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Volume & Issue no: Volume 3, Issue 11, November 2014

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Title:
Ontology for CAD/CAM Integration
Author Name:
Basel Alsayyed Ahmad
Abstract:
ABSTRACT CAD/CAM integration has been an open ended problem for the factory automation. Many approaches have been followed to make the full integration, such as Computer Aided Process Planning (CAPP), and Form Feature (FF) approaches. Among other approaches those two approaches made the biggest impact however, they became shorter than the full integration. In CAPP, there are two methodologies, one is the variant and the other is the generative, which is used for the integration. In FF, a geometric feature is mapped to a manufacturing feature in a logical order. The geometric parameters of the geometric features are used as the base for the mapping and other manufacturing parameters are either defined at the process level or deduced from the geometric parameters. The problem with the above approaches is that it does not have all the aspects of manufacturing process and all other manufacturing environment aspects. The problem is data management for both CAD and CAM. Software developed to integrate CAD/CAM have many shortcomings due to the limitations of the knowledge representation and maintenance. Ontology is fairly new logy that has been used in many areas to model very complex problems in aircraft, automotive industries as well as in medical and other fields. Ontology, is the logy of defining knowledge domains thoroughly in plain English, then predefine the relations among the different entities in a domain. In this paper, a meta model will be developed using the ontology approach to demonstrate the solution for the CAD/CAM integration problem. An example of manufacturing process will be used to look at its different aspects of CAD/CAM. Keywords:-ontology, knowledge modeling, CAD/CAM modeling, process modeling, CAD/CAM integration, CIM
Cite this article:
Basel Alsayyed Ahmad , " Ontology for CAD/CAM Integration" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 11, November 2014 , pp. 416-422 , ISSN 2319 - 4847.
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