Results 91 to 100 of about 79,098 (317)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
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, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

A reinforced multi-strategy parrot optimization algorithm and its application in practical engineering optimization

Advances in Mechanical Engineering
To address the issues of low solution accuracy, premature convergence, and susceptibility to local optima in the Parrot Optimization (PO) algorithm, a Reinforced Multi-strategy Parrot Optimization (RMPO) algorithm has been designed.
Run-Meng Ma, Tong-Yi Wang, Xu-dong Zhang, Jin-Yong Xiao, Wei-peng Liu, Bei-bei Chen, Jie Yang   +6 more
doaj   +1 more source

Accelerated Optimization of Superalloys by Integrating Thermodynamic Calculation Data with Machine Learning Models: A Reference Alloy Approach

Metals
The multi-objective optimization of multicomponent superalloys has long been impeded by not only the complex interactions among multiple elements but also the low efficiency and high cost of traditional trial-and-error methods.
Yubing Pei, Zhenhuan Gao, Junjie Wu, Liping Nie, Song Lu, Jiaxin Tan, Ziyun Wu, Longfei Li, Xiufang Gong   +8 more
doaj   +1 more source

Scheduling and conducting power performance testing of a small wind turbine

, 2013
The global growth in small wind turbine (SWT) markets and in the number of SWT manufacturers has brought about an urgent need for more rigorous testing of SWTs in order to ensure safety, reliability and performance.
Malla, A., Whale, J., McHenry, M.P.
core  

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

Selective hydrometallurgical recovery of gold by using low-cost biomass waste: Kiwi peel

Adsorption Science & Technology
Utilization of kiwi peel (KP) is proposed for gold recovery from electronic wastes (e-wastes). KP was simply modified by dehydration pretreatment with concentrated sulfuric acid.
Dan Yu, Xiaomei Guo, Yang Liu
doaj   +1 more source

Design, techno-economic and environmental risk assessment of aero-derivative industrial gas turbine [PDF]

, 2012
Increased availability of natural gas has boosted research and development efforts to further increase gas turbine performance. Performance has been increased remarkably and unit cost reduced due to achievements gained in improving thermodynamic ...
Abaad, Abdelmanam
core  

Cost and losses associated with offshore wind farm collection networks which centralise the turbine power electronic converters

, 2013
Costs and losses have been calculated for several different network topologies, which centralise the turbine power electronic converters, in order to improve access for maintenance.
Anaya-Lara, Olimpo, Parker, Max
core   +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

Study on the influence of inducer and its guide vanes on cryogenic cavitation and pressure fluctuation characteristics of an LNG pump

Scientific Reports
Liquefied natural gas (LNG) pumps are prone to cavitation under cryogenic operation. This study establishes a numerical model to investigate the influence of an inducer and its guide vanes on the cavitation and pressure fluctuation characteristics of a ...
Xiaobao Zhang, Xiaomei Guo, Fengqin Li, Xiaoxiao Wei, Ping Li, Mingyu Yang   +5 more
doaj   +1 more source