Tri-objective constrained optimization of pulsating DC sourced magnetic abrasive finishing process parameters using artificial neural network and genetic algorithm-Reference-Cited by-同舟云学术

Tri-objective constrained optimization of pulsating DC sourced magnetic abrasive finishing process parameters using artificial neural network and genetic algorithm

Published:2021-02-17 Issue:7 Volume:36 Page:843-857
ISSN:1042-6914
Container-title:Materials and Manufacturing Processes
language:en
Short-container-title:Materials and Manufacturing Processes

Author:

Ahmad Shadab¹^ORCID,Singari Ranganath M.¹²,Mishra R.S.¹

Affiliation:

1. Department of Mechanical Engineering, Delhi Technological University, Delhi, India

2. Department of Design, Delhi Technological University, Delhi, India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10426914.2020.1866196

Reference60 articles.

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3. Architectured materials in engineering and biology: fabrication, structure, mechanics and performance

4. Tensile and fracture toughness of high strength β Titanium alloy, Ti–10V–2Fe–3Al, as a function of rolling and solution treatment temperatures

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