Results 31 to 40 of about 2,156 (181)

NUMERICAL STUDIES OF INTERNAL FLOW IN DIFFERENT TYPES OF FILTERS

TASK Quarterly, 2020
The quality of ambient air attracts considerable, widespread interest. Over the last decades, air purification has become an integral part of HVAC systems, process engineering, automotive and respiratory protection.
MAGDALENA STANIK, SZYMON CABAN, MARLENA KLONECKA, MATEUSZ BUCZAK, PIOTR WIŚNIEWSKI   +4 more
doaj   +1 more source

Study on Humid Air Turbine Cooling Technique

发电技术, 2021
In order to study the influence of humid air on the cooling performance of turbine blade and build the cooling performance prediction model of humid air turbine, the experimental platform of normal pressure turbine blade cooling was established, and the ...
Hua ZHU, Biao YAN, Yusong LIU, Liang LI
doaj   +1 more source

Design and Numerical Analysis of Recuperator for a Liquid Carbon Dioxide Energy Storage System

Applied Sciences, 2023
A liquid carbon dioxide energy storage (LCES) system has the characteristic of compact structure and easy liquefaction. As a component of heat recovery in the LCES system, the recuperator plays a crucial role in influencing the round trip efficiency (RTE)
Zhao Liu, Min Wang, Yu Song, Mengjuan Xu
doaj   +1 more source

Reverse Engineering and Performance Evaluation of a Pump Impeller Fabricated With Additive Manufacturing

Chemie Ingenieur Technik, EarlyView.
This study explores the process chain for reverse engineering and additive manufacturing of a water pump impeller in a process plant. Key aspects include digital twin creation, CAD redesign, material certification, Hirtisation postprocessing, and performance testing. Insights highlight iterative design for improved precision and reliability.
Michael Stadler, Kati Schatz, Sebastian Rehfeldt, Harald Klein   +3 more
wiley   +1 more source

Aerodynamic and Aeroelastic Effects of Design-Based Geometry Variations on a Low-Pressure Compressor

International Journal of Turbomachinery, Propulsion and Power, 2020
In modern aircraft engines, the low-pressure compressor (LPC) is subjected to a flow characterized by strong wakes and secondary flows from the upstream fan. This concerns ultra-high bypass ratio (UHBR) turbofan engines, in particular.
Torben Eggers, Hye Rim Kim, Simon Bittner, Jens Friedrichs, Joerg R. Seume   +4 more
doaj   +1 more source

Business Model Bundles: Implications for Innovation in the Circular Economy

Journal of Product Innovation Management, EarlyView.
ABSTRACT Business model (BM) innovation is essential to the transition towards a circular economy, yet customers often resist circular BMs. This study investigates how manufacturers can innovate BMs for circularity in ways that increase customer acceptance.
Miying Yang, Steve Evans
wiley   +1 more source

Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number [PDF]

Wind Energy Science
This study shows an extensive analysis of dynamic stall on wind turbine airfoils, preparing for the development of a reduced-order model applicable to thick airfoils (t/c>0.21) in the future.
H. R. Kim, J. A. Printezis, J. D. Ahrens, J. R. Seume, L. Wein   +4 more
doaj   +2 more sources

Heat transfer and film cooling measurements on aerodynamic geometries relevant for turbomachinery

SN Applied Sciences, 2021
A measurement technique for recording convective heat transfer coefficient and adiabatic film cooling effectiveness in demanding environments with highly curved surfaces and limited optical access, such as turbomachinery, is presented.
Patrick Jagerhofer, Jakob Woisetschläger, Gerhard Erlacher, Emil Göttlich   +3 more
doaj   +1 more source

Conditional Generative Adversarial Networks for modelling fuel sprays

Energy and AI, 2023
In this study, the probabilistic, data driven nature of the generative adversarial neural networks (GANs) was utilized to conduct virtual spray simulations for conditions relevant to aero engine combustors.
Cihan Ates, Farhad Karwan, Max Okraschevski, Rainer Koch, Hans-Jörg Bauer   +4 more
doaj   +1 more source

Shape Optimization of a Hydraulic Turbine Using Deep Reinforcement Learning

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT The present study explores the potential of deep reinforcement learning for the geometric optimization of a hydraulic turbine and compares its performance with that of an evolutionary algorithm. Shape optimization in fluid mechanics often leads to high‐dimensional, highly non‐linear problems, requiring efficient methods to approximate global ...
Simon Eyselein, Tobias Rentschler, Alexander Tismer, Stefan Riedelbauch   +3 more
wiley   +1 more source