[HTML][HTML] Genetic optimized Al–Mg alloy constitutive modeling and activation energy analysis

W Chen, S Li, KS Bhandari, S Aziz, X Chen… - International Journal of …, 2023 - Elsevier
As an intelligent global optimization method, the genetic algorithm has tremendous potential
for improving flow behavior modeling and analysis. Based on flow stress-true strain curves …

Hybrid artificial neural network-based models to investigate deformation behavior of AZ31B magnesium alloy at warm tensile deformation

M Murugesan, JH Yu, W Chung, CW Lee - Materials, 2023 - mdpi.com
The uniaxial warm tensile experiments were carried out in deformation temperatures (50–
250° C) and strain rates (0.005 to 0.0167 s− 1) to investigate the material workability and to …

Optimization of forming parameters in incremental sheet forming of AA3003-H18 sheets using Taguchi method

M Murugesan, JH Yu, KS Jung, SM Cho, KS Bhandari… - Materials, 2022 - mdpi.com
The surface finish is an important characteristic in the incremental sheet forming (ISF)
process and is often influenced by numerous factors within the forming process. Therefore …

Formability and failure evaluation of AA3003-H18 sheets in single-point incremental forming process through the design of experiments

M Murugesan, DW Jung - Materials, 2021 - mdpi.com
The single-point incremental forming process (SPIF) is one of the emerging manufacturing
methods because of its flexibility in producing the desired complex shapes with higher …

Supervised machine learning approach for modeling hot deformation behavior of medium carbon steel

M Murugesan, JH Yu, KS Jung, SM Cho… - steel research …, 2023 - Wiley Online Library
Metal forming process parameters selection highly depends on the consistent and realistic
characterization of material behavior under the combined effects of strain, strain rate, and …

Warm deformation behavior and flow stress modeling of AZ31B magnesium alloy under tensile deformation

M Murugesan, JH Yu, W Chung, CW Lee - Materials, 2023 - mdpi.com
Constitutive equations were recognized for AZ31B magnesium alloy at higher temperatures
and strain rates from conventional empirical models like the original Johnson–Cook (JC) …

Practical approach for determining material parameters when predicting austenite grain growth under isothermal heat treatment

MK Razali, AA Abd Ghawi, M Irani, SH Chung, JM Choi… - Materials, 2023 - mdpi.com
An investigation of austenite grain growth (AGG) during the isothermal heat treatment of low-
alloy steel is conducted. The goal is to uncover the effect of time, temperature, and initial …

Strain modified constitutive equation and processing maps of high quality 20MnCr5 (sh) gear steel

J Yang, L Wang, Y Zheng, Z Zhong - Crystals, 2021 - mdpi.com
In order to develop the high-temperature forging process of high-quality 20MnCr5 (SH) gear
steel, according to the physical characteristics of high-temperature hot deformation of …

[PDF][PDF] Investigation of Surface Roughness in Single Point Incremental Sheet Forming Considering Process Parameters

M Murugesan, KS Bhandari, M Sajjad… - Int. J. Mech. Eng. Robot …, 2021 - ijmerr.com
Single point incremental forming (SPIF) is a die-less forming method in which the sheet is
incrementally formed using the forming tool with predefined contour paths of the desired …

粉末冶金Fe− 2Cu− 0.5 C 钢高温拉伸变形行为

简杰, 郭彪, 李强, 李肖, 宋久鹏, 张羽, 敖进清… - 粉末冶金 …, 2023 - pmt.ustb.edu.cn
使用Gleeble-3500 型热模拟机对粉末冶金Fe− 2Cu− 0.5 C 钢在变形温度850~ 1000℃,
应变速率0.1~ 10.0 s− 1 下进行高温拉伸测试, 定量分析变形温度, 应变速率对粉末冶金钢高温拉 …