文章摘要
注塑成型工艺参数自动设置与优化技术
Automatic Setting and Optimization of Injection Molding Process Parameters
Received:September 16, 2015  Revised:January 10, 2016
DOI:10.3969/j.issn.1674-6457.2016.01.002
中文关键词: 注塑成型  工艺参数设置  工艺参数优化  智能技术
英文关键词: injection molding  process parameters setting  process parameters optimization  intelligent techniques
基金项目:
Author NameAffiliation
ZHOU Hua-min State Key Lab of Material Processing and Die & Mold Technology Huazhong University of Science and TechnologyWuhan 430074 China 
GAO Huang State Key Lab of Material Processing and Die & Mold Technology Huazhong University of Science and TechnologyWuhan 430074 China 
ZHANG Yun State Key Lab of Material Processing and Die & Mold Technology Huazhong University of Science and TechnologyWuhan 430074 China 
LI De-qun State Key Lab of Material Processing and Die & Mold Technology Huazhong University of Science and TechnologyWuhan 430074 China 
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中文摘要:
      工艺参数是注塑制品质量的决定性因素之一, 其设置与优化一直强烈依赖于工艺人员的经验与水平。工艺参数的自动设置与优化方法研究具有重要的意义, 但需要克服工艺参数数量多,与制品、 模具、 材料耦合强, 难以精确建模的难题。近年来, 越来越多的研究, 尝试采用计算机仿真技术在模拟计算方面的优势, 以及智能技术在处理强经验、 弱理论领域的优势, 来解决该难题。按所采用技术方法的不同, 可以分为基于仿真计算的优化、 专家系统或实例推理以及实验设计与优化。对上述3类注塑工艺参数的自动设置与优化技术的研究现状进行了综述, 介绍了3类注塑成型工艺的特点和局限性, 并对今后的研究方向给出了建议。
英文摘要:
      Process parameters are one of decisive factors impacting the quality of injection-molded parts. Setting and optimization of them strongly rely on molding personal′s experience and capability. Automatic setting and optimization of process parameters are significant. However,many efforts must take to overcome difficulties in dealing with so many process parameters,which are strongly coupled with characteristics of parts,molds and materials. In recent years,in order to solve those difficulties,a growing number of studies have attempted to use computer simulation and artificial intelligence technology, which is superior in computing and tackling strong-experience and weak-theory problems respectively. According to methods,there are three categories:optimization based on simulation and computation,expert systems or case-based reasoning,and Experiment design & optimization. This article focuses on studies of these methods for automatic parameter setting and optimization in injection molding.
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