A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules

Luis Rubio, Manuel De la Sen

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

1 Citation (Scopus)

Abstract

In this paper, remove material processes are 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 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. Moreover, an additional term is taken into consideration in order to be sure of avoiding chatter vibrations when the spindle speed is varied due to spindle deflexions 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. Nevertheless, such optimal cutting parameters can be obtained by introducing into the system production and/or machine tool constraints and/or by manipulating the cost function weighting factors. An example is presented in order to illustrate the method.
LanguageEnglish
Title of host publicationIEEE International Conference on Control Applications, 2008. CCA 2008.
PublisherIEEE
Pages534-539
Number of pages5
ISBN (Print)9781424422227
DOIs
Publication statusPublished - 2008

Fingerprint

Force control
Machine tools
Cost functions
Machinery
Numerical methods
Costs

Keywords

  • optimisation
  • expert systems
  • force control
  • milling machines
  • milling machines
  • production systems
  • constraint optimization
  • control systems
  • cost function
  • differential equations
  • energy consumption
  • machine tools

Cite this

Rubio, L., & De la Sen, M. (2008). A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules. In IEEE International Conference on Control Applications, 2008. CCA 2008. (pp. 534-539). IEEE. https://doi.org/10.1109/CCA.2008.4629680
Rubio, Luis ; De la Sen, Manuel. / A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules. IEEE International Conference on Control Applications, 2008. CCA 2008.. IEEE, 2008. pp. 534-539
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title = "A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules",
abstract = "In this paper, remove material processes are 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 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. Moreover, an additional term is taken into consideration in order to be sure of avoiding chatter vibrations when the spindle speed is varied due to spindle deflexions 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. Nevertheless, such optimal cutting parameters can be obtained by introducing into the system production and/or machine tool constraints and/or by manipulating the cost function weighting factors. An example is presented in order to illustrate the method.",
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author = "Luis Rubio and {De la Sen}, Manuel",
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language = "English",
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Rubio, L & De la Sen, M 2008, A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules. in IEEE International Conference on Control Applications, 2008. CCA 2008.. IEEE, pp. 534-539. https://doi.org/10.1109/CCA.2008.4629680

A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules. / Rubio, Luis; De la Sen, Manuel.

IEEE International Conference on Control Applications, 2008. CCA 2008.. IEEE, 2008. p. 534-539.

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

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AB - In this paper, remove material processes are 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 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. Moreover, an additional term is taken into consideration in order to be sure of avoiding chatter vibrations when the spindle speed is varied due to spindle deflexions 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. Nevertheless, such optimal cutting parameters can be obtained by introducing into the system production and/or machine tool constraints and/or by manipulating the cost function weighting factors. An example is presented in order to illustrate the method.

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Rubio L, De la Sen M. A procedure to obtain mill cutter and cutting parameters using parameter optimization under constraints and expert rules. In IEEE International Conference on Control Applications, 2008. CCA 2008.. IEEE. 2008. p. 534-539 https://doi.org/10.1109/CCA.2008.4629680