Results 101 to 110 of about 16,800 (255)
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 +7 more
wiley +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 +4 more
wiley +1 more source
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 +9 more
wiley +1 more source
Study on Extrusion Forming of Superalloy Tube under Different Dies
, 2010 Extrusion die is a key factor in tube extrusion deformation. This paper, studying Inconel 690 alloy steel tube hot extrusion process by adopting Deform-2D software, analyses the influence of flat dies, cone die and flat-cone die on extrusion force ...
Chao Yang Sun +2 more
core +1 more source
Degradation mechanism for high-temperature sliding wear in surface-modified In718 superalloy
Cogent Engineering, 2018 This technical paper deals with high-temperature dry sliding wear behavior and its mechanism of Al2O3–50TiO2 (A50T) coating on Inconel 718 alloy. The sliding wear behavior of the A50T coating on Inconel 718 alloy was investigated using a pin on disc ...
KG. Thirugnanasambantham +8 more
doaj +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
, 2012 The purpose of this paper is to investigate the differences in mechanical response and microstructural behavior when the single-crystal Ni-based superalloy CMSX-4 is subjected to thermomechanical fatigue (TMF) in two different crystallographic directions,
Simonsson, Kjell, +3 more
core
International Journal of Electrochemical Science, 2018 Laser melting deposition (LMD) is typically used for forming and repairing large-scale complex nickel-based superalloy parts, such as aero engines. Defects occur on the surface and structure during LMD and after the completion of forming, so LMD-jet ...
Junzhi Liu +5 more
doaj +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
wiley +1 more source
Data "WAAM of a complex superalloy component"
Time-lapse videoWire Arc Additive Manufacturing complex Inconel 718 superalloy component. Research explored the feasibility of additively manufacturing superalloy components for high-speed flight and methods to enhance the performance of Wire Arc AM ...
Pardal, Goncalo +2 more
core +1 more source