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《Journal of Hefei University of Technology(Natural Science)》 1988-01
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OPTIMAL DESIGN WITH ORTHOGONAL REGRESSION——A Practical Method to Heighten The Efficiency of Optimal Design

J.Z .Gao X.S. Lu  
If an objective function is an implicit function of design variables, the orthogonal regressive optimal design method introduced in this paper can be used to construct a quadatic polynomial to replace the implicit objective function. The application of the orthogonal table can decrease the computing times of the implicit function during constructing the polynomial, what is more, using the new objective function, much time can be saved during optimum iteration. The noteworthiness test can tell us which design variables affects the ocjective function mostly. In this way, the efficiency of optimal design can be raised greatly. An example for the comparison between the orthogonal regressive and ordinary optimal design methods is presented in this paper.
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【References】
Chinese Journal Full-text Database 1 Hits
1 CHEN Juan,LU Xin-sheng,ZHANG Ye(CAD/CAM R&D Center,Hefei University of Technology,Hefei 230009,China);Modeling and Simulation for Deformation of Dielectric Elastomers[J];Journal of Materials Science and Engineering;2007-03
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Fan Dibin;Lu Yiulin Department of Power Machinery;THE OPTIMIZATION DESIGN FOR THE VEHICLE SUSPENSION PARAMETERS[J];;1988-01
2 YANG You-wen, WANG Jian-hua (Department of Science and Research, Hefei University of Technology, Hefei 230009, China);The status and application of MEMS technology[J];Micronanoelectronic Technology;2003-03
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【Secondary References】
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1 LI Gang, FENG Min-liang, LU Xin-sheng, ZHANG Jin-quan (CAD/CAM R&D Center,Hefei University of Technology,Hefei 230009,China);Design of Unilateral Push-pull Actuator of Dielectric Elastomers[J];Mechanical Engineer;2007-08
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3 YANG Jian-wei1,DONG Jun-zhe2,LI Jie2(1.School of Mechanical-electronic and Automobile Engineering,Beijing University of Civil Engineering and Architecture, Beijing 100044,China; 2.School of Mechanical and Electronic Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China);Optimization of Heavy Vehicle Suspension Parameters Based on Gradient Optimization[J];Tractor & Farm Transporter;2011-03
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