Exploring the intricacies of machine learning-based optimization of electric discharge machining on squeeze cast TiB2/AA6061 composites: Insights from morphological, and microstructural aspects in the surface structure analysis of recast layer formation and worn-out analysis

Exploring the intricacies of machine learning-based optimization of electric discharge machining on squeeze cast TiB2/AA6061 composites: Insights from morphological, and microstructural aspects in the surface structure analysis of recast layer formation and worn-out analysis

Aluminium (Al) Alloy-6061/TiB2 was developed with Squeeze casting while varying composite quantities with titanium diboride (TiB2). The metallographic structure of the composite was investigated using EDS and scanning electron microscopy (SEM). The machining of developed composite is challenging wit...

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Bibliographic Details
Main Authors: Raman Kumar, Arvinder Singh Channi, Rupinder Kaur, Shubham Sharma, Jasmaninder Singh Grewal, Sehijpal Singh, Amit Verma, Rodolfo Haber
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Journal of Materials Research and Technology
Subjects:
Electrical discharge machining
Aluminium Alloy-6061/TiB2 composite material
Squeeze casting
Metal matrix
Machine learning
TOPSIS-AHP-Entropy weights
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785423022500

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http://www.sciencedirect.com/science/article/pii/S2238785423022500

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