Application of Automated Context-Based DSS for Determining CNC Machining Parameter
Wikan Sakarinto*, Setyawan Bekti Wibowo*, Hiroshi Narazaki**,
and Keiichi Shirase***
*Diploma Program of Mechanical Engineering, Gadjah Mada University, Jl. Yacaranda, Sekip Unit IV, Yogyakarta 55281, Indonesia
**Production System Laboratory, Kobe Steel, Ltd, 5-5 Takatsukadai 1-chome, Nishi-ku, Kobe 651-2271, Japan
***Department of Mechanical Engineering, Graduate School of Engineering, Kobe University, 1-1 Rokko-dai, Nada, Kobe 657-8501, Japan
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 intelligent DSS. Context is a fundamental information resource that has to do closely with the use of knowledge. The proposedKBS is equipped with the Expert System (ES) providing Decision Support System (DSS), aimed for realizing effective utilization of captured CNC operator knowledge when they assess machining parameters within product data. The newest module in the proposed KBS is equipped with automated contextbased DSS constructed from incoming task restraints and other related machining aspects, such as machining parameter values, cutting tool, workpiece material, etc. In this work, the discussions are focussing on CNC milling operations. According to the implementation result, CNC operators have shown enhanced accuracy on defining machining parameter values with respect to specific constraints.
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