Towards self-optimizing and self-adaptive milling processes

L. Rubio, A. P. Longstaff, S. Fletcher, A. Myers

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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
Title of host publicationLaser Metrology and Machine Performance X
Subtitle of host publication10th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2013
EditorsLiam Blunt
Publishereuspen
Pages29-38
Number of pages10
ISBN (Print)9780956679017
Publication statusPublished - 1 Mar 2013
Event10th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance - Buckinghamshire, United Kingdom
Duration: 20 Mar 201321 Mar 2013
Conference number: 10

Conference

Conference10th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance
Abbreviated titleLAMDAMAP 2013
Country/TerritoryUnited Kingdom
CityBuckinghamshire
Period20/03/1321/03/13

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