Prediction and Optimization of Surface Roughness and Kerf Width in AWJM Using Soft Computing Tools

Author:

Rathaur Vrishab Singh,Selvaraju Krishnaa,Rajyalakshmi G.

Publisher

Springer Nature Singapore

Reference21 articles.

1. Momber, A., Andreas W., Kovacevic, R.: Principles of Abrasive Water Jet Machining. Springer Science & Business Media (2012)

2. Vasanth, S. et al.: Performance analysis of process parameters on machining titanium (Ti–6Al–4V) alloy using abrasive water jet machining process. Procedia CIRP 46, 139–142 (2016)

3. Hascalik, A., Çaydaş, U., Gürün, H.: Effect of traverse speed on abrasive waterjet machining of Ti–6Al–4V alloy. Mater. Des. 28(6), 1953–1957 (2007)

4. Gnanavelbabu, A., et al.: Experimental investigations on multiple responses in abrasive waterjet machining of Ti–6Al–4V alloy. Materials Today: Proc. 5(5), 13413–13421 (2018)

5. Kumar, P., Kant, R.: Development of a predictive model for kerf taper angle in AWJM of Kevlar epoxy composite. Materials Today: Proc. 28, 1164–1169 (2020)

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