Dissertations / Theses on the topic 'Multi factor response surface'
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Qu, Xueyong. "Reliability-based structural optimization using response surface approximations and probabilistic sufficiency factor." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0004395.
Full textTruong, David Hien. "Single-Step Factor Screening and Response Surface Optimization Using Optimal Designs with Minimal Aliasing." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/64.
Full textLombardi, Anna. "Linear and ultrafast response of individual multi-material nanoparticles." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10141.
Full textOptical and vibrational properties of individual metal-based nanoparticles have been investigated by spatial modulation spectroscopy (SMS), focusing on their dependence on nano-object shape, composition, environment and inter-particle coupling. Quantitative investigations of the optical response, and in particular, the surface plasmon resonance (extinction cross-section amplitude, spectral position and linewidth) of elongated metal or metal-dielectric (gold nanorods, nanobipyramids with or without silica coating) and bimetallic (gold-silver heterodimers) nanoparticles deposited on a substrate have first been performed. The same nanoparticles were characterized by electron microscopy permitting quantitative interpretation of their optical response using finite element numerical simulations, taking into account the influence of the substrate. Combining SMS microscopy with a high sensitivity femtosecond two-color pump-probe setup, the ultrafast dynamics of single nano-objects has been investigated. The Fano absorption profile of a gold nanoparticle within a single gold-silver heterodimer, a parameter not accessible by linear spectroscopy, was directly measured. On a picosecond time-scale, multimodal acoustic vibrations of single gold nanobipyramids were optically lunched and detected, and their features compared to a model based on continuum elasticity
Demko, Daniel Todd. "Tools for Multi-Objective and Multi-Disciplinary Optimization in Naval Ship Design." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/31743.
Full textMaster of Science
Hadjiilias, Hippokrates A. "The aerodynamic design and optimization of a wing-fuselage junction fillet as part of a multi-disciplinary optimization process during the early aircraft design stages." Thesis, Cranfield University, 1996. http://hdl.handle.net/1826/3443.
Full textTu, Wei. "Response modelling of pavement subjected to dynamic surface loading based on stress-based multi-layered plate theory." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1188066023.
Full textChantarat, Navara. "Modern design of experiments methods for screening and experimentations with mixture and qualitative variables." Columbus, OH : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1064198056.
Full textTitle from first page of PDF file. Document formatted into pages; contains xiv, 119 p.: ill. (some col.). Includes abstract and vita. Advisor: Theodore T. Allen, Dept. of Industrial and Systems Engineering. Includes bibliographical references (p. 111-119).
Liu, Mingchun. "Functional characterization of Sl-ERF.B3, a member of the large multi-gene family of Ethylene Response Factor in tomato (Solanum lycopersicum)." Thesis, Toulouse, INPT, 2013. http://www.theses.fr/2013INPT0089/document.
Full textEthylene Response Factors (ERFs) are known to be the last transcription factors of the ethylene transduction pathway. Their specific role in ethylene-dependent developmental processes remains poorly understood. This work demonstrated a specific role of Sl- ERF.B3, a member of the ERF gene family in tomato (Solanum lycopersicum), in mediating ethylene response and fruit ripening through a dominant repressor strategy. ERF.B3-SRDX dominant repressor etiolated seedlings displayed partial constitutive ethylene-response in the absence of ethylene and adult plants exhibited typical ethylenerelated alterations such as leaf epinasty, premature flower senescence and accelerated fruit abscission. The multiple symptoms related to enhanced ethylene sensitivity correlate with the altered expression of ethylene biosynthesis and signaling genes, suggesting the involvement of Sl-ERF.B3 in a feedback mechanism regulating components of ethylene production and response. In addition, over-expression of ERF.B3-SRDX in tomato results in alterations in both fruit morphology and ripening process. The attainment of competence to ripen is dramatically delayed in ERF.B3-SRDX fruits but once ripening proceeds it is associated with high climacteric ethylene production and enhanced fruit softening while pigment accumulation is strongly reduced. Moreover, a number of genes involved in the fruit ripening process showed expression pattern deviating from that of wild type. These data suggest a putative role of Sl-ERF.B3 in the transcriptional network underlying the ripening process and uncover a mean for uncoupling some of the main features of fruit ripening such as fruit softening and pigment accumulation. Overall, the study highlighted the importance of an ERF gene in ethylene-mediated developmental processes such as plant growth and fruit ripening
Amouzgar, Kaveh. "Metamodel based multi-objective optimization." Licentiate thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28432.
Full textRaut, Vivek P. "METHODS TO QUANTITATIVELY ASSESS THE PERFORMANCE OF CONNECTIVE TISSUE PROGENITOR CELLS IN RESPONSE TO SURFACE MODIFIED BIOMATERIALS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1372334668.
Full textHammadi, Moncef. "Contribution à l'intégration de la modélisation et la simulation multi-physique pour conception des systèmes mécatroniques." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00711469.
Full textMarshall, Leslie Marie. "Multilevel Analysis of a Scale Measuring Educators’ Perceptions of Multi-Tiered Systems of Supports Practices." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6313.
Full textEscobar, Roberto Luiz. "Otimização de parametros de projeto de sistemas mecanicos atraves de algoritmo genetico multi-objetivos." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264038.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica
Made available in DSpace on 2018-08-08T21:19:55Z (GMT). No. of bitstreams: 1 Escobar_RobertoLuiz_M.pdf: 2961640 bytes, checksum: 516985920427d6083c04c1c5a22d6470 (MD5) Previous issue date: 2007
Resumo: Os sistemas mecânicos são projetados para desempenhar funções específicas, e por essa razão as suas funções devem ser medidas para garantir seu desempenho dentro de uma certa precisão ou tolerância. A grande complexidade em se projetar e analisar novos projetos é a inserção de novas tecnologias, que envolvem aspectos multidisciplinares. Assim, o desenvolvimento e melhoria de projetos e produtos colocam o engenheiro projetista frente às diversas fontes de variabilidade, como por exemplo, as propriedades dos materiais, condições operacionais e ambientais e incertezas nas suposições feitas sobre seu funcionamento. Em termos de modelagem matemática, as aproximações inerentes e hipóteses feitas durante a concepção do sistema, conduzem normalmente a diferentes respostas obtidas através de simulações e/ou medidas experimentais. Dessa forma, em uma fase anterior à modelagem matemática,durante a concepção do sistema ou produto, as aplicações de ferramentas estatísticas e métodos de otimização podem fornecer estimativas sobre faixas de valores ou valores ótimos para parâmetros significativos de projeto, dentro do espaço experimental estudado. Esse tipo de abordagem estatística teve sua fundamentação teórica durante as décadas de 20 e 30 por Fisher, com a aplicação da teoria estatística sob diversos aspectos, como por exemplo: testes de hipóteses, estimativa de parâmetros, seleção de modelos, planejamento experimental e, mais tarde, no controle e melhoria de processos e produtos. Assim, este trabalho propõe um procedimento de estudo e otimização, integrando a teoria de planejamento experimental, a metodologia da superfície de resposta e otimização multi-objetivos através de algoritmos genéticos, para se obter a otimização dos parâmetros de projeto de componentes mecânicos. Em específico, foram utilizados dados de um sistema rotor-mancal e o estudo implica em minimizar as amplitudes no domínio da freqüência. Outro objetivo deste trabalho, foi desenvolver um programa para otimização multi-objetivos através de algoritmos genéticos
Abstract: The mechanical systems are designed to be applied to any specific situations, and in this waytheir features should be measured to guarantee confidence to the systems. Their development and analysis expose the designer to a series of unknown parameters from several sources such as material properties, environmental and operational conditions. In terms of mathematical modeling, the inherent approximation and hypotheses made during system conception lead to different responses obtained by simulations and/or experimental measurements. So, in a previous phase of mathematical modeling, during the design analysis, the application of statistical tools and optimization methods is possible to estimate the values and/or ranges of the critical design parameters inside an experimental space. The connection between optimization and statistical data back at least to the early part of the 20th century and encompasses many aspects of applied and theoretical statistics, including hypothesis testing, parameter estimation, model selection, design of experiments and process and product control. So, this work proposes a link between theory of design of experiments, response surface methodology and multi-objective optimization using genetic algorithms, in order to optimize parameters for mechanical components. This study makes possible to verify the application of multi-objective optimization using genetic algorithms in design parameters and optimize them. A rotor-bearing system was used and amplitude in frequency domain was minimized. An experimental software for multi-objective optimization using genetic algorithm was developed.
Mestrado
Mecanica dos Sólidos e Projeto Mecanico
Mestre em Engenharia Mecânica
Kolios, Athanasios. "A multi-configuration approach to reliability based structural integrity assessment for ultimate strength." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/5717.
Full textKolios, Athanasios Ioannis. "A multi-configuration approach to reliability based structural integrity assessment for ultimate strength." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/5717.
Full textDinegdae, Yared Hailegiorgis. "Reliability-based Design Procedure for Flexible Pavements." Licentiate thesis, KTH, Byggvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-165280.
Full textQC 20150427
Prabhu, Nikhil. "Material parameter identification of a thermoplastic using full-field calibration." Thesis, Linköpings universitet, Mekanik och hållfasthetslära, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170078.
Full textChibane, Hicham. "Contribution à l'optimisation multi-objectif des paramètres de coupe en usinage et apport de l 'analyse vibratoire : application aux matériaux métalliques et composites." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4053/document.
Full textManufacturing processes of mechanical parts by removal of material (turning, milling, drilling ...) have extensive use in aeronautic and automobile industry. The components obtained using these methods must satisfy geometric properties, metallurgical and quality characteristics. To meet these requirements, several experimental tests based on the selection of cutting conditions are often necessary before manufacturing. Currently, these empirical methods based on the experience of manufacturers and users of cutting tools (charts, diagrams with experimental findings, ...) are often very lengthy and costly. However, the high cost of a trial limits the number of experiments, so to have a deserted component with an acceptable cost is a difficult task. The importance of cutting conditions monitored by limitations is related to the type of material to be machined, since it determines the behavior of the machining
Xu, Yijun. "Uncertainty Quantification, State and Parameter Estimation in Power Systems Using Polynomial Chaos Based Methods." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/97876.
Full textPHD
Jahirul, Md Islam. "Experimental and statistical investigation of Australian native plants for second-generation biodiesel production." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/83778/9/Jahirul_Islam_Thesis.pdf.
Full textHavlásek, Radim. "Statistické plánování experimentů pro účely optimalizace kvality." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217910.
Full textChou, Yun-Hsin. "Servicescape symbolism." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/57199/1/Yun-Hsin_Chou_Thesis.pdf.
Full textAlastal, Khalil. "Ecoulements oscillatoires et effets capillaires en milieux poreux partiellement saturés et non saturés : applications en hydrodynamique côtière." Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0039/document.
Full textIn this thesis, we study hydrodynamic oscillations in porous bodies (unsaturated or partially saturated), due to tidal oscillations of water levels in adjacent open water bodies. The focus is on beach hydrodynamics, but potential applications concern, more generally, time varying and oscillating water levels in coupled systems involving subsurface / open water interactions (natural and artificial beaches, harbor dykes, earth dams, river banks, estuaries). The tidal forcing of groundwater is represented and modeled (both experimentally and numerically) by quasi-static oscillations of water levels in an open water reservoir connected to the porous medium. Specifically, we focus on vertical water movements forced by an oscillating pressure imposed at the bottom of a soil column. Experimentally, a rotating tide machine is used to achieve this forcing. Overall, we use three types of methods (experimental, numerical, analytical) to study the vertical motion of the groundwater table and the unsaturated flow above it, taking into account the vertical head drop in the saturated zone as well as capillary pressure gradients in the unsaturated zone. Laboratory experiments are conducted on vertical sand columns, with a tide machine to force water table oscillations, and with porous cup tensiometers to measure both positive pressures and suctions along the column (among other measurement methods). Numerical simulations of oscillatory water flow are implemented with the BIGFLOW 3D code (implicit finite volumes, with conjugate gradients for the matrix solver and modified Picard iterations for the nonlinear problem). In addition, an automatic calibration based on a genetic optimization algorithm is implemented for a given tidal frequency, to obtain the hydrodynamic parameters of the experimental soil. Calibrated simulations are then compared to experimental results for other non calibrated frequencies. Finally, a family of quasi-analytical multi-front solutions is developed for the tidal oscillation problem, as an extension of the Green-Ampt piston flow approximation, leading to nonlinear, non-autonomous systems of Ordinary Differential Equations with initial conditions (dynamical systems). The multi-front solutions are tested by comparing them with a refined finite volume solution of the Richards equation. Multi-front solutions are at least 100 times faster, and the match is quite good even for a loamy soil with strong capillary effects (the number of fronts required is small, no more than N≈ to 20 at most). A large set of multi-front simulations is then produced in order to analyze water table and flux fluctuations for a broad range of forcing frequencies. The results, analyzed in terms of means and amplitudes of hydrodynamic variables, indicate the existence, for each soil, of a characteristic frequency separating low frequency / high frequency flow regimes in the porous system
Zaghlool, Baher SalahElDeen Othman Ahmed. "Behaviour of three-dimensional concrete structures under concurrent orthogonal seismic excitations." Thesis, University of Canterbury. Civil Engineering, 2007. http://hdl.handle.net/10092/1177.
Full textAssaad, Bassel. "Contribution à la prise en compte des aspects thermiques des machines électriques dans un environnement mécatronique." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2251/document.
Full textElectric machines play an important role in power conversion in several applications and fields. With the increasing demand for designing lighter and more efficient machines and optimizing the existing structures, thermal analysis becomes a necessary; in fact, the performance of electric machines islimited by the allowable temperatures in many critical components like windings, permanent magnetsand bearings. Two main approaches can be employed in order to study the machine thermal behavior : the lumped parameter thermal network (LPTN) or numerical models. Considering low-computationtime-consuming and the possibility to be integrated in a mechatronics system design, the LPTN method is considered in our study. The latter is mainly applied on electric machine integrated in a complex mechatronics environment. The thermal network is presented along with the definition of the principal elements constituting this network. In fact, an accurate and reliable network strongly depends on many critical parameters like heat transfer coefficients, interface gaps, impregnation goodness, among others. For this reason, different sensitivity analysis techniques are carried out in order to, first, identify the significance of uncertainties in the evaluation of these parameters on machine temperatures and second, to reduce the thermal network. Next, we propose two optimization algorithm-based identification methodologies in order to calibrate results of the thermal network with measured temperatures obtained from a test-bench of a permanent magnet based integrated starter-generator machine. The calibrated model is then integrated in a mechatronics system consisting of an electric model of the electric machine, along with its control strategy and the power converter. This final study allows us to evaluate the impact of the machine temperature rise on the mechatronic system
Ke, Ssu-ju, and 柯思如. "Optimization of Multi-Response Using DOE and Dual Response Surface Method." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/86066032882896047480.
Full text國立交通大學
工業工程與管理學系
98
Design of experiments(DOE)and Taguchi methods are often applied in industry to develop new product or improve the process. Due to the product design becomes increasingly complicated, more than one quality characteristic must be simultaneously optimized to improve the product quality. However, DOE and Taguchi method can only deal with optimizing single-response problem. Consequently, developing a procedure to simultaneously optimize multiple quality characteristics becomes an important issue in. Most of the literatures of optimizing multi-response problems are for Taguchi’s experiments. Furthermore, some studies indicate that optimization of DOE is more effective than Taguchi’s method. The purpose of this study is to devolop a method of finding the optimal parameter-setting of a process or product with multi-response using DOE, Grey Relation Analysis(GRA) and Dual Response Surface Methodology(DRSM). Finally, two real cases from a semiconductor factory in Taiwan are utilized to verify the effectiveness of the proposed procedure.
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.
Full text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.
Gaun-Ru, Wang, and 王冠儒. "The Application of a Dual Response Surface Approach on Multi- Response Optimizing Problems." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/06716027263195581236.
Full text國立臺灣科技大學
工業管理系
88
In the 1980’s, Dr. Taguchi proposed his approach to using statistically design experiments on off-line quality control. Now, Taguchi method has been widely implemented in industry quality control. But, most applications of Taguchi method have been concerned with the optimization of a single-response process. However, due to the increasing complexity of the design of a product, most quality of a product depends on more than one quality characteristic. Hence, this study proposes a procedure to optimize multi-response simultaneously. This study applies dual response surface system to depart from the mean and the standard deviation of a quality characteristic, instead of using SN-ratio, and then combining the desirability function to solve multi-response problems simultaneously. At last, the effectiveness and the usefulness of the proposed procedure is demonstrated by a experiment of chemistry engineering.
Li, Bai-Chuan, and 李百川. "Optimizing Multi-Response Problems in Mixture Experiments By Using Dual Response Surface Analysis." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/66498727117484142029.
Full text國立交通大學
工業工程與管理系所
93
Design of experiments is often applied in industry to develop new product. However, in some chemical or material experiments, responses are usually affected by factor’s (or component’s) proportion rather than the factor’s quantity. Such experiments are called mixture experiments. Because the proportions of components have to be added to 100%, the dimension of solutions for the optimal factor-quantity combination using the response surface method (RSM) is less than that of the conventional designed experiments. In addition, due to the product design becomes increasingly complicated, more than one quality characteristic must be simultaneously optimized to improve the product quality. Although several procedures for optimizing multi-response process have been developed in recent years, they are appropriate only for the conventional experiments. Only few cases were studied for mixture designs with single response. When more than one response is to be optimized in mixture design, engineers usually determine the optimal component’s proportions from their experiences. However, it is very difficult to decide the optimum component’s proportions. Therefore, this study proposes an optimizing procedure to resolve multi-response problem for mixture designs. This study uses the Grey Multiple Attribute Decision Making (GMADM) or Principle Component Analysis (PCA) to integrate multiple responses into one component’s proportions index, and then develops a procedure for optimizing the composite quality index. Besides, product’s competitiveness is also determined by its manufacturing cost. This study further develops a procedure for obtaining the optimal proportion combination with the manufacture cost. A real case of rubber bowl experiment from a Taiwan’s company is utilized illustrate the effectiveness of the proposed procedure.
Huang, Guo Zhan, and 黃國展. "Bayesian estimation of stationary point of a two factor response surface." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/45285925000590187442.
Full textChen, Chih-Chien, and 陳志堅. "Quality Improvement of Multi-response Processes Using VIKOR and Factor Analysis." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/40315988533114428986.
Full text國立交通大學
工業工程與管理系所
94
Multiple quality characteristics should be simultaneously considered to enhance the product quality and reduce the cost as the modern products or process designs become complex increasingly. Therefore, engineers optimize the multi-response processes using Design of Experiment (DOE) or Taguchi method in the design stage and monitor the processes using multivariate control charts to assure the multivariate processes are in control. Although several procedures for optimizing multi-response processes have been developed in recent years, the associated quality measurement indices do not consider variations in the relative quality losses of multiple responses. These procedures may therefore result in an optimization in which quality losses associated with a few responses are very small but those associated with others are very large, even if the overall average quality loss is small. As for the multivariate control technique, Hotelling T2 control chart is a popular multivariate control chart in industry. However, the calculation loading of T2 index is large when monitoring variables are larger. Besides, T2 index cannot be calculated if variables number is larger than cases number. It is also hard to detect the out of control situation of process in utilizing the Hotelling T2 control chart when the relationships among process parameters are complex. In this study, we will apply the VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multicriteria Optimization and Compromise Solution (VIKOR) method and factor analysis to solve the above problem. Finally three real cases and one simulation case study are utilized to verify the effectiveness of the proposed procedure.
Chen, Jiao-Yan, and 陳姣燕. "Optimizing Multi-response Problems in a Dynamic System by Using Dual Response Surface Analysis." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/70670506458374956848.
Full text國立交通大學
工業工程與管理研究所
86
Tanguchi method has been widely implemented in industry for product/puocess improvement. Most of the Taguchi''s applications are focused on the optimization of a single-response in a state system. Optimization of a dynamic system has received more attentions in recent years. Due to the increasing complexity of the product design, more than one quality characteristic must be considered simultaneously to improve the product''s quality. Hence, optimizing multiple responses simultaneously in a dynamic system becomes an importantissue. This study proposes a procedure which utilizing the desirability function and dual response surface analysis to optimize the multi-response problems in a dynamic system. First ,the desirability function is applied to measure the overall measurements of sensitivity and quality variation. Next, the dual response surface analysis is used to obtain a set of possible optimm factor level combiantions. The optimun factor level setting is obtained according to the maximum overall desirability value. Finally, the propsed procedure is illustrated by a biological reduction of ethly acetoacetate process experiment. A comparison between the propsed method, the conventional and other ways of analyzing multi-response problems in a dynamic system are made to verified the effectiveness of the proposed method.
Lo, Ming-Huang, and 羅明煌. "Bayes estimate of the single factor quadratic response surface under the noninfmative prior." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/47001337830263587154.
Full textLin, Wan-Ting, and 林婉婷. "Application of Response Surface Method for Robot Arm’s Multi-Process Capability Analysis." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/67312158631862151478.
Full text國立勤益科技大學
工業工程與管理系
101
Nowadays the talent costs of various industries are rising. Robotic arm is future trend to replace manpower and is one of the options to reduce costs. While industrial use of robotic arm in addition to reduce the production costs, to increase production efficiency, to enhance the quality of external energy to make the operators away from the potentially hazardous work environments, the working environment hazards includes radiation, toxic gases, noise ... etc. Robotic arm is widely used of various industries. In recent years, the robotic arm development is becoming increasingly sophisticated, and it can perform high-complexity and high-precision of the actions, and make the quality improved for the manufactured products. In the manufacturing process, product processing accuracy is essential factor to be considered, especially in the semiconductor industry precision manufacturing that is most important. While the multi-axis robotic arm is working in the long terms, a cumulative or repetitive error values exist that can affect the accuracy of the robotic arms. Some minor errors caused by processing failure and cause the products poor quality. It becomes a widely discussed issue and sustained attention how to improve the accuracy. Currently many ways to improve are the accuracy of the controllers, and the use of the controllers to improve the accuracy will cause the system cost increasing. This study applied engineering robotic arm offset experiments conducted by the obtained experimental data. And using Response Surface Method (RSM) of Box-Behnken Design improved, Cpk values are increased to 1.33, and then show painted on Multi-Process Capability Analysis chart (MPCA). After improvement were offset placement in the process control area within the boundaries of 0.25 and the neural network indicate the state of convergence. Through MPCA chart and convergence plans are to validate the process of robotic arm accuracy, as determined in accordance with standards of process capability and assessment whether mechanical arm with good processing quality capabilities . In this study, analysis methods can provide relevant industries the references as a practical process control evaluation and processing quality improvement.
Lin, Chin-Tang, and 林錦堂. "Dynamic Response of Moving Vehicle and Multi-Span Continuous Bridge with An Irregular Surface." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/75938298904601214190.
Full text國立臺灣科技大學
機械工程系
92
Abstract This aim of this thesis is to study the dynamic response of the vehicle and the multi-span bridge with irregular surfaces. The vehicle body is modeled as an elastic flexible beam and the bridge is modeled as multi-span continuous elastic flexible beam. The bridge is considered to be a finite length, uniform cross-section beam with an uneven profile, which can be simulated as a random process. Three types of road profiles, such as white noise process, Markov process and the ergodic stationary Gaussian zero mean process, will be discussed in the study. The modal superposition method is used to formulate the equation of motion for the coupled vehicle-bridge system. Accordingly, this equation can be rewritten as a state equation. Finally, the mean value and variance of displacement of the structural system is solved by using the proposed recursive algorithm. The numerical results are compared with those using the Monte Carlo simulation approximation. Examples are presented to study the dynamic deflections with the suspension damping, bridge length and the vehicle velocity respectively, as a parameter.
Wu, Chung-Yi, and 吳重毅. "Multi-Objective Optimization Design Using Response Surface Methodology in Permanent Magnet Linear Synchronous Motor." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/77783066758465716026.
Full text國立勤益科技大學
電機工程系
103
This paper aims to multi-objective optimized design of three-phase Permanent Magnet Linear Synchronous Motor (PMLSM). The purpose of this dissertation is to provide use of Response Surface Methodology (RSM) in decreasing its cogging force, and retain its back-electromotive force (back-EMF) and force so as to achieve the multi-objective optimized result. PMLSM have two factors that affect the motor performance. Harmonic components that caused commutation ripple-force by the impressed voltage and current, between the slot and the stator magnet are generating cogging-force, respectively. These two factors are the main cause of the ripple-force. The driver is limited by commutation rippler-force of the performance. The cogging force can use new magnet types to improve. This paper uses the Maxwell 2D Finite Element Method electromagnetic field simulation analysis software developed by Ansoft (U.S.). Through the comparison between simulation results and prototypes, and evaluate the performance of PMLSM. Focuses on the optimization design of permanent magnet, in the design of permanent magnet, the variable thickness of permanent magnet (Δhm), maximum thickness of permanent magnet (Δm), harmonic amplitude and magnet width were considered for optimal design of magnet. These parameters affect on the motor can not be learn directly from the formula, so must match the response surface method of regression model optimization mode, find the most suitable combination. In the end, analyze and comparison. And then, use anylsis methods to compare, and prove effective is better.
Lee, Chang Cha, and 李長洽. "A Study of the Bayesian Estimation of the Stationary Point of Single Factor Quadratic Response Surface." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/91597397214303533460.
Full text中原大學
工業工程研究所
81
The stationary point of a response surface function bears the location and magnitude coordinates of the maximum or minimum response value. In the context of industrial applications, the precise determination of the location parameter implies achievment of an optimal process settings rendering an optimal yield and minimal cost. In this research, we systematically consider nine different combinations of priors. It covers the range from completely non- informative, to partially informative and comprehensively informative, we develop the posterior distributions for the parameters of interest. We evaluate the marginal posterior distribution of concerned parameters through characteristic model. We use a set of observations and explore their point estimates and related statistics, namely posterior mean, mode, variance, and HPD. Both numerical and Gibbs sampling methods are used. We also carry out a robust analysis over different combinations of priors and also different hyperparameters setup. It's found that the priors which have thick tails or greater variance is more robust than the others. Besides, we compare the computing time between traditional numerical method and Gibbs sampling method. In acceptable precision, the computing time of numerical method is ten times of Gibbs sampling. It is therefore justified that the Gibbs sampling can be used as a good alternative of numerical method.
Sakib, Nazmus. "Response of asphalt matrix under multi-axial stress state." Thesis, 2014. http://hdl.handle.net/2152/25860.
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Huang, Chun-shin, and 黃雋心. "Application of Grey Relational Analysis,Taguchi's Method and Response Surface Methodology in Multi-objective Quality Characterization Optimization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/9rjw48.
Full text國立高雄大學
亞太工商管理學系碩士班
97
Taguchi Method’s Robust Design has been applied in a various range of industrial applications. However, the major part only aims at the question of single performance characteristics optimization. More than one quality characteristics must be simultaneously considered to effectively improve the product quality due to the increasing complexity of product design. Optimizing each quality characteristic separately may not result the optimality for the entire production. More often, considering one quality characteristic may conflict with the other. The more the number of the performance characteristics, the stronger the correlation of them. It also brings the engineer the difficulties of resolving the performance characteristics conflict. This article undertakes the Optimization of multiple quality characteristics using the combination of Taguchi Method and Grey Relational Analysis. If the factorial level belongs to the continuous factor, this work will find the best setup according to the Response Surface Methodology to confirm the valuable combination. In order to show the effectiveness and practicality of the proposed algorithm, this article uses the two cases – Substrate Laser Displacement Measurement and Optimal Coating of Photoresists of LCD process respectively. The results show that this method can find the best production process parameter level combination of the two processes. Demonstrating the effectiveness of the research, helps the company to improve the quality of product effectively.
Chen, Chien-Chih, and 陳建志. "Combine Neural Network and Response Surface Method in Control of a Multi-Axle-Steering Tractor and Trailer." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/82196957181897939674.
Full text國立屏東科技大學
機械工程系所
96
The purpose of this content was studying The controller of a multi-axle-steering tractor and trailer that analyzed effects of a vehicle’s roadability which aimed the vehicle’s changes at loading, high and low speedy turning and other parameters. The tractor-full trailer adopted was formed by a tractor and a trailer what both had the front axles that were able to make turning different form the way of traditional tractor-full trailer. According to the consequence of investigating a four-wheel-turning compact, deriving firstly the multi-axle-steering model, and then proceeding the derivation of the optimal control method which used the trained artificial neural network to make the parameter of the controller adjust within the range of the robust stability for assuring the robust stability of a vehicle’s controller and combining the response surface methodology to request the best solution of the controller when the control factors or parameters stated above changed. At last, applying MATLAB software to proceed simulation analysis. The initial studying result showed that the automatic adjusted robust controller could shorten in short time the error caused by variables, and it adjusted to qualify the request from the system. Comparing this controller with the system of simplified control of the optimal control method, the error of the system became 8.7375 from 9.7589, it improved 10.5%.
Shih, Chieh-Fang, and 石傑方. "Research on Parameter Optimization of a Real- time Target Recognition System for a Multi-layer Mediums Penetration-Using the Response Surface Method." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/jhh6xf.
Full text國立臺灣科技大學
高分子系
94
In order to find the best combination of the recognition rate and recognition time, we apply the central composite design of the Response Surface Method(RSM)of experimental design to analyze two factors, “window size” and “recognition period”, and use the Minimum distance classifier which applied in the digital signal processor (DSP) of a penetrator to recognize the features of a penetrating accelerometer.
Chu, Chung-Wei, and 朱仲威. "Response surface analysis and simulation method in solving a multi-objective push/pull boundary strategy—A case study on TFT-LCD backend process." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/68650882916046595746.
Full text國立成功大學
製造工程研究所碩博士班
95
The demand for flat-screen monitor panels increases each day. With the help of the Taiwanese Government’s heavy input and guidance, the Taiwanese flat panel industry flourishes. However, the TFT industry faces the problems of mass production and high material cost, as well as high demand variability, thus a different production model is required as opposed to the traditional way of low-variety high-volume production. The traditional production process involves either the push system or the pull system. Although the push system has the advantage of high service level, it has the disadvantage of pressure from possible high inventory cost. On the contrary, the pull system could minimise the risk of inventory, but it has the aspect of prolonged lead time which could compromise the level of service. This study investigated the push/pull system which combined the advantages of both the push system and the pull system, a solution to the conflict between service level and inventory cost. With the approach of combining the system Simulation and response surface analysis, this study aimed to investigate, under situations of stochastic process and multiple production lines, a suitable control factor and its related push/pull boundary positions. By doing so, a suitable framework for the push/pull system could be established, thus the goal to lower overall inventory cost and improvement of service could be accomplished. A case study of a TFT-LCD factory is included to test the theories investigated in this study.
Amaral, Joana Bastos. "Multi element removal and recovery using living macroalgae: data treatment influence on results interpretation." Master's thesis, 2020. http://hdl.handle.net/10773/29212.
Full textA contaminação de águas não é um problema novo na sociedade atual, sendo a presença de elementos potencialmente tóxicos em meios aquáticos uma realidade conhecida em todo o mundo. No entanto, o desenvolvimento tecnológico e o uso generalizado de equipamentos elétricos e eletrónicos, que têm vindo a aumentar a cada ano, contribuíram para o surgimento de novas fontes de contaminação, como o lixo eletrônico, e de novos contaminantes, como os elementos terras raras. A descarga destes elementos, economicamente valiosos e críticos para a tecnologia, nos ecossistemas aquáticos é cada vez mais frequente, exigindo-se ações que diminuam ou eliminem os riscos para os ecossistemas e para o ser humano. Este estudo avalia a potencial utilização de macroalgas vivas na remoção de elementos terras raras (La, Dy, Eu, Nd e Gd) e de elementos potencialmente tóxicos (Hg e Pb) em misturas com concentrações ambientalmente relevantes. É também avaliada a influência que abordagens distintas podem ter na interpretação dos resultados, as quais são assentes em fundamentos estatísticos, e em aspetos físicos, químicos e biológicos, inerentes a estudos multidisciplinares como o presente. As macroalgas já são conhecidas por serem eficientes na remoção de elementos potencialmente tóxicos da água; no entanto, poderão as macroalgas vivas ser o novo futuro para resolver simultaneamente a crise da água e a crise da escassez de elementos terras raras como matéria-prima? Com este estudo foi possível determinar, usando uma análise de cluster e uma análise discriminante linear, que os elementos terras raras tinham comportamentos de remoção semelhantes, porém diferentes dos outros dois elementos potencialmente tóxicos em estudo, Pb e Hg. Sendo o último o elemento melhor removido, tendo possíveis percentagens de remoção previstas de 97% com apenas 24 horas de exposição. No entanto, por meio de uma metodologia de resposta de superfície, foi possível determinar as condições ideais na remoção destes elementos de águas contaminadas usando macroalgas vivas (Ulva lactuca). Assim, após 72 horas, seria possível obter remoções previstas acima de 70% para todos os elementos em estudo a uma salinidade de 21 ± 9, uma concentração inicial dos contaminantes de 1,6 ± 0,9 μmol/L e uma dosagem de macroalgas de 3,6 ± 2,0 g/L.
Mestrado em Química
Muthu, Krishnan M. "Study Of Multiple Asperity Sliding Contacts." Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2538.
Full textMuthu, Krishnan M. "Study Of Multiple Asperity Sliding Contacts." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2538.
Full textAbello, Manuel Blanco. "Application of memory-based approach to multi-objective optimisation on dynamic resource-constrained project scheduling with time-varying number of tasks." Thesis, 2014. http://hdl.handle.net/2440/84729.
Full textThesis (Ph.D.) -- University of Adelaide, School of Computer Science, 2014
Nessim, Carolyn. "Development of a multi-gene PCR assay for the prediction of the response to hormone therapy in breast cancer." Thèse, 2013. http://hdl.handle.net/1866/10573.
Full textTwo thirds of breast cancers express the estrogen receptor (ER-positive tumours) and estrogens stimulate growth of these tumours. Adjuvant therapy with anti-estrogens such as Tamoxifen and Aromatase Inhibitors has been shown to increase survival in breast cancer patients. This treatment is, however, not successful in all ER-positive tumours. Tumours can present intrinsic or acquired resistance to Tamoxifen. However, it is currently impossible to predict which patient will benefit from Tamoxifen therapy and which will not. Preliminary studies in Dr. Mader’s lab have identified 20 genes whose expression levels in tumours are able to predict the response to Tamoxifen therapy (disease-free survival). These markers, identified using bioinformatics analysis of published gene expression datasets, were able to discriminate patients that would respond best to Tamoxifen from those that did not. The overall purpose of this study is to develop a PCR kit to monitor expression levels of these 20 genes and to test this 20-gene signature in a retrospective study using paraffin-embedded breast cancer tissues of patients with a known medical history. This tool may thus have a direct impact on clinical practice through the development of markers of therapeutic success for treatment with Tamoxifen and possibly Aromatase Inhibitors. Futile treatments would be avoided thus preventing needless side effects, and improved identification of ER+ tumours with a low chance of success to anti-estrogen therapy. This will facilitate research into more appropriate treatments for hormone resistant tumours.