Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters

Abstract Electroplastic effects present in the electrically assisted (EA) forming process can reduce flow stresses and improve the forming properties of metallic materials. The construction of an intrinsic model is important for the analysis and optimization of the deformation process. This study, therefore, has presented an intrinsic model for the heterogeneous layers of Ti–Al composite plates, incorporating temperature and current parameters. This model is designed to forecast the flow stresses within these heterogeneous layers during EA forming. By employing ABAQUS finite element software, we conducted a finite element analysis of the EA forming process. A modified heterogeneous layer ontology model for Ti-Al composite plates was used in this process. We compared the stress–strain curves obtained from the experimental data with those simulated by our model and conducted a thorough error analysis. The findings indicate that our model, with an R value of 0.9910, an AARE of 3.79%, and an RMSE of 6.55, provides a highly accurate prediction of flow stresses during the EA forming of Ti-Al composite plates. This work is also highly important for optimizing the current-assisted forming process and improving the forming quality and efficiency of Ti-Al composite plate components.

Authors

Institutions

Publication Details

Journal
Materials Research Express
Published
2025-04-01
DOI
https://doi.org/10.1088/2053-1591/adc0ef
Citations
1
Primary Topic
Electromagnetic Effects on Materials
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters

Yuling Zhai, Binghui Xing, Tao Huang, Chaomin Zhang et al.
1 citations
Materials Research Express
Electromagnetic Effects on Materials
0.73
article

Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters

Yuling Zhai, Binghui Xing, Tao Huang, Chaomin Zhang, Nan Xiang, Wenjing Zhang, Lei Shi
article en
1 citations

Abstract

Abstract Electroplastic effects present in the electrically assisted (EA) forming process can reduce flow stresses and improve the forming properties of metallic materials. The construction of an intrinsic model is important for the analysis and optimization of the deformation process. This study, therefore, has presented an intrinsic model for the heterogeneous layers of Ti–Al composite plates, incorporating temperature and current parameters. This model is designed to forecast the flow stresses within these heterogeneous layers during EA forming. By employing ABAQUS finite element software, we conducted a finite element analysis of the EA forming process. A modified heterogeneous layer ontology model for Ti-Al composite plates was used in this process. We compared the stress–strain curves obtained from the experimental data with those simulated by our model and conducted a thorough error analysis. The findings indicate that our model, with an R value of 0.9910, an AARE of 3.79%, and an RMSE of 6.55, provides a highly accurate prediction of flow stresses during the EA forming of Ti-Al composite plates. This work is also highly important for optimizing the current-assisted forming process and improving the forming quality and efficiency of Ti-Al composite plate components.

Materials Research ExpressVol. 12(4)
Henan University of Science and Technology (CN), Henan Academy of Sciences (CN), General Research Institute for Nonferrous Metals (China) (CN), China Nonferrous Metal Mining (China) (CN), Grinm Advanced Materials (China) (CN), State Key Laboratory of Nonferrous Metals and Processes, Huazhong University of Science and Technology (CN), Luoyang Institute of Science and Technology (CN)
National Natural Science Foundation of China, Beijing Nova Program
Openalex Percentile: Top 30%
Electromagnetic Effects on Materials
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.