DocumentCode
3348222
Title
Mathematical modeling of constructional curves for dual-objective optimization of surface design
Author
Zhao, Weiguo ; Li, Qiang
Author_Institution
Coll. of Mech. Eng., Inner Mongolia Univ. of Technol., Hohhot, China
fYear
2010
fDate
26-28 June 2010
Firstpage
5472
Lastpage
5475
Abstract
The dual-objective optimization of surface discussed in this paper means that the optimal surface is not only smoothing but also corresponded to the shape of the back of the body. Since surface can be built with family of curves which are optimized with the same two objectives, the mathematical model of surface´s constructional curve is critical to the success of dual-objective optimization of surface design. First, this paper proposes an improved energy method which is a combination of the conventional energy method and the least squares theory. Then, describes the steps of mathematical modeling of surface´s constructional curve on the basis of the improved energy method in more detail. A surface design of seat back, one kind of typical dual-objective optimization design problem, is used to discuss the performance of this method. It is shown that the dual-objective optimization problem of surface design can be solved well with this proposed method.
Keywords
curve fitting; design engineering; ergonomics; least squares approximations; mathematical analysis; optimisation; seats; constructional curve; dual-objective optimization; ergonomics; improved energy method; least squares theory; mathematical modeling; optimal surface; seat back; surface design; surface smoothing; Design optimization; Educational institutions; Ergonomics; Least squares methods; MATLAB; Mathematical model; Mechanical engineering; Optimization methods; Shape; Smoothing methods; curve and surface smoothing; dual-objective optimization; ergonomics; mathematical modeling; the improved energy method;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535546
Filename
5535546
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