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- W4360944737 abstract "The milling process is widely used in the most industrial sectors for machined parts because it is more flexible than forming and molding process. However, selection parameters are still inconsistent depending on human experiences which causes inefficiency and less competitiveness particularly in the age of industry 4.0 which manufacturing processes should deal with uncertainty and respond to engineering changes rapidly and timely. The complexity of the selection is caused by multi-criteria decision making in order to obtain the optimal solutions. This paper proposes ANFIS-based reasoning to deal with multi-criteria decision making on the optimal cutting speed based on three critical factors: workpiece material, tools material, and design constraints. The model is developed by using the MATLAB toolbox. Fuzzy rules are captured and collected experts and machine text books. The case study is illustrated by modelling and experiment." @default.
- W4360944737 created "2023-03-26" @default.
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- W4360944737 date "2023-03-01" @default.
- W4360944737 modified "2023-10-11" @default.
- W4360944737 title "Optimal cutting speed selection for milling with multi-criteria decision using ANFIS based reasoning" @default.
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- W4360944737 doi "https://doi.org/10.1016/j.matpr.2023.03.298" @default.
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