[HTML][HTML] Machine learning guided constitutive model and processing map for Fe2Ni2CrAl1. 2 multi-principle element alloys

L Qiao, J Inoue, J Zhu - Journal of Materials Research and Technology, 2024 - Elsevier
The present work provides a systematical investigation on the hot deformation behavior of
Fe2Ni2CrAl1. 2 multi-principle element alloys (MPEAs). Hot compression tests were carried …

Hot deformation behavior analysis of as-cast CoCrFeNi high entropy alloy using Arrhenius-type and artificial neural network models

M Karimzadeh, M Malekan, H Mirzadeh, N Saini, L Li - Intermetallics, 2024 - Elsevier
An as-cast equiatomic CoCrFeNi high entropy alloy was investigated through hot
compression tests conducted at various temperatures ranging from 700 to 1000° C and …

[HTML][HTML] Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

SK Dewangan, R Jain, S Bhattacharjee, S Jain… - Journal of Materials …, 2024 - Elsevier
A machine learning technique leveraging artificial intelligence (AI) has emerged as a
promising tool for expediting the exploration and design of novel high entropy alloys (HEAs) …

[HTML][HTML] Numerical and experimental investigation of the dynamic mechanical behavior of precipitation-strengthed NiCoCrSi0. 3C0. 048 medium-entropy alloy

WT Zhao, Q Wang, D Zhao, JJ Wang, HQ Fang… - Journal of Materials …, 2024 - Elsevier
An extended crystal plasticity model and an optimized neural network are established to
investigate the mechanical behavior of CoCrNiSi 0.3 C 0.048 Medium entropy alloy (MEA) …

The improved physically-mechanism constitutive model for a Ni-Mo-Cr-based superalloy with the pre-precipitation of μ phase in hot forming

D He, X Chen, YC Lin - Journal of Alloys and Compounds, 2024 - Elsevier
High-temperature deformation features of the Ni-Mo-Cr-based superalloy with the pre-
precipitation μ phase are researched utilizing thermal compression experiments. For …

[HTML][HTML] BPANN modified constitutive descriptions for flow behavior and softening mechanism in the α+ β phase region of Ti-55511 alloy with equiaxed microstructure

S Shi, J Ge, X Zhang, Q Liu, R Li - Journal of Materials Research and …, 2024 - Elsevier
The deformation behavior of Ti-55511 alloy was investigated by hot compression tests
conducted at deformation temperatures of 993∼ 1113 K and strain rates of 0.001–1 s− 1. To …

Comparative study on constitutive models of a near β titanium alloy TC18 during thermoplastic deformation based on machine learning

S Ding, S Gao, X Jiang, S Shi, Y Liang - Materials Today Communications, 2025 - Elsevier
The hot deformation behavior of TC18 alloy has been systematically studied at the
temperature of 993–1113 K and strain rate of 0.001–1 s− 1. Based on the stress-strain data …

Research on an intelligent assessment method for the physical health of preschool children based on the Artificial Neural Network (ANN) model

H Li, JA Malek, MM Awang - Environment and Social Psychology, 2024 - esp.as-pub.com
This study aims to use the BP neural network model to predict the monthly total number of
reported symptoms in preschool children, thereby achieving early warning for the total …