Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Zafar Bangash"'
Autor:
Arshan Ahmed, Atta ul Mannan Hashmi, Fahad Rafi Butt, Zafar Bangash, Shahbaz Ghani, Imran Akhtar
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 237:1672-1680
Heat exchangers provide means to maintain the temperature of a system at its desired level. In this paper, numerical simulations of a heat exchanger with staggered arrangement of elliptical-shaped tubes have been performed to analyze its performance.
Publikováno v:
Fluids, Vol 6, Iss 9, p 332 (2021)
In this paper, an artificial neural network (ANN)-based reduced order model (ROM) is developed for the hydrodynamics forces on an airfoil immersed in the flow field at different angles of attack. The proper orthogonal decomposition (POD) of the flow
Externí odkaz:
https://doaj.org/article/67572c55c594445fa885014476ce9e19
Publikováno v:
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 235:2517-2528
In this article, we introduce a machine learning–based reduced-order modeling (ML-ROM) framework through the integration of proper orthogonal decomposition (POD) and deep neural networks (DNNs), in addition to long short-term memory (LSTM) networks
Publikováno v:
Journal of Mechanical Science and Technology. 35:153-158
Proper orthogonal decomposition (POD) is often employed in developing reduced-order models (ROM) in fluid flows for design, control, and optimization. Contrary to the usual practice where velocity field is the focus, we apply the POD analysis on the
Publikováno v:
Fluids, Vol 6, Iss 332, p 332 (2021)
Fluids
Volume 6
Issue 9
Fluids
Volume 6
Issue 9
In this paper, an artificial neural network (ANN)-based reduced order model (ROM) is developed for the hydrodynamics forces on an airfoil immersed in the flow field at different angles of attack. The proper orthogonal decomposition (POD) of the flow
Publikováno v:
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST).
In this paper, data-driven and physics-embedded deep neural networks (DNN) are analyzed as potential candidates for flow field reconstruction in fluid mechanics applications. The data-driven and physics-based algorithms are employed to model the cano
Publikováno v:
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST).
Experimental techniques to measure fluid flow fields often contain measurement noise and corruption leading to missing velocity vectors that degrade data-driven analysis like POD, DMD etc. that are mostly based on least-squares. Here we use a statist
Publikováno v:
2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
Most of the modifications in flow control surfaces are bioinspired resulting in enhanced lift and thrust efficiency. In nature, hump back whales have evolved with tubercles at the leading-edge (L.E.) of their flippers. There is a strong evidence from
Publikováno v:
Journal of Fluids and Structures. 48:81-92
A series of experiments describing the dynamic response resulting from vortex shedding excitation, on isolated long flexible cylinders with two different low mass ratios (mass to displaced fluid mass), are presented. The cylinder models had aspect ra