超薄平板塑件注射成型质量多目标优化

殷素峰; 阮育煌; 阮锋

doi:10.13433/j.cnki.1003-8728.2017.0217

超薄平板塑件注射成型质量多目标优化

doi: 10.13433/j.cnki.1003-8728.2017.0217

1.
河北科技大学机械工程学院, 石家庄 050018;
2.
东莞理工学院城市学院机电工程系, 广东东莞 523419;
3.
东莞市奕东电子有限公司, 广东东莞 523125;
4.
华南理工大学机械与汽车工程学院, 广州 510641

基金项目:

广东省教育部产学研结合项目（2011B090400381）、广东省省建设现代化产业体系技术创新滚动计划项目（2009863024）及广东省教育厅民办教育专项项目资助

详细信息

作者简介:
殷素峰(1971-),讲师,博士,研究方向为模具计算机技术及特种塑性成型,1042784725@qq.com

计量
- 文章访问数: 173
- HTML全文浏览量: 23
- PDF下载量: 6
- 被引次数: 0
出版历程
- 收稿日期: 2015-06-11
- 刊出日期: 2017-02-05

Multi-objective Optimization of Quality in Injection Molding of Ultra-thin Plate Plastic Parts

1.
School of Mechanical Engineering, Hebei University of Science & Technology, Shijiazhuang 050018, China;
2.
City College of Dongguan University of Technology, Guangdong Dongguan 523419, China;
3.
Dongguan Yidong Electronic Co., Ltd, Guangdong Dongguan 523125, China;
4.
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China

摘要

摘要: 将翘曲度、平面度、尺寸精度作为超薄平板塑件质量管控目标，基于Kriging方法建立了各质量目标与工艺变量之间的数学模型，并采用NSGA-II（非支配排序遗传算法II）遗传算法获得质量多目标的Pareto解集，然后通过Vague评估方法，在Pareto解集寻求满足设计要求的最优解，实现了超薄塑件成形质量的多目标优化。将优化过程应用于超薄导光板生产实践，大幅度提高了产品成型精度，增强了生产过程的稳健性，证实了优化过程的正确性与有效性，为超薄塑件的生产实践提供了可靠的理论方法。
- 注塑成型 /
- 成型精度 /
- 优化 /
- Kriging模型 /
- NSGA-II遗传算法
Abstract: Applying warp, flatness, size accuracy as an objective of quality in injection molding of ultra-thin plate plastic parts, models were established between the quality objective and the process variables which were based on Kriging method. And, with the NSGA-II (Non-dominated Sorting Genetic Algorithm II), a Pareto-optimal solution of quality multi-objectives was obtained. After that, the optimal solution which met the design requirements would be sought by using the vague evaluation, which realized the multi-objectives optimization of quality in the injection molding of ultra-thin plastic parts. The optimization process was applied to the ultra-thin light guide production practice which would greatly improve the molding precision and enhance the robustness of the injection molding process as well as prove the correctness and effectiveness of the optimization process, and provide a reliable theoretical method for the ultra-thin plastic parts manufacturing.
- injection molding /
- molding accuracy /
- optimization /
- kriging model /
- NSGA-II genetic algorithms

HTML全文

参考文献(15)

[1]	白杨,柳和生.注射成型工艺参数对聚丙烯制品翘曲的影响及机理研究[J].中国塑料,2009,23(5):76-79 Bai Y, Liu H S. Effect of injection molding parameters on warpage of polypropylene product and its causation[J]. China Plastics, 2009,23(5):76-79 (in Chinese)
[2]	王利霞,杨杨,王蓓,等.注塑成型工艺参数对制品体收缩率变化的影响及工艺参数优化[J].高分子材料科学与工程,2004,20(2):173-176 Wang L Y, Yang Y, Wang B, et al. Investigation of the influence of processing parameter on volumetric shrinkage variation of plastic injection molded parts and process optimization[J]. Polymer Materials Science and Engineering, 2004,20(2):173-176 (in Chinese)
[3]	许建文,刘斌.注塑件体积收缩率变化的数值模拟优化与预报[J].华侨大学学报(自然科学版),2010,31(3):241-245 Xu J W, Liu B. Optimization and forecast of numerical simulation of volumetric shrinkage variation for injection molding products[J]. Journal of Huaqiao University (Natural Science), 2010,31(3):241-245 (in Chinese)
[4]	Wimberger-Friedl R, Prast G, Kurstjens A V, et al. Measurement of the density distributions in quenched polycarbonate specimens by a quantitative Schlieren optical technique[J]. Journal of Polymer Science, Part B:Polymer Physics, 1992,30(1):83-90
[5]	Kurtaran H, Erzurumlu T. Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2006,27(5):468-472
[6]	徐征,王继章,吕治斌,等.工艺参数对平板微小器件注塑翘曲的影响[J].光学精密工程,2013,21(7):1825-1830 Xu Z, Wang J Z, Lü Z B, et al. Effect of processing parameters on warpage of flat micro-mini parts in injection molding[J]. Optics and Precision Engineering, 2013,21(7):1825-1830 (in Chinese)
[7]	Li Y Q, Cui Z S, Ruan X Y, et al. CAE-based six sigma robust optimization for deep-drawing process of sheet metal[J]. The International Journal of Advanced Manufacturing Technology, 2006,30(7-8):631-637
[8]	邓乾旺,文文.基于拉丁超立方抽样的薄板装配误差分析[J].中国机械工程,2012,23(8):947-951 Deng Q W, Wen W. Sheet metal assembly deviation analysis based on Latin hypercube sampling[J]. China Mechanical Engineering, 2012,23(8):947-951 (in Chinese)
[9]	Lophaven S N, Nielsen H B, Sondergaard J. DACE:a MATLAB kriging toolbox Version 2.0[M]. Denmark:Technical University of Denmark, 2002
[10]	Deb K, Pratap A, Agarwal S, et al. A fast and elitist multi-objective genetic algorithm:NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002,6(2):182-197
[11]	管成,彭华.基于非线性函数的注塑机注射压力模糊控制[J].浙江大学学报(工学版),2011,45(8):1382-1386 Guan C, Peng H. Fuzzy control of injection pressure of injection molding machines based on a nonlinear function[J]. Journal of Zhejiang University (Engineering Science), 2011,45(8):1382-1386 (in Chinese)
[12]	Chen S M, Tan J M. Handling multicriteria fuzzy decision-making problems based on vague set theory[J]. Fuzzy Sets and Systems, 1994,67(2):163-172
[13]	Maeda H, Murakami S. A fuzzy decision-making method and its application to a company choice problem[J]. Information Sciences, 1998,45(2):331-346
[14]	Huang M C, Tai C C. The effective factors in the warpage problem of an injection-molded Part with a thin shell feature[J]. Journal of Materials Processing Technology, 2001,110(1):1-9
[15]	陈巍,周雄辉,张汝珍,等.基于Kriging代理模型的注塑产品翘曲优化[J].上海交通大学学报,2010,44(4):588-592 Chen W, Zhou X H, Zhang R Z, et al. Warpage optimization for injection molding based on Kriging metamodel[J]. Journal of Shanghai Jiaotong University, 2010,44(4):588-592 (in Chinese)