Surface roughness measurements in NFMQL assisted turning of titanium alloys: An optimization approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Mechanical Engineering
Link
http://link.springer.com/article/10.1007/s40544-017-0141-2/fulltext.html
Reference35 articles.
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2. Davim J P, Gaitonde V N, Karnik S R. Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models. J Mater Process Technol 205: 16–23 (2007)
3. Bhardwaj B, Kumar R, Singh P K. Surface roughness (Ra) prediction model for turning of AISI 1019 steel using response surface methodology and Box-Cox transformation. Proc IMechE, Part B: J Eng Manuf 228(2), 223–232 (2013)
4. Sharma V S, Dogra M, Suri N M. Cooling techniques for improved productivity in turning. Int J Mach Tool Manu 49(6), 435–453 (2009)
5. Gupta M K, Sood P K, Sharma V S. Optimization of machining parameters and cutting fluids during nano-fluid based minimum quantity lubrication turning of titanium alloy by using evolutionary techniques. J Cleaner Production 135: 1276–1288 (2016)
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