Results 41 to 50 of about 231,961 (313)
This paper compares two data-driven frameworks for monitoring thermoacoustic instability (TAI) in a gas turbine combustor. A conventional machine learning approach using handcrafted features is contrasted with an end-to-end deep learning method employing
Jikang Wang +3 more
doaj +1 more source
Design Optimization of 1.5-Stage Transonic Compressor Based on BPNN Surrogate Model and NSGA-II
To achieve multi-objective aerodynamics design optimization for a 1.5-stage transonic compressor, a design platform incorporating blade parameterization methods, a BPNN surrogate model, and the NSGA-II optimization method was developed. The stagger angle
Xinlong Li +5 more
doaj +1 more source
Numerical heat transfer analysis of micro-scale jet-impingement cooling in a high-pressure turbine vane [PDF]
Karan Anand
openalex +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Research progress on application of new thermal barrier coatings in advanced aero-engines
The operating temperatures of hot-section components in advanced aero-engines continue to increase,accompanied by increasingly severe service conditions.
TIAN Wei, GUO Huiming, LIU Yanfei
doaj +1 more source
An innovative medium entropy alloy (MEA) composite material was fabricated via micro laser powder bed fusion (μ‐LPBF) with appropriate nano‐ceramic particles doping and exhibited markedly improved overall performance, including synergistically enhanced strength and ductility, increased hardness and compressive strength, improved wear resistance and ...
Zhonglin Shen, Mingwang Fu
wiley +1 more source
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 +5 more
doaj +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
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
Pneumatized inferior turbinate (concha bullosa of inferior turbinate)
The nasal cavity structures are prone to different anatomical variations; one of these is concha bullosa, which best known as pneumatization of the nasal turbinate. This pneumatization is a rare phenomenon to in the inferior turbinate. We report the case of an incidental finding of inferior turbinate concha bullosa in a 30- year-old female who ...
Elamaireh, Anas +3 more
openaire +3 more sources

