Multi-objective optimization design and verification of extrusion die structure for TC4 titanium alloy Y-section profile

This study focuses on the multi-objective optimization design of high-temperature extrusion die structures for TC4 titanium alloy Y-shaped profiles used in the aerospace field. A high-precision Hansel-Spittel constitutive model of TC4 titanium alloy was established to provide a basis for numerical simulation analysis. The accuracy of the model was verified by the correlation coefficient ( R = 0.9910) and the average absolute relative error (AARE = 8.90%), demonstrating its capability to accurately characterize the material’s flow behavior. Combining numerical simulation with a multi-objective optimization algorithm, a second-order response surface model was developed based on the Box-Behnken experimental design to relate die structural parameters to optimization objectives. The optimal die structure was obtained using the NSGA-II genetic algorithm. Results indicated that compared to the initial structure, the optimized die achieved: A 96.6% reduction in the relative exit velocity difference of the profile; A 7.44% decrease in the maximum surface temperature difference; A 4% reduction in extrusion force. This research provides a critical reference for extrusion die design and process optimization in related industrial applications. The optimized die structure was manufactured and subjected to actual hot extrusion experiments, demonstrating observable quality enhancement of the profile.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-09-24
DOI
https://doi.org/10.1016/j.jmrt.2025.09.215
Citations
2
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
1.73
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article

Multi-objective optimization design and verification of extrusion die structure for TC4 titanium alloy Y-section profile

Changyuan Jia, Xubo Qin, Chunhui Dai, Yang Qi et al.
2 citations
Journal of Materials Research and Technology
Metallurgy and Material Forming
1.73
article

Multi-objective optimization design and verification of extrusion die structure for TC4 titanium alloy Y-section profile

Changyuan Jia, Xubo Qin, Chunhui Dai, Yang Qi, Wenwen Wu, Weizhong Feng
article en
2 citations

Abstract

This study focuses on the multi-objective optimization design of high-temperature extrusion die structures for TC4 titanium alloy Y-shaped profiles used in the aerospace field. A high-precision Hansel-Spittel constitutive model of TC4 titanium alloy was established to provide a basis for numerical simulation analysis. The accuracy of the model was verified by the correlation coefficient ( R = 0.9910) and the average absolute relative error (AARE = 8.90%), demonstrating its capability to accurately characterize the material’s flow behavior. Combining numerical simulation with a multi-objective optimization algorithm, a second-order response surface model was developed based on the Box-Behnken experimental design to relate die structural parameters to optimization objectives. The optimal die structure was obtained using the NSGA-II genetic algorithm. Results indicated that compared to the initial structure, the optimized die achieved: A 96.6% reduction in the relative exit velocity difference of the profile; A 7.44% decrease in the maximum surface temperature difference; A 4% reduction in extrusion force. This research provides a critical reference for extrusion die design and process optimization in related industrial applications. The optimized die structure was manufactured and subjected to actual hot extrusion experiments, demonstrating observable quality enhancement of the profile.

Journal of Materials Research and TechnologyVol. 39
Central South University (CN), Beijing Automotive Group (China) (CN)
Openalex Percentile: Top 15%
Metallurgy and Material Forming
1.73
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