Results 41 to 50 of about 2,102 (190)
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma +4 more
wiley +1 more source
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
Research on tool wear prediction based on Archard agglomeration scavenging theory
Nickel-based superalloy Inconel 718 has been widely used in the modern aviation field, however, its cutting performance is poor. This performance not only affects the effectiveness of the use of the tool but also reduces the efficiency of production.
Weichao Zhang +7 more
doaj +1 more source
Mechanical Properties of Graphene Reinforced Nickel-based P/M Superalloy
The graphene nanosheets were dispersed in the superalloy powder by using the wet mixing method, and then the nickel based FGH96 P/M superalloy was prepared with hot isostatic pressing(HIP)+hot extrusion(HEX)+hot isothermal forging(HIF)+heat treating(HT ...
JI Chuan-bo +3 more
doaj +1 more source
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Microstructural Material Analysis of Superalloy Inconel 792-5A after High Temperature Exposition
Aerospace industry often uses nickel superalloys for blades of jet engine turbines. The reason is that this material can satisfy numerous extreme requirements, such e.g. strength even at very high temperatures, resistance to fatigue damage, resistance to
Zdenek Jonsta +2 more
doaj +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Directionally solidified nickel-based superalloy exhibits anisotropic mechanical properties attributed to the removal of detrimental transverse grain boundaries.
Pingzhong Zhu +6 more
doaj +1 more source

