DOI: 10.5176/2251-1857_M312.39
Authors: F. S. Alfares, M. S. Alajmi, M. S. Alfares
Abstract: A novel optimization technique based on quantum
computing principles, namely the Quantum Based Optimization
Method (QBOM), is proposed to solve the problem of
optimization for the surface grinding process. Grinding is an
abrasive precision machining process used to machine very hard
materials with ultra-high precision at a high material removal
rate. In grinding 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 optimization 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
optimization technique obtained better results than most of the
methods presented in the literature.
Keywords: Optimization, Surface Grinding, Manufacturing,
Quantum Computing, Evolution Algorithm
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