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Journal of Intelligent Manufacturing

Erschienen in:

24.01.2019

Optimization of cutting conditions using an evolutive online procedure

verfasst von: Antonio Del Prete, Rodolfo Franchi, Stefania Cacace, Quirico Semeraro

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 2/2020

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Abstract

This paper proposes an online evolutive procedure to optimize the Material Removal Rate in a turning process considering a stochastic constraint. The usual industrial approach in finishing operations is to change the tool insert at the end of each machining feature to avoid defective parts. Consequently, all parts are produced at highly conservative conditions (low levels of feed and speed), and therefore, at low productivity. In this work, a framework to estimate the stochastic constraint of tool wear during the production of a batch is proposed. A simulation campaign was carried out to evaluate the performances of the proposed procedure. The results showed that it was possible to improve the Material Removal Rate during the production of the batch and keeping the probability of defective parts under a desired level.

Vorheriger Artikel A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand

Nächster Artikel A model for assessment of the impact of configuration changes in complex products

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Titel: Optimization of cutting conditions using an evolutive online procedure
verfasst von: Antonio Del Prete
Rodolfo Franchi
Stefania Cacace
Quirico Semeraro
Publikationsdatum: 24.01.2019
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 2/2020
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-018-01460-x

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