Research Of Process Planning Based On Case Inductive Reasoning And Integrated CAPP System

CAPP (computer aided process planning) has been attached importance broadly along with the development of manufacturing technology. The existing problem in current CAPP research work is analyzed. Some key technique problems in CAPP are studied. The realizing methods of CAPP in integration system are investigated for manufacture enterprise informalization problem with order and disperse features, based on which, a PDM/CAPP/MRPII integration system is developed. The main researches in the paper are:Machining feature recognition technology in 2D drawing based on CAD data model is researched in order to resolve the information-integrating problem between CAD and CAPP. The semantic information in 2D drawing is analyzed. Based on pattern recognition theory, the basic drawing entities are considered as the pattern cell and the relationship between entities is selected as operational rules. Then the pattern classes are established based on grammar structure and the universal recognition process is accomplished based on syntax analyzing and matching principles.Knowledge acquisition of process planning based on case inductive reasoning is researched in the paper. The self-learning problem of process planning network is put forward based on dynamic classification. The limitation of prior sorting of group technology based on comparability principle is discussed. Process state space description, workpiece state description, distiction features and dynamic clustering rules are studied based on matching learning principle in artificial intelligence. Learning and classification of process rules and process planning network are realized by the self- learning capability in the process planning process procedure. In the process of learning, several classes and feature descriptions of each class are generated automatically according to the clustering rules. In the process of process planning, the system will match...