An energy survey to optimize the technological parameters during the milling of AISI 304L steel using the RSM, ANN and genetic algorithm-Reference-Cited by-同舟云学术

An energy survey to optimize the technological parameters during the milling of AISI 304L steel using the RSM, ANN and genetic algorithm

Published:2023-08-31 Issue: Volume: Page:1-19
ISSN:2374-068X
Container-title:Advances in Materials and Processing Technologies
language:en
Short-container-title:Advances in Materials and Processing Technologies

Author:

Bousnina Kamel¹²^ORCID,Hamza Anis¹²,Ben Yahia Noureddine¹²

Affiliation:

1. Department of Mechanical Engineering, National School of Engineering of Tunis, University of Tunis, Tunis, Tunisia

2. Mechanical, Production and Energy Laboratory (LMPE), University of Tunis, Tunis, Tunisia

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/2374068X.2023.2253658

Reference42 articles.

1. U.S. Energy Information Administration (EIA). International Energy Outlook 2019. Office of energy analysis. U.S. Department Of Energy, Washington, DC 20585, 2019 September.

2. World Energy Outlook 2019

3. Energy consumption, capital expenditures, R&D cost and company profitability: evidence from paper and allied industry

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