外文文献-基于Dynafrom阶梯形圆筒件回弹分析.doc

本科毕业设计(论文) 外文翻译（附外文原文） 学 院：机械与控制工程学院 课题名称：基于Dynafrom的阶梯形 圆筒件回弹分析 专业(方向)：机械设计制造及其自动化 （模具设计与制造） 班 级： 机械11-2班 学 生： 黄基欢 指导教师： 覃天 日 期： 2015年3月10日 Application of Data Mining Method to Improve the Accuracy of Springback Prediction in Sheet Metal Forming XU Jing-jing ZHANG Wei-zhi WU Yi-min Abstract: A new method was worked out to improve the precision of springback prediction in sheet metal forming by combining the finite element method(FEM)with the data mining(DM)technique．First the genetic algorithm (GA) was adopted for recognizing the materia1 parameters．Then according to the even design idea，the suitable calculation scheme was confirmed，and FEM was used for calculating the springback．The computation results were compared with experiment data，the difference between them was taken as source data，and a new pattern recognition method of DM called hierarchical optimal map recognition method(HOMR)is applied for summarizing the calculation regulation in FEM ．At the end．the mathematics model of the springback simulation was established．Based on the model，the calculation errors of springback can be controlled within 10％ compared with the experimental results． Key wordsspringback prediction；pattern recognition；genetic algorithm；FEM ；H0MR；data mining 1 Introduction The springback in sheet metal forming can be described as the change of sheet metal shape compared with the shape of the tools after forming process. Sheet metals with high strength--to--modulus ratio such as high strength steels and aluminum alloys are particularly prone to springback， and these materials are becoming more important in automotive industry to reduce the car weight and increase fuel efficiency．The final component shape does not conform to the tool geometry due to the springback of par