A study on the optimization method for a multi-body system using the response surface analysis

An optimization method, which minimizes the characteristic value of a system using response surface analysis, is presented. Plackett-Burman design is used as a screening method. Using the response surface analysis, second order recursive model function is estimated as an objective function. To verif...

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Bibliographic Details
Published in:	Journal of mechanical science and technology Vol. 23; no. 4; pp. 950 - 953
Main Authors:	Jung, Sung-Pil, Park, Tae-Won, Jun, Kab-Jin, Yoon, Ji-Won, Lee, Soo-Ho, Chung, Won-Sun
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Heidelberg Korean Society of Mechanical Engineers 01.04.2009 Springer Nature B.V 대한기계학회
Subjects:	Applied sciences Control Design engineering Design parameters Dynamic models Dynamical Systems Engineering Exact sciences and technology Experimental design Industrial and Production Engineering Mathematical models Mathematical programming Mathematics Mechanical Engineering Operational research and scientific management Operational research. Management science Optimization Probability and statistics Recursive Reliability theory. Replacement problems Response surfaces Sciences and techniques of general use Statistics Studies Tables (data) Vibration 기계공학 Plackett-Burman design Sequential quadratic programming method Central composite design Design of experiments Analysis of variance F test Process planning N body system Recursive function Medical screening Quadratic programming Variance analysis Modeling Optimization Screening Sequential method Experimental design Response surface Objective function Dynamic programming Reliability Dynamic model Factorial design System analysis
ISSN:	1738-494X, 1976-3824
Online Access:	Get full text
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