Application of artificial neural networks (ANN) and gray relational analysis (GRA) to modeling and optimization of the material ratio curve parameters when turning hard steel-Reference-Cited by-同舟云学术

Application of artificial neural networks (ANN) and gray relational analysis (GRA) to modeling and optimization of the material ratio curve parameters when turning hard steel

Published:2023-01-13 Issue:10 Volume:124 Page:3657-3670
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Hamdi Amine^ORCID,Merghache Sidi Mohammed

Funder

This work was supported by the Algerian Ministry of Higher Education and Scientific Research (MESRS) and the Delegated Ministry for Scientific Research (MDRS) through PRFU Research Project

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-10833-3.pdf

Reference46 articles.

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2. Grzesik W, Rech J, Żak K (2015b) Characterization of surface textures generated on hardened steel parts in high-precision machining operations. Int J Adv Manuf Technol 78:2049–2056. https://doi.org/10.1007/s00170-015-6800-4

3. Kumar R, Kumar Sahoo A, Chandra Mishra P, Kumar DR (2018) Comparative investigation towards machinability improvement in hard turning using coated and uncoated carbide inserts: part I experimental investigation. Adv Manuf 6:52–70. https://doi.org/10.1007/s40436-018-0215-z

4. Kumar R, Kumar Sahoo A, Chandra Mishra P, Kumar Das R (2018) Comparative study on machinability improvement in hard turning using coated and uncoated carbide inserts: part II modeling, multi-response optimization, tool life, and economic aspects. Adv Manuf 6:155–175. https://doi.org/10.1007/s40436-018-0214-0

5. Grzesik W (2006) Determination of temperature distribution in the cutting zone using hybrid analytical-FEM technique. Int J Mach Tools Manuf 46:651–658. https://doi.org/10.1016/j.ijmachtools.2005.07.009

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