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- W2521819755 abstract "Process planning provides a detailed procedure for manufacturing products within the constraint of available resources. Since it affects the quality, cost, and timeliness of the products, it has been recognized as a necessary and important element in the production activity.Process planning requires a vast amount of experiential knowledge. The knowledge-intensive nature of process planning makes it a logical candidate for investigation using artificial intelligence (AI) techniques. These techniques are designed for capturing, representing, organizing, and utilizing knowledge on a computer; hence, they are the key to intelligent process planning. This work is aimed at making a contribution to the methodology of process planning by using AI concepts and techniques.The Cornell Planning eXpert (CPX) system approaches process planning from the perspective of the domain-independent Nonlin planning scheme. It attempts to capture the causal structure of the manufacturing process and is able to express parallelism and alternative operations. Domain-independent planning techniques help in dealing with temporal relationships among operations and in handling sequencing issues systematically.To reduce the reliance on heuristics and to help identify possible contradictions, we use techniques from the area of Reason Maintenance Systems (RMS). The RMS is a powerful tool for enhancing credibility by providing an explanation facility to process plan synthesizers. The RMS also provides a mechanism for conflict-free updating of the heuristics involved in the knowledge-based process planning methodology.CPX is characterized by the following: feature-based description (FBD), synthesis framework (as opposed to diagnostic framework), easy intercommunication between the knowledge base and procedural computation routines, etc. Facilities are provided for more convenient modes of input, viz., interactive and IGES. A standard IGES file created by any CAD system is acceptable. A feature recognition module converts the IGES file to FBD format. Starting from a feature-based description of the part, CPX synthesizes a process plan for machining it. The NC code is generated by a postprocessor. A built-in graphic verification routine is used to visually check the code before downloading it to the machine-tool controller.Several parts from actual industry drawings were used to test the system. The NC programs generated by CPX were run on a Hardinge CHNC II+ machine and found to be satisfactory." @default.
- W2521819755 created "2016-09-30" @default.
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- W2521819755 date "1991-05-01" @default.
- W2521819755 modified "2023-09-28" @default.
- W2521819755 title "Generation of plans for machining operations: a methodology using artificial intelligence" @default.
- W2521819755 hasPublicationYear "1991" @default.
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