Abstract
This study focuses on the prediction of cutting force, tool flank wear and surface roughness with extreme pressure (EP) additive included vegetable-based cutting fluids (VBCFs) using fuzzy logic and regression. Cutting force, tool flank wear and surface roughness are measured during turning of AISI 1040 steel according to L9 orthogonal array. A model depends on fuzzy logic is established, and the results obtained from fuzzy logic are compared with the results from regression and experimentation. Fuzzy logic model gives closer values to experimental results than the regression model. It has been concluded that fuzzy rule-based modelling helps in predicting cutting force, surface roughness and tool flank wear. Confirmation experiment results revealed that fuzzy logic model is better than regression model for predicting cutting force, tool wear and surface roughness in turning.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
