Difficulty in generalizing and lack of adapt ability are important factors that hamper a computer aided process planning (CAP P) system from being popular and practical. New manufacturing philosophies such as Concur...Difficulty in generalizing and lack of adapt ability are important factors that hamper a computer aided process planning (CAP P) system from being popular and practical. New manufacturing philosophies such as Concurrent Engineering require special characteristic of a CAPP system. Propose d in this paper is a CAPP framework system for Concurrent Engineering (CAPPFS C E) which can meet the requirements of Concurrent Engineering and whose informati on models, function models and decision logic can be customized by users to form various CAPP application systems. Its function requirements are discussed broadly. An architecture for CAPPFS CE is presented. It is based on abstract in formati on models (AIMs) and abstract function models (AFMs). The kernel is formed by cu stomization interpretation, internal process control and decision engine. A new information modeling and system development method, information element method ( IEM), is introduced to build up AIMs, decision engine, and AFMs and then realize a CAPPFS CE. THCAPP SHELL, a CAPPFS CE developed by IEM, is demonstrated. A CAPP system produced by customizing THCAPP SHELL for complex structural parts i n a concurrent engineering environment is shown.展开更多
文摘Difficulty in generalizing and lack of adapt ability are important factors that hamper a computer aided process planning (CAP P) system from being popular and practical. New manufacturing philosophies such as Concurrent Engineering require special characteristic of a CAPP system. Propose d in this paper is a CAPP framework system for Concurrent Engineering (CAPPFS C E) which can meet the requirements of Concurrent Engineering and whose informati on models, function models and decision logic can be customized by users to form various CAPP application systems. Its function requirements are discussed broadly. An architecture for CAPPFS CE is presented. It is based on abstract in formati on models (AIMs) and abstract function models (AFMs). The kernel is formed by cu stomization interpretation, internal process control and decision engine. A new information modeling and system development method, information element method ( IEM), is introduced to build up AIMs, decision engine, and AFMs and then realize a CAPPFS CE. THCAPP SHELL, a CAPPFS CE developed by IEM, is demonstrated. A CAPP system produced by customizing THCAPP SHELL for complex structural parts i n a concurrent engineering environment is shown.
