Aging heat treatment design for Haynes 282 made by wire-feed additive manufacturing using high-throughput experiments...

Area of Science:

• Materials Science
• Metallurgy
• Additive Manufacturing

Background:

• Wire-feed additive manufacturing (WFAM) of superalloys results in complex microstructures due to thermal cycles.
• Optimized post-heat treatments are crucial for achieving desired mechanical properties in AM superalloys.

Purpose of the Study:

• To develop an efficient method for designing heat treatments for WFAM Haynes 282 superalloy.
• To identify critical microstructural features influencing strengthening during aging.

Main Methods:

• A hybrid approach combining high-throughput experiments, precipitation simulation, and machine learning.
• Analysis of microstructural features such as gamma prime (γ') radius, volume fraction, and matrix composition.
• Experimental validation of newly designed aging conditions.

Main Results:

• The gamma prime (γ') radius was identified as the most critical microstructural feature for strengthening Haynes 282.
• New aging conditions (770°C for 50 hours and 730°C for 200 hours) were discovered using the machine learning model.
• The optimized heat treatments successfully enhanced the yield strength of WFAM Haynes 282 to levels comparable to wrought counterparts.

Conclusions:

• The developed hybrid approach enables efficient and effective heat treatment design for AM superalloys.
• This methodology significantly advances the potential for producing high-performance AM alloys.
• Optimizing aging conditions based on critical microstructural features is key to unlocking the full potential of WFAM superalloys.