Statistical Analysis of WEDM Machining Parameters of Ti-6Al-4V Alloy Using Taguchi-Based Grey Relational Analysis and Artificial Neural Network-Reference-Cited by-同舟云学术

Statistical Analysis of WEDM Machining Parameters of Ti-6Al-4V Alloy Using Taguchi-Based Grey Relational Analysis and Artificial Neural Network

Published:2022-07-25 Issue: Volume: Page:
ISSN:0732-8818
Container-title:Experimental Techniques
language:en
Short-container-title:Exp Tech

Author:

Altin Karataş M.^ORCID,Biberci M.A.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s40799-022-00601-5.pdf

Reference84 articles.

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2. Divya M, Sateesh N, Subbiah R (2020) Review on multi objective optimization of wire cut EDM process parameters using grey relational analysis. Mater Today Proc 26:3124–3130. https://doi.org/10.1016/j.matpr.2020.02.645

3. Datta S, Mahapatra S (2010) Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique. Int J Eng Sci Technol 2(5):162–183. https://doi.org/10.1016/10.4314/ijest.v2i5.60144

4. Manjaiah M, Narendranath S, Basavarajappa S (2014) A review on machining of titanium based alloys using EDM and WEDM. Rev Adv Mater Sci 36(2):89–111

5. Ishfaq K et al (2022) EDM of Ti6Al4V under nano-graphene mixed dielectric: a detailed roughness analysis. Int J Adv Manuf Technol:1–14. https://doi.org/10.1007/s00170-022-09207-y

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