Abstract
This paper addresses the concept of the Expert system approach for CASD/CAM integration and optimization of product design and manufacturing in computer base concurrent engineering environment. The Expert system links with design and manufacturing databases. The design specification is acquired through a feature based approach. The Expert system links with material, tools, CNC machine center data and databases. For each design feature, the expert system provides information needed for design and manufacturing optimization. The expert system can be used as an advisory system for designers and manufacturing engineers using STEP (standard for exchange of product data) AP224 standard. and also for new CNC machine center operators. A designer uses proengineers software and feature base library and design a part. Design data stored in data base according to international standard STEP format. All suppliers can used the latest design data through computer network system and STEP design data. The result of table 1 shows that the expert system estimates correctly machining cycle time and cost and penetration rate. In practical, estimation of machining time and cost, feeds and all other parameters are difficult to obtain. In contrast the expert system can provide this estimation usually in less than 20 seconds.
Highlights
To be competitive in the market, industries must deal with the world-wide challenges in producing high-quality goods at low costs
The inference engine and facilities for representing knowledge and for explaining are programmed, and the domain knowledge is entered into the program piece by piece
The discovery and cumulation of knowledge of a task domain is the province of domain experts
Summary
To be competitive in the market, industries must deal with the world-wide challenges in producing high-quality goods at low costs. The piece of knowledge represented by the production rule is relevant to the line of reasoning being developed if the IF part of the rule is satisfied; the part of rules can be concluded, or its problem-solving action taken This Expert system whose knowledge is represented in rule form is called rule-based systems. If the conclusion is known (for example, a goal to be achieved) but the path to that conclusion is not known, reasoning backwards is called for, and the method is backward chaining These problem-solving methods are built into program modules called inference engines or inference procedures that manipulate and use knowledge in the knowledge base to form a line of reasoning for design and manufacturing. A knowledge engineer is a computer scientist who knows how to design and implement programs that incorporate artificial intelligence techniques
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