Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy

Author:

Hulipalled Poornima,Algur Veerabhadrappa,Lokesha Veerabhadraiah,Saumya Sunil,Satyanarayan

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference51 articles.

1. Study of mechanical properties of Zn-27Al alloy cast in metal mould at different casting conditions;Akhter;Int J Eng Tech Res,2016

2. Experimental investigation on friction characteristics of modified ZA-27 alloy using Taguchi technique;Algur;Int J Mech Eng Robot Res,2014

3. Effect of Mn content on tribological wear behavior of ZA-27 alloy;Algur;Mater Today: Proc,2017

4. Machine learning algorithms to predict wear behavior of modified ZA-27 alloy under varying operating parameters;Algur;J. Bio- Tribo-Corros.,2022

5. Prediction of wear loss quantities of ferroalloy coating using different machine learning algorithms;Altay;Friction,2019

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