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Journal of Intelligent Manufacturing
Erschienen in: Journal of Intelligent Manufacturing 5/2014

01.10.2014

Dynamic speed control of a machine tool with stochastic tool life: analysis and simulation

verfasst von: Bernard F. Lamond, Manbir S. Sodhi, Martin Noël, Ousman A. Assani

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 5/2014

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Abstract

We discuss a tool management model for a flexible machine equipped with a tool magazine, variable cutting speed, and sensors to monitor tool wear, when tool life due to flank wear is stochastic. The objective is to adjust the cutting speed as a function of remaining distance, each time a tool change occurs, in order to minimize the expected processing time (sum of cutting and tool setup time). We address the computational aspects of finding optimal decision rules and we present numerical results suggesting that easily computed decision rules of a simple static model are near-optimal for our dynamic programming model. Dynamic adjustment is assessed with simulation experiments.
Vorheriger Artikel Applying discrete event simulation to the design of a service delivery system in the aerospace industry: a case study
Nächster Artikel An approach to monitoring quality in manufacturing using supervised machine learning on product state data

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Metadaten
Titel
Dynamic speed control of a machine tool with stochastic tool life: analysis and simulation
verfasst von
Bernard F. Lamond
Manbir S. Sodhi
Martin Noël
Ousman A. Assani
Publikationsdatum
01.10.2014
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 5/2014
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-013-0756-8

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