An expert mill cutter selection system

Rubio, Luis and De la Sen, Manuel and Ibeas, Asier; (2005) An expert mill cutter selection system. In: 10th IEEE Conference on Emerging Technologies and Factory Automation, 2005. IEEE, Piscataway, New Jersey, pp. 961-968. ISBN 0780394011

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Abstract

This paper discusses the selection of tools in milling operations. To carry out this research, it has been developed an expert system hinged on numerical methods. The knowledge base is given by limitations in process variables, which let us to define the allowable cutting parameter space. The mentioned process variables are, instabilities due to tool-work-piece interaction, knowing as chatter vibration, and the power available in the spindle motor. Then, a tool cost model is contrived. It is used to choose the suitable cutting tool, among a known set of candidate available cutters, and to obtain the appropriate cutting parameters, which are the expert system outputs. An example is presented to illustrate the method.