Supervised Machine Learning Approach for Modeling Hot Deformation Behavior of Medium Carbon Steel-Reference-Cited by-同舟云学术

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Supervised Machine Learning Approach for Modeling Hot Deformation Behavior of Medium Carbon Steel

Published:2022-07-09 Issue:2 Volume:94 Page:2200188
ISSN:1611-3683
Container-title:steel research international
language:en
Short-container-title:steel research int.

Author:

Murugesan Mohanraj¹^ORCID,Yu Jae-Hyeong²,Jung Kyu-Seok²,Cho Sung-Min²,Bhandari Krishna Singh³,Chung Wanjin²,Lee Chang-Whan¹^ORCID

Affiliation:

1. Department of Mechanical System Design Engineering Seoul National University of Science and Technology Seoul 01811 Korea

2. Department of Mechanical Information Engineering Seoul National University of Science and Technology Seoul 01811 Korea

3. Department of Mechanical Engineering Jeju National University Jeju-Do 63243 Korea

Funder

Seoul National University of Science and Technology

National Research Foundation of Korea

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/srin.202200188

Reference46 articles.

1. Constitutive modeling for the hot deformation behavior of Mg-3.06Zn-0.58Zr-1.07Y alloy

2. Modelling of Microstructure and Flow Stress Evolution during Hot Forging

3. Flow Stress and Critical Dynamic Recrystallization Behavior of Cu-Fe16Mn0.6C High Manganese TWIP Steel

4. Development of Constitutive Models for Extrapolative Prediction of Nb-Ti Micro Alloyed Steel

5. The Flow Stress Behavior and Constitutive Model of Cr8Mo2SiV Tool Steel during Hot Deformation

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1. Hot deformation behavior of 30MnB5V steel: Phenomenological constitutive model, ensemble learning algorithm, hot processing map and microstructure evolution;Journal of Materials Research and Technology;2024-09

2. Flow stress behaviour prediction of 92W-5Co-3Ni alloy using various machine learning models;Advances in Materials and Processing Technologies;2024-07-14

3. Unraveling hot deformation behavior and microstructure evolution, flow stress prediction of powder metallurgy BCC/B2 Al1.8CrCuFeNi2 HEA;Journal of Alloys and Compounds;2024-01

4. Hybrid Artificial Neural Network-Based Models to Investigate Deformation Behavior of AZ31B Magnesium Alloy at Warm Tensile Deformation;Materials;2023-07-28

5. Warm Deformation Behavior and Flow Stress Modeling of AZ31B Magnesium Alloy under Tensile Deformation;Materials;2023-07-19

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