Computing and Library Services - delivering an inspiring information environment

Towards self-optimizing and self-adaptive milling processes

Rubio Rodriguez, Luis, Longstaff, Andrew P., Fletcher, Simon and Myers, Alan (2013) Towards self-optimizing and self-adaptive milling processes. In: Lamdamap 10th International Conference, 20th-21st March 2013, Chicheley Hall Chicheley, Chester, England. (Unpublished)

[img] PDF - Accepted Version
Download (373kB)


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.

Item Type: Conference or Workshop Item (Speech)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies > EPSRC Centre for Innovative Manufacturing in Advanced Metrology
Related URLs:
Depositing User: Luis Rodriguez
Date Deposited: 14 Feb 2013 13:13
Last Modified: 28 Aug 2021 20:11


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©