| 基于信噪比与灰色关联分析的注塑工艺参数多目标优化 |
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| 引用本文： | 晏子翔,苗盈,舒海涛,范国庆,马路彬. 基于信噪比与灰色关联分析的注塑工艺参数多目标优化[J]. 合成树脂及塑料, 2021, 38(2): 54-57,61 |
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| 作者姓名： | 晏子翔 苗盈 舒海涛 范国庆 马路彬 |
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| 作者单位： | 无锡职业技术学院 机械技术学院,江苏 无锡 214121;无锡职业技术学院 机械技术学院,江苏 无锡 214121;江苏省智能产线技术及装备工程研究中心,江苏 无锡 214121;郑州大学 机械与动力工程学院,河南 郑州 450001 |
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| 基金项目： | 江苏省高等学校自然科学研究项目(19KJB460025);江苏省产学研合作项目(BY2019043);无锡职业技术学院博士科研启动项目(BT2017-03);无锡职业技术学院校科技创新团队(30593118001)。 |
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| 摘 要： | 以分线器盖为研究对象,基于信噪比和灰色关联分析,提出了一种注塑工艺参数多目标优化方法.针对顶出时的体积收缩率和总翘曲变形量等质量指标要求,建立5因素4水平的正交试验,得到每组实验的质量指标数值及其对应的信噪比.对信噪比进行无量纲化处理后,计算各因素对质量指标的灰色关联系数和灰色关联度.对灰色关联度进行极差分析,得到最优...
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| 关 键 词： | 注塑工艺参数 多目标优化 正交试验 |
Multi-objective optimization for injection molding process parameters based on signal-to-noise ratio and grey relational analysis |
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| Yan Zixiang,Miao Ying,Shu Haitao,Fan Guoqing,Ma Lubin. Multi-objective optimization for injection molding process parameters based on signal-to-noise ratio and grey relational analysis[J]. China Synthetic Resin and Plastics, 2021, 38(2): 54-57,61 |
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| Authors: | Yan Zixiang Miao Ying Shu Haitao Fan Guoqing Ma Lubin |
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| Affiliation: | (School of Mechanical Technology,Wuxi Institute of Technology,Wuxi 214121,China;Jiangsu Intelligent Production Line Technology and Equipment Engineering Research Center,Wuxi 214121,China;School of Mechanical and Power Engineering,Zhengzhou University,Zhengzhou 450001,China) |
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| Abstract: | A multi-objective optimization method based on signal-to-noise ratio and grey relational analysis for injection molding process parameters was proposed with deconcentrator cover as the research object.The orthogonal test of 5 factors and 4 levels was set up to obtain the quality index values and corresponding signal-to-noise ratio of each group to reduce volumetric shrinkage at ejection and total warp deformation.The signal-to-noise ratio was used after dimensionless to calculate the grey correlation coefficient and grey correlation degree of each test factor to the quality index.The range analysis of grey relational degree was carried out to obtain the optimal combination of process parameters.The experimental results show that volumetric shrinkage and total warp deformation at ejection are reduced by 22.04%and 39.47%than those of the default recommended process parameters respectively when the optimal combination of process parameters is applied.The injection molding quality of the deconcentrator cover is improved,which proves the effectiveness of the orthogonal test based on signal-to-noise ratio and grey correlation analysis in the optimization of injection molding process parameters. |
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| Keywords: | injection molding process parameter multi-objective optimization orthogonal test |
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