Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment
Reference34 articles.
1. Power prediction model for turning EN-31 steel using response surface methodology;Abhang;J. Eng. Sci. Technol. Rev.,2010
2. Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique—a comparative analysis;Aggarwal;J. Mater. Process. Technol.,2008
3. Recent advances in modelling of metal machining processes;Arrazola;CIRP Ann. – Manuf. Technol.,2013
4. Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA;Bhattacharya;Prod. Eng.,2009
5. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites;Bhushan;J. Clean. Prod.,2013
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