Comprehensive optimization of thermo-mechanical processing for AA2024 alloy: Influence on tensile strength, ductility, hardness, and microstructure

This study investigates the optimization of thermo-mechanical processing parameters for AA2024 aluminum alloy, focusing on their effects on elongation at fracture, microhardness, and grain size. The Box-Behnken Design (BBD) was employed to systematically analyze the influence of cold deformation degree, annealing temperature, and holding time on these mechanical and microstructural properties. To validate the newly developed models for elongation, hardness, and grain size, the experimental condition was set to correspond to the condition yielding the maximum ultimate tensile strength (60% cold deformation, 460°C annealing, and 10 min holding time). Regression models were developed and demonstrated high predictive accuracy, with deviations between experimental and predicted values remaining below 5%. Additionally, an alternative processing condition (58.9% cold deformation, 460°C annealing, 18 min holding time) was identified through a multi-objective optimization approach to maximize elongation, minimize grain size, and achieve a target microhardness, with a predicted ultimate tensile strength of 598.5 MPa. These findings provide valuable guidelines for tailoring thermo-mechanical treatments of AA2024, ensuring an optimal balance between strength, ductility, and microstructure refinement for aerospace and structural applications.

Authors

Institutions

Publication Details

Journal
The Journal of Strain Analysis for Engineering Design
Published
2025-09-01
DOI
https://doi.org/10.1177/03093247251363780
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive optimization of thermo-mechanical processing for AA2024 alloy: Influence on tensile strength, ductility, hardness, and microstructure

Lai Dang Giang, Trần Đức Hoàn, Nguyễn Văn Chính
The Journal of Strain Analysis for Engineering Design
Aluminum Alloys Composites Properties
article

Comprehensive optimization of thermo-mechanical processing for AA2024 alloy: Influence on tensile strength, ductility, hardness, and microstructure

Lai Dang Giang, Trần Đức Hoàn, Nguyễn Văn Chính
article en

Abstract

This study investigates the optimization of thermo-mechanical processing parameters for AA2024 aluminum alloy, focusing on their effects on elongation at fracture, microhardness, and grain size. The Box-Behnken Design (BBD) was employed to systematically analyze the influence of cold deformation degree, annealing temperature, and holding time on these mechanical and microstructural properties. To validate the newly developed models for elongation, hardness, and grain size, the experimental condition was set to correspond to the condition yielding the maximum ultimate tensile strength (60% cold deformation, 460°C annealing, and 10 min holding time). Regression models were developed and demonstrated high predictive accuracy, with deviations between experimental and predicted values remaining below 5%. Additionally, an alternative processing condition (58.9% cold deformation, 460°C annealing, 18 min holding time) was identified through a multi-objective optimization approach to maximize elongation, minimize grain size, and achieve a target microhardness, with a predicted ultimate tensile strength of 598.5 MPa. These findings provide valuable guidelines for tailoring thermo-mechanical treatments of AA2024, ensuring an optimal balance between strength, ductility, and microstructure refinement for aerospace and structural applications.

The Journal of Strain Analysis for Engineering DesignVol. 61(2)
Le Quy Don Technical University (VN)
Openalex Percentile: Top 77%
Aluminum Alloys Composites Properties
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.

Comprehensive optimization of thermo-mechanical processing for AA2024 alloy: Influence on tensile strength, ductility, hardness, and microstructure — Lai Dang Giang, Trần Đức Hoàn, et al. · The Journal of Strain Analysis for Engineering Design (2025) | TGRS Research Map | TGRS