Results 71 to 80 of about 269,756 (289)

Additively Manufactured Porous Ceramics as Tunable Dielectrics for Passive Temperature Sensing

Advanced Materials Technologies, EarlyView.
Porous ceramic lattices, 3D‐printed from a multicomponent oxide ink, are integrated with LC resonators for passive wireless temperature sensing. By tuning porosity, the dielectric properties and RF response are engineered to produce distinct resonant frequency shifts with temperature. The results establish a structure‐driven approach to customizing the
Sogol Heidarishahrivar, Aminul Islam, Chang Woo Gal, Insup Kim, Yeong‐Jin Choi, Woo Soo Kim   +5 more
wiley   +1 more source

Aeromechanical optimization of first row compressor test stand blades using a hybrid machine learning model of genetic algorithm, artificial neural networks and design of experiments

Engineering Applications of Computational Fluid Mechanics, 2019
In this paper, optimization of the first blade of a new test rig is pursued using a hybrid model comprising the genetic algorithm, artificial neural networks and design of experiments.
Mohammad Ghalandari, Alireza Ziamolki, Amir Mosavi, Shahaboddin Shamshirband, Kwok-Wing Chau, Saeed Bornassi   +5 more
doaj   +1 more source

Waveguide Photoactuators: Materials, Fabrication, and Applications

Advanced Robotics Research, EarlyView.
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi, Hemin Pan, Yang Zong, Yongfeng Mei, Jizhai Cui   +4 more
wiley   +1 more source

Experimental study of yawed inflow around wind turbine rotor [PDF]

, 2012
In this article, we present an experimental study in a wind tunnel of a three-bladed, Rutland 503 model, horizontal axis yawed wind turbine. Power measurement and an exploration downstream wake of the turbine using particle image velocimetry measurements
MASSOUH, Fawaz, NOURA, Belkheir, KHELLADI, Sofiane, DOBREV, Ivan, DIZENE, Rabah   +4 more
core   +1 more source

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

Crack propagation mechanism and life prediction of liner under thermal fatigue loads

Scientific Reports
To address the crack propagation issue in thin-walled multi-inclined-hole liners of aero-engine combustion chambers during service, a high-fidelity thermo-fluid-structure interaction (TFSI) numerical methodology was systematically developed in ...
Xinlin Wang, Wu Li, Mingxin Zheng, Qinghua Zeng, Yinhuai Li, Huiping Yang, Chengji Wang   +6 more
doaj   +1 more source

Numerical Investigation of the Effects of Leakage Flow From Guide Vanes of Francis Turbines using Alternative Clearance Gap Method

Journal of Applied Fluid Mechanics, 2020
Flow around the Guide vanes (GV) in Francis turbine differs with the shape of hydrofoils. The difference in the pressure of fluid travelling to pressure side and suction side of GV contributes to flow behavior. This study presents the numerical technique
S. Gautam, H. P. Neopane, B. S. Thapa, S. Chitrakar, B. Zhu   +4 more
doaj  

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

Experimental and Computational Analysis of the Unstable Flow Structure in a Centrifugal Compressor with a Vaneless Diffuser

Chinese Journal of Mechanical Engineering, 2019
The unstable flow phenomena in compressors, such as stall and surge, are closely related to the efficiency and the operating region. It is indispensable to capture the unstable flow structure in compressors and understand the mechanism of flow ...
Xiang Xue, Tong Wang
doaj   +1 more source