Investigation on abrasive waterjet machining conditions of mild steel using artificial neural network-Reference-Cited by-同舟云学术

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Investigation on abrasive waterjet machining conditions of mild steel using artificial neural network

Published:2019 Issue: Volume:19 Page:233-239
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Selvan Chithirai Pon,Midhunchakkaravarthy Divya,Pillai Swaroop Ramaswamy,Madara Sahith Reddy

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Effect of traverse speed on abrasive waterjet machining of Ti-6Al-4V alloy;Hascalik;Meter. Des.,2007

2. Principles of Abrasive Waterjet Machining;Momber,1998

3. A model for abrasive waterjet (AWJ) machining;Hashish;Trans. ASME J. Eng. Mater. Technol.,1989

4. Chithirai Pon Selvan, Sahith Reddy Madara, S.S. Sampath, N.S. Sarath Raj, Effects of process parameters on depth of cut in abrasive waterjet cutting of phosphate glass, in: IEEE Xplore, Advances in Science and Engineering Technology International Conferences (ASET), Abu-Dhabi, pp. 1–6, 2018.

5. J. Wang, Abrasive Waterjet Machining of Engineering Materials, Uetikon-Zuerich [Swizerland]: Trans Tech Publications, 2003.

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