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Application of Automated Context-Based DSS for Determining CNC Machining Parameter
Author(s) -
Wikan Sakarinto,
Setyawan Bekti Wibowo,
Hiroshi Narazaki,
Keiichi SHIRASE
Publication year - 2012
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2012.p0765
Subject(s) - machining , context (archaeology) , numerical control , task (project management) , computer science , resource (disambiguation) , decision support system , engineering drawing , expert system , manufacturing engineering , engineering , mechanical engineering , data mining , systems engineering , artificial intelligence , paleontology , biology , computer network
This paper describes the implementation of proposed KBS automatically aware of context or constraints in which the user has to deal with to come up with intel¬ligent DSS. Context is a fundamental information re¬source that has to do closely with the use of knowledge. The proposed KBS is equipped with the Expert System (ES) providing Decision Support System (DSS), aimed for realizing effective utilization of captured CNC op¬erator knowledge when they assess machining param¬eters within product data. The newest module in the proposed KBS is equipped with automated context-based DSS constructed from incoming task restraints and other related machining aspects, such as machin¬ing parameter values, cutting tool, workpiece mate¬rial, etc. In this work, the discussions are focussing on CNC milling operations. According to the implemen¬tation result, CNC operators have shown enhanced ac¬curacy on dening machining parameter values with respect to specic constraints.

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