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基于响应面模型与人工鱼群算法的汽车车门内饰柱注塑成型优化设计

Optimal Design of Injection Molding of Automotive Door Interior Columns based on Response Surface Model and Artificial Fish Swarm Algorithm

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【作者】 马镜涵刘泓滨汪鑫

【Author】 Ma Jinghan;Liu Hongbin;Wang Xin;Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology;

【通讯作者】 刘泓滨;

【机构】 昆明理工大学机电工程学院

【摘要】 汽车车门内饰柱一般为板型注塑件,在注塑加工过程中不同的注塑工艺参数对整个注塑件的质量和性能有非常大的影响。针对丙烯腈-丁二烯-苯乙烯塑料汽车车门内饰柱的翘曲变形的问题,首先利用响应面模型方法对注塑过程中对翘曲变形影响最大的4个参数:熔体温度、模具温度、保压压力、保压时间进行分析,并拟合得到4个工艺参数与翘曲变形量之间的回归方程。其次在分析所得的回归方程基础上结合人工鱼群算法对工艺参数组合及翘曲变形量进行寻优,最后将寻得的工艺参数组合通过软件仿真验证。结果表明,采用此优化方法后内饰柱翘曲变形下降14.2%,并且算法寻优结果与Moldflow仿真结果仅相差1.6%,证明优化方法在车门内饰柱注塑工艺优化过程中有较好的效果。

【Abstract】 The car door interior column is usually a plate type injection molding part. The different injection molding process parameters have a great influence on the quality and performance of the whole injection molding part. Aiming at the warping deformation of acrylonitrile butadiene styrene plastic car door interior column,the response surface model was used to analyze the four parameters that have the greatest influence on the warping deformation during injection molding:melt temperature,mold temperature,pressure holding and pressure holding time,and the regression equation between the four process parameters and the warping deformation was obtained by fitting. Secondly,on the basis of the regression equation obtained by the analysis and the artificial fish swarm algorithm,the process parameter combination and the warpage deformation were optimized. Finally,the process parameter combination was verified by software simulation. The results show that the warping deformation of the interior column decreases by 14.2% after the optimization method is adopted,and the difference between the optimization results of the algorithm and the simulation results of Moldflow is only 1.6%,which proves that the optimization method in this paper has a good effect in the optimization process of the injection molding process of the interior column of the door.

  • 【文献出处】 工程塑料应用 ,Engineering Plastics Application , 编辑部邮箱 ,2023年03期
  • 【分类号】TP18;TQ320.662
  • 【下载频次】78
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