In this paper, a new approach in predicting the surface roughness and flank wear of hard coatings using fuzzy rule-based model is implemented.
Abstract— In this paper, a new approach in predicting the surface roughness and flank wear of hard coatings using fuzzy rule-based model is implemented.
In this paper, a new approach in predicting the surface roughness and flank wear of hard coatings using fuzzy rule-based model is implemented.
F fuzzy logic can be a good alternative in predicting coating roughness and flank wear in hard coatings and showed an excellent result with respective ...
May 17, 2017 · Bibliographic details on Fuzzy rule-based model to estimate surface roughness and wear in hard coatings.
Fuzzy rule-based model to estimate surface roughness and wear in hard coatings ; Jaya, A.S.M., Hashim, S.Z.M., Haron, H., Muhamad, M.R., Rahman, M.N.A. · Article.
In this study, Fuzzy logic is employed to predict surface roughness in hard machining of EN31 steel using TiAlN coated cutting tool.
Fuzzy broad learning system (FBLS) is used for surface roughness prediction. Binary grey wolf optimization (BGWO) is applied to feature selection of FBLS.
Oct 11, 2024 · In this paper a novel fuzzy model-based approach is introduced to define the optimal ranges of the cutting parameters (cutting speed, feed, and ...
Jun 24, 2019 · Fuzzy logic-based artificial intelligence method was employed to develop an electrostatic charge (ESC), Ra, and material removal rate (MRR) prediction models.
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