Modeling and Optimization of Surface Roughness in Hard Turning of AISI 4340 Steel with Coated Ceramic Tool
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-2944-9_15
Reference27 articles.
1. Das SR, Kumar A, Dhupal D. Experimental investigation on cutting force and surface roughness in machining of hardened AISI 52100 steel using cBN tool. International Journal of Machining and Machinability of Materials, 2016; 18:501–521.
2. Das SR, Dhupal D, Kumar A. Experimental investigation into machinability of hardened AISI 4140 steel using TiN coated ceramic tool. Measurement 2015; 62: 108–126.
3. Agrawal A, Goel S, Rashid W Bin, Price M. Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Applied Soft Computing Journal 2015; 30: 279–286.
4. Panda, A., Sahoo, A.K., Rout, A.K., (2016). Investigations on surface quality characteristics with multi-response parametric optimization and correlations. Alexandria Engineering Journal, 55, 1625–1633.
5. Xio Z, Lio X, Long Z, Li M. Effect of cutting parameters on surface roughness using orthogonal array in hard turning of AISI 1045 steel with YT5 tool. International Journal of Advanced Manufacturing Technology 2017; 93:273–282.
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