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自动化传感器外壳注塑成型工艺优化研究 被引量:2

Study on Optimization of Injection Molding Process of Automatic Sensor Shell
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摘要 为了提高自动化传感器外壳的成型质量,利用Moldflow软件对制件的翘曲变形进行分析,建立响应面模型,以模具温度、熔体温度、保压压力以及冷却时间为自变量,制件的翘曲变形量为响应目标。结果表明:制件的模具温度33℃,熔体温度249℃,保压压力122 MPa,冷却时间20 s,制件的翘曲变形量最小为0.2881 mm,预测值为0.2954 mm,实际值与预测值误差为2.47%,满足要求。四个变量的影响因素大小为:熔体温度>冷却时间>模具温度>保压压力,通过Cpk对其进行成型质量分析,得到长、宽、高的Cpk值分别为1.61、1.45、1.32,制件成型质量良好。 In order to improve the forming quality of the automatic sensor shell,Moldflow software was used to analyze the warpage deformation of the part,and the response surface model was established.The mold temperature,melt temperature,holding pressure and cooling time were taken as independent variables,and the warpage deformation of the part was taken as the response target.The results show that the mold temperature of the part is 33℃,the melt temperature is 249℃,the holding pressure is 122 MPa,and the cooling time is 20 s.The minimum warpage deformation of the part is 0.2881 mm,the predicted value is 0.2954 mm,and the error between the actual value and the predicted value is 2.47%,which meets the requirements.The influencing factors of the four variables are as follows:Melt temperature>cooling time>mold temperature>holding pressure.The forming quality is analyzed by Cpk,and the Cpk values of length,width and height are 1.61,1.45 and 1.32,respectively.The forming quality of the part is good.
作者 刘金娥 刘婉慈 LIU Jin'e;LIU Wan-ci(Shijiazhuang Information Engineering Vocational College,Shijiazhuang 050000,China;Hebei Vocational College of Labour Relations,Shijiazhuang 050020,China)
出处 《塑料科技》 CAS 北大核心 2023年第5期95-99,共5页 Plastics Science and Technology
基金 河北省人力资源和社会保障厅课题(JRS-2020-7011)。
关键词 自动化传感器外壳 响应面分析 CPK 成型质量 Automatic sensor shell Response surface Cpk Molding quality
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