Development of statistical and soft computing regression models for WEDM machining of aluminum composites-Reference-Cited by-同舟云学术

Development of statistical and soft computing regression models for WEDM machining of aluminum composites

Published:2024-08-03 Issue: Volume: Page:
ISSN:1955-2513
Container-title:International Journal on Interactive Design and Manufacturing (IJIDeM)
language:en
Short-container-title:Int J Interact Des Manuf

Author:

G Ramanan,J Edwin Raja Dhas,K Anton Savio Lewise,Kulandaiyappan Naveen Kumar,Stanislaus Arputharaj Beena,Rajendran Parvathy,Raja Vijayanandh^ORCID,Karuppasamy Arunkumar

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12008-024-02017-4.pdf

Reference37 articles.

1. Cogun, G., Tosun, N., Tosun: A study on kerf and material removal rate in Wire Cut Electrical Discharge machining based on Taguchi method. J. Mater. Process. Technol. 152, 41–51 (2012)

2. Datta, S., Mahapatra, S.S.: Modeling, Simulation and Parametric Optimization of wire EDM process using response surface methodology coupled with Grey-Taguchi Technique. Int. J. Eng. Sci. Technol., 162–183 (2010)

3. Manivannan, I., Ranganathan, S., Gopalakannan, S., Suresh, S.: Mechanical properties and tribological behavior of Al6061–SiC–gr self-lubricating hybrid nanocomposites. Trans. Indian Inst. Met. 71, 1897–1911 (2018)

4. Ramanan, G.: Edwin Raja Dhas. Experimental investigation and multi response optimization of wire electrical discharge machining process of AA7075-PAC metal matrix composites using particle swarm optimization. Int. J. Intell. Eng. Syst. 10, 166–174 (2017)

5. Devarasiddappa, D., Jees George, M., Chandrasekaran, N., Teyi: Application of Artificial Intelligence Approach in modeling Surface Quality of Aerospace alloys in WEDM process. Procedia Technol. 25, 1199–1208 (2016)