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Optimization of the Hot Extrusion Process for 6082 Aluminum Alloy W-Profile.

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Title: Optimization of the Hot Extrusion Process for 6082 Aluminum Alloy W-Profile.
Authors: Yang, Linqing1,2 (AUTHOR), Wang, Hongyan1,2 (AUTHOR), Shan, Qiangchao1,2 (AUTHOR), Qian, Cheng1,2 (AUTHOR), Li, Zulai1,2 (AUTHOR) lizulai@126.com, Xiao, Han1,2 (AUTHOR) kmxh@kust.edu.cn
Source: Journal of Materials Engineering & Performance. Nov2025, Vol. 34 Issue 22, p26625-26637. 13p.
Subjects: Extrusion process, Aluminum alloys, Microstructure, Tensile tests, Multiple regression analysis, Particle swarm optimization, Mechanical behavior of materials
Abstract: This study investigates the 6082 aluminum (Al) alloy with a complex cross-sectional geometry, focusing on the effects of various extrusion parameters on both the microstructure and mechanical properties of the profiles. The primary objective is to identify optimal parameters for the extrusion process. Initially, simulations were conducted to evaluate the temperature, velocity, and stress distributions within the profile under different extrusion temperatures and speeds, providing a foundational reference for subsequent hot extrusion experiments. Scanning electron microscopy (SEM) was then employed to analyze the microstructural morphology at the interface, the fracture morphology of tensile specimens, and the energy dispersive spectrum results for extruded profiles under various extrusion parameters. This analysis aimed to elucidate the effects of extrusion parameters on the microstructure of aluminum alloy profiles. The mechanical properties of the extruded profiles were assessed through tensile tests conducted at room temperature under varying extrusion conditions. Finally, a multiple linear regression model was utilized for data analysis to investigate the potential correlations between extrusion temperature, extrusion speed, and the performance characteristics of the aluminum alloy profiles. A comprehensive analysis of the hot extrusion experimental data was performed using linear regression algorithms, and the particle swarm optimization (PSO) algorithm was applied to ascertain the optimal extrusion parameters, which were determined to be 477.9 °C and 6.1 mm/s. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Materials Engineering & Performance is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 189358364
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  Data: Optimization of the Hot Extrusion Process for 6082 Aluminum Alloy W-Profile.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Linqing%22">Yang, Linqing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Hongyan%22">Wang, Hongyan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shan%2C+Qiangchao%22">Shan, Qiangchao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qian%2C+Cheng%22">Qian, Cheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zulai%22">Li, Zulai</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> lizulai@126.com</i><br /><searchLink fieldCode="AR" term="%22Xiao%2C+Han%22">Xiao, Han</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> kmxh@kust.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Materials+Engineering+%26+Performance%22">Journal of Materials Engineering & Performance</searchLink>. Nov2025, Vol. 34 Issue 22, p26625-26637. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Extrusion+process%22">Extrusion process</searchLink><br /><searchLink fieldCode="DE" term="%22Aluminum+alloys%22">Aluminum alloys</searchLink><br /><searchLink fieldCode="DE" term="%22Microstructure%22">Microstructure</searchLink><br /><searchLink fieldCode="DE" term="%22Tensile+tests%22">Tensile tests</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates the 6082 aluminum (Al) alloy with a complex cross-sectional geometry, focusing on the effects of various extrusion parameters on both the microstructure and mechanical properties of the profiles. The primary objective is to identify optimal parameters for the extrusion process. Initially, simulations were conducted to evaluate the temperature, velocity, and stress distributions within the profile under different extrusion temperatures and speeds, providing a foundational reference for subsequent hot extrusion experiments. Scanning electron microscopy (SEM) was then employed to analyze the microstructural morphology at the interface, the fracture morphology of tensile specimens, and the energy dispersive spectrum results for extruded profiles under various extrusion parameters. This analysis aimed to elucidate the effects of extrusion parameters on the microstructure of aluminum alloy profiles. The mechanical properties of the extruded profiles were assessed through tensile tests conducted at room temperature under varying extrusion conditions. Finally, a multiple linear regression model was utilized for data analysis to investigate the potential correlations between extrusion temperature, extrusion speed, and the performance characteristics of the aluminum alloy profiles. A comprehensive analysis of the hot extrusion experimental data was performed using linear regression algorithms, and the particle swarm optimization (PSO) algorithm was applied to ascertain the optimal extrusion parameters, which were determined to be 477.9 °C and 6.1 mm/s. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Materials Engineering & Performance is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11665-025-11203-8
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        Text: English
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        PageCount: 13
        StartPage: 26625
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      – SubjectFull: Extrusion process
        Type: general
      – SubjectFull: Aluminum alloys
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      – SubjectFull: Microstructure
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      – SubjectFull: Tensile tests
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      – SubjectFull: Multiple regression analysis
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      – SubjectFull: Particle swarm optimization
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      – SubjectFull: Mechanical behavior of materials
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      – TitleFull: Optimization of the Hot Extrusion Process for 6082 Aluminum Alloy W-Profile.
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            NameFull: Yang, Linqing
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            NameFull: Wang, Hongyan
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              Text: Nov2025
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