针对成型件收缩率的塑料注射成型工艺参数优化

A. Ahmad, M. S. Wahab, A. S. Shah, K. Kamarudin, H. Hehsan
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引用次数: 4

摘要

塑料注射成型工艺是制造塑料部件的一种常用方法。为了生产出高质量的模压件,加工参数是模压工考虑的重要标准。在本研究中,采用田口法优化聚丙烯(PP)成型零件的收缩成型工艺参数。实验工作采用L9(34)正交阵列(OA)矩阵设计,然后进行信噪比(S/N)和方差分析(ANOVA)研究。利用三坐标测量机(CMM)测量成型件的尺寸直径,计算缩水率。基于信噪比分析,外径收缩的优化工艺参数为模具温度45℃、熔体温度250℃、注射时间0.72 S、注射压力22 MPa。方差分析结果表明,模具温度是影响收缩的最显著因素,对收缩的贡献率为37.58%。最后,使用优化的加工参数进行确认试验,获得的收缩率为1.55%。塑料注射成型工艺是制造塑料部件的一种常用方法。为了生产出高质量的模压件,加工参数是模压工考虑的重要标准。在本研究中,采用田口法优化聚丙烯(PP)成型零件的收缩成型工艺参数。实验工作采用L9(34)正交阵列(OA)矩阵设计,然后进行信噪比(S/N)和方差分析(ANOVA)研究。利用三坐标测量机(CMM)测量成型件的尺寸直径,计算缩水率。基于信噪比分析,外径收缩的优化工艺参数为模具温度45℃、熔体温度250℃、注射时间0.72 S、注射压力22 MPa。方差分析结果表明,模具温度是影响收缩的最显著因素,对收缩的贡献率为37.58%。
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Optimization of processing parameters for plastic injection moulding process towards moulded part shrinkage
Plastic injection moulding process is a popular method to manufacture plastic components. In order to produce good quality moulded parts, processing parameters are important criteria to consider by moulders. In this study, optimization by Taguchi method was used to optimise moulding processing parameters towards shrinkage of a Polypropylene (PP) moulded part. The experimental works were performed according to matrix design of L9 (34) orthogonal array (OA), followed by signal to noise (S/N) ratio and analysis of variance (ANOVA) study. The shrinkage was calculated by measuring the dimension diameter of moulded part using a coordinate measuring machine (CMM). Based on the signal to noise (S/N) ratio analysis, the optimised processing parameters for outer diameter shrinkage were mould temperature at 45°C, melt temperature at 250°C, injection time at 0.72 s and injection pressure at 22 MPa. Referring to ANOVA result, the mould temperature was most significant factor with 37.58% contribution towards the shrinkage. Finally, the obtained shrinkage was 1.55% for the confirmation test using the optimised processing parameters.Plastic injection moulding process is a popular method to manufacture plastic components. In order to produce good quality moulded parts, processing parameters are important criteria to consider by moulders. In this study, optimization by Taguchi method was used to optimise moulding processing parameters towards shrinkage of a Polypropylene (PP) moulded part. The experimental works were performed according to matrix design of L9 (34) orthogonal array (OA), followed by signal to noise (S/N) ratio and analysis of variance (ANOVA) study. The shrinkage was calculated by measuring the dimension diameter of moulded part using a coordinate measuring machine (CMM). Based on the signal to noise (S/N) ratio analysis, the optimised processing parameters for outer diameter shrinkage were mould temperature at 45°C, melt temperature at 250°C, injection time at 0.72 s and injection pressure at 22 MPa. Referring to ANOVA result, the mould temperature was most significant factor with 37.58% contribution towards the shrink...
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