Multi-objective optimization of tool nose radius and machining conditions employing Taguchi-based grey relational analysis in milling of AISI 304-Reference-Cited by-同舟云学术

Multi-objective optimization of tool nose radius and machining conditions employing Taguchi-based grey relational analysis in milling of AISI 304

Published:2023-05-27 Issue:20 Volume:27 Page:14861-14875
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kuram Emel^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08576-0.pdf

Reference27 articles.

1. Aggarwal A, Singh H, Kumar P et al (2009) Optimizing feed and radial forces in CNC machining of P-20 tool steel through Taguchi’s parameter design approach. Ind J Eng Mater Sci 16:23–32

2. Arunachalam RM, Mannan MA, Spowage AC (2004) Surface integrity when machining age hardened Inconel 718 with coated carbide cutting tools. Int J Mach Tools Manuf 44:1481–1491

3. Bhardwaj B, Kumar R, Singh PK (2014a) An improved surface roughness prediction model using Box–Cox transformation with RSM in end milling of EN 353. J Mech Sci Technol 28:5149–5157

4. Bhardwaj B, Kumar R, Singh PK (2014b) Effect of machining parameters on surface roughness in end milling of AISI 1019 steel. Proc Inst Mech Eng Part B J Eng Manuf 228:704–714

5. Chou YK, Song H (2004) Tool nose radius effects on finish hard turning. J Mater Process Technol 148:259–268

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