Flow stress behaviour prediction of 92W-5Co-3Ni alloy using various machine learning models-Reference-Cited by-同舟云学术

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Flow stress behaviour prediction of 92W-5Co-3Ni alloy using various machine learning models

Published:2024-07-14 Issue: Volume: Page:1-14
ISSN:2374-068X
Container-title:Advances in Materials and Processing Technologies
language:en
Short-container-title:Advances in Materials and Processing Technologies

Author:

Poluru Suswanth¹,Ananth Vrishan¹,Kotkunde Nitin¹^ORCID,Singh Swadesh Kumar²³,Panchal Ashustosh⁴,Gnanasambandam Prabhu⁴

Affiliation:

1. Department of Mechanical Engineering, Birla Institute of Science and Technology, Hyderabad, India

2. Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India

3. Institute for Sustainable Industries & Livable Cities, Victoria University, Melbourne, Australia

4. Powder Metallurgy Group, Defence Metallurgical Research Laboratory (DMRL), Hyderabad, India

Funder

Armaments Research Board (ARMREB), under DRDO, Government of India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2374068X.2024.2379130

Reference23 articles.

1. Tungsten

2. Belhadjhamida A, German RM. Tungsten and tungsten alloys. Annual meeting and exhibition of the Minerals, Metals and Materials Society (TMS), 17-21 Feb 1991. United States: The Metallurgical Society Inc; 1991. p. 3–19.

3. On structure property correlation in high strength tungsten heavy alloys

4. A plastic constitutive equation incorporating strain, strain-rate, and temperature

5. A Phenomenological Constitutive Equation to Describe Various Flow Stress Behaviors of Materials in Wide Strain Rate and Temperature Regimes

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