Investigations on wire spark discharge and MRR using neural network modeling-Reference-Cited by-同舟云学术

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Investigations on wire spark discharge and MRR using neural network modeling

Published:2021 Issue: Volume:45 Page:582-586
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Mashinini P.M.,Soni Hargovind^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Nanocrystallization of the Ti50Ni48Co2 shape memory alloy by thermomechanical treatment;Mohammad Sharifi;J. Mater. Eng. Perform.,2014

2. Antiphase boundary-like structure of B19′ martensite via R-phase transformation in Ti–Ni–Fe alloy;Matsuda;J. Alloys Compd.,2014

3. Electro discharge machining of nickel-titanium shape memory alloys;Theisen;Mater. Sci. Eng. A,2004

4. surface characteristics and shape recovery ability of Ti35.5Ni48.5Zr16 and Ni60Al24.5Fe15.5 ternary shape memory alloys;Hsieh;J. Alloys Compd.,2013

5. On geometrical accuracy and integrity of surfaces in multi-mode abrasive waterjet machining of NiTi shape memory alloys;Kong;CIRP Ann. - Manuf. Technol.,2013

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