Founded in 1971 >
Chinese Sci-tech Core Periodicals >
British Science Abstracts (SA, INSPEC) Indexed Journals >
United States, Cambridge Scientific Abstract: Technology (CSA: T) Indexed Journals >
United States, Ulrich's Periodicals Directory(UPD)Indexed Journals >
United States, Cambridge Scientific Abstract: Natural Science (CSA: NS) Indexed Journals >
Poland ,Index of Copernicus(IC) Indexed Journals >
International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: In order to solve the numerical instability problem in the nonlinear topology optimization of the compliant constant force mechanism, the material interpolation method of nonlinear topology optimization was investigated. First, the design domain and nonlinear topology optimization model were constructed according to the characteristics of the constant force mechanism. Then, the reasons for the numerical instability problem were discussed, and a new material interpolation model was proposed to avoid the numerical instability problem by controlling the strain, in which a parameter α was introduced to realize the simultaneous adjustment of the deformation resistance of low-density elements. An adaptive adjustment strategy of parameter α was given according to the maximum equivalent strain. Finally, based on the proposed material interpolation model, the sensitivity equation of the objective function of the optimization model was deduced. Constant force mechanisms with different constant force intervals were optimized, the optimization results and the optimization efficiency were discussed. An experimental platform was built to validate the actual output performance of the optimized constant force mechanism. The experimental results show that the maximum output force error of the constant force mechanism optimized by this method is 2.3% in the given constant force interval. The results show that the adaptive material interpolation method effectively avoids the numerical instability problem, the stability is improved, and the optimization efficiency is improved compared with the additional hyperplastic material method.
Key words: compliant constant force mechanism; adaptive material interpolation scheme; nonlinear topology optimization; numerical instability problem; sensitivity of objective function; optimization efficiency