scholarly journals Computational Method Based on a Quasi-Conservative Formulation for Fluid Flows under Arbitrary Mach Number Condition (1st Report)

2003 ◽  
Vol 69 (682) ◽  
pp. 1386-1393
Author(s):  
Mikio AKAMATSU ◽  
Katsuhiro WATANABE
2021 ◽  
Vol 1104 (1) ◽  
pp. 012029
Author(s):  
Ashutosh Kumar ◽  
Rakesh Kumar Shukla ◽  
Kushagra S. Gusain ◽  
Aakash Sadar

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Alessandro Romei ◽  
Davide Vimercati ◽  
Alberto Guardone ◽  
Giacomo Persico

Abstract In high-temperature transcritical organic Rankine cycles (ORCs), the expansion process may take place in the neighborhood of the thermodynamic critical point. In this region, many organic fluids feature a value of the fundamental derivative of gas dynamics Γ that is less than unity. As a consequence, severe nonideal gas-dynamic effects can be possibly observed. Examples of these nonideal effects are the nonmonotonic variation of the Mach number along an isentropic expansion, oblique shocks featuring an increase of the Mach number, and a significant dependence of the flow field on the upstream total state. To tackle this latter nonideal effect, an uncertainty-quantification strategy combined with Reynolds-averaged flow simulations is devised to evaluate the turbine performance in presence of operational uncertainty. The results clearly indicate that a highly nonideal expansion process leads to an amplification of the operational uncertainty. Specifically, given an uncertainty in the order of 1% in cycle nominal conditions, the mass flow rate and cascade losses vary ±4% and ±0.75 percentage points, respectively. These variations are four and six times larger than those prompted by an ideal-like expansion process. The flow delivered to the first rotating cascade is severely altered as well, leading to local variations in the rotor incidence angle up to 10 deg. A decomposition of variance contributions reveals that the uncertainty in the upstream total temperature is mainly responsible for these variations. Finally, the understanding of the physical mechanism behind these changes allows us to generalize the present findings to other organic-fluid flows.


2013 ◽  
Vol 774-776 ◽  
pp. 326-334
Author(s):  
Da Wei Li ◽  
Jin Hao Qiu ◽  
Rui Nie ◽  
Hong Li Ji

This paper aims at study the technology of flow active control to increase the wing lift and weaken the wing drag by using the method of fluid mechanics. There are two new active control methods proposed in this paper. In this article, the computational method is expanded to a three-dimensional wing model to verify the validity of the new active control technology. Research shows that the partial active deformation can improve the aerodynamic characteristics of airfoil by appropriate parameters optimize, moreover the effect of rotation was better. In the condition of low Mach number and rotational control, the lift coefficient can be increased 11%, the drag coefficient can be decreased 40%. The shock wave will move backward by control in the condition of high Mach number. The control effect of 3D model is not as good as 2D model.


2015 ◽  
Vol 25 (06) ◽  
pp. 1045-1089 ◽  
Author(s):  
Yohan Penel ◽  
Stephane Dellacherie ◽  
Bruno Després

In order to enrich the modeling of fluid flows, we investigate in this paper a coupling between two models dedicated to distinct regimes. More precisely, we focus on the influence of the Mach number as the low Mach case is known to induce theoretical and numerical issues in a compressible framework. A moving interface is introduced to separate a compressible model (Euler with source term) and its low Mach counterpart through relevant transmission conditions. A global steady state for the coupled problem is exhibited. Numerical simulations are then performed to highlight the influence of the coupling by means of a robust numerical strategy.


2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Bilen Emek Abali ◽  
Ömer Savaş

Abstract In order to validate a computational method for solving viscous fluid flows, experiments are carried out in an eccentric cylindrical cavity showing various flow formations over a range of Reynolds numbers. Especially, in numerical solution approaches for isothermal and incompressible flows, we search for simple experimental data for evaluating accuracy as well as performance of the computational method. Verification of different computational methods is arduous, and analytic solutions are only obtained for simple geometries like a channel flow. Clearly, a method is expected to predict different flow patterns within a cavity. Thus, we propose a configuration generating different flow formations depending on the Reynolds number and make the experimental results freely available in order to be used as an assessment criterion to demonstrate the reliability of a new computational approach.


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