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Response-Surface Methods in R, Using rsm  [PDF]
Russell V. Lenth
Journal of Statistical Software , 2009,
Abstract: This article describes the recent package rsm, which was designed to provide R support for standard response-surface methods. Functions are provided to generate central-composite and Box-Behnken designs. For analysis of the resulting data, the package provides for estimating the response surface, testing its lack of fit, displaying an ensemble of contour plots of the fitted surface, and doing follow-up analyses such as steepest ascent, canonical analysis, and ridge analysis. It also implements a coded-data structure to aid in this essential aspect of the methodology. The functions are designed in hopes of providing an intuitive and effective user interface. Potential exists for expanding the package in a variety of ways.
Application of Improved RSM in the Optimization of Automotive Frontal Crashworthiness  [PDF]
Chunke Liu, Jianxing Li, Xiaojun Xu
Journal of Transportation Technologies (JTTs) , 2016, DOI: 10.4236/jtts.2016.63015
Abstract: Based on the vehicle front crash finite element analysis, it shows that there is a large acceleration, so it needs further optimization. In order to improve the performance of vehicle collision, eight parts were selected which have large impact for the result, its thickness as design variables to the right of the B-pillar acceleration peak of optimization goal; 17 sample points were selected by Latin hypercube sampling method. Many structure parameters are optimized using sequential quadratic program (SQP) based on the surrogate model. The results show that the improved RSM has high accuracy; the right B-pillar acceleration reduced approximately 22.8%, reached the expected objective and was more conducive to the occupant safety.
Modelling Surface Finish in WEDM using RSM  [PDF]
Amit Joshi,S. S. Samant,K. K. S. Mer
International Journal on Theoretical and Applied Research in Mechanical Engineering , 2013,
Abstract: Wire electrical discharge machining (WEDM) is a specialized thermal machining process capable of accurately machining parts with varying hardness or complex shapes, which have sharp edges that are very difficult to be machined by the conventional machining processes. This practical technology of the WEDM process is based on the conventional EDM sparking phenomenon utilizing the widely accepted non-contact technique of material removal. Since the introduction of the process, WEDM has evolved from a simple means of making tools and dies to the best alternative of producing micro-scale parts with the highest degree of dimensional accuracy and surface finish quality. The effect of various parameters of WEDM like pulse on time (TON), pulse off time (TOFF), gap voltage (SV) have been investigated to reveal their impact on output parameter i.e., surface roughness of high carbon and high chromium steel using response surface methodology. Experimental plan is performed by standard RSM design called a BOX-BEHKEN DESIGN. The optimal set of process parameter has also been predicted to maximize the surface finish.
Process Modelling of Ultrafiltration Units: An RSM Approach  [PDF]
M.O. Daramola,K.J. Keesman,F. Spenkelink
Journal of Applied Sciences , 2007,
Abstract: This study reports a study on the process modelling of ultrafiltration (UF) units with a focus on the development of backwashing models based on properly designed experiments under pilot scale conditions. For the modelling, series of experiments were designed using a star- 23 (fractional) factorial design methods and performed with the so-called SMART-XIGA pilot plant provided by Norit Membrane Technology, a key player in the membrane manufacturing. The influential factors on both the Hydraulic Backwash (HB) and Chemically Enhanced Backwash (CEB) are considered as variables in the resulting second-order regression models. The development and cross-validation of the models is solely based on the results obtained from the properly designed experiments. Explanation of the interactions among the considered factors was investigated via graphical and eigenvalue analysis using Response Surface Methodology (RSM) approach of empirical modelling. The results show that, a change in transmembrane pressure in HB is largely dependent on the backwash time and backwash frequency with backwash flux having no effect. Reversibility of the fouled layer in CEB is greatly dependent on the coagulant concentration dosing and the filtration flux and not so much on the filtration time. Also, the cross-validation and the ANOVA analysis carried out show that the models are valid in the region of our nominal working points.
Growth characteristics modeling of Bifidobacterium bifidum using RSM and ANN
Meena, Ganga S.;Gupta, Suneel;Majumdar, Gautam C.;Banerjee, Rintu;
Brazilian Archives of Biology and Technology , 2011, DOI: 10.1590/S1516-89132011000600023
Abstract: the aim of this work was to optimize the biomass production by bifidobacterium bifidum 255 using the response surface methodology (rsm) and artificial neural network (ann) both coupled with ga. to develop the empirical model for the yield of probiotic bacteria, additional carbon and nitrogen content, inoculum size, age, temperature and ph were selected as the parameters. models were developed using ? fractional factorial design (ffd) of the experiments with the selected parameters. the normalized percentage mean squared error obtained from the ann and rsm models were 0.05 and 0.1%, respectively. regression coefficient (r2) of the ann model showed higher prediction accuracy compared to that of the rsm model. the empirical yield model (for both ann and rsm) obtained were utilized as the objective functions to be maximized with the help of genetic algorithm. the optimal conditions for the maximal biomass yield were 37.4 °c, ph 7.09, inoculum volume 1.97 ml, inoculum age 58.58 h, carbon content 41.74% (w/v), and nitrogen content 46.23% (w/v). the work reported is a novel concept of combining the statistical modeling and evolutionary optimization for an improved yield of cell mass of b. bifidum 255.
The Bench Test and Field Test of Rotary Steering Motor (RSM) System  [cached]
Guanghua DONG,Xinhua LIU,Guangtong FENG,jianghong JIA
Advances in Petroleum Exploration and Development , 2012, DOI: 10.3968/j.aped.1925543820120301.166
Abstract: Rotary steering system may improve drilling speed, reduce downhole accidents and decrease drilling cost greatly when it is used to drill extended reach well and multilateral horizontal well. The feature and components of Rotary Steerable Motor (RSM)system are first briefly introduced in this paper : it consists of rotary steerable head, mud motor and flex sub and works in Push the Bit mode, steering or non-steering condition and each blade are controlled by using independent electromagnetic valves, mud motor provides power for bit and the hydraulic system by driving shaft; then the pre-test procedures, test set-up and procedures of bench test are described in detail: including blade sequence test, blade firing delay time test and acceptance test of RSM system, finally the note and analysis of the field tests of RSM system in ShengLi Oil Field are enumerated. The bench tests and field tests show that control method of this system is simply, reliable and easily realizable, with improvements this system will be used in practical application soon. Key words:Rotary Steering Motor (RSM) System; Mud motor; Bench test; Field test; Steering blade
Towards cross docking system simulation optimization based on RSM

SHI Wen,XU Mao-zeng,LIU Zhi-xue,

计算机应用研究 , 2009,
Abstract: Studies on the cross docking system in supplier chain based on response surface methodology which didn't be used logistics before.The objective was to minimize the operating time of the CD.The most significant factors of this model were A and C which should be controlled rigidly.In addition,the optimal solution from RSM equation could curtail the operating time of CD considerably.Compared with other algorithms,random factors and errors were considered and no need to list all the restrictions of the model.Th...
Optimisation of beef tenderisation treated with bromelain using response surface methodology (RSM)  [PDF]
S. Zainal, K. Z. Nadzirah, A. Noriham, I. Normah
Agricultural Sciences (AS) , 2013, DOI: 10.4236/as.2013.45B013

The purpose of this study is to determine the optimum condition for the tenderization of beef by bromelain using Response Surface Methodology (RSM). Initially, bromelain powder was produced from pineapple crown of variety N36. Production of the bromelain powder involves several process steps such as extraction, purification, desalting and freeze drying. The cube size beef of round part was treated with bromelain at different pHs of beef, immersion temperatures, bromelain solution concentrations, and immersion times according to the experimental design which was recommended by RSM of MINITAB software version 15. Beef tenderness was then measured by Texture Analyser. The MINITAB software Version 15 was used to optimise the tenderisation of beef by bromelain. The determination coefficient R2 was 99.97% meaning that the experimental data were acceptable. It was found that beef could be optimize tenderised 89.907% at the optimum condition at pH of beef of 5.4, immersion temperature of60℃, bromelain solution concentration of 0.1682% and immersion time of 10 minutes. The verification value of beef ten-derisation at the feasible optimum condition which was determined by experiment was 89.571%. Since the difference between the veri- fication and predicted values was less than 5%, therefore, the optimum condition for the tenderisation of beef predicted by MINITAB software Version 15 could be accepted.

针对RSM轻量防护方法的能量分析  [PDF]
- , 2016,
Abstract: 以已有的轻量级RSM掩码方案为研究对象,利用掩码汉明重量的差异提出了一种新型攻击方法,并在此基础上,利用加密过程中间值的汉明重量差异进行能量分析,将该攻击方法扩展成为了掩码汉明重量无差异的对抗方法.实验结果表明,本文的攻击方法可还原单次加密的掩码值,成功率达到93.1%,经DPA Contest官网所提供数据验证,该攻击方法可成功还原掩码并最终完成密钥恢复
Hybridizing PSM and RSM Operator for Solving NP-Complete Problems: Application to Traveling Salesman
Chakir Tajani,Otman Abdoun,Jaafar Abouchabaka
International Journal of Computer Science Issues , 2012,
Abstract: In this paper, we present a new mutation operator, Hybrid Mutation (HPRM), for a genetic algorithm that generates high quality solutions to the Traveling Salesman Problem (TSP). The Hybrid Mutation operator constructs an offspring from a pair of parents by hybridizing two mutation operators, PSM and RSM. The efficiency of the HPRM is compared as against some existing mutation operators; namely, Reverse Sequence Mutation (RSM) and Partial Shuffle Mutation (PSM) for BERLIN52 as instance of TSPLIB. Experimental results show that the new mutation operator is better than the RSM and PSM.
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