ArticleScience and technology of advanced materials2024
Aging heat treatment design for Haynes 282 made by wire-feed additive manufacturing using high-throughput experiments and interpretable machine learning.
Article in Science and technology of advanced materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Microstructural Evolution and Mechanical Properties of Investment-Cast Haynes 282 Nickel-Based Superalloy After Heat Treatment and High-Temperature Thermomechanical Processing.Materials (Basel, Switzerland) · 2026Article
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5 authors.
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Abstract
Wire-feed additive manufacturing (WFAM) produces superalloys with complex thermal cycles and unique microstructures, often requiring optimized heat treatments. To address this challenge, we present a hybrid approach that combines high-throughput experiments, precipitation simulation, and machine learning to design effective aging conditions for the WFAM Haynes 282 superalloy. Our results demonstrate that the γ' radius is the critical microstructural feature for strengthening Haynes 282 during post-heat treatment compared with the matrix composition and γ' volume fraction. New aging conditions at 770°C for 50 hours and 730°C for 200 hours were discovered based on the machine learning model and were applied to enhance yield strength, bringing it on par with the wrought counterpart. This approach has significant implications for future AM alloy production, enabling more efficient and effective heat treatment design to achieve desired properties.
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