期刊文献+

基于有限元逆算法的板料成形模拟拉深筋的灵敏度优化 被引量:7

Optimization of Drawbead Restraining Forces in Sheet Metal Forming Process by Sensitivity Analysis Method Based on Inverse Approach of FE
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摘要 基于有限元逆算法和灵敏度优化的BFGS(Broyden-Fletcher-Goldfarb-Shanno)算法,提出一种以成形极限曲线和起皱极限曲线作为目标函数,优化拉深成形中的拉深筋位置和大小的拉深筋灵敏度优化算法。优化算法综合考虑冲压件成形过程中起皱和破裂对成形性的影响因素,比只考虑板厚变化更能准确地反映板料的成形性,而且基于逆算法的灵敏度优化算法计算速度很快,可以应用于大型复杂冲压件的工艺参数优化过程模拟。通过两个典型的零件验证了该算法的优化结果符合实际工艺。 Based on inverse approach of FE and by sensitivity analysis optimization BFGS( Broyden -Fletcher-Goldfarb-Shanno) method, considering FLC and WLC curve as object function , this paper presented a method to optimize the drawbead restraining forces and position in sheet metal forming process for optimism of drawbead sensitivity analysis. This method took account of both of factors affected by rupture and wrinkle in metal sheet forming, therefore it could reflect the formability more accurately than that only considerate the variability of sheet thick. Furthermore, based on inverse approach of FE, this algorithm runs much fast and is widely applied in optimization of processing parameters in simulating large complex auto panels. Finally, it is validated that the optimized results are nearly accord with real ones under producing two typical parts.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2007年第1期87-90,共4页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50575080)
关键词 逆算法 拉深筋 灵敏度分析 优化设计 inverse approach drawbead sensitivity analysis optimized design
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参考文献4

  • 1Naceur H, Guo Y Q, Batoz J L,et al. Optimization of Drawbead Restraining Forces and Drawbead Design in Sheet Metal Forming Process[J]. Int. J. Mechanical Science, 2001,43: 2407-2434.
  • 2Naceur H, Delame ziere, Batoz J L, et al. Some Improvements on the Optimum Process Design in Deep Drawing Using the Inverse Approach[J]. Int. J. Materials Processing Technology, 2004,146 : 250-262.
  • 3柳玉起,杜亭,章志兵.板料冲压成形快速分析软件FASTAMP[J].材料科学与工艺,2004,12(4):353-356. 被引量:23
  • 4Hyunbo Shim, Kichan Son, Kwanghee Kin. Optimum Blank Shape Design by Sensitivity Analysis[J]. Int. J. Materials Processing Technology,2000,104 :191-199.

二级参考文献6

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