基于某款汽车遥控器外壳高温快速成型工艺优化
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摘要
以某款汽车遥控器外壳为例,结合计算机辅助工程、正交试验和方差分析研究了影响高温快速成型产品质量的工艺参数。结果表明:熔体温度对体积收缩率的影响最显著,其次是模具温度、注射压力、转保压力、注射时间。保压压力、保压时间和冷却时间对体积收缩率影响不大。选取熔体温度、模具温度、注射压力、注射时间、转保压力5个工艺参数建立多元回归产品质量预测模型,并通过实例验证算法的可行性,为高温快速成形工艺优化提出了一条新思路。
The process parameters influencing product quality of rapid heat cycle molding technology were studied in combination of computer aided engineering, orthogonal experiments and variance analysis based on a certain car remote control shell. The results showed that the effect of melt temperature on the volume shrinkage was the most significant followed by mold temperature, injection pressure, holding pressure and injection time. The packing pressure, packing time and cooling time had less influences on the volume shrinkage. A multiple regression product quality prediction model was established by means of selecting the process parameters of melt temperature, mold temperature, injection pressure, injection time and holding pressure. A new idea was proposed for the process optimization of the rapid heat cycle molding technology through validating the feasibility of the experiments by some examples.
The process parameters influencing product quality of rapid heat cycle molding technology were studied in combination of computer aided engineering, orthogonal experiments and variance analysis based on a certain car remote control shell. The results showed that the effect of melt temperature on the volume shrinkage was the most significant followed by mold temperature, injection pressure, holding pressure and injection time. The packing pressure, packing time and cooling time had less influences on the volume shrinkage. A multiple regression product quality prediction model was established by means of selecting the process parameters of melt temperature, mold temperature, injection pressure, injection time and holding pressure. A new idea was proposed for the process optimization of the rapid heat cycle molding technology through validating the feasibility of the experiments by some examples.
引文
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[15]卓金武,魏永生,秦健,等.MATLAB在数学建模中的应用[M].北京:北京航空航天大学出版社,2013:1.
[2]潘丽军,陈锦权.试验设计与数据处理[M].南京:东南大学出版社,2008:2.
[3]刘东雷,辛勇.高光注射成型工艺特性研究:翘曲、收缩与沉降指数[J].中国塑料,2009,23(3):70-76.
[4]刘东雷,辛勇.基于综合平衡法的RHCM成型LCD电视机前面壳工艺优化研究[J].中国塑料,2008,22(11):70-75.
[5]葛娜,辛勇.LCD电视机前面壳高光成型CAE分析及参数优化[J].塑料,2009,38(2):112-114.
[6]苏开华,陈锋.注塑成型温度对PP制品收缩率的影响[J].现代塑料加工应用,2005,17(6):25-27.
[7]刘东雷,辛勇.基于多指标综合评价策略的快速冷热成型工艺优化研究[J].中国塑料,2008,22(12):71-75.
[8]罗华云,邱国旺,卢齐英.基于BP神经网络的高光无流痕成型工艺优化[J].塑料,2012,41(6):81-83.
[9]申长雨,王利霞,陈静波,等.基于CAE技术的注塑模具设计[J].中国塑料,2002,16(1):74-78.
[10]Chang J-H,Yang S-Y.Development of fluid-based heating and pressing systems for micro hot embossing[J].Microsystem Technology,2005,11(6):396-403.
[11]单锋,朱丽梅,田贺民.数学建模算法与应用[M].北京:国防工业出版社,2011:8.
[12]黄邦菊,林俊松,郑潇雨,等.基于多元线性回归分析的民用运输机场旅客吞吐量预测[J].数学的实践与认识,2013,43(4):172-178.
[13]Yu Ming-Ching,Young Wen-Bin,Hsu Pe-Ming.Micro-injection molding with the infrared assisted mold heating system[J].Material Science and Engineering A,2007,460/461(7):288-295.
[14]Saito Takushi,Satoh Isao,Kurosaki Yasuo.A new concept of active temperature control for an injection molding process using infrared radiation heating[J].Polymer Engineering and Science,2002,42(12):234-241.
[15]卓金武,魏永生,秦健,等.MATLAB在数学建模中的应用[M].北京:北京航空航天大学出版社,2013:1.