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Research on the Key Thchnologies of Intelligent CAPP System

Author: MengQingZhi
Tutor: WangJun
School: Yanshan University
Course: Mechanical Manufacturing and Automation
Keywords: CAPP Decision-making process BP neural network Feature machining program options Locating datum selection Genetic Algorithms Process Optimization
CLC: TP391.72
Type: Master's thesis
Year: 2010
Downloads: 237
Quote: 4
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Abstract


Intelligent, integrated CAPP system is the main direction of development , the use of artificial intelligence techniques for decision-making process is the key technology of intelligent CAPP system . This paper studies the artificial intelligence technology used in the calculation of feature processing program selection, positioning reference and routing decision-making. First, we construct an intelligent CAPP system architecture , using a variety of artificial intelligence techniques based on multi- way knowledge work and apply internal and external knowledge base structure solving knowledge and CAPP system between users Contact , the architecture also implements CAD / CAPP integration. In parts of the process of revolution and its processing characteristics of program analysis , based on the decision model to create a feature processing programs , making use of BP neural network to automatically obtain all possible processing part features program , a detailed study of the structure of the neural network , input and output processing method training function and selection of training samples and other issues. Analysis of the rotating body parts locating datum selection factors established based on BP neural network positioning reference selection model , discussed in detail the structure of the neural network , input and output encoding method , the training function and the training sample selection and other issues. Established a process route based on genetic algorithm optimization model , the use of the constraint matrix to represent constraints between processing element , and the constraint matrix automatically generated by the system developed for processing element sequence validation and adjustment algorithms, research based on genetic algorithm process route optimization process , including gene encoding chromosome fitness function design, selection, crossover and mutation . Finally, the use of VC language compiled program , on the above three decision model is validated. And part of the system interface and workflow process decision made ??presentations , process design examples are given to verify the correctness of the decision-making methods and feasibility .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Machine-assisted technology > Machine -aided design (CAD), aided drawing
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