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Record W4408739314 · doi:10.1016/j.matdes.2025.113869

Recent advances in cost-effective aluminum alloys with enhanced mechanical performance for high-temperature applications: A review

2025· review· en· W4408739314 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials & Design · 2025
Typereview
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsUniversité du Québec à Chicoutimi
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceAluminiumNanotechnologyMetallurgyEngineering physicsEngineering

Abstract

fetched live from OpenAlex

• Recent advances in high-temperature and cost-effective aluminum alloys across various systems are critically evaluated. • Requirements of mechanical properties for cost-effective aluminum alloys differ in three high-temperature scenarios. • Design strategies to improve high-temperature mechanical performance are analyzed. • Precipitation of heat-resistant precipitates remains the predominant approach for improving mechanical properties. • Integrating various stable precipitates and microalloying elements significantly improve alloy performance. Developing aluminum alloys with excellent high-temperature (HT) mechanical performance is imperative for advancing a low-carbon, energy-efficient society. Over the past decade, research on the development of Al alloys for HT applications has significantly intensified. Key mechanical properties such as strength, creep resistance, and fatigue performance are critical for Al alloys operating above 250 °C. This review evaluates recent cost-effective innovations and outlines several design strategies for optimizing these properties, which includes the selection of heat-resistant precipitates, microalloying, and incorporating intermetallic compounds. The effectiveness of these approaches can vary significantly depending on Al systems. Improvements in mechanical performance across diverse systems, specifically Al-Cu, Al-Mn, Al-Mg, Al-Mg-Si, and Al–Si, has been critically reviewed. Precipitation strengthening remains the predominant approach for improving HT mechanical properties. Microalloying is proven to be an effective approach for facilitating the formation of fine and stable precipitates. The evolution of the mechanical properties at the HT of numerous alloys under various approaches, including strength, creep and fatigue properties, has been summarized. Although extensive research has been conducted for optimizing the microstructure and mechanical attributes, there remains considerable potential for further advancements in the HT performance of Al alloys, which can lead to breakthroughs in various industrial applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.270
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it