Results 61 to 70 of about 12,385 (267)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Active radial clearance design method based on customized linear expansion coefficient

Hangkong gongcheng jinzhan
The active clearance control (ACC) technology for compressors in aero engines has slow deformation response, which is not suitable for military aero engines with drastic changes in throttle lever, and leads to the problem of excessive radial tip ...
ZHANG Shaoping, PANG Yanlong, CHEN Yanyan   +2 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

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

The Outlook of TBCC Integrated Energy Based on theSecondary Power System

Hangkong gongcheng jinzhan, 2019
The electrical generation, hydraulic power and pneumatic power of an aircraft is supplied by the secondary power system or the power extracted from engines by the secondary power system.
Wang Wei, Dong Aiqun, Li Dan
doaj   +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

Maximizing the Energy Output of Soft Electrohydraulic Generators

Advanced Science, EarlyView.
Many energy resources cannot be viably harvested with electromagnetic generators. This article evaluates the potential of soft electrohydraulic generators as an alternative approach for energy capture. An analytical model charts their operational limits and a rigorous experimental study results in new performance benchmarks with maximum specific energy
Sophie Kirkman, Ingemar Schmidt, Lawrence T. Smith, Steven L. Zhang, Shane K. Mitchell, Soo Jin Adrian Koh, Philipp Rothemund, Christoph Keplinger   +7 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

The development of a novel small ring specimen tensile testing technique

Ubiquity Proceedings, 2018
The use of small specimens in routine testing would reduce resource requirements, however, limitations exist due to concerns over size effects, manufacturing difficulties, uncertainties related to the application of representative loading conditions, and
J. Kazakeviciute, J.P. Rouse, C.J. Hyde
doaj   +1 more source

High Power Density, Low Temperature, Solid Oxide Fuel Cells at Elevated Oxygen Partial Pressure

Advanced Energy Materials, EarlyView.
Elevated pO2${{p}_{{{{\mathrm{O}}}_2}}}$ improves oxygen reduction reaction (ORR) kinetics, thus reducing electrode area specific resistance (ASR). The effect of pO2${{p}_{{{{\mathrm{O}}}_2}}}$ in open circuit potential (OCP) and ASR is demonstrated on both Sr0.5Sm0.5CoO3‐δ‐Gd0.1Ce0.9O2‐δ (SSC‐GDC) composite cathodes and our recently developed nano‐PSC
Samuel A. Horlick, Yi‐Lin Huang, Keith L. Duncan, Aniqa Anjum, Nathan B. Johnson, Alexandra P. Lam, Ian A. Robinson, Eric D. Wachsman   +7 more
wiley   +1 more source