Towards self-optimizing and self-adaptive milling processes

Luis Rubio, Andrew Longstaff, Simon Fletcher, Alan Myers

Research output: Contribution to conferencePaper

Abstract

This paper presents a novel control architecture system which is composed of a multi-objective cost function which Pareto optimises the programming of cutting parameters while adapting the milling process to new cutting conditions if new constraints appear. The paper combines a self-optimised module which looks for and finds Pareto optimal cutting parameters according to multi-objective purposes and, a multi-estimation adaptive control module which keeps the cutting forces under prescribed upper safety limits independently of programmed cutting conditions and material properties while maintaining the performance of the process. A supervised controller acts as decision support-software to automatically switch to best performance tracking adaptive controller among those available at each required time.
Original languageEnglish
Publication statusPublished - Mar 2013
EventLamdamap 10th International Conference - Chicheley Hall , Chester, United Kingdom
Duration: 20 Mar 201321 Mar 2014

Conference

ConferenceLamdamap 10th International Conference
CountryUnited Kingdom
CityChester
Period20/03/1321/03/14

Keywords

  • control architecture system
  • cutting parameters
  • self-adaptive milling processes

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  • Cite this

    Rubio, L., Longstaff, A., Fletcher, S., & Myers, A. (2013). Towards self-optimizing and self-adaptive milling processes. Paper presented at Lamdamap 10th International Conference, Chester, United Kingdom.