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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2018> 27(2): 267-275
Jie Song, Hongliang Hua, Zhenqiang Liao, Tao Wang, Ming Qiu. Combined Size and Shape Optimization of Structures with DOE, RSM and GA[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 267-275. doi: 10.15918/j.jbit1004-0579.201827.0215
Citation: Jie Song, Hongliang Hua, Zhenqiang Liao, Tao Wang, Ming Qiu. Combined Size and Shape Optimization of Structures with DOE, RSM and GA[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 267-275.doi:10.15918/j.jbit1004-0579.201827.0215
shu

Combined Size and Shape Optimization of Structures with DOE, RSM and GA

doi:10.15918/j.jbit1004-0579.201827.0215

  • School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

  • Received Date:2017-03-28
    Abstract
  • In this paper, size and shape optimization problem of a machine gun system is addressed with an efficient hybrid method, in which a novel and flexible mesh morphing technique is employed to achieve fast parameterization and modification of complexity structure without going back to CAD for reconstruction of geometric models or to finite element analysis (FEA) for remodeling. Design of experiments (DOE) and response surface method (RSM) are applied to approximate the constitutive parameters of a machine gun system based on experimental tests. Further FEA, secondary development technique and genetic algorithm (GA) are introduced to find all the optimal solutions in one go and the optimal design of the demonstrated machine gun system is obtained. Results of the rigid-flexible coupling dynamic analysis and exterior ballistics calculation validate the proposed methodology, which is relatively time-saving, reliable and has the potential to solve similar problems.
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