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Erschienen in: Journal of Intelligent Manufacturing 3/2019

06.06.2017

Selection of optimal conditions in the surface grinding process using the quantum based optimisation method

verfasst von: Mahdi S. Alajmi, Fawzan S. Alfares, Mohamed S. Alfares

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 3/2019

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Abstract

A novel optimisation technique based on quantum computing principles, namely the quantum based optimisation method (QBOM), is proposed to solve the surface grinding process problem optimisation. In grinding process there is a trade-off between faster material removal rates, with a reduction in cutting time and its associated cost and shorter tool life or higher tool cost. The objective of the surface grinding optimisation problem is to determine the optimal machining conditions, which will minimize the unit production cost and unit production time with the finest possible surface finish but without violating any imposed constraints. The performance of QBOM is investigated against two test cases, one of a rough grinding process and the other of a finished grinding process and the computational results show that the proposed optimisation technique obtained better results than most of the methods presented in the literatures.

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Fußnoten
1
Hadamard transformation takes a basis state and transforms it into a linear combination of two basis states.
 
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Metadaten
Titel
Selection of optimal conditions in the surface grinding process using the quantum based optimisation method
verfasst von
Mahdi S. Alajmi
Fawzan S. Alfares
Mohamed S. Alfares
Publikationsdatum
06.06.2017
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 3/2019
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-017-1326-2

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