Process Parameter Optimization for Turning Operation of Titanium Alloy (Ti6Al4V) Using Fuzzy Logic Methodology
Abstract
Keywords: comprehensive output measures (COM), fuzzy logic approach, surface roughness, tool life
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Filice L., Umbrello D., Beccari S., et al. On the FE codes capability for tool temperature calculation in machining process, 2006; 174(1-3): 286–92p.
Dixon G., Wright R.N., Lee M. Process involved in the wear of cemented carbide tools, Wear. 1985; 104: 157–71p.
Hartung P.D. Tool wear in titanium machining, PhD Thesis, Cambridge, MA: MIT; 1981.
Hartung P.D., Kramer B.M. Tool wear in titanium machining, Ann CIRP. 1982; 31(1): 75–80p.
J Appl Met Working. 1(4): 15–23p.
Gupta A., Aggarwal A. Taguchi-Fuzzy multi output optimization in high speed CNC turning AISI P20 Tool steel, Expert Syst Appl. 2011; 38(2011): 6822–8p.
Komanduri R. Tool materials, Encyclopedia of Chemical Technology, Vol 23, 3rd edition.
Lindberg R.A. Processes and Materials of Manufacture. 4th edn., Vol. 189, 1995, 207–16p.
Ramalingam S., Wright P.K. Abrasive wear in machining: experiments with materials of controlled microstructure, ASME Trans – J Eng Mater Technol. 1981; 103(2): 151–6p.
Shaw, M. (2005) Metal Cutting Principles, 2nd edition, New York Oxford University Press Inc.
Stephenson D.A., Agapiou J.S. Metal Cutting Theory and Practice. 2nd edn, 2006.
Takeyama H., Murata R. Basic investigation of tool wear, ASME. 1963.
DOI: https://doi.org/10.37628/ijpe.v1i2.99
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