This paper describes an activity model for dimensional inspection planning that bridges the gap between product design and the dimensional measurement of manufactured products. Functionally, this model specifies requirements for developing a part of a product data exchange standard that enables design, inspection resource, and measurement data to be exchanged among computer aided design systems...

Recently, extensive efforts have been made on the application of expert system technique to solving the process planning task in the machining domain. This paper introduces a new formal method to design CAPP expert systems. The formal method is applied to provide a contour of the CAPP expert system building technology. Theoretical aspects of the formalism are described and illustrated by an exa...

This paper describes a multiagent architecture for CAD/CAPP/CAM integration for the remote manufacturing of cylindrical parts using Internet, especially through the protocols associated with the World Wide Web. This methodology specifies the modules of the system, and how these modules interact with each other. The methodology is conceived starting from the modeling paradigm based on the synthe...

Computer-aided process planning has been recognized as an important tool for coordinating the different operations involved in making the product. While temporal knowledge is central to the design of efficient and reliable process plans, little attention is given to the integration of process planning and temporal processing and reasoning. To fill the void, we propose in this paper a practical ...

In recent years, collaborative research between academia and industry has intensified in finding a successful approach to take the information from a computer generated drawings of products such as casting dies, and produce optimal manufacturing process plans. Core to this process is feature recognition. Artificial neural networks have a proven track record in pattern recognition and there abil...

In recent years, collaborative research between academia and industry has intensified in finding a successful approach to take the information from a computer generated drawings of products such as casting dies, and produce optimal manufacturing process plans. Core to this process is feature recognition. Artificial neural networks have a proven track record in pattern recognition and there abil...