Investigation and optimization of wire EDM process parameters for Al 5454 alloy machining
Author:
Publisher
Elsevier BV
Subject
Materials Science (miscellaneous)
Reference12 articles.
1. Multi-objective optimization in wire-EDM process using grey relational analysis method (GRA) and backpropagation neural network–genetic algorithm (BPNN–GA) methods;Soepangkat;Multidiscip. Model. Mater. Struct.,2019
2. Machinability analysis and optimization in wire EDM of medical grade NiTiNOL memory alloy;Kulkarni;Materials.,2020
3. Prediction and optimization of machining time and surface roughness of AISI O1 tool steel in wire-cut EDM using robust design and desirability approach;Camposeco-Negrete;Int. J. Adv. Manuf. Technol.,2019
4. A. Jaiswal, B. Peshwani, I. Shivakoti, A. Bhattacharya, Multi response optimization of wire EDM process parameters. InIOP Conference Series: Materials Science and Engineering 2018 Jun 1 (Vol. 377, No. 1, p. 012221). IOP Publishing.
5. Experimental investigation of wire-EDM process parameters for surface roughness in the machining of carbon steel 1017 and aluminum alloy 6060;Alsoufi;American Journal of Mechanical Engineering.,2018
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