Results 81 to 90 of about 2,044 (211)

First-Principles Study on Si Atom Diffusion Behavior in Ni-Based Superalloys. [PDF]

Materials (Basel), 2023
Sun Y, Wang Z, Du M, Du Y, Zhang W.
europepmc   +1 more source

The spray forming of Ni based superalloys

, 1995
The main aim has been to investigate the effect of process parameters on the spray forming of UDIMET 720 and in particular to understand the mechanism of grain size evolution in the deposit using a combination of experimental and computer modelling techniques.
Underhill, R, Underhill, R. P.
openaire   +2 more sources

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
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, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

High Energy Density Welding of Ni-Based Superalloys: An Overview

Metals
High energy density technologies for welding processes provide opportune solutions to joint metal materials and repair components in several industrial applications.
Riccardo Donnini, Alessandra Varone, Alessandra Palombi, Saveria Spiller, Paolo Ferro, Giuliano Angella   +5 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
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, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Ab Initio Simulation of Structure and Properties in Ni-Based Superalloys: Haynes282 and Inconel740. [PDF]

Materials (Basel), 2023
Ching WY, San S, Zhou C, Sakidja R.
europepmc   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
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, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Evaluating Wagner Oxidation Criteria for Protective Al₂O₃ Scale Formation in Ni-Based Superalloys. [PDF]

High Temp Corros Mater, 2023
Wo JWX, Hardy MC, Stone HJ.
europepmc   +1 more source

Chemically Gradient Ordered Nanodomains Enable Large Tensile Ductility in Gigapascal Lightweight Refractory High‐Entropy Alloys

Advanced Science, EarlyView.
A high‐strength lightweight refractory high‐entropy alloy achieves extraordinary ductility owing to the introduction of coherent chemically gradient ordered nanodomains (CGONs). The CGONs not only serve as effective barriers to dislocation motion (strengthening) but also significantly promote dislocation nucleation and multiplication (ductilizing) upon
Wei Zhang, Dingshun Yan, Yong Zhang, Zhiming Li   +3 more
wiley   +1 more source

Simultaneous strength optimization and recrystallization prevention in induction-heating-assisted laser additively manufactured Ni-based superalloys

Materials Research Letters
Induction heating favors crack inhibition for laser additive manufacturing of Ni-based superalloys but may negatively influence columnar grain growth and mechanical properties.
Yizhou Zhao, Zhaowei Wang, Lin Shi, Shubo Gao, Dan Qian, Kai Chen, Yao Li, Wolfgang Pantleon   +7 more
doaj   +1 more source