and optimum method of helicopter structural design.
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楊志勇. "A study of structural optimum design by response surface methodology." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/21390975457224587204.
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Yi, Lin Huan, and 林桓邑. "Investigation of fermented green beans by using response surface methodology." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/xfz74f.
Full textAbstract:
碩士高苑科技大學
化工與生化工程研究所
103
In this study, we sought individually the optimum extraction conditions of functional compounds and antioxidant activities from green bean ferment powder by rotary evaporator using response surface methodology (RSM). The effects contain extraction temperature (30.0 – 80.0 ℃), extraction rotational speed (30.0 – 100.0 rpm), modifier composition (30.0 – 80.0 %, in water), ethanol modifier (30 mL–120 mL) and extraction time (30 min–120 min) under a fixed weight of 1 g of green bean ferment powder. The optimal operation parameters of total flavanones yield were also identified as follows: extraction temperature 80 oC; extraction rotational speed 110.28 rpm; modifier composition 84.47 %; ethanol modifier 120 mL; extraction time 120 min. Under the optimal conditions, the extraction yield of the key component was total flavanones 12.56 mgHesperetin/g (predictive value of simulation equation was 12.67 mgHesperetin/g). The optimal operation parameters of total polysaccharide yield were also identified as follows: extraction temperature 86.25 oC; extraction rotational speed 100 rpm; modifier composition 0.0 %; ethanol modifier 30 mL; extraction time 120 min. Under the optimal conditions, the extraction yield of the key component was total polysaccharide 364.34 mgGlucose/g (predictive value of simulation equation was 365.8 mgGlucose/g). The optimal operation parameters of free radical scavenging activity were also identified as follows: extraction temperature 80 oC; extraction rotational speed 30.0 rpm; modifier composition 8.30 %; ethanol modifier 44.88 mL; extraction time 30 min. Under the optimal conditions, the key ability of free radical scavenging activity was 65.79 % (predictive value of simulation equation was 66.44 %). The optimal operation parameters of trolox equivalent antioxidant capacity were also identified as follows: extraction temperature 50 oC; extraction rotational speed 30.0 rpm; modifier composition 4.86 %; ethanol modifier 44.84 mL; extraction time 120 min. Under the optimal conditions, the key ability of trolox equivalent antioxidant capacity was 71.37 % (predictive value of simulation equation was 71.63 %). Keywords: green bean ferment powder, response surface methodology, total flavanones, total polysaccharide, metal chelating activity , free radical scavenging activity, trolox equivalent antioxidant capacity
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Fang, Jiunn-Shyong, and 方俊雄. "Application and Analysis of Response Surface Methodology in Tolerance Allocation." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/71898211731330282236.
Full textAbstract:
碩士逢甲大學
工業工程研究所
86
During the design of mechanical parts, the tolerance allocation of each component has made the designer the most difficult place. Before, the way of the engineer to decide tolerance allocation is simply by their own experience , as well as checking the standard tolerance chart. However, considering the cost, those may not be the optimal method .So that, we apply the Response Surface Methodology (RSM) to decide the optimal allocation for each component. RSM combined with statistical and mathematical applications . By the studies of reactive value caused by multiple variations, and the best outcome of the reactive value, that will be the best method for the model establishment and problems analysis . Under the least costing purpose, by using SAS RSREG procedure to do the analysis of Response Surface, and find out the optimal tolerance value of each component. Together with the cost of regression model to change the tolerance value in order to evaluate the final cost.
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WANG, RUI-QI, and 王瑞麒. "Bayesian estimation of stationary point of a response surface methodology." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/67601530675405989561.
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Lin, Wan-Heng, and 林萬衡. "Application of Response Surface Methodology in CCFL Optimization Coating Process." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/75141943259433441990.
Full textAbstract:
碩士元智大學
工業工程與管理學系
98
Cold Cathode Fluorescent Lamp (CCFL) is extensive use. application including in Back light, Scanner, Exit Sign, and Light Box. Especially for LCD back light, one million CCFL are used per year in Taiwan currently. As this fast and wide growing market, quality becames a major factor of product. Purpose of this research is to have investigation on optimized quality of CCFL, and to have optimizes prcess parameter with minimum time and experimental expense.. Firstly, analyze failure mode and defect rate by adopting Pareto Diagram and then using brain storming to generate cause and effect diagram. It could list all possibility key factors which may impact quality of products. Secondly, base on the key factors of product quality to have optimized parameters by using central composite design of response surface method.
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Chaturvedi, Vedansh. "Parametric Optimization of Fused Deposition Modeling using Response Surface MEthodology." Thesis, 2009. http://ethesis.nitrkl.ac.in/1497/1/M.Tech._thesis_vedansh.pdf.
Full textAbstract:
Fused deposition modeling (FDM) is a process for developing rapid prototype (RP) objects by depositing fused layers of material according to numerically defined cross sectional geometry. The quality of FDM produced parts is significantly affected by various parameters used in the process. This dissertation work aims to study the effect of five process parameters such as layer thickness, sample orientation, raster angle, raster width, and air gap on mechanical property of FDM processed parts. In order to reduce experimental runs, response surface methodology (RSM) based on central composite design is adopted. Specimens are prepared for tensile, flexural, and impact test as per ASTM standards. Empirical relations among responses and process parameters are determined and their validity is proved using analysis of variance (ANOVA) and the normal probability plot of residuals. Response surface plots are analyzed to establish main factor effects and their interaction on responses. Optimal factor settings for maximization of each response have been determined. Major reason for weak strength of FDM processed parts may be attributed to distortion within the layer or between the layers while building the parts due to temperature gradient. Since RP parts are subjected to different loading conditions, practical implication suggests that more than one response must be optimized simultaneously. To this end, mechanical properties like tensile strength, bending strength, and impact strength of the produced component are considered as multiple responses and simultaneous optimization has been carried out with the help of response optimizer. Grey relation has been employed to convert multiple responses into a single response for optimization purpose. It is interesting to note that factor level settings for simultaneous optimization of all responses significantly differ from optimization with single response.
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Sudasna-na-Ayudthya, Prapaisri. "Comparison of response surface model and Taguchi methodology for robust design." Thesis, 1992. http://hdl.handle.net/1957/37196.
Full textAbstract:
The principal objective of this study was to compare the results of a proposed
method based upon the response surface model to the Taguchi method. To modify the
Taguchi method, the proposed model was developed to encompass the following
objectives. The first, with the exception of the Taguchi inner array, was obtain optimal
design variable settings with minimum variations, at the same time achieving the target
value of the nominal-the best performance quality characteristics. The second was to
eliminate the need for the use of a noise matrix (that is, the Taguchi outer array),
resulting in the significant reduction of the number of experimental runs required to
implement the model. The final objective was to provide a method whereby signal-tonoise
ratios could be eliminated as performance statistics.
To implement the proposed method, a central composite design (CCD)
experiment was selected as a second-order response surface design for the estimation of
mean response functions. A Taylor's series expansion was applied to obtain estimated
variance expressions for a fitted second-order model. Performance measures, including
mean squared error, bias and variance, were obtained by simulations at optimal settings.
Nine test problems were developed to test the accuracy of the proposed CCD method.
Statistical comparisons of the proposed method to the Taguchi method were performed.
Experimental results indicated that the proposed response surface model can be used to
provide significant improvement in product quality. Moreover, by the reduction of the
number of experimental runs required for use of the Taguchi method, lower cost process
design can be achieved by use of the CCD method.Graduation date: 1993
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Tsai, Yang-Hau, and 蔡陽豪. "Thermal Optimal Chip Placement Design of MCMs Using Response Surface Methodology." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/26547842549967250709.
Full textAbstract:
碩士逢甲大學
航空工程所
93
ABSTRACT As the product’s form factor continues decrease while the number of chips continues increase, the power densities of multiple-chip modules (MCMs) become dramatically growing, leading to a high temperature field that would generally result in high stress, and eventually lowering the fatigue life of packages. In this aspect, thermal management becomes exceptionally critical to both the reliability and operation performance of MCMs. Successful thermal management requires an effective and robust design optimization scheme to perform automated design as well as an effective thermal characterization approach to systematically assess the thermal performance of electronic packages under various configurations. In the study, two major works are carried out: 1) thermal characterization of MCMS through finite element (FE) modeling, and 2) thermal design of MCMS through design optimization. The validity of the proposed FE modeling for thermal characterization of MCMs is verified through the published experimental data (Cheng et al. [13]). Furthermore, a response surface-based design optimization scheme is proposed for minimization of the total system chip junction temperature. The scheme basically integrates a response surface methodology together with FE modeling for constructing an approximate macro expression of the total system chip junction temperature. In addition, a novel response surface methodology is introduced, which incorporates several experimental design plans, including the face central composite design (FCCD), the fractional factorial design, and the Holtan sequence. The effectiveness of these experimental design plans for the current investigation is assessed, and most importantly, the optimal results are also extensively compared with those of [22].
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Hsieh, Chih-Han, and 謝至涵. "Optimization of Enzymatic Synthesis of Hexyl Laurate by Response Surface Methodology." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/40194839675569801849.
Full textAbstract:
碩士大葉大學
生物產業科技學系
93
The definition of the emollient on the cosmetics is that “toiletry consisting of any of various substances resembling cream that have a soothing and moisturizing effect when applied to the skin”. The emollient is often added in the products for skin protection, which makes the skin feel gentle and comfortable. The skin protection are very important in the cosmetics, and it has wide applications. At present, the fatty acid, alcohol and ester used in the cosmetics were hydrolysed from the oil and wax of animals and plants origin. The ester can be produced by resting fatty acid and an alcohol of low molecular weight. For example, isopropyl myristate and hexyl laurate have the characteristic of emollient. According to currently available references, most of them used esterification of the short chain fatty acid with alcohol using lipase. The esterification of the long chain fatty acid with the lipase is quite limited in the literature. Currently, industries carried out esterification of the long chain fatty acid through chemical processes. The ability for immobilized lipase from Rhizomucor miehei (Lipozyme IM77) to catalyze the direct esterification of lauric acids and 1-hexanol in solvent-free environment was investigated in this study. Response surface methodology (RSM) and 5–level–4–factor central composite rotatable design (CCRD) were employed to evaluate the effects of synthesis parameters, such as reaction time (10–50 min), temperature (45–85 °C), enzyme amount (10–30 mg), pH memory(5–9) on percentage molar conversion of hexyl laurate by the direct esterification. The results showed that temperature and enzyme amount significantly affected the percent molar conversion of hexyl laurate in the solvent system. Based on ridge max analysis, the optimum synthesis conditions with 90.0% molar conversion were: reaction time 74.8 min、 47.8 °C、enzyme amount 45% and substrate molar ratio (1.5:1). In solvent-free system, results showed that percent molar conversion of hexyl laurate affected by temperature、time and enzyme amount. Based on ridge max analysis, the optimum synthesis conditions with 69.7% molar conversion in the solvent-free were: reaction time 40.6 min, temperature 58.2 °C, enzyme amount 25.4 mg, and pH memory 5.9.
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Yu, Yu-Po, and 余玉博. "Optimization of Enzymatic Synthesis of Phytostanyl Ester by Response Surface Methodology." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/75032304200135582198.
Full textAbstract:
碩士大葉大學
生物產業科技學系
93
Phytosterols (Plant sterol) are members of the “triterpene” family of natural products, which includes more than 100 different phytosterols and more than 4000 other types of triterpenes. Recently, phytosteryl ester have been found to be effective in lowering plasma cholesterol concentration by inhibiting the absorption of cholesterol in the small intestine. Therefore, phytosteryl esters are frequently added to cooking oil and function food. Traditionally, it has been isolated from natural sources or produced by chemical synthesis. Nowadays, people focus more on natural products for health benefits. Therefore, the biosynthesis of such esters by lipase-catalyzed chemical reactions under mild conditions has become more attractive to modern industries. The present work focuses on the ability of lipase from Candida rugosa (Lipase AY) to catalyze the esterification of sitostanol with butyric anhydride. Response surface methodology (RSM) and five-level-four-factor central composite rotatable design (CCRD) were adopted to evaluate the effects of synthesis variables, such as reaction time (2–10 h), temperature (25–65 ºC), substrate molar ratio (1–3; Acyl noner/Alcohol), enzyme amount (10–50%w/w, by wt. of sitostanol) on percentage molar conversion of sitostanyl butyrate. The results showed that sitostanyl butyrate can been successfully synthesized by Lipase AY in solvent system. The optimum molar conversion of sitostanyl butyrate was 54.4% at 6.2 h、28.8 ºC、41.6% enzyme amount and substrate molar ratio of 2
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Fang-Yi, Chen, and 陳芳怡. "Optimization of Enzymatic Synthesis l-Menthyl Butyrate by Response Surface Methodology." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/76868282568157125915.
Full textAbstract:
碩士大葉大學
生物產業科技學系
93
Abstract l-Menthol is widely used in food, flavor, medical, and cosmetic in the industry. Its activity mainly depends on its pure optical type. The yearly demand of menthol is about twelve thousand tons in the world. l-Menthyl acetate, a colorless liquid with fresh fruity peppermint odor, is prepared by esterification of l-menthol with acetic anhydride. It is able to reder peppermint fragrance in nonaqueous systems. At present, l-menthyl ester is mainly prepared through chemical reaction; however, its productivity step is inextricable, time- consuming, and more dangerous. Therefore, the major purpose of this study is to catalyze directed esterification of l-menthol and butyric anhydride in anhydrous organic solvent by the stereoselectivity of Candida rugosa lipase (Lipase AY-30). Response surface methodology (RSM) and five-level- four- factor central composite rotatable design (CCRD) were adopted to evaluate the effects of synthesis variables, such as reaction time (2–10 hr), temperature (25–65 °C), substrate molar ratio (l-menthol:butyric anhydride=1:1–1:3), and enzyme amount (10–50%), on percentage molar conversion of l-menthyl butyrate; to find the optimum conditions of l-menthyl butyrate by contour plots analysis. The results showed that reaction time, temperature and enzyme amount have marked effect for molar conversion of l-menthyl ester. The optimum conditions of l-menthyl butyrate synthesis was:reaction time 8.7 hr, temperature 37.1 °C, substrate molar ratio 1.0:2.6 (l-menthol : butyric anhydride), 31.7% enzyme amount, and the highest yield was 72.6%.
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Ting, Cheng Wei, and 埕瑋婷. "Investigation of the Puer tea extraction by using response surface methodology." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/4gx672.
Full textAbstract:
碩士高苑科技大學
化工與生化工程研究所
103
In this study, we sought individually the optimum extraction conditions of antioxidant extraction yield and antioxidant activities by powerful ultrasonic processor from Puer tea. It sought a suitable Puer tea about high antioxidant content and antioxidant activities under ultrasonic power of 50W, the weight of tea powder of 1.0 g, addition volume of ethanol modifier of 80.0 mL, included ethanol composition of 30% (in water) and extraction time of 45 min among different Puer tea (semi-made tea, bread tea, brick tea and bowl tea). From the results, the Yibang bread tea owns high antioxidant content and antioxidant activities. In order to seek the optimum extraction conditions of Yibang bread tea, it used response surface methodology (RSM) to design the experiments. The optimal operation parameters of total polyphenol were also identified as follows: power of 45.0 W, extraction temperature of 84.8 °C, tea powder concentration of 2.07 mg/mL, flow rate of 400.0 mL/min, extraction time of 45 min and included ethanol composition of 80% (in water). The extraction yields of the key components were total polyphenol 275.53 mgGallic acid/g. The optimal operation parameters of total polysaccharide were also identified as follows: power of 45.0 W, extraction temperature of 85.1 °C, tea powder concentration of 2.26 mg/mL, flow rate of 400.0 mL/min, extraction time of 15.0 min and included ethanol composition of 40% (in water). The extraction yields of the key components were total polysaccharide 767.18 mgGlucose/g. The optimal operation parameters of trolox equivalent antioxidant capacity (TEAC) were also identified as follows: power of 45.0 W, extraction temperature of 85.3 °C, tea powder concentration of 12.08 mg/mL, flow rate of 800.0 mL/min, extraction time of 15.0 min and included ethanol composition of 80% (in water). The trolox equivalent antioxidant capacity (TEAC) was 79.04 % (dilution rate is 30). The optimal operation parameters of ferric reducing antioxidant power (FRAP) were also identified as follows: power of 45.0 W, extraction temperature of 85.1 °C, tea powder concentration of 5.0 mg/mL, flow rate of 904.0 mL/min, extraction time of 50.0 min and included ethanol composition of 80% (in water). The ferric reducing antioxidant power (FRAP) was 2348.4 mgFeSO4/g. The optimal operation parameters of reducing power were also identified as follows: power of 45.0 W, extraction temperature of 85.3 °C, tea powder concentration of 2.12 mg/mL, flow rate of 800.0 mL/min, extraction time of 50.0 min and included ethanol composition of 40% (in water). The reducing power was 871.56 mgBHT/g. The powerful ultrasonic extraction technology with RSM experimental design could reduce a half experimental time, it was effective to extract the antioxidant compounds and improve extract antioxidant activities. The results indicated that puer tea is good for the health. Puer tea could apply to cosmetics and health products, it more enhance the commercial value of Puer tea.
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Lin, Jyun-Cheng, and 林俊呈. "Investigation of the Hibiscus flower extraction by using response surface methodology." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/wnwzk8.
Full textAbstract:
碩士高苑科技大學
化工與生化工程研究所
103
Supercritical CO2 fluid is widely used as the extractant due to its nontoxic nature, relatively lower price, higher diffusivity, lower critical temperature and lower critical pressure. Therefore, supercritical CO2 fluid extraction (SFE-CO2) is an increasingly important processing technique for extracting functional compounds from plant materials. In this study, we sought individually the optimum extraction conditions of functional compounds and antioxidant ability from Hibiscus taiwanensis S. Y. Hu flowers by SFE-CO2 with ethanol modifier using response surface methodology (RSM). 1. The optimum conditions of polysaccharides of collection vessel under under a fixed weight of 1.0 g of Hibiscus taiwanensis S. Y. Hu flowers were extraction pressure 2000.0 psi, extraction temperature 30.0℃, aqueous ethanol composition 57.28 %, addition volume of aqueous ethanol 85.89 mL, statics extraction time 15.0 min, dynamic extraction time 15.0 min, and CO2-flow rate 4.0 NL/min. With eight batch extractions under the optimal conditions, the extraction yields of the key components were total polysaccharide, 632.212 mgGlucose/g; total polyphenol, 15.406 mgGallic acid/g; total flavonols, 4.744 mgQuercetin/g. The reducing power was 44.054 mgBHT/g and the ferric reducing antioxidant power (FRAP) was 70.848 mgFeSO4/g. 2. The optimum conditions of metal chelating activity of extraction vessel under a fixed weight of 1.0 g of Hibiscus taiwanensis S. Y. Hu flowers were extraction pressure 2000.0 psi, extraction temperature 60.0℃, aqueous ethanol composition 21.53 %, addition volume of aqueous ethanol 80.0 mL, statics extraction time 40.0 min, dynamic extraction time 15.0 min, and CO2-flow rate 2.90 NL/min. With one batch extractions under the optimal conditions, the key ability of metal chelating activity was 94.34 %, free radical scavenging activity was 91.09 %, trolox equivalent antioxidant capacity (TEAC) was 53.03 %. The functional compound contents and antioxidant activities of white flowers are higher than pink and peach flowers. And flower was higher than rhizome section. The results could be fitted by = N=1 A ( 1 - exp ( - N ( tS + tD ) / B ) ) equation.
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Chang, Chih-Cheng, and 張志成. "Use Response Surface Methodology to Study Lipid Production by Thraustochytrium sp．." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/55157291236311718316.
Full textAbstract:
碩士大葉大學
生物產業科技學系碩士在職專班
96
Docosahexaenoic acid is a Polyunsaturated fatty acid that cannot be synthesized in human cell, and therefore must be supplied in the diet .It can help to lower levels of serum cholesterol and triglycerides and to prevent hypertension ; it also has anti- inflammation function. Thraustochytrium sp. was screened for the production of Docosahexaenoic acid.in this study, response surface methodology was used to study the growth of Thraustochytrium sp.,the production of lipid and to develop a numerical model.The method of one-factor-at-a-time was used to investigate the effects of cultivating conditions, including the carbon and nitrogen sources,concentrations of glucose and ammonium chloride, initial pH ,and temperature on the microbial growth and lipid production by Thraustochytrium sp. Then, the central composite design was used to obtain optimal production of lipid. The results by one-factor-at-a-time method showed that Thraustochytrium sp. was best cultivated in a medium with 40 g/L glucose and 1.0 g/L ammonium chloride,under 25℃and pH 6.0. Based on the resuts by one-factor-at-a-time,a central composite design of three factors, each with two levels,was designed,and 8 factorial,6 compensate and 2 central experiments were conducted. The ranges for the ammonium chloride concentration and the pH were the same in both cultures of Thraustochytrium sp. The concentration of glucose at the central point was 40g/L . The experiments were carried our and results were analyzed with statistical software,STATISTICA. The optimal cultivating condition for Thraustochytrium sp. was as follows: glucose 40.52 g/L,ammonium chloide1.07 g/L, and pH6.19, and the Lipid production 227.69 mg/L(95% of the expected result) , R2＝0.9261. Under the optimal conditions bactch cultivation of Thraustochytrium sp.were conducted in a 5L fermentor. Cultivate Thraustochytrium sp. at 25℃ for 99hr, the biomass was 2.3 g/L , it is 2.7 times more than in a shaker with the optimal conditions; the lipid production is 943 mg/L , it is 4.35 times more than in a shaker with the optimal conditions .
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楊忠倫. "Optimization of Lipase-Catalyzed L-Ascorbyl Laurate by Response Surface Methodology." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/47942164996348275901.
Full textAbstract:
碩士大葉大學
生物產業科技學系碩士班
92
The oxidation of ascorbyl esters are widely used in food industry, cosmetics and medical hygiene. Because L-ascorbic acid is hydrophilic antioxidant, it is not easy to preserve. This work utilized solvent engineering, used lipases Novoyme®435 in direct esterification to study on solvent polarity influence productive in ascorbyl laurate, utilized n-Hexane, 2-methyl-2-butanol (2M2B)and acetonitrile were used as solvent composite blends, and each solvent composite was form 0-3 mL. Mixture Response Surface Methodology and Triangular contour plots were used to observe solvent polarity influence products in lipase-catalyzed ascorbyl laurate. Response surface methodology (RSM)and five-level-four-factor central composite ratatable design (CCRD)were adopted to evaluate the effects of synthesis variables, such as reaction time (2-10 hr), temperature (25-65 C), substrate molar ratio (alcohol:fatty acid = 1:1-1:5), and enzyme amount (5-25 mg), on percentage molar conversion of ascorbyl laurate. The results showed, ascorbyl laurate was at nearly polar organic solvent reaction system (2M2B and acetonitrile), conversion reached to 50.00%. At non-polar organic solvent reaction system (n-hexane), conversion only reached to 30.00%. When solvent was acetonitrile, conversion reached to 86.50% of ascorbyl laurate. The optimum conditions of ascorbyl laurate synthesis was: reaction time 8hr, temperature 40 C, substrate molar ratio 1.0:4.5 (alcohol:fatty acid), enzyme amount 20 mg, and the highest yield was 78.44%.
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Yi-Fan, Ling, and 凌逸凡. "Optimization of Enzymatic Synthesis of Octyl Hydroxyphenylpropionate by Response Surface Methodology." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/90737950579354839062.
Full textAbstract:
碩士大葉大學
食品工程學系碩士班
92
Phenolic acids are widely known as efficient antioxidants in biological systems. Generally, the solubility of natural antioxidants might be a restriction to the practical applications in hydrophobic media. Therefore, the esterification of phenolic acid with alcohol can be a tool to alter physical properties like solubility and activity of the lipophilic antioxidants in oil based formulae and emulsions. Phenols can be converted into esters by esterification with acid chlorides or acid anhydrides; however, these routes do not meet the requirements necessary for food applications. Recently the esterification of organic acids via enzymatic routes has been successfully reported in some studies. The ability for immobilized lipase Candida antarctica (Novozyme435) to catalyze the direct esterification of p-hydroxyphenylpropionic acid and octanol was investigated in this study. Response surface methodology (RSM) and 5-level-4-factor central composite rotatable design (CCRD) were employed to evaluate the effects of synthesis parameters, such as reaction time (24−72 h), temperature (25−65 C), enzyme amount (10−50%, w/w), and pH memory (pH 5−9) on percentage molar conversion of phenolic acid ester. Reaction time, temperature and enzyme amount were the most important variables. Based on ridge max analysis, the optimum synthesis conditions with 96% molar conversion were: reaction time 58 h, temperature 53 C, enzyme amount 38%, and pH memory 7.
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Tsai, Fuhuang, and 蔡輔晃. "A Comparison Study of Response Surface Methodology versus Basis Representation Methods." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/57253185691375591244.
Full textAbstract:
碩士國立高雄大學
統計學研究所
94
Here we proposed a new algorithm named Basis-based response surface method(BRSM) that aiming at solving optimization problems arising in computer experiments. Techniques taken from experimental design, statistical approximation, and image representation are incorporated carefully in the proposed algorithm. The method iteratively construct surrogate surfaces over the whole experimental region by using overcomplete basis functions to predict possible optimum points and next experiments. We do test on some typical response surface and comparison between the RSM and the BRSM. Numerical result show that BRSM is quite efficient for finding single or multiple optima of smooth response surfaces.
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Hui-Juan, Su, and 蘇慧娟. "Improve the Performance of Genetic Algorithms Using the Response Surface Methodology." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/96736630345173503386.
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碩士國立屏東科技大學
工業管理系所
101
Genetic algorithms are processes following the biological evolutionary rules to search optimal solutions. Because genetic algorithms are based on simple principles and easily written into computer programs, the kind of algorithms becomes a popular tool to solve integer programming problems. The parameter setting is the most important issue for the performance of searching process of a genetic algorithm. Since some parameter values of genetic algorithms range in continuous intervals, the response surface method seems to be the best choice to design high performance parameters for a genetic algorithm. However, the surface response method is not popular when one designs the parameters for genetic algorithms. The reason is that parameters, the number of population and the number of iterations, are unbounded and the resulted value of objective function and the values of these two parameters are in the direct proportion. If one considers the parameters of genetic algorithms as the control factors and the resulted value of objective function as the response value, the response surface method will not stop iterating to increase the values of these two parameters. In addition, designing large numbers for these two parameters will result long computation time and that will make an algorithm inefficient. Therefore, this paper introduces a method to define the control factors instead of considers each of parameters of genetic algorithms as a control factor of the response surface method. Then, the response surface method can be used to design the parameters of genetic algorithms. The performance of the parameter setting from the response surface method will be proved by using a large scale integer programming, the Taiwan High Speed Rail Scheduling problem. The result shows that the parameter setting from the response surface method is better than the one from the popular Taguchi method.
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Lin, Hsiao-Hsien, and 林效賢. "Application of response surface methodology in the SMT reflow soldering process." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/20233729506760431863.
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碩士龍華科技大學
機械工程系碩士班
102
The Surface Mount Technology (SMT) has been widely applied in the manufacturing process of electronic products. With the SMT, the lightweight and multi-functional electronic products can be put into mass production. The SMT includes three manufacturing processes, i.e. screen printer, component placement and reflow process. The reflow process is a process in which a solder paste is melted to joint electrical components to their print circuit boards. The strength of welding point is an important quality for the SMT, however, it mainly relies on engineers’ practice experience to keep process stable. The effect of four SMT parameters, i.e. maximum temperature, warm-up time, reflow time and cooling rate, on melt qualities were discussed. Longitudinal and lateral thrust destructive tests were used to find the strength of the welding point. The relationship between the four SMT parameters and the longitudinal and lateral drawing forces was constructed using Response surface method. Then the optimum combination of the factors can be obtained for the best quality of welding point. Finally, the IMC layer distribution was observed from the cross section of the welding point. Experimental results show that maximum temperature is the most important parameter affecting the strength of the welding point. The research findings can be applied in production line by process engineers to achieve required process reliability strength.
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Dai, Wei Chen, and 戴瑋辰. "Optimization of Enzymatic Synthesis of Butyl Propionate Using Response Surface Methodology." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/39421829800049199119.
Full textAbstract:
碩士明志科技大學
生化工程研究所
99
The production of butyl propionate using propionic acid and butanol was catalyzed by commercial lipase enzyme (Novozym 435). A five-level four-variable and central composite designed response surface methodology (RSM) was employed to evaluate the parametric effects on esterification of butanol and propionic acid. The effects of temperature (30-50°C), molar ratios of butanol to propionic acid (10:1-1:1), amounts of enzyme used (0.5-2.5 %), and reaction time (12-36 hr) on conversion rates were investigated. The results showed that increasing temperature, butanol/propionic acid molar ratio, enzyme amount and reaction time increased the production of butyl propionate. An empirical model for predicting the conversion was developed. The empirical model was statistically verified with experimental data, indicating its experimental acceptance. Therefore, the model could be successfully employed to determine the optimal reaction conditions for butly propionate synthesis. The optimal conditions derived via RSM for the reaction were temperature of 43.4°C, butanol/propionic acid molar ratio of 9:1, enzyme amount of 0.75 g, and reaction time of 27 hr. The actual conversion reached 95.56% under optimal conditions, which is close to thepredicted value of 94.6%.
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Tzu-HsienYeh and 葉梓賢. "Performance Optimization of Axial Flow Fan Motor Using Response Surface Methodology." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/32tg6j.
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碩士國立成功大學
電機工程學系
106
For the application of cooling systems, fan motors operate day and night. Therefore, the cost of the electricity and the efficiency of the motor should be considered. In this thesis, in order to improve the performance of the motor for axial-flow fan application, a combination of Response Surface Methodology and Genetic Algorithm is proposed to maximize motor efficiency and output torque, and minimize the torque ripple. The proposed RSM is built by running FEA simulations and then combined with the search algorithm (GA). After the optimization process, the method is validated by comparing the initial design, optimized design and a single phase motor (Produced by the manufacturer) using FEA software. In order to confirm the design performance, the prototypes were tested. The results show that the efficiency of the optimized design appeared to be the best.
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Chou, Chih-Chan, and 周志展. "Enhanced Bacterial Cellulose Production by Komactobacter intermedius Using Response Surface Methodology." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/j23f6x.
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碩士國立臺灣大學
生物科技研究所
107
Bacterial cellulose (BC) is a biopolymer with extraordinary material properties such as high tensile strength, high water holding capability and high bio-compatibility; thus possessing great potential for diverse applications. This study aims to enhance BC productivity of an indigenous cellulose producing bacteria Komactobacter intermedius BCRC 910677 via response surface methodology (RSM) optimized medium. Fructose and peptone were used as carbon and nitrogen sources respectively for this medium as they both showed good productivity compared to other carbon and nitrogen sources in the initial test. In RSM study, Box-Behnken design (BBD) is applied for experimental design as the three factors, fructose concentrations, peptone concentrations and pH values were tested in order to obtain optimal medium composition for BC production. The resulting optimized medium contains fructose 41 g/L, peptone 38 g/L at pH 5.2 and increased 3.8 fold production compared to Hestrin-Schramm (HS) medium. In this study it can be seen that RSM optimized composition is a promising apprpaoch to increase BC productivity. Inspection under scanning electron microscope (SEM) reveals that fiber diameter range from 14-70 nm, with an average diameter of 38 nm, while the range for fiber diameter of the HS medium was 21-147 nm with an average of 50 nm.