Nandi, Arup Kumar (2012) Modelling and Analysis of Cutting Force and Surface Roughness in Milling Operation Using TSK-Type Fuzzy Rules. Journal of the Brazilian Society of Mechanical Sciences and Engineering, XXXIV (1). pp. 49-61.

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The present paper discusses on development of fuzzy rule based models (FRBMs) for predicting cutting force and surface roughness in milling operation. The models use Takagi-Sugeno-Kang-type (TSK-type) fuzzy rule to study the effect of four (input) cutting parameters (cutting speed, feed rate, radial depth of cut and axial depth of cut) on outputs (cutting force and surface roughness). The appropriate FRBM is arrived after a thorough investigation of different structures of rule-consequent function. A combined approach of genetic algorithm and multiple linear regression method is used to determine the rule-consequent parameters. Performance analysis of models by comparing with experimental data implies its potential towards practical application. Analysis of the influence of various input parameters on different outputs is carried out based on FRBMs and experimental data. It suggests that the cutting force becomes higher with increasing feed rate, axial depth of cut and radial depth of cut and lower with increase in cutting speed, whereas surface finish is improved with increase in cutting speed and gets poorer with increase in radial depth of cut.

Item Type: Article
Subjects: Numerical Modelling
Depositing User: Dr. Sarita Ghosh
Date Deposited: 13 Apr 2016 08:20
Last Modified: 13 Apr 2016 08:20

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