Multi-objective optimization for MQL-assisted end milling operation: an intelligent hybrid strategy combining GEP and NTOPSIS-Reference-Cited by-同舟云学术

Multi-objective optimization for MQL-assisted end milling operation: an intelligent hybrid strategy combining GEP and NTOPSIS

Published:2019-08-27 Issue:12 Volume:31 Page:8693-8717
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Sen Binayak,Mia Mozammel^ORCID,Mandal Uttam Kumar,Dutta Bapi,Mondal Sankar Prasad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04450-z.pdf

Reference61 articles.

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3. Klocke FAEG, Eisenblätter G (1997) Dry cutting. CIRP Ann 46(2):519–526

4. McClure TF, Adams R, Gugger MD, Gressel MG (2007) Comparison of flood vs. microlubrication on machining performance. http://www.unist.com/pdfs/articles/AR_flood_v_micro.pdf . Accessed 10 Dec 2018

5. Gupta MK, Pruncu CI, Mia M, Singh G, Singh S, Prakash C, Sood PK, Gill HS (2016) Machinability investigations of Inconel-800 super alloy under sustainable cooling conditions. Materials 11(2088):1–13

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