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

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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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Notes

  1. Hadamard transformation takes a basis state and transforms it into a linear combination of two basis states.

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Authors and Affiliations

  1. Department of Manufacturing Engineering Technology, College of Technological Studies, Public Authority for Applied Education and Training, Adailiyah, Kuwait

    Mahdi S. Alajmi & Fawzan S. Alfares

  2. Department of Electronic Engineering Technology, College of Technological Studies, Public Authority for Applied Education and Training, Adailiyah, Kuwait

    Mohamed S. Alfares

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  1. Mahdi S. Alajmi
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  2. Fawzan S. Alfares
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  3. Mohamed S. Alfares
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Correspondence to Mahdi S. Alajmi.

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Alajmi, M.S., Alfares, F.S. & Alfares, M.S. Selection of optimal conditions in the surface grinding process using the quantum based optimisation method. J Intell Manuf 30, 1469–1481 (2019). https://doi.org/10.1007/s10845-017-1326-2

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  • DOI: https://doi.org/10.1007/s10845-017-1326-2

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