Nickel Superalloy Composition and Process Optimization for Weldability, Cost, and Strength
Document Type
Conference Proceeding
Publication Date
10-15-2025
Department
Department of Materials Science and Engineering
Abstract
Advanced power generation systems, including advanced ultrasupercritical (A-USC) steam and supercritical carbon dioxide (sCO2) plants operating above 700°C, are crucial for reducing carbon dioxide emissions through improved efficiency. While nickel superalloys meet these extreme operating conditions, their high cost and poor weldability present significant challenges. This study employs integrated computational materials engineering (ICME) strategies, combining computational thermodynamics and kinetics with multi-objective Bayesian optimization (MOBO), to develop improved nickel superalloy compositions. The novel approach focuses on utilizing Ni3Ti (η) phase strengthening instead of conventional Ni3(Ti,Al) (γ’) strengthening to enhance weldability and reduce costs while maintaining high-temperature creep strength. Three optimized compositions were produced and experimentally evaluated through casting, forging, and rolling processes, with their microstructures and mechanical properties compared to industry standards Nimonic 263, Waspaloy, and 740H. Weldability assessment included solidification cracking and stress relaxation cracking tests, while hot hardness measurements provided strength screening. The study evaluates both the effectiveness of the ICME design methodology and the practical potential of these cost-effective η-phase strengthened alloys as replacements for traditional nickel superalloys in advanced energy applications.
Publication Title
Advances in Materials, Manufacturing, and Repair for Power Plants
Recommended Citation
Mehl, S. A.,
Cole, A.,
Olson, T.,
Sanders, P.,
Shingledecker, J.,
&
Zhang, S.
(2025).
Nickel Superalloy Composition and Process Optimization for Weldability, Cost, and Strength.
Advances in Materials, Manufacturing, and Repair for Power Plants, 699-711.
http://doi.org/10.31399/asm.cp.am-epri-2024p0699
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/2136