The application of automated planning to machine tool calibration

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

16 Citations (Scopus)

Abstract

Engineering companies working with machine tools will often be required to calibrate those machines to international standards. The calibration process requires various errors in the machine to be measured by a skilled expert. In addition to conducting the tests, the engineer must also plan the order in which the tests should take place, and also which instruments should be used to perform each test. It is critical to find as short a calibration plan as possible so that the machine is not out of service for too long. In this work, automated planning is applied to the problem of generating machine tool calibration plans. Given a description of a machine, and its various axes, we produce a calibration plan that minimises the time taken to measure all of the errors of a machine. We also consider the case when there is not enough time to test all errors of the machine, and the calibration plan must maximise the importance of the set of errors tested in the limited time available.

Original languageEnglish
Title of host publicationICAPS 2012 - Proceedings of the 22nd International Conference on Automated Planning and Scheduling
Pages216-224
Number of pages9
Publication statusPublished - 2012
Event22nd International Conference on Automated Planning and Scheduling - Atibaia, Sao Paulo, Brazil
Duration: 25 Jun 201229 Jun 2012
Conference number: 22
http://icaps12.icaps-conference.org/ (Link to Conference Details)

Conference

Conference22nd International Conference on Automated Planning and Scheduling
Abbreviated titleICAPS 2012
CountryBrazil
CitySao Paulo
Period25/06/1229/06/12
Internet address

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Cite this

Parkinson, S., Longstaff, A. P., Crampton, A., & Gregory, P. (2012). The application of automated planning to machine tool calibration. In ICAPS 2012 - Proceedings of the 22nd International Conference on Automated Planning and Scheduling (pp. 216-224)