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《Machinery Design & Manufacture》 2013-04
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Research on Optimal Design of Stent Foreshortening Mechanical Property

SHEN Xiang,REN Guo-dong,FENG Bao-lin(School of Mechanical Engieering,Jiangsu University,Jiangsu Zhenjiang 212013,China)  
Excellent mechanical property of shortening or low shortening rate has become an essential feature of new coronary stents.In view of the complexity of stent structure optimization,it presents an integrated approach using radial basis function neural network(RBFNN)and genetic algorithm(GA)for foreshortening optimization of stent.Finite element simulation and RBFNN are used to establish the complex non-linear mapping relationship between foreshortening and stent design parameters.RBFNN model is used as an objective function and GA is employed for arriving at optimum configuration of the stent by minimizing the foreshortening.The optimization results illustrate that it can achieve highly accurate response approximation model.And the approach can greatly save the computation time of stent foreshortening optimization and raise the efficiency of optimization process.
【Fund】: 中国博士后基金(2011M500858);; 江苏大学科研启动基金(10JDG123)
【CateGory Index】: R318.01;TP18
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