Optimization of dry sliding wear characteristics of Al–25Zn/SiC hybrid composites by graphite reinforcement using artificial neural network and Taguchi’s method-Reference-Cited by-同舟云学术

Optimization of dry sliding wear characteristics of Al–25Zn/SiC hybrid composites by graphite reinforcement using artificial neural network and Taguchi’s method

Published:2021-11-17 Issue: Volume: Page:1-14
ISSN:1751-5831
Container-title:Tribology - Materials, Surfaces & Interfaces
language:en
Short-container-title:Tribology - Materials, Surfaces & Interfaces

Author:

Ritapure Parmeshwar Pandurang¹,Damale Adinath Vitthal²,Yadav Rashmi Gulabrao³,Kharde Yashwant Ramchandra⁴

Affiliation:

1. Zeal College of Engineering and Research, Pune, India

2. Sanjivani College of Engineering, Kopargaon, India

3. Sarhad College of Arts, Commerce and Science, Katraj, Pune, India

4. Pravra Rural Engineering College, Loni, India

Funder

Board of College and University Development, Savitribai Phule Pune University

Publisher

Informa UK Limited

Subject

Mechanical Engineering,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/17515831.2021.2002598

Reference30 articles.

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3. Kang HS. Hyundai Motor Company, Seoul (Kr) (2014). Wear resistant alloy having complex microstructure, Application No. 14/270,674, Patent No. US2014/0334970Al.

4. An investigation of lubricated friction and wear properties of Zn–40Al–2Cu–2Si alloy in comparison with SAE 65 bearing bronze

5. Fatigue behaviour of Al–25Zn–3Cu alloy

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