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Brownout Simulations of Model-Rotors In Ground Effect [PDF]

MATEC Web of Conferences, 2020
In this work computational fluid dynamics is used to validate experimental results for a two-bladed small rotor In Ground Effect conditions. The paper focuses on the evaluation and prediction of the rotor outwash generated in ground effect. Time-averaged
Rovere F., Barakos G.N., Steijl R.
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Three-Dimensional CFD Model Development and Validation for Once-Through Steam Generator (OTSG): Coupling Combustion, Heat Transfer and Steam Generation

ChemEngineering, 2022
The current research studies the coupled combustion inside the furnace and the steam generation inside the radiant and convection tubes through a typical Once-Through Steam Generator (OTSG).
Ehsan Askari Mahvelati, Mario Forcinito, Laurent Fitschy, Arthur Maesen   +3 more
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Integrated optimization of geometrical parameters and flow variables for industrial incinerator performance improvement

Results in Engineering, 2023
Industrial incinerators play a vital role in waste disposal, yet their operations carry significant environmental and efficiency consequences. The current study aimed to optimize an industrial incinerator using a multi-objective algorithm in which the ...
Mohammadhossein Hadadiyan, Hamed Arjmandi, Ousmane Abderrahmane Deme, Mohammad Javad Eghbali   +3 more
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Aeroacoustic and Aerodynamic Adjoint-Based Shape Optimization of an Axisymmetric Aero-Engine Intake

Aerospace, 2023
A continuous adjoint-based aeroacoustic optimization, based on a hybrid model including the Ffowcs Williams–Hawkings (FW–H) acoustic analogy, to account for the multidisciplinary design of aero-engine intakes with an axisymmetric geometry, is presented ...
Morteza Monfaredi, Varvara Asouti, Xenofon Trompoukis, Konstantinos Tsiakas, Kyriakos Giannakoglou   +4 more
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Generation of Realistic Boundary Conditions at the Combustion Chamber/Turbine Interface Using Large-Eddy Simulation

Energies, 2021
Numerical simulation of multiple components in turbomachinery applications is very CPU-demanding but remains necessary in the majority of cases to capture the proper coupling and a reliable flow prediction.
Benjamin Martin, Florent Duchaine, Laurent Gicquel, Nicolas Odier   +3 more
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Predicting the Impact of Academic Key Factors and Spatial Behaviors on Students’ Performance

Applied Sciences, 2022
Quality education is necessary as it provides the basis for equality in society. It is also significantly important that educational institutes be focused on tracking and improving the academic performance of each student.
Muhammad Hammad Musaddiq, Muhammad Shahzad Sarfraz, Numan Shafi, Rabia Maqsood, Awais Azam, Muhammad Ahmad   +5 more
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Mathematical model of mechanobiology of acute and repeated synaptic injury and systemic biomarker kinetics

Frontiers in Cellular Neuroscience, 2023
BackgroundBlast induced Traumatic Brain Injury (bTBI) has become a signature casualty of military operations. Recently, military medics observed neurocognitive deficits in servicemen exposed to repeated low level blast (LLB) waves during military heavy ...
Hamidreza Gharahi, Harsha T. Garimella, Zhijian J. Chen, Raj K. Gupta, Andrzej Przekwas   +4 more
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Continuous Adjoint-Based Optimization of an Internally Cooled Turbine Blade—Mathematical Development and Application

International Journal of Turbomachinery, Propulsion and Power, 2021
This paper presents an adjoint-based shape optimization framework and its demonstration in a conjugate heat transfer problem in a turbine blading. The gradient of the objective function is computed based on the continuous adjoint method, which also ...
Xenofon Trompoukis, Konstantinos Tsiakas, Varvara Asouti, Marina Kontou, Kyriakos Giannakoglou   +4 more
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Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength

npj Computational Materials, 2022
Refractory high-entropy alloys (RHEAs) show significant elevated-temperature yield strengths and have potential to use as high-performance materials in gas turbine engines.
Stephen A. Giles, Debasis Sengupta, Scott R. Broderick, Krishna Rajan   +3 more
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Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties

Fluids, 2023
This paper investigates the adequacy of radial basis function (RBF)-based models as surrogates in uncertainty quantification (UQ) and CFD shape optimization; for the latter, problems with and without uncertainties are considered. In UQ, these are used to
Varvara Asouti, Marina Kontou, Kyriakos Giannakoglou   +2 more
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