Results 81 to 90 of about 10,228 (247)

Computational Tools for Designing Ni-Base Superalloys

Superalloys 2004 (Tenth International Symposium), 2004
The main objective of this work is to develop a set of integrated computational tools that can be employed to design Ni-base superalloys. In particular, we developed reliable thermodynamic, kinetic and lattice parameter databases for the Ni-Al-Mo superalloys by combining first-principles calculations and CALPHAD (CALculation of PHAse Diagrams ...
J.Z. Zhu, S.H. Zhou, Y. Wang, T. Wang, L.Q. Chen, R.A. MacKay, Z.-K. Liu   +6 more
openaire   +1 more source

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

Advanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li, Liangyin Xiong, Mengchao Niu, Junhua Luan, Wei Wang, Zengbao Jiao   +5 more
wiley   +1 more source

Nicral ternary alloy having improved cyclic oxidation resistance [PDF]

, 1982
NiCrAl alloys are improved by the addition of zirconium. These alloys are in the Beta or gamma/gamma' + Beta region of the ternary system. Zirconium is added in a very low amount between 0.06 and 0.20 weight percent.
Barrett, C. A., Khan, A. S., Lowell, C. E.   +2 more
core   +1 more source

Evaluation of superalloy heavy-duty grinding based on multivariate tests [PDF]

, 2007
The quality and economy of grinding depend on proper selection of grinding conditions for the materials to be ground. In order to evaluate the effect of heavy-duty grinding, a new performance index, which includes specific material removal rate, size ...
Kalpakjian S., Malkin S., Montgomery D., N Gindy, Park S. H., Q Liu, X Chen   +6 more
core   +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, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Joining of γ-TiAl Alloy to Ni-Based Superalloy Using Ag-Cu Sputtered Coated Ti Brazing Filler Foil

Metals, 2018
Joining γ-TiAl alloy to Ni-based superalloy Hastelloy using Ag-Cu sputtered coated Ti foil as brazing filler was investigated in this study. Brazing experiments were performed at 900, 950, and 980 °C with a dwelling stage of 10 min in vacuum ...
Sónia Simões, Carlos José Tavares, Aníbal Guedes   +2 more
doaj   +1 more source

Solar Fuels Via Methane Valorization: Thermochemical Pathways, Unified Metrics, and Techno‐Economic Perspectives

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, Amjad Othman, Majid Linjawi, Amro Al‐Qutub   +3 more
wiley   +1 more source

Experimental Study and Computer Simulation of Fracture Toughness of Ni Base Superalloy using CT Specimen

International Journal of Engineering Materials and Manufacture, 2018
Due to superior mechanical and metallurgical performance, Nickel-base Alloys 617 and 276 have been considered as structural material for used in complex and stochastic applications.
Muhammad Hasibul Hasan, Chahat Soi, Azin Mirzajavadkhan, Saba Rafieian, Mirt Mehany   +4 more
doaj   +1 more source

Application of Machine Learning in Heat Treatment Process Design of Carburized Steel

Materials Genome Engineering Advances, EarlyView.
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang, Yihao Zheng, Chunyang Luo, Xuefei Wang, Chi Zhang, Zhaodong Wang   +5 more
wiley   +1 more source

Microstructure and mechanical properties of novel Ni–Cr–Co-based superalloy GTAW joints

Journal of Materials Research and Technology
Recently, a novel Ni–Cr–Co-based superalloy has been developed in China, exhibiting exceptional overall characteristics such as favorable mechanical properties at 800 °C, resistance to corrosion and oxidation, as well as remarkable welding capabilities ...
Jiazhe Song, Yuhua Chen, Xianchao Hao, Min Wang, Yingche Ma, Jilin Xie   +5 more
doaj   +1 more source