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Optimization of tribological behavior of Aluminium (A356) composites using TGRA technique

  • Published:2024 Issue:3 Volume:29 Page:
  • ISSN:1517-7076
  • Container-title:Matéria (Rio de Janeiro)
  • language:
  • Short-container-title:Matéria (Rio J.)

Author:

Venkata Ramana Murty Naidu Suvvari Chinni Krishna1,Vellingiri Suresh2ORCID,Chinnasamy Saravana Murthi3,Brindavanam Shanmugasundaram4,Jacob Samuel Sehar Allwin Ebinesar5,Mukuloth Srinivasnaik6,Periyasamy Yuvaraj Kunnathur7,Giri Jitendra Mohan8ORCID,Manikanta Javvadi Eswara9

Affiliation:

1. Sri Venkateswara College of Engineering and Technology, India

2. KIT-Kalaignarkarunanidhi Institute of Technology, India

3. United Institute of Technology, India

4. Adhiparasakthi College of Engineering, India

5. Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, India

6. School of Engineering Jawaharlal Nehru University, India

7. Sri Krishna College of Engineering and Technology, India

8. Lloyd Institute of Engineering and Technology, India

9. Shri Vishnu Engineering College for Women, India

Publisher

FapUNIFESP (SciELO)

Reference36 articles.

1. “Machine learning and statistical approach to predict and analyze wear rates in copper surface composites”;THANKACHAN T.;Metals and Materials International,2021

2. “Machine learning- based adaptive model identification of systems: application to a chemical process”;BHADRIRAJU B.;Chemical Engineering Research & Design,2019

3. “Investigation of aluminum and titanium based metal matrix composite”;SURESH V.;International Review of Mechanical Engineering,2012

4. “Effects of artificial aging on material properties of die-cast Al–Si–Cu–Mg–xNa alloy”;SAHARA N.;International Journal of Metalcasting,2023

5. “An experimental and investigation on the micro-structure hardness and tensile properties of Al-GrFe3O4 hybrid metal matrix composites”;SURESH V.;FME Transactions.,2019
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