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机构地区:[1]武汉大学动力与机械学院,湖北武汉430072
出 处:《工程设计学报》2008年第5期324-329,共6页Chinese Journal of Engineering Design
基 金:国家"十五"重大技术装备研制项目(ZZ02-03-03-01)
摘 要:为了提高复杂产品开发的效率,驾驭复杂产品开发过程各个环节相互关联的复杂性,提出一种基于知识工程的复杂产品开发过程新模型.该模型把知识工程理论融入复杂产品开发全生命周期过程中,通过知识推理技术从数据库和知识库中获取相应开发阶段的知识和数据来驱动和指导整个复杂产品开发过程,以更好地重用设计知识.研究了该模型的关键技术,包括复杂产品开发知识处理技术和基于知识的CAD/CAM/CAE/CAPP集成技术,提出了两种知识处理方法,即基于规则-对象-框架的知识处理方法和基于规则-实例的知识处理方法,并研究了相应的推理算法;以知识库、数据库、规则库和实例库为基础,通过PDM,STEP中型文件、规则、实例和知识等,实现CAD/CAM/CAE/CAPP集成.最后,通过数据库技术、编程语言VC#.NET和CATIA软件实现了隧道掘进机(TBM)主机的快速设计系统,有效地减少了隧道掘进机主机开发的复杂性和缩短开发周期,以TBM主机为应用实例进一步介绍该模型的合理性和有效性.To improve efficiency of complex product development and control complexity of the interaction between every aspects in the complex product development process, a new model of complex product development process is presented based on knowledge based engineering (KBE). The model integrates the theory of KBE into the whole lifecycle development process of complex product. And knowledge reasoning technology can obtain knowledge and data of every developing phase from database and knowledge library to drive and guide complex product developing process to better reuse knowledge. Moreover, research on the key technologies of the model are condcuted, which includes the technology of developing knowledge processing and CAD/CAM/CAE/ CAPP integrating technology based on KBE. Two knowledge processing methods, knowledge processing based on rule-object-frame and knowledge processing based on rule-case, are proposed, and its reasoning algorithms are researched; based on knowledge library, database, rule- base and case-base, CAD/CAM/CAE/CAPP is realized to integrate PDM, STEP neutral file, rules, cases and knowledge etc. Finally, the rapid design system for tunnel boring machine (TBM)main frame can be realized through database technique, programming language VC#. NET and CATIA software. This system effectively reduces the complexity of TBM main frame development and shortens its development cycle. And one application example of TBM main frame is given to verify the validity and reasonability of the model.
分 类 号:TP391.7[自动化与计算机技术—计算机应用技术]
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