An expert mill cutter and cutting parameters selection system incorporating a control strategy

Luis Rubio, Manuel De la Sen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

In this paper, remove material processes are taking into account for developing an expert mill cutter and cutting parameters selection system based on numerical methods of performance evaluation. The knowledge base is given by limitations in process variables, which let us to define the allowable cutting parameter space. The mentioned limitations lead to instabilities limitations due to tool-work-piece interaction, known as chatter vibrations. The power available in the spindle motor and milling force control restrictions are also considered as process limitations. Besides, an additional term is taken into consideration in order to be sure of avoiding chatter vibrations when the programmed spindle speed varies due to spindle deflections or perturbations. Then, a novel tool cost model is contrived. It is used to choose a suitable tool, among a known set of candidate available cutters, and to obtain the appropriate cutting parameters in an optimal way. Once the tool and the cutting parameters are obtained, the developed system is able to redefine the cutting parameters automatically if new considerations about machinery data are required through expert rules. Such optimal cutting parameters can be obtained by manipulating the cost function weighting factors. An example is presented in order to illustrate the method.
Original languageEnglish
Title of host publicationProceedings of the 17th IFAC World Congress, 2008. International Federation of Automatic Control IFAC, COEX
Number of pages8
DOIs
Publication statusPublished - Jul 2008

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Keywords

  • procedures for process planning
  • production planning and control
  • intelligent manufacturing systems
  • control strategy

Cite this

Rubio, L., & De la Sen, M. (2008). An expert mill cutter and cutting parameters selection system incorporating a control strategy. In Proceedings of the 17th IFAC World Congress, 2008. International Federation of Automatic Control IFAC, COEX https://doi.org/10.3182/20080706-5-KR-1001.01414