Relevant bibliographies by topics / RSM modelling

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  2. Dissertations / Theses
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  4. Book chapters
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Academic literature on the topic 'RSM modelling'

Author: Grafiati
Published: 25 January 2025

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Journal articles on the topic "RSM modelling"

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Nwosu-Obieogu, Kenechi, Maureen A. Allen, Chukwunonso Nwogu, Bertrand Nwankwojike, Simeon Bright, and Christian Goodnews. "Modelling and optimization of luffa oil transesterification via acid activated waste marble catalyst." Journal of the Ghana Institution of Engineering (JGhIE) 24, no. 1 (March 30, 2024): 58–71. http://dx.doi.org/10.56049/jghie.v24i1.140.

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This study assessed the performance of response surface methodology (RSM) and artificial neural network (ANN) in modelling the transesterification of luffa oil using acid activated waste marble catalyst. The waste marble was activated with 0.5 molar sulphuric acid at 600 oC for 4 hours and was characterized by SEM, FT-IR, XRD, XRF, and BET; the characterization proved that the catalyst was successfully activated. The experiments were conducted at a catalyst dosage (1-5 wt. %), temperature (40-80 oC), methanol-oil ratio (4:1-12:1), time (1-3 hours), and agitation speed of (100- 500 rpm) with output as biodiesel yield. ANN was assessed using three back-propagation (BP) procedures, each comprising five neurons (input layer), one (output layer) and ten (hidden layer). The Levenberg Marquardt technique offered the most accurate prediction for luffa oil transesterification. The models were developed based on experimental and algorithm simulations and designs. The models' performance was assessed using the R2 and MSE. Regarding R2 and MSE, the ANN model (R2=9.9921E-1, MSE=0.06311) has a superior predictive capacity in forecasting the process than the RSM (R2=0.9885, MSE=0.86). At a catalyst concentration (3wt %), time (2 hours), temperature (60 oC), agitation speed (100 rpm) and methanol-oil ratio (12:1), the experimental (92.57 %), RSM predicted (94.0487 %) and ANN predicted (91.1768 %) biodiesel yield showed an agreement between the experimental and predicted values. The findings via physicochemical analysis, FT-IR, and GC-MS confirm that the biodiesel was within ASTM specifications.
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Irfan, Muhammad, Sharjeel Waqas, Ushtar Arshad, Javed Akbar Khan, Stanislaw Legutko, Izabela Kruszelnicka, Dobrochna Ginter-Kramarczyk, Saifur Rahman, and Anna Skrzypczak. "Response Surface Methodology and Artificial Neural Network Modelling of Membrane Rotating Biological Contactors for Wastewater Treatment." Materials 15, no. 5 (March 4, 2022): 1932. http://dx.doi.org/10.3390/ma15051932.

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Membrane fouling is a major hindrance to widespread wastewater treatment applications. This study optimizes operating parameters in membrane rotating biological contactors (MRBC) for maximized membrane fouling through Response Surface Methodology (RSM) and an Artificial Neural Network (ANN). MRBC is an integrated system, embracing membrane filtration and conventional rotating biological contactor in one individual bioreactor. The filtration performance was optimized by exploiting the three parameters of disk rotational speed, membrane-to-disk gap, and organic loading rate. The results showed that both the RSM and ANN models were in good agreement with the experimental data and the modelled equation. The overall R2 value was 0.9982 for the proposed network using ANN, higher than the RSM value (0.9762). The RSM model demonstrated the optimum operating parameter values of a 44 rpm disk rotational speed, a 1.07 membrane-to-disk gap, and a 10.2 g COD/m2 d organic loading rate. The optimization of process parameters can eliminate unnecessary steps and automate steps in the process to save time, reduce errors and avoid duplicate work. This work demonstrates the effective use of statistical modeling to enhance MRBC system performance to obtain a sustainable and energy-efficient treatment process to prevent human health and the environment.
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Nair, Abhilash T., Abhipsa R. Makwana, and M. Mansoor Ahammed. "The use of response surface methodology for modelling and analysis of water and wastewater treatment processes: a review." Water Science and Technology 69, no. 3 (November 20, 2013): 464–78. http://dx.doi.org/10.2166/wst.2013.733.

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In recent years, response surface methodology (RSM) has been used for modelling and optimising a variety of water and wastewater treatment processes. RSM is a collection of mathematical and statistical techniques for building models, evaluating the effects of several variables, and obtaining the values of process variables that produce desirable values of the response. This paper reviews the recent information on the use of RSM in different water and wastewater treatment processes. The theoretical principles and steps for its application are first described. The recent investigations on its application in coagulation–flocculation, adsorption, advanced oxidation processes, electro-chemical processes and disinfection are reviewed. The limitations of the methodology are highlighted. Attempts made to improve the RSM by combining it with other modelling techniques are also described.
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Daramola, M. O., K. J. Keesman, and F. Spenkelink. "Process Modelling of Ultrafiltration Units: An RSM Approach." Journal of Applied Sciences 7, no. 23 (November 15, 2007): 3687–95. http://dx.doi.org/10.3923/jas.2007.3687.3695.

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Narasimman, Pasupathi, K. Ravi, and Sandra Pinelas. "Modelling the Additive Functional Equations through RSM Matrices." JOURNAL OF ADVANCES IN MATHEMATICS 12, no. 10 (November 30, 2016): 6714–19. http://dx.doi.org/10.24297/jam.v12i10.117.

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This paper suggests one possible method to model additive type of functional equations using eigenvalues and eigenvectors of matrices with suitable numerical examples. The authors have defined a new type of Row Sum Matrix(RSM) and have discussed its eigenvalues and eigenvectors in order to model functional equations. The famous additive cauchy functional equation and Logical functional equation have also been modelled using identity matrix and Logical matrix in this study.
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Eser, Aykut, Elmas Aşkar Ayyıldız, Mustafa Ayyıldız, and Fuat Kara. "Artificial Intelligence-Based Surface Roughness Estimation Modelling for Milling of AA6061 Alloy." Advances in Materials Science and Engineering 2021 (February 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/5576600.

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This study introduces the improvement of mathematical and predictive models of surface roughness parameter (Ra) in milling AA6061 alloy using carbide cutting tools coated with CVD-TiCN in dry condition. An experimental model has been improved for estimating the surface roughness using artificial neural networks (ANN) and response surface methodology (RSM). For these models, cutting speed, depth of cut, and feed rate were evaluated as input parameters for experimental design. For the ANN modelling, the standard backpropagation algorithm was established to be the optimum selection for training the model. In the forming of the network construction, five different learning algorithms were used: the conjugate gradient backpropagation, Levenberg–Marquardt, scaled conjugate gradient, quasi-Newton backpropagation, and resilient backpropagation. The best consequent with single hidden layers for the surface roughness was obtained by 3-8-1 network structures. The statistical analysis was performed with RSM-based second-order mathematics model. The influences of the cutting parameters on surface roughness were defined by using analysis of variance (ANOVA). The ANOVA results show that the depth of cut is the most effective parameter on surface roughness. Prediction models developed using ANN and RSM were compared in terms of prediction accuracy R2, MEP, and RMSE. The data estimated from ANN and RSM were realized to be very close to the data acquired from experimental studies. The value R2 of RSM model was higher than the values of the ANN model which demonstrated the stability and sturdiness of the RSM method.
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Owolabi, Rasheed, Mohammed Usman, Adefunmilayo Anuoluwapo, and Onyekachi Oguamanam. "Modelling, Optimization and Green Metrics Evaluation of Bio-Catalytic Synthesis of Biodiesel." Tikrit Journal of Engineering Sciences 27, no. 3 (April 8, 2020): 17–30. http://dx.doi.org/10.25130/tjes.27.3.03.

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The response surface methodology (RSM) was adopted in ths study to evaluate the influence, interplay and interaction of various process variables on the biodiesel yield using methanol and castor oil as feedstocks in the presence of bovine bones as bio-catalyst.Twenty experimental runs were designed using central composite design (CCD). RSM statistical model of second order was developed. Analysis of variance (ANOVA) tests were performed on the model to find the relative influence of the process variables. An optimum yield of 95.12% was obtained at 60 0C reaction temperature, 120 minutes reaction time, molar to oil ratio 6:1, catalyst concentration of 10 % w and a stirring rate of 900 rpm. The experimental conditions under which biodiesel was synthesized in this study was compared with those of previous studies .It can therefore be inferred that , the conditions herein is competing with prior established conditions. The biodiesel was found to possess fuel properties that fall within acceptable limits and green metrics estimated showed compliance of the process with the diictates of green and sustainable chemistry.
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Hudák, Peter, and Valéria Hrabovcová. "Mathematical Modelling and Parameter Determination of Reluctance Synchronous Motor with Squirrel Cage." Journal of Electrical Engineering 61, no. 6 (November 1, 2010): 357–64. http://dx.doi.org/10.2478/v10187-010-0055-y.

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Mathematical Modelling and Parameter Determination of Reluctance Synchronous Motor with Squirrel Cage The paper provides an analysis of reluctance synchronous motor (RSM) with asymmetrical rotor cage. Its performances during its starting up is investigated. A mathematical model is created on the basis of detailed investigation of model parameters. The RSM starting up by switching it directly across the line was simulated and verified by measurements.
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Gadallah, Mohamed H. "Process re-modelling using RSM and the splitting approach." International Journal of Mechatronics and Manufacturing Systems 3, no. 1/2 (2010): 58. http://dx.doi.org/10.1504/ijmms.2010.029875.

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Yaro, Aprael S., and Khalid H. Rashid. "Modelling and Optimization of Carbon Steel Corrosion in CO2 Containing Oilfield Produced Water in Presence of HAc." Iraqi Journal of Chemical and Petroleum Engineering 16, no. 2 (June 30, 2015): 1–8. http://dx.doi.org/10.31699/ijcpe.2015.2.1.

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Previously, many empirical models have been used to predict corrosion rates under different CO2 corrosion parameters conditions. Most of these models did not predict the corrosion rate exactly, besides it determined effects of variables by holding some variables constant and changing the values of other variables to obtain the regression model. As a result the experiments will be large and cost too much. In this paper response surface methodology (RSM) was proposed to optimize the experiments and reduce the experimental running. The experiments studied effects of temperature (40 – 60 °C), pH (3-5), acetic acid (HAc) concentration (1000-3000 ppm) and rotation speed (1000-1500 rpm) on CO2 corrosion performance of the regression model calculated by RSM. The experiments were conducted in saturated solution of CO2 with 3.5 % NaCl solution. STATISTICA program version 10 was used for data analysis. In conclusion a quadratic model is proposed to predict the effect of mentioned variables in CO2 environment.
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Dissertations / Theses on the topic "RSM modelling"

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Abd, Rahman M. N. "Modelling of physical vapour deposition (PVD) process on cutting tool using response surface methodology (RSM)." Thesis, Coventry University, 2009. http://curve.coventry.ac.uk/open/items/cca436cf-b72b-c899-ef02-bd522b0d7ec5/1.

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The Physical Vapour Deposition (PVD) magnetron sputtering process is one of the widely used techniques for depositing thin film coatings on substrates for various applications such as integrated circuit fabrication, decorative coatings, and hard coatings for tooling. In the area of coatings on cutting tools, tool life can be improved drastically with the application of hard coatings. Application of coatings on cutting tools for various machining techniques, such as continuous and interrupted cutting, requires different coating characteristics, these being highly dependent on the process parameters under which they were formed. To efficiently optimise and customise the deposited coating characteristics, PVD process modelling using RSM methodology was proposed. The aim of this research is to develop a PVD magnetron sputtering process model which can predict the relationship between the process input parameters and resultant coating characteristics and performance. Response Surface Methodology (RSM) was used, this being one of the most practical and cost effective techniques to develop a process model. Even though RSM has been used for the optimisation of the sputtering process, published RSM modelling work on the application of hard coating process on cutting tool is lacking. This research investigated the deposition of TiAlN coatings onto tungsten carbide cutting tool inserts using PVD magnetron sputtering process. The input parameters evaluated were substrate temperature, substrate bias voltage, and sputtering power; the out put responses being coating hardness, coating roughness, and flank wear (coating performance). In addition to that, coating microstructures were investigated to explain the behaviour of the developed model. Coating microstructural phenomena assessed were; crystallite grain size, XRD peak intensity ratio I111/I200 and atomic number percentage ratio of Al/Ti. Design Expert 7.0.3 software was used for the RSM analysis. Three process models (hardness, roughness, performance) were successfully developed and validated. The modelling validation runs were within the 90% prediction interval of the developed models and their residual errors compared to the predicted values were less than 10%. The models were also qualitatively validated by justifying the behaviour of the output responses (hardness, roughness, and flank wear) and microstructures (Al/Ti ratio, crystallographic peak ratio I111/1200, and grain size) with respect to the variation of the input variables based on the published work by researchers and practitioners in this field. The significant parameters that influenced the coating hardness, roughness, and performance (flank wear) were also identified. Coating hardness was influenced by the substrate bias voltage, sputtering power, and substrate temperature; coating roughness was influenced by sputtering power and substrate bias; and coating performance was influenced by substrate bias. The analysis also discovered that there was a significant interaction between the substrate temperature and the sputtering power which significantly influenced coating hardness, roughness, and performance; this interaction phenomenon has not been reported in previously published literature. The correlation study between coating characteristics, microstructures and the coating performance (flank wear) suggested that the coating performance correlated most significantly to the coating hardness with Pearson coefficient of determination value (R2) of 0.7311. The study also suggested some correlation between coating performance with atomic percentage ratio of Al/Ti and grain size with R2 value of 0.4762 and 0.4109 respectively.
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Mpongwana, Ncumisa. "Metabolic network modelling of nitrification and denitrification under cyanogenic conditions." Thesis, Cape Peninsula University of Technology, 2019. http://hdl.handle.net/20.500.11838/2982.

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Thesis (PhD (Chemical Engineering))--Cape Peninsula University of Technology, 2019
Simultaneous nitrification and aerobic denitrification (SNaD) is a preferred method for single stage total nitrogen (TN) removal, which was recently proposed to improve wastewater treatment plant design. However, SNaD processes are prone to inhibition by toxicant loading with free cyanide (CN-) possessing the highest inhibitory effect on such processes, rendering these processes ineffective. Despite the best efforts of regulators to limit toxicant disposal into municipal wastewater sewage systems (MWSSs), free cyanide (CN-) still enters MWSSs through various pathways; hence, it has been suggested that CN- resistant or tolerant microorganisms be utilized for processes such as SNaD. To mitigate toxicant loading, organisms in SNaD have been observed to adopt a multiphase growth strategy to sequentially degrade CN- during primary growth and subsequently degrade TN during the secondary growth phase. However, CN- degrading microorganisms are not widely used for SNaD in MWSSs due to the inadequate application of suitable microorganisms (Chromobacterium violaceum, Pseudomonas aeruginosa, Thiobacillus denitrificans, Rhodospirillum palustris, Klebsiella pneumoniae, and Alcaligenes faecalis) commonly used in single-stage SNaD. The use of CN- degrading or resistant microorganisms for SNaD is a cost-effective method compared to the use of other methods of CN- removal prior to TN removal, as they involve multi-stage systems (as currently observed in MWSSs). The use of CN- degrading microorganisms, particularly when used as a consortium, presents a promising and sustainable resolution to mitigate inhibitory effects of CN- in SNaD. However, SNaD is known to be completely inhibited by CN- thus it is imperative to also study some thermodynamic parameters of SNaD under high CN- conditions to see the feasibility of the process. The Gibbs free energy is significant to understand the feasibility of SNaD, it is also vital to study Gibbs free energy to determine whether or not the biological reaction is plausible. The relationship between the rate of nitrification and Gibbs free energy was also investigated. The attained results showed that up to 37.55 mg CN-/L did not have an effect on SNaD. The consortia degraded CN- and achieved SNaD, with degradation efficiency of 92.9 and 97.7% while the degradation rate of 0.0234 and 0.139 mg/L/hr for ammonium-nitrogen (NH4-N) and CN- respectively. Moreover, all the free Gibbs energy was describing the individual processes were found to be negative, with the lowest Gibbs free energy being -756.4 and -1830.9 Kcal/mol for nitritation and nitratation in the first 48 h of the biological, reaction respectively. Additionally, a linear relationship between the rate of NH4-N and nitrite-nitrogen (NO2-N) degradation with their respective Gibbs free energy was observed. Linear model was also used to predict the relationship between NH4-N, NO2-N degradation and Gibbs free energy. These results obtained showed a good correlation between the models and the experimental data with correlation efficiency being 0.94 and 0.93 for nitritation, and nitratation, respectively. From the results found it can be deduced that SNaD is plausible under high cyanide conditions when cyanide degrading or tolerant microorganisms are employed. This can be a sustainable solution to SNaD inhibition by CN- compounds during wastewater treatment. Furthermore, a single strain was purified from the consortium and identified as Acinetobacter courvalinii. This bacterial strain was found to be able to perform sequential CN- degradation, and SNaD; an ability associated with multiphase growth strategy of the microorganism when provided with multiple nitrogenous sources, i.e. CN- and TN. The effect of CN- on nitrification and aerobic denitrification including enzyme expression, activity and protein functionality of Acinetobacter courvalinii was investigated. It was found that CN- concentration of up to 5.8 mg CN-/L did not affect the growth of Acinetobacter courvalinii. In cultures whereby the A. courvalinii isolate was used, degradation rates of CN- and NH4-N were found to be 2.2 mg CN-/L/h and 0.40 mg NH4-N/L/h, respectively. Moreover, the effect of CN- on NH4-N, nitrate-nitrogen (NO3-N) and NO2-N oxidizing enzymes was investigated, with findings indicating CN- did not affect the expression and activity of ammonia monooxygenase (AMO), but affected the activity of nitrate reductase (NaR) and nitrite reductase (NiR). Nevertheless, a slow decrease in NO2-N was observed after the addition of CN- thus confirming the activity of NaR and the activation of the denitrification pathway by the CN-. Moreover, five models’ (Monod, Moser, Rate law, Haldane, and Andrew’s model) ability to predict SNaD under CN- conditions, indicated that only Rate law, Haldane and Andrew’s models, were suited to predict both SNaD and CN- degradation. Due to low degradation rates of NH4-N and CN-, optimization of SNaD was essential. Therefore, response surface methodology was used to optimize the SNaD under CN- conditions. The physiological parameters that were considered for optimization were temperature and pH; with the result showing that the optimum for pH and temperature was 6.5 and 36.5oC respectively, with NH4-N and CN- degradation efficiency of 50 and 80.2%, respectively. Furthermore, the degradation kinetics of NH4-N and CN- were also studied under the optimum conditions in batch culture reactors, and the results showed that up to 70.6% and 97.3% of NH4-N and CN- were simultaneously degraded with degradation rates of 0.66 and 0.41 mg/L/h, respectively. The predictive ability of RSM was further compared with cybernetic models, and cybernetic models were found to better predict SNaD under CN- conditions. These results exhibited a promising solution in the management of inhibition effected of CN- towards SNaD at an industrial scale.
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Gao, Chan. "Devenir des substances per et poly-fluoroalkylées (PFAS) dans les estuaires : focus sur les interactions avec les sédiments en suspension." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0409.

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Les substances per et poly-fluoroalkylées (PFAS) constituent un vaste groupe hétérogène de micropolluants émergents. Du fait de leur structure physico-chimique très stable, les PFAS sont persistantes et largement répandues dans l'environnement et posent de nombreux problèmes environnementaux. Ces dernières années, le devenir des PFAS a fait l'objet d'une attention croissante. Dans le cycle des PFAS, l'air, l'eau, le sol et les sédiments sont différents compartiments impliqués. À l'exutoire des grands bassins versants et à l’interface terre-mer, les estuaires sont considérés comme la principale voie d’entrée des PFAS vers le milieu océanique, puits ultime des PFAS. Les conditions estuariennes complexes affectent le comportement des PFAS dans les sédiments et déterminent le sort final des PFAS. Les estuaires jouent par ailleurs un rôle écologique majeur et sont soumis à une forte pression chimique, générant des risques environnementaux. Il est donc important d'étudier le devenir des PFAS dans les estuaires.Les sédiments estuariens constituent un réservoir important pour les PFAS, où la sorption et la désorption se produisent et contrôlent la distribution des PFAS. Les conditions géochimiques jouent un rôle essentiel dans ce processus. D'une part, les flux fluviaux apportent d'énormes quantités de particules en suspension qui absorbent les PFAS et se déposent finalement dans les sédiments estuariens. D'autre part, au cours des cycles de marée, les particules sont remises en suspension, transportées et remises en place, désorbant ou réabsorbant les PFAS. La distribution des PFAS entre les particules et l'eau est la clé de l'étude du devenir des PFAS dans les estuaires. Les conditions contrastées de salinité et de turbidité des estuaires peuvent influencer la distribution des PFAS entre les particules et l'eau en facilitant ou en entravant la sorption/désorption, ce qui complique l'interaction entre les sédiments et l'eau pour les PFAS. Il est donc très important de réaliser des études approfondies sur la distribution des PFAS entre les particules et l'eau dans les conditions estuariennes.Ces travaux sont divisés en deux parties : 1) détermination des cinétiques d'adsorption et de désorption des PFAS seuls ou mélange (compétition) sur un substrat modèle, la kaolinite et 2) étudier l'influence de la salinité et de la turbidité sur la distribution particules-eau des PFAS en conditions estuariennes. Ces travaux fournissent des éléments importants pour paramétrer les modèles de devenir des PFAS et estimer les bilans de masse à l'interface terre-mer
To understand the fate of legacy and emerging PFAS at the land-sea interface, this work focused on the interactions with estuarine sediments. More precisely, we mainly studied the influence of co-existing PFAS, salinity (S) and suspended particulate matter (SPM) on the sediment-water partitioning of PFAS. First, to investigate the effect of coexisting PFAS on their adsorption and desorption, competitive adsorption and desorption experiments were conducted using single and mixed PFAS solutions at low concentrations, using kaolinite as model sorbent. Selected PFAS include eight perfluoroalkyl carboxylates (PFCAs), two perfluoroalkyl sulfonic acids (PFSAs) and one zwitterionic PFAS (8:2 fluorotelomer sulfonamide alkylbetaine (8:2 FTAB)), which were studied in three single-solute solutions and two mixture solutions. A pseudo-second-order kinetic model was used to fit in the adsorption and desorption kinetics data correctly. Their sorption and desorption on kaolinite were quite fast, with equilibrium reached within 2h. Sorption processes appeared to be influenced by the PFAS molecular structure: sorption increased and desorption decreased with increasing fluoroalkyl chain length, characterized by the increase of log Kd. Besides, PFSAs (i.e, PFHxS and PFOS) had greater sorption and weaker desorption than PFCAs (i.e, PFHpA and PFNA) with similar fluoroalkyl chain. The zwitterionic 8:2 FTAB showed stronger sorption and smaller desorption than anions (i.e., PFOS or PFNA) with a similar fluoroalkyl chain. Sorption and desorption data obtained for single and multi-solute experiments indicated that there was no significant statistical difference between such conditions. Thus, the influence of competitive adsorption and desorption was negligible at low concentrations. To study the influence of salinity and SPM on the sorption of PFAS, we used a sediment sample collected in the fluvial sector of the Garonne-Gironde system. We performed sorption kinetics and sorption isotherms tests for the same PFAS, under 35 combination of salinity and turbidity. Based on response surface methodology (RSM) modelling approach, results indicated the sorption kinetics of PFAS onto sediment can be described by pseudo-second-order model and 24h is the equilibrium time for targeted PFAS. Besides, PFAS sorption can be well fitted by linear model and Freundlich model, the linear sorption range for PFAS studied was in the range of 0.12 to 1.31 nM (equilibrium concentration). Moreover, based on RSM modelling approach, we found that Kd varied between 0.62 and 55271 L/kg and that both S and SPM were significant factors, i.e. the Kd of PFAS was positively related to S due to salting-out effect while it was negatively related to SPM concentration. Moreover, SPM had a stronger effect than salinity (S) for PFHxA and PFHpA, whereas S was the more dominant factor for most other compounds. For PFUnDA and 8:2 FTAB, S and SPM displayed nearly equivalent weights as drivers of Kd. In addition, a negative interaction between both factors was observed, i.e. if SPM increases, the effect of S on Kd is weaker. Overall, this work provides original results to model the sorption of legacy and emerging PFAS on estuarine sediments based on RSM modelling approach. It provides a new perspective to investigate the fate of PFAS at the land-sea interface
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Jia, Xisheng. "OR modelling within the RCM context." Thesis, University of Salford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366325.

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Lindberg, Leif. "Modellering av A-ram." Thesis, Högskolan i Gävle, Akademin för teknik och miljö, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-8066.

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Mendonça, Danilo Filgueira. "Dependability verification for contextual/runtime goal modelling." reponame:Repositório Institucional da UnB, 2015. http://dx.doi.org/10.26512/2015.02.D.18158.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2015.
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Um contexto de operação estático não é a realidade para muitos sistemas de software atualmente. Variações de contextos impõe novos desafios ao desenvolvimento de sistemas seguros, o que inclui a ativação de falhas apenas em contextos específicos de operação. A engenharia de requisitos orientada a objetivos (GORE) explicita o ‘por quê’ dos requisitos de um sistema, isto é, a intencionalidade por trás de objetivos do sistema e os meios de se atingi-los. Um Runtime goal model (RGM) adiciona especificação de comportamento ao modelo de objetivos convencional, enquanto um Contextual goal model (CGM) especifica efeitos de contextos sobre objetivos, meios e métricas de qualidade. Visando uma verificação formal da dependabilidade de um Contextual-Runtime goal model (CRGM), nesse trabalho é proposta uma nova abordagem para a análise de dependabilidade orientada a objetivos baseada na técnica de verificação probabilística de modelos. Em particular, são definidas regras para a transformação de um CRGM para um modelo cadeia de Makov de tempo discreto (DTMC) com o qual se possa verificar a confiabilidade de se satisfazer um ou mais objetivos do sistema. Adicionalmente, para diminuir o esforço de análise e aumentar a usabilidade de nossa proposta, um gerador automatizado de código CRGM para DTMC foi implementado e integrado com sucesso à ferramenta gráfica que dá suporte às fases de modelagem e análise de objetivos da metodologia TROPOS. A verificação contextual de dependabilidade resultante reflete os requisitos no CRGM, que podem representar: o projeto de um sistema, cuja verificação ocorreria em fase de projetos; ou um sistema em execução, cujo comportamento pode ser verificado em tempo de execução como parte de uma análise de auto-adaptação com foco em dependabilidade.
A static and stable operation environment is not a reality for many systems nowadays. Context variations impose many threats to systems safety, including the activation of context specific failures. Goal-oriented requirements engineering (GORE) brings forward the ‘why’ of system requirements, i.e., the intentionality behind system goals and the means to meet then. A runtime goal model adds a behaviour specification layer to a conventional design goal model, and a contextual goal model specifies the context effects over system goals, means and qualitative metrics. In order to formally verify the dependability of a CRGM, we propose a new goal-oriented dependability analysis based on the probabilistic model checking technique. In particular, we define rules for the transformation of a CRGM into a DTMC model that can be verified for the reliability of the fulfilment of one or more system goals. Also, to mitigate the analysis overhead and increase the usability of our proposal, we have successfully implemented and integrated a CRGM to DTMC code generator to the graphical tool that supports the goal modelling and analysis phases of the TROPOS development methodology. The resulting contextual dependability verification reflects the system requirements in a CRGM, which may represent: a system-to-be, whose verification would take place at design-time; or a running system, whose behaviour can be verified at runtime as part of a self-adaptation analysis targeting dependability.
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Du, Zhaodong. "Numerical Modelling for Design of Ram-compacted Bearing Base Piling Foundations." Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/83426.

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This thesis presents a novel design method for RBB piles based on validated numerical modelling in ABAQUS. Two developed equations provided integrate five typical RBB piling parameters, involving a wide range of hypothetical cases of various RBB piling configurations, covering all actual soil types. The equations were calibrated with four historic cases; these have confirmed that the new predictions were economic and accurate, and the underestimation caused by the currently used design equations was eliminated.
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Bek, Jeremy. "Design, simulation, and testing of an electric propulsion cluster frame." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300970.

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In general, electric propulsion offers very high efficiency but relatively low thrust. To remedy this, several ion engines can be assembled in a clustered configuration and operated in parallel. This requires the careful design of a frame to accommodate the individual propulsion systems. This frame must be modular to be used in different cluster sizes, and verify thermal and mechanical requirements to ensure the nominal operation of the thrusters. The present report aims to show the design process of such a frame, from preliminary modelling to the experimental study of a prototype. This document features an overview of the iterative design process driven by thermal simulations rendered on COMSOL Multiphysics. This process led to the conception of a 2-thruster and 4-thruster cluster frame. A lumped-parameter model of the electric propulsion system was also created to model its complex thermal behaviour. In addition, the 2-thruster frame was studied mechanically with analytical calculations and simulations of simple load cases on SolidWorks. Lastly, a prototype based on the 2-thruster frame model was assembled. The prototype was used to conduct temperature measurements while hosting two operating thrusters inside a vacuum chamber. The temperature distribution in the cluster was measured, and compared to simulation results. Thermal simulations of the 2-thruster and 4-thruster frame showed promising results, while mechanical simulations of the 2-thruster version met all requirements. Moreover, experimental results largely agreed with thermal simulations of the prototype. Finally, the lumped-element model proved instrumental in calibrating the models, with its high flexibility and quick computation time.
Generellt erbjuder elektrisk framdrivning hög verkningsgrad men relativt låg dragkraft. För att avhjälpa detta kan flera jonmotorer sättas samman i en klusterkonfiguration och drivs parallellt. Detta kräver en noggrann utformning av en ram för att rymma de enskilda framdrivningssystemen. Denna ram måste vara modulär för att kunna användas i olika klusterstorlekar och verifiera termiska och mekaniska krav för att säkerställa den nominella driften av motorerna. Föreliggande rapport syftar till att visa designprocessen för en sådan ram, från preliminär modellering till experimentell studie av en prototyp. Detta dokument innehåller en översikt över den iterativa designprocessen, driven av termiska simuleringar gjorda med COMSOL Multiphysics, som ledde till uppfattningen av en 2 motorer och 4 motorer ram. En klumpelementmodell av jonmotorn skapades också för att modellera dess komplexa termiska beteende. Dessutom var den 2 motorer ram studeras mekaniskt med analytiska beräkningar och simuleringar av enkla laddafall med SolidWorks. Slutligen monterades en prototyp baserad på den 2 motorer rammodellen. Prototypen användes för att göra temperaturmätningar medan den är värd för 2 jonmotorer i en vakuumkammare. Temperaturfördelningen i klustret mättes och jämfördes med simuleringsresultat. Termiska simuleringar av den 2 motorer och 4 motorer ramen visade lovande resultat, medan mekaniska simuleringar av den 2 motorer versionen klarade alla krav. Dessutom överensstämde experimentella resultat till stor del med termiska simuleringar av prototypen. Slutligen var klumpelementmodellen mycket användbar för att kalibrera de andra modellerna med sin höga flexibilitet och snabba beräkningstid.
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Alzaabi, Mohamed Abdulla Hasan Saif. "New cryptanalysis and modelling for wireless networking." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/17115.

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High data rates and interoperability of vender devices have made WiMAX a prime desire for use worldwide. WiMAX is based on the IEEE 802.16 standard. IEEE 802.16a, b, c & d versions were updated within three years of the first launch of WiMAX. However, during those early years reports were published that highlighted the security weaknesses of the standard. These weaknesses prompted the IEEE to issue a new version, 802.16e to tackle the security issues. Despite this security enhancement, WiMAX remains vulnerable. This research project looks at the vulnerability of WiMAX 802.16e Subscriber Station/Mobile Station authentication at the initial entry and proposes approaches to the prevention of Denial of Service (DoS) attacks at this point in order to secure the Media Access Control (MAC) layer from such threats. A new protocol has been designed and developed to provide confidentiality, authentication and integrity to WiMAX users. This new protocol is integrated with Z algorithm (an algorithm described later in this paper) to provide: • Confidentiality of management messages • Message Authentication code • ID to provide for message integrity and user authentication. A simulation package was also required, to prove that a linear load of DoS attack would disable or exhaust the capacity of the base station of a WiMAX network, as well as providing other simulation functions. The freely available simulation tool NIST (NIST IPSec (Internet Protocol Security) and IKE (Internet Key Exchange) Simulation) is oriented towards fixed network communications (NIIST, 2003). There are no other relevant simulation tools; hence the purpose of this research project is to develop a new tool to simulate WiMAX security vulnerabilities and test the new protocol.
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Ridgeway, Julia B. "An analysis of changes in stream temperature due to forest harvest practices using DHSVM-RBM." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2093.

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Forest harvesting has been shown to cause various changes in water quantity and water quality parameters, highlighting the need for comprehensive forest practice rules. Studies show a myriad of impacts to ecosystems as a result of watershed level changes, such as forest harvesting. Being able to better understand the impact that forest harvesting can have on stream temperature is especially critical in locations where federally threatened or endangered fish species are located. The overall goal of this research project is to assess responses in stream temperature to various riparian and forest harvest treatments in a maritime, mountainous environment. The results of this study aim to inform decision makers with additional information pertaining to the effects of forest harvest on water temperature. Modeling is done as a part of the third Caspar Creek Paired Experimental Watershed study. Located in Mendocino County, the site provides a place for California researchers and decision makers to learn about the cumulative watershed effects of forest management operations on peak flows, sediment production, anadromous fish, macro-invertebrate communities, nutrient cycling and more. Historic data was used to calibrate the Distributed Hydrology Soil Vegetation Model (DHSVM) and River Basin Model (RBM) to measured stream temperatures in the South Fork of Caspar Creek (SFC) for hydrologic years 2010-2016. Critical summer time periods, when temperatures are highest and flows are low, are the primary concern for this work. The key modeling scenarios evaluated were (1) varying percentages of Watercourse and Lake Protection Zones (WLPZ) canopy cover, (2) the 2018-2019 SFC forest harvest and (3) an experimental design converting dominant riparian vegetation along 300-yard stream reaches. Modeling results showed that stream temperatures begin to rise above third-growth conditions when canopy cover is reduced to 25% and 0% retention levels. Larger increases in Maximum Weekly Maximum Temperature (MWMT) values, compared to Maximum Weekly Average Temperature (MWAT) values, were seen across all scenarios. There was essentially no difference between altering buffer areas along only class I streams, compared to along all stream classes. At the 0% canopy retention, MWMT values consistently rose above recommended thermal limits for Coho salmon (Oncorhynchus kisutch) and state regulations prohibiting more than a 5 degree F increase in waters. Clearcutting the entire watershed produced less of an effect than simulations clearing on only the riparian area, suggesting that groundwater inflows act to mitigate stream temperature rises in the SFC. The 2018-2019 harvest showed a relatively consistent increase in MWAT values (avg. 0.11 degree C) and more varied increases in MWMT values (avg. 0.32 degree C). Simulations converting dominant riparian vegetation by clearing could not be considered conclusive due to sensitivity analyses suggesting potentially unrealistic tracking of downstream temperatures. Additional sensitivity analyses suggest that tree height and the monthly extinction coefficient (a function of Leaf Area Index) are most influential on stream temperature changes in SFC. This is consistent with other modeling studies and suggests stream temperature management focus on tall, dense buffers as opposed to wider buffer widths.
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Books on the topic "RSM modelling"

1

John, Fitzgerald. Modelling systems: Practical tools and techniques in software development. New York: Cambridge University Press, 1998.

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John, Fitzgerald. Modelling systems: Practical tools and techniques in software development. Cambridge: Cambridge University Press, 1998.

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Pacific-Rim International Conference: Modelling, Simulation and Identification. (1992 Vancouver, Canada). Proceedings of the Pacific-Rim International Conference, Modelling, Simulation and Identification: Vancouver, Canada, August 4-6, 1992. Edited by Hamza M. H and International Association of Science and Technology for Development. Anaheim, CA: Acta Press, 1992.

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F, Raes, and Workshop on Real Time Radioactivity Monitoring, (2nd : 1989 : Ispra), eds. Real time radioactivity monitoring and its interface with predictive atmospheric transport modelling: Proceedings of the 2nd REM Workshop,Ispra, 5-6 December 1989. Luxembourg: Commission of the European Communities, 1991.

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Maus, Helge. Cinema 4D 13: Das umfassende Training ; über 20 Stunden Praxisschulung-3D-Modelling, Animation, Licht, Rendering und BodyPaint 3D ; DVD-ROM für Windows und Mac. Bonn: Galileo Press, 2011.

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Schneider, Jörg, and Ton Vrouwenvelder. Introduction to safety and reliability of structures. 3rd ed. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 1997. http://dx.doi.org/10.2749/sed005.

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<p>Society expects that buildings and other structures are safe for the people who use them or who are near them. The failure of a building or structure is expected to be an extremely rare event. Thus, society implicitly relies on the expertise of the professionals involved in the planning, design, construction, operation and maintenance of the structures it uses.<p>Structural engineers devote all their effort to meeting society’s expectations effi ciently. Engineers and scientists work together to develop solutions to structural problems. Given that nothing is absolutely and eternally safe, the goal is to attain an acceptably small probability of failure for a structure, a facility, or a situation. Reliability analysis is part of the science and practice of engineering today, not only with respect to the safety of structures, but also for questions of serviceability and other requirements of technical systems that might be impacted by some probability.<p>The present volume takes a rather broad approach to safety and reliability in Structural Engineering. It treats the underlying concepts of safety, reliability and risk and introduces the reader in a fi rst chapter to the main concepts and strategies for dealing with hazards. The next chapter is devoted to the processing of data into information that is relevant for applying reliability theory. Two following chapters deal with the modelling of structures and with methods of reliability analysis. Another chapter focuses on problems related to establishing target reliabilities, assessing existing structures, and on effective strategies against human error. The last chapter presents an outlook to more advanced applications. The Appendix supports the application of the methods proposed and refers readers to a number of related computer programs.<p>This book is aimed at both students and practicing engineers. It presents the concepts and procedures of reliability analysis in a straightforward, understandable way, making use of simple examples, rather than extended theoretical discussion. It is hoped that this approach serves to advance the application of safety and reliability analysis in engineering practice.<p>The book is amended with a free access to an educational version of a Variables Processor computer program. FreeVaP can be downloaded free of charge and supports the understanding of the subjects treated in this book.
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CODEE (Consortium for ODE Experiments). ODE Architect CD ROM Version 1.5. Wiley, 2001.

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Chemical Modelling Spr Chemical Modelling Rsc. Royal Society of Chemistry, 2006.

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Chemical Modelling Spr Chemical Modelling Rsc. Royal Society of Chemistry, 2004.

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Modelling Systems. Cambridge University Press, 2009.

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Book chapters on the topic "RSM modelling"

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José, R. San, J. L. Pérez, I. Salas, J. I. Pérez, A. Martín, R. Suárez, and R. M. González. "Air Quality Simulations over Europe Using the CAMx-RSM-MM5 System: Sensitivity to Meteorology and Initial Concentrations." In Air Pollution Modelling and Simulation, 391–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04956-3_38.

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Calgan, Haris, José Manuel Andrade, and Metin Demirtas. "RSM-Based Optimization of Excitation Capacitance and Speed for a Self-Excited Induction Generator." In Mathematical Modelling and Optimization of Engineering Problems, 139–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37062-6_7.

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Mondal, Nripen, Sudip Mandal, Madhab Chandra Mandal, Santanu Das, and Barun Haldar. "ANN-FPA Based Modelling and Optimization of Drilling Burrs Using RSM and GA." In Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering, 180–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90532-3_15.

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Valarmathi, T. N., K. Palanikumar, S. Sekar, and B. Latha. "ANFIS and RSM Modelling Analysis on Surface Roughness of PB Composites in Drilling with HSS Drills." In Materials Forming, Machining and Tribology, 129–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70009-6_8.

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Razak, Abdul, Akshay Hiremath, N. Sreenivasalu Reddy, G. A. Manjunath, Anuj Burle, A. Chandrashekar, Asif Afzal, and C. Ahamed Saleel. "Augmentation of Heat Transfer Over Dimple Surface in Forced Convection—An RSM and ANN Modelling Approach." In Lecture Notes in Mechanical Engineering, 611–25. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2382-3_51.

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Palanisamy, A., V. Sivabharathi, S. Sivasankaran, and S. Navaneethakrishnan. "Experimental Investigation and Optimization of EDM Process Parameters on Ti-6Al-4V Alloy Using Taguchi-Based GRA and Modelling by RSM." In Green Materials and Advanced Manufacturing Technology, 95–118. First edition. | Boca Raton, FL : CRC Press, 2021. | Series: Green engineering and technology: Concepts and applications: CRC Press, 2020. http://dx.doi.org/10.1201/9781003056546-8.

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Chandra, Vaibhav, Andriya Narasimhulu, Sudarsan Ghosh, and P. Venkateswara Rao. "Multi-objective Optimization and Modelling of AISI D2 Steel Using Grey Relational Analysis and RSM Approaches Under Nano-based MQL Hard Turning." In Lecture Notes in Mechanical Engineering, 967–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4320-7_88.

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Abdulkadir, Isyaka, Bashar S. Mohammed, M. S. Liew, and M. M. A. Wahab. "Effect of Graphene Oxide and Crumb Rubber on the Drying Shrinkage Behavior of Engineered Cementitious Composite (ECC): Experimental Study, RSM—Based Modelling and Optimization." In Lecture Notes in Civil Engineering, 29–42. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5041-3_3.

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Antunes, José, Ferran Brosa Planella, Arnau Dòria-Cerezo, Aleix March San José, Marta Pellicer, Antonio Rodríguez-Ferran, and Jordi Saludes. "Human Towers or Castells Modelling." In RSME Springer Series, 1–30. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32130-6_1.

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Aguareles, Maria, Francesc Font, Tim Myers, and Jordi Ripoll. "Mathematical Modelling of Fibre Coating." In RSME Springer Series, 69–82. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32130-6_4.

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Conference papers on the topic "RSM modelling"

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Sharif, Noor Fadzilah Mohamed, Nur Arisya Samsudin Seri, Siti Nooraya Mohd Tawil, Nazatul Shiema Binti Moh Nazar, Shahida Niza Binti Mokhtar Anis, Suhaidi Shafie, and Buda Samaila. "Response Surface Modelling of Titania Photoanode Dye Sensitized Solar Cell (DSSC) Using Central Composite Design." In International Conference on X-Rays and Related Techniques in Research and Industry 2023, 91–97. Switzerland: Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-8noszl.

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The purpose of this work is to enhance the performance of photoanode element in Dye-Sensitised Solar Cells (DSSC) by using a Response Surface Methodology (RSM) technique. Most of previous work related to photoanode enhancement have relied on the traditional method known as One Factor at a Time (OFAT), which has the limitation to evaluate the interaction effect for TiO2 Thickness and dye molarity. To address this issue, RSM is used to model and optimize the performance of DSSC parameters by studying the relationship between two parameters namely TiO2 film thickness and the concentration of N719 dye molarity . The RSM technique helps in finding the best mathematical model on how these parameters interact and affect the result of Power Conversion Efficiency (PCE). The result from this study shown that these two variables, TiO2 film thickness at 10 µm and the concentration of N719 at 0.4mM are significant and generated the highest value of PCE at 2.86%, with high coefficient of determination R2 (0.9983). The R2 of 0.9983 is close to 1 shows the strong correlation between the variables TiO2 film thickness and the concentration of N719 dye molarity.
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Hasan, Mohammad Mainul, Tanveer Saleh, and Ali Sophian. "Modelling of Machining Time and its Uncertainty in Micro Electrical Discharge Machining Process Using RSM." In 2024 9th International Conference on Mechatronics Engineering (ICOM), 163–70. IEEE, 2024. http://dx.doi.org/10.1109/icom61675.2024.10652357.

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Espinoza, Renzo Fabián, and Paulo Godoy. "OpenDSS-Based Real-Time RMS Simulator: Design and Applications." In 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/osmses62085.2024.10668999.

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Mohiuddin, A. K. M., Nabeel Adeyemi, and Ahmad Tariq Jameel. "Numerical Modelling of Mixed Flow Impeller in Stirred Vessel." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89368.

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Flow characteristics of a single mixed flow impeller in baffled and unbaffled vessel have been experimentally and numerically investigated at 600 rpm. The mean, radial and axial velocity components obtained using particle image velocimetry (PIV) were compared with three turbulence models (κ-ε, κ-ε shear stress transport (sst) and Reynold’s stress model (RSM)) based on the Reynold’s averaging Navier-Stokes equation at two planes, above (x/R = 0.46) and below (x/R = 0.38) the impeller. Numerical results of mean and axial velocity for the RSM turbulence model compared better to PIV below the impeller against other models in the baffled vessel. However, the axial and radial velocity components from the κ-ε model compare well to PIV result at a distance away from the wall. Associated power number and energy of the impeller were also observed to be better predicted with the RSM, although at a higher computational cost. Trade-offs in using the RSM as a tool for simulation of the mixed flow impeller is suggested.
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Zaidon, N., A. N. Nordin, and A. F. Ismail. "Modelling of microfluidics network using electric circuits." In 2015 IEEE Regional Symposium on Micro and Nanoelectronics (RSM). IEEE, 2015. http://dx.doi.org/10.1109/rsm.2015.7354954.

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Samuel, Olusegun D., Venkateshwar R. Pathapalli, and Christopher C. Enweremadu. "Optimizing and Modelling Performance Parameters of IC Engine Fueled With Palm-Castor Biodiesel and Diesel Blends Combination Using RSM, ANN, MOORA and WASPAS Technique." In ASME 2022 16th International Conference on Energy Sustainability collocated with the ASME 2022 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/es2022-81146.

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Abstract Biodiesel fuel properties and engine characteristics can be improved by using hybrid biodiesel and robust optimization tools. This study predicts the performance parameters of diesel engines fueled with castor-palm kernel biodiesel (CPKB) and diesel fuel blend using response surface methodology (RSM) and artificial neural network (ANN). Optimization of the performance parameters was also carried out using multi-criteria decision-making methods (WASPA S and MOORA) for the first time. The RSM and ANN were employed in predicting the performance parameters such as CPKB fuel blends (FB) (0–20 vol.%), engine load (EL) (0–50%), and engine speed (ES) (1000–2000 rpm) on the performance indicators viz. brake torque (BT), brake power (BP), brake specific fuel consumption (BSFC), brake thermal efficiency (BTE). The Box-Behnken design was used for performing the experimental trials. The RSM model predicted the BT of 107.95 Nm, BP of 11.300 kW, BSFC of 0.057 kg/kWh, BTE of 15.147%, at the optimal level of CPKB blends of 20% (B20), engine load of 50%, and an engine speed of 1000 rpm, respectively. Results showed that based on the values of R2and average absolute deviation (AAD) obtained, the predictive capability of both RSM and ANN were within acceptable limits. The best experimental trial from the WASPAS method is the #20 experimental run and the parameter combination are FB-10%, EL-25, and ES-1500 rpm, whereas for the MOORA method, five such experimental trials were observed viz., #1 run: FB-0%, EL-0, and ES-1000 rpm, #2 run: FB-20%, EL-0 and ES-1000 rpm, #5 run: FB-0%, EL-0, and ES-2000 rpm, #6 run: FB-20%, EL-0, and ES-2000 rpm #11 run: FB-10%, EL-0, and ES-1500 rpm.
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Jamil, Nadira, Anis Nurashikin Nordin, and Ioana Voiculescu. "Design and modelling of an impedance-based MEMS biosensor." In 2011 IEEE Regional Symposium on Micro and Nanoelectronics (RSM). IEEE, 2011. http://dx.doi.org/10.1109/rsm.2011.6088352.

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Rahman, Mohamad Faizal Abd, Mohd Rizal Arshad, Asrulnizam Abd Manaf, and Mohd Ikhwan Hadi Yaacob. "Modelling of a novel design of microfluidic based acoustic sensor." In 2011 IEEE Regional Symposium on Micro and Nanoelectronics (RSM). IEEE, 2011. http://dx.doi.org/10.1109/rsm.2011.6088291.

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Saad, Ismail, C. Bun Seng, H. Mohd Zuhir, B. Andee Hazwani, and N. Bolong. "Physics-based modelling of vertical strained impact ionization MOSFET (VESIMOS)." In 2015 IEEE Regional Symposium on Micro and Nanoelectronics (RSM). IEEE, 2015. http://dx.doi.org/10.1109/rsm.2015.7354971.

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Wei, Jinwen. "A Simplified Model of Quadratic Polynomials RSM And Its Design of Experiment." In 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/msam-18.2018.3.

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Reports on the topic "RSM modelling"

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Chen, Xiao, Jaisree Iyer, and Susan Carroll. Dynamic reduced order modelling (ROM) of chemical and mechanical processes in CO2-cement systems. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1476178.

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Padget, C. D. W., D. R. M. Pattison, D. P. Moynihan, and O. Beyssac. Pyrite and pyrrhotite in a prograde metamorphic sequence, Hyland River region, SE Yukon: implications for orogenic gold. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328987.

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The distribution of pyrite and pyrrhotite is documented within an andalusite-sillimanite type (high-temperature, low-pressure) metasedimentary succession exposed in the Hyland River region of southeastern Yukon, Canada. The following metamorphic zones are recognized: chlorite, biotite, cordierite/staurolite (porphyroblast-in), andalusite, sillimanite, and K-feldspar + sillimanite. Pyrite occurs in the chlorite zone through the biotite zone, while pyrrhotite occurs from the chlorite zone to K-feldspar + sillimanite zone. The pyrite-pyrrhotite transition, therefore, occupies an interval in the chlorite and lower biotite zones that is terminated upgrade by a pyrite-out isograd in the upper part of the biotite zone or lowest grade part of the cordierite/staurolite zone. Pressure and temperature conditions of the rocks were estimated from phase equilibrium modelling and from Raman spectroscopy of carbonaceous material (RSCM) thermometry. Modelling indicates pressures of 3.7-4.1 kbar with temperatures of ~425 °C at the biotite isograd, 560-570 °C for chlorite-out/porphyroblast-in, ~575 °C for andalusite-in, 575-600 °C for the sillimanite isograd, and 645-660 °C at the K-feldspar + sillimanite isograd. RSCM temperatures are greater than or equal to 420 °C in the Chl zone, 500 °C at the Bt isograd, 525-550 °C for porphyroblast-in isograd, ~550 °C at the And isograd, and 580 °C at the Sil isograd. These results suggest the pyrite-pyrrhotite transition occurs from less than or equal to 420°C to ~560 °C. Thermodynamic modelling shows 0.6 wt. % H2O is released during metamorphism over the ~140 °C interval of the pyrite-pyrrhotite transition. The gradual release of fluid in the biotite zone is interpreted to have broadened the pyrite-pyrrhotite transition compared to other studies that predict a small interval of vigorous fluid release associated with volumetric chlorite consumption. Samples from the pyrite-pyrrhotite transition zone contain lower whole rock and pyrite Au values than samples from unmetamorphosed/lower rocks, suggesting that Au was removed from the rock at conditions below the pyrite-pyrrhotite transition (&amp;lt;420 °C). The chlorite zone and higher-grade metamorphic rocks of the Hyland River area do not appear to be a plausible source region for orogenic gold.
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3

Yu, Y. S. Capabilities, limitations and the use of the GEOROC computer package. Natural Resources Canada/CMSS/Information Management, 1987. http://dx.doi.org/10.4095/325534.

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Computer codes have been used by various researchers in modelling viscoelastic formations, with a good degree of success. Serata used a complex rheological model, REM (Rheological Element Model) code, to simulate mine openings [2]. Others, in the U.S. Nuclear Waste Isolation Programme, have evaluated the capability of various codes for the design of nuclear waste repository [3]. Because of the proprietary nature of the above codes, they are not available to mine operators in Canada. Consequently, in 1984, CANMET initiated a research project to develop a numerical modelling package for use in the design of underground potash mine openings. GEOROC is the resultant computer program; it was developed by RE/SPEC Ltd., of Calgary under contract to CANMET. In recent years, computer simulation is playing an increasingly important role in evaluating the short and long term structural stability of underground mine openings, and in ground control studies related to mine design and layout. Such simulations are increasingly being used in the design of underground salt and potash mines. Because of the viscoelastic nature of salt rock formations, simulation models must take into consideration their time dependent properties if they are to correctly predict opening closures, ground stresses, and ground stability based on prescribed failure criteria. This presentation describes the capabilities, limitations and the use of computer code - GEOROC. A case history in which GEOROC is used to simulate a typical room and pillar mining section of a Western Canadian potash mine is provided. Predicted ground behaviour using the code is compared with actual behaviour as determined through field measurements. Results indicate that good correlation exits between predicted and measured ground behaviour, and is an encouragement to greater use of modelling in mine stability studies related to mine design.
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