2024-03-29T13:01:06Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00019017
2023-01-16T04:07:21Z
312:313:314
サスペンション部品の非線形座屈現象に関する形状最適化の検討
Examination of Shape Optimization for the Nonlinear Buckling Phenomenon of Suspension Parts
新谷, 浩平
長谷, 高明
伊藤, 聡
畔上, 秀幸
SHINTANI, Kouhei
NAGATANI, Takaaki
ITO, Satoshi
AZEGAMI, Hideyuki
open access
Optimum Design
Finite Element Method(FEM)
Nonlinear Buckling
Weight Reduction
Traction Method
Geometrical Non-Linearity
Material Non-Linearity
This paper presents a numerical solution to a non-parametric shape optimization problem for design of suspension arm in which strength of suspension arm is evaluated by reaction force to plastic buckling load due to compulsory displacement. To deal with buckling phenomena, the geometrical non-linearity and material non-linearity are considered. Hyper-elastic theory is applied to calculate the deformation of suspension arm, under assumption of monotonous loading. Mass and the reaction force integral to the buckling phenomena are chosen as an objective function and a constraint function, respectively. The shape derivatives of these functions are evaluated by the shape optimization theory. A numerical scheme based on a sequential quadratic approximation method is applied to reshape by using the shape gradients. In this scheme, the traction method is used to find the decent directions of the cost functions. The scheme is implemented by using a commercial shape optimization program. In this program, the shape gradients are calculated by a user sub-program which is developed by using the result of non-linear FEM analysis of a commercial solver. The numerical example for a suspension arm model shows 12% of mass reduction while keeping the reaction force integral constant.
一般社団法人日本機械学会
2011-08
jpn
journal article
AM
http://hdl.handle.net/2237/21116
https://nagoya.repo.nii.ac.jp/records/19017
https://doi.org/10.1299/kikaia.77.1187
0387-5008
日本機械学会論文集A編
77
780
1187
1198
https://nagoya.repo.nii.ac.jp/record/19017/files/12_2011_Shintani.pdf
application/pdf
924.2 kB
2018-02-21