注塑成型系统知识库及优化设计方法研究
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摘要
针对目前注塑模设计的复杂性和对专家的依赖性,为提高注塑模的设计效率和专家知识的利用率,对注塑模成型系统知识库进行了研究;在知识库推理的基础上对成型工艺的多目标优化方法进行了研究。
     本文以注塑模成型系统设计为研究对象,以知识工程为理论基础,对注塑模成型系统知识库进行了研究,提出了成型系统基于规则的参数化推理方法,利用成型系统知识库推理结果进行CAE模拟分析,结合优化数学方法对成型工艺进行优化处理,最后开发了注塑模成型系统知识库原型系统。具体如下:
     (1)介绍了知识获取和表示方法的理论,并结合浇注系统、冷却系统、成型工艺系统和成型缺陷分析系统的相关知识进行阐述。
     (2)介绍了知识推理的一般方法,提出了成型系统基于规则的参数化推理方法。对基于规则的参数化推理的意义、过程模型和实例进行了详细说明。
     (3)利用成型系统知识库推理,结合CAE模拟技术和数学优化方法对成型工艺参数的多目标优化方法进行介绍,并以具体实例进行了详细说明。
     (4)开发了注塑模成型系统知识库的原型系统,包括知识库维护管理系统和推理系统两个部分。
     本文通过实例证明了将成型系统知识库推理与成型工艺优化方法结合有助于提高注塑模设计效率和优化注塑成型工艺。
In view of complication of injection mould design and dependence onexpert presently, aimed for elevating design efficiency of injection mouldand utilizing efficiency of expert knowledge, knowledge base of injectionmould molding system is researched on; based on knowledge basereasoning, multi-object optimal method on molding process is researchedon.
     This paper takes injection mould molding system design as researchobject, takes knowledge based engineer as theory base, knowledge base ofinjection mould molding system is researched on; parametrisation rulebased reasoning method of molding system is put forward, CAEsimulation analysis is done which makes use of reasoning result fromknowledge base of molding system, molding process is optimized whichintegrates optimal maths method. At last, knowledge base of injectionmould molding system prototype system is developed.
     Firstly, theory of knowledge acquisition and expressing method is introduced, which relative knowledge about runner system、coolingsystem、molding process system and molding defects system is expoundedintegrately.
     Secondly, normal method of knowledge reasoning is introduced,parametrisation rule based reasoning method of molding system is putforward, the significance,course model,case of parametrisation rule basedreasoning method is demonstrated detailedly.
     Thirdly, reasoning of knowledge base of molding system is made useof, multi-object optimal method on molding process is introduced whichintegrates CAE simulating technology and optimal maths method, besides,specific case is demonstrated detailedly.
     Finally, knowledge base of injection mould molding system proto-type system is developed, which includes knowledge base maintaining-managing system and reasoning system.
     According to the case of this paper, it is verified that the integrationof reasoning of knowledge base of molding system and optimal method ofmolding process contributes to elevating design efficiency of injectionmould and optimizing molding process.
引文
[1] 陈嘉真.塑料成型工艺及模具设计[M].北京:机械工业出版社,1994.27-31
    [2] 李名尧.模具CAD/CAM[M].北京:机械工业出版社,2004.100-105
    [3] T. H. Kwon, P. A. Weeks. Expert system Aid for Intelligent molding cooling system design[A]. ASME Computers in Engineering Conference[C], 1999(15): 1-21.
    [4] A. Tolga Bozdana, Development of an expert system for the determination of injection moulding parameters of thermoplastic materials EX-PIMM. Int [J]. Mater. Prod. Technol. 2002(128): 113-122
    [5] Kwong C. K, Simth G. F. Application of cased-based reasoning in injection molding[J]. Material Processing Technology, 1997(63):463-467.
    [6] Shelesh-Nezhad K, Siores E. An intelligent system for plastic injection molding process design[J]. Material Processing Technology. 1997(63):458-462
    [7] H. WANG, X. H. Zhou and X. -Y. Ruan. Research on Injection Mould Intelligent Cost Estimation System and Key Technologies[J]. Advanced Manufacturing Technology. 2003(3): 215-222
    [8] B. H. M. Sadeghi, A BP-neural network predictor model for plastic injection molding process[J], Journal of Materials Processing Technology, 103 (2000) 411-416
    [9] Shih-Hsing Chang, Jiun-Ren Hwang, Ji-Liang Doong, Optimization of the injection molding process of short glass fiber reinforced polycarbonate composites using grey relational analysis[J], Journal of Materials Processing Technology, 97(2000) 186-193
    [10] Athanasios Bikas, Nikos Pantelelis, Andreas Kanarachos, Computational tools for the optimal design of the injection moulding process[J], Journal of Materials Processing Technology, 122 (2002) 112-126
    [11] C. L. Li, A feature-based approach to injection mould cooling system design[J], Computer-Aided Design, 33(2001) 1023-1034
    [12] Yong-jun Hua, Sang-gook Kim. A knowledge-based CAD system for concurrent product design in injection moulding[J], Int. J. Computer Integrated Manufacturing, 1991,4(4): 209-218
    [13] E. H. Niclsen, J. R. Dixon, M. K. Simmons. GERES: A knowledge-based material selection program for injection molded resins[J], ASME Computers in Engineering Conference, 1986,255-261
    [14] M. Vaghul, J. R. Dixon, et al, Expert system in a CAD environment: injection molding part design as an example[A], ASME Computers in Engineering Conference[C], 1985, 77-82
    [15] M. Wiggins. Expert systems in polymer selection [A], SPE 44th Conference[C], 1986, 1393-1395
    [16] M. L. Lovrich, C. L. Tucker. Computer-aided selection of polymeric materials and manufacturing processes [A], SPE 44th Conference[C], 1986, 1388-1392
    [17] 顾正朝,高曙明.并行环境下注塑件智能设计支撑技术研究[J],计算机辅助设计与图形学学报,1999,11(1):39-42
    [18] 周振勇,顾正朝,石教英.注塑模流道系统集成设计技术研究[J],计算机辅助设计与图形学报,2000,12(1):6-10
    [19] Ying S., Ruan X. Y.. Application of Expert system into injection polymer selection[A], Proceeding of the 11th ICRP[C], Hefei, China, 1991
    [20] 李广新.智能旋压工艺设计和加工质量控制的研究:[D].上海交通大学博士论文,1993
    [21] 邓清.模具智能制造中的关键技术研究:[D].上海交通大学博士论文,1997
    [22] 陈焕文.集成化注塑模智能系统CAD研究:[D].上海交通大学博士论文,1992
    [23] 应胜杰,阮雪榆.注射成型塑料材料选择专家系统[J],中国塑料,1991,5(4):50-54
    [24] 李梅梅,申长雨,王亚明.应用模糊综合评判研究成型条件对注塑模流动平衡的影响[J],机械设计与制造,2000,(5):4244
    [25] 韩学钊.工程塑料零件CAPP的研究与开发[J],工程塑料应用,1995,23(1):41-47
    [26] 陈晓平.薄壳件注塑成型工艺参数优化研究[D].浙江大学硕士论文,2005.1
    [27] 刘仲杰.基于试验设计的注塑成型工艺参数优化方法研究[D].华中科技大学硕士论文,2005.9
    [28] 刘春太.基于数值模拟的注塑成型工艺优化和制品性能研究[D].郑州大学博士论文,2003.5
    [29] 杨炜.基于混合智能技术的注塑成型工艺优化的研究[D].浙江大学硕士论 文,2005.1
    [30] 王蓓,王利霞,李倩.基于神经网络的注塑成型工艺优化[J].塑料工业,2003,(5):31-34
    [31] 王利霞,杨杨,王蓓.注塑成型工艺参数对体积收缩率变化的影响及工艺参数优化[J].塑料工业,2004,(2):173-176
    [32] 王德翔,刘来英,王振宝.基于人工神经网络技术的注塑成型工艺参数优化[J].模具技术,2001,(6):1-4
    [33] 王共冬,刘文剑,金天国.计算机辅助树脂传递模塑成型工艺系统研究[J].计算机集成制造系统,2005,(5):646-651
    [34] 贾焰,王志英.知识库系统原理与技术[M].长沙:国防科技大学出版社,1993
    [35] 王文广,田宝善,田雁晨.塑料注射模具设计技巧与实例[M].北京:化学工业出版社,2004
    [36] 屈华昌.塑料成型工艺与模具设计[M].北京:高等教育出版社,2005
    [37] 宋玉恒.塑料注射模具设计实用手册[M].北京:航空工业出版社,1994
    [38] 李德群,唐志玉主编.中国模具设计大典:第2卷,轻工模具设计[M].中国机械工程学会,中国模具设计大典编委会.南昌:江西科学技术出版社,2003.1
    [39] 单岩,王蓓,王刚.Moldflow模具分析技术基础[M].北京:清华大学出版社,2004
    [40] 王刚,单岩.Moldflow模具分析应用实例[M].北京:清华大学出版社,2005
    [41] 马少平,朱小燕.人工智能[M].北京:清华大学出版社,2004.130-138
    [42] 张仰森,黄改娟.人工智能实用教程—同等学历申请硕士学位综合考试课程指导[M].北京:希望电子出版社,2002.39-41
    [43] 邢传鼎,任庆生,杨家明.人工智能原理及应用[M].上海:东华大学出版社,2005
    [44] 童秉枢.现代CAD技术[M].北京:清华大学出版社,2000
    [45] 朱福喜,汤怡群,傅建明.人工智能原理[M].武汉:武汉大学出版社,2002
    [46] 高建洪,胡志华,卫华萍.AutoCAD环境下参数化模型的开发与应用[J].精密制造与自动化,2006,(4):46-47
    [47] 李志红.运用AutoCAD实现图形库的参数化绘制[J].现代机械,2006,(5):32-34
    [48] 童秉枢.机械CAD技术基础[M].北京:清华大学出版社,1996
    [49] 马伏波.用VBA开发在AutoCAD中实现参数化绘图的系统[J].机床与液压,2004,(1):95-96
    [50] 申长雨,陈静波,刘春太.塑料模CAE技术发展概况[J].模具工业,2001,(1):51-56
    [51] 石明洪,骆志高.注塑模CAD/CAE/CAM的研究现状与发展方向[J].江苏理工大学学报,1998,(11):25-30
    [52] 申长雨,陈静波,刘春太.注塑成型制品的质量控制[J].工程塑料应用,1999,(8):33-37
    [53] 景克义.影响塑件注射成型质量的因素分析及对策[J].塑料注射模技术,2005,(9):33-36
    [54] 江昌勇.建立注射成型的质量保证体系[J].模具工业,1996,(8):46-49
    [55] 许荔珉.注塑成型质量缺陷分析[J].模具技术,2005,(2):43-46
    [56] 田胜元,萧日嵘.实验设计与数据处理[M].北京:中国建筑工业出版社,1988
    [57] T. James Wang. Effects of process conditions on shrinkage and warpage in the injection molding process, ANTEC'99, 1999: 584~588
    [58] 张志莲,江波.注射成型工艺参数间的交互作用[J].化工学报,2006,(2):449-452
    [59] 于亚丽.如何运用极差判断分析方法准确度[J].松辽学报,1999,(3):98-99
    [60] 彭祖赠,孙韫玉.模糊(Fuzzy)数学及应用[M].武汉:武汉大学出版社,2002
    [61] 李海梅,申长雨,王亚明.应用模糊综合评判研究成型调节对注塑模流动平衡的影响[J].机械设计与制造,2000,(5):42-43
    [62] 薛茂根,顾敏童,林杰人.船舶主要参数多目标正交优化设计的模糊分析[J].船舶工业,1994,(4):20-27
    [63] 刘来英,注塑成型工艺[M].北京:机械工业出版社,2005
    [64] 袁阳.PowerBuilder 8.0实例入门[M].北京:中国青年出版社,2002
    [65] 张晋西.Visual Basic与AutoCAD二次开发[M].北京:清华大学出版社,2002
    [66] 闪四清.SQL Server 7.0系统管理和应用开发指南[M].北京:清华大学出版社,2000

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