Abstract
Simulation results in the fuzzy logic environment can be used to classify abrasive wheels with linguistic estimates and solving local grinding problems: selection of based elements of the wheel characteristic, to minimize (maximize) a single surface topography parameter. Requirements integrated assessment of topography High-Speed Tool Steel W9Mo4Co8 in the greatest measure responses for an abrasive wheel: 25AF46K10V5-PO3, 5SG60K12VXP and 5NQ46I6VS3 with linguistic rate “good” and the greatest values of the desirability function.
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Nguyen, V.C., Hoang, V.C., Nguyen, V., Nguyen, N.H. (2021). Fuzzy Logic Simulation for Classifying Abrasive Wheels in Pendulum Grinding. In: Kumar, R., Quang, N.H., Kumar Solanki, V., Cardona, M., Pattnaik, P.K. (eds) Research in Intelligent and Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1254. Springer, Singapore. https://doi.org/10.1007/978-981-15-7527-3_1
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