Computational Fluid Dynamics: A Design Tool for Aircraft Industries

Author(s):  
P. Srinivasa Murthy
Author(s):  
Sunita Kruger ◽  
Leon Pretorius

In this paper, the use of computational fluid dynamics is evaluated as a design tool to investigate the indoor climate of a confined greenhouse. The finite volume method using polyhedral cells is used to solve the governing mass, momentum and energy equations. Natural convection in a cavity corresponding to a mono-span venlo-type greenhouse is numerically investigated using Computational Fluid Dynamics. The CFD model is designed so as to simulate the climate above a plant canopy in an actual multi-span greenhouse heated by solar radiation. The aim of this paper is to investigate the influence of various design parameters such as pitch angle and roof asymmetry and on the velocity and temperature patterns inside a confined single span greenhouse heated from below. In the study reported in this paper a two-dimensional CFD model was generated for the mono-span venlo-type greenhouse, and a mesh sensitivity analysis was conducted to determine the mesh independence of the solution. Similar two-dimensional flow patterns were observed in the obtained CFD results as the experimental results reported by Lamrani et al [2]. The CFD model was then modified and used to explore the effect of roof pitch angle and roof asymmetry at floor level on the development of the flow and temperature patterns inside the cavity for various Rayleigh numbers. Results are presented in the form of vector and contour plots. It was found that considerable temperature and velocity gradients were observed in the centre of the greenhouse for each case in the first 40mm above the ground, as well as in the last 24mm close to the roof. Results also indicated that the Rayleigh number did not have a significant impact on the flow and temperature patterns inside the greenhouse, although roof angle and asymmetry did. The current results demonstrate the importance of CFD as a design tool in the case of greenhouse design.


Author(s):  
Steve J. Brookes ◽  
R. Stewart Cant ◽  
Iain D. J. Dupere ◽  
Ann P. Dowling

It is well known that lean premixed combustion systems potentially offer better emissions performance than conventional non-premixed designs. However, premixed combustion systems are more susceptible to combustion instabilities than non-premixed systems. Combustion instabilities (large-scale oscillations in heat release and pressure) have a deleterious effect on equipment, and also tend to decrease combustion efficiency. Designing out combustion instabilities is a difficult process and, particularly if many large-scale experiments are required, also very costly. Computational fluid dynamics (CFD) is now an established design tool in many areas of gas turbine design. However, its accuracy in the prediction of combustion instabilities is not yet proven. Unsteady heat release will generally be coupled to unsteady flow conditions within the combustor. In principle, computational fluid dynamics should be capable of modelling this coupled process. The present work assesses the ability of CFD to model self-excited combustion instabilities occurring within a model combustor. The accuracy of CFD in predicting both the onset and the nature of the instability is reported.


Author(s):  
Prabhat Tekriwal

A typical cooking range design requires that UL temperature requirements be met on outside surfaces for consumer safety. Another important consumer preference is that the range oven cavity be large in capacity so that it provides more cooking flexibility to consumers. These two requirements are in conflict with each other from design standpoint. CFD (Computational Fluid Dynamics) has proven to be a good design tool in balancing these opposing requirements and providing a optimum design without having to experiment with several design options and prototyping. The width of the air-wash that is used to cool the cooking range door through natural convection has been optimized with the aid of computational fluid dynamics. Increasing the air-wash width helps reduce the door surface temperature up to certain point, beyond which no gains in temperature reduction are realized.


1997 ◽  
Vol 32 (4) ◽  
pp. 305-312 ◽  
Author(s):  
M.J. Clifford ◽  
P.J. Everitt ◽  
R. Clarke ◽  
S.B. Riffat

2020 ◽  
Vol 28 ◽  
pp. 33-55
Author(s):  
Oluwasanmi Olabode ◽  
Gerald Egeonu ◽  
Richard Afolabi ◽  
Charles Onuh ◽  
Chude Okonji

The design and operation of subsea pipelines over the life-cycle of an asset is vital for continuous oil and gas production. Qualitative design and effective production operation of pipelines depend on fluid type(s) involved in the flow; and in the case of multiphase flow, the need to understand the behaviour of the fluids becomes more imperative. This work presented in this report is borne out of the need for more accurate ways of predicting multiphase flow parameters in subsea pipelines with hilly-terrain profiles by better understanding their flow behaviors. To this end, Computational Fluid Dynamics has been used as against existing experimental and mechanistic methods which have inherent shortcomings. The results showed that multiphase flow parameters including flow-regimes, liquid hold-up and pressure drop in hilly-terrain pipelines can be modelled without associated errors in existing techniques. Similarity in trend was found when results of pressure gradient in downward-incline pipe were compared with results from existing correlations and mechanistic method. CFD can be used as a design tool and also a research tool into the understanding of the complexities of multiphase flow in hilly-terrain pipelines towards qualitative design and effective operation of hilly-terrain pipelines.


2018 ◽  
Vol 18 (5) ◽  
pp. 1518-1530 ◽  
Author(s):  
Jie Zhang ◽  
Tien Yee

Abstract Flow near pump intakes is three-dimensional in nature, and is affected by many factors such as the geometry of the intake bay, uniformity of approach flow, critical submergence, placements and operation combinations of pumps and so on. In the last three decades, advancement of numerical techniques coupled with the increase in computational resources made it possible to conduct computational fluid dynamics (CFD) simulations on pump intakes. This article reviews different aspects involved in CFD modeling of pump station intakes, outlines the challenges faced by current CFD modelers, and provides an attempt to forecast future direction of CFD modeling of pump intakes.


Author(s):  
Alexandra Ebbinghaus ◽  
Jim Swithenbank

Computational fluid dynamics and experiments have been used to study the mixing of multiple jets in a can combustor. An existing configuration having a poor exit temperature profile was chosen as the baseline case. In the computations, the air split and axial location of the primary, secondary and dilution jets were held constant while the number of jets at each location were varied parametrically to determine their effect on the exit temperature profile. As a result of these studies, two configurations were selected for experimental verification of the anticipated improved performance. The modified design was found to have a more uniform exit temperature profile than the baseline case. Thus the experimental results generally confirmed the predictions and demonstrated the potential utility of CFD as a design tool.


2002 ◽  
Vol 30 (3) ◽  
pp. 198-212 ◽  
Author(s):  
T. Rooney ◽  
J. Satrape ◽  
S. Liu

Abstract All terrain vehicles (ATV) travel on every imaginable type of surface — from hard pack trails to muddy swamps. ATV tires must provide customer with acceptable ride and handling performance, and they must also generate extremely good wet traction characteristics in order to pull the vehicle through the tough stuff. This paper looks at a design tool that is routinely used to achieve one of these goals — optimum mud (wet) traction performance. Techniques described in this study evaluate the self-cleaning ability of tread patterns. Smooth tires were modeled at typical vehicle loads and inflation pressures using finite element analysis. Footprint shapes and pressure distributions were taken from the analysis and used as input into the flow model. Mud was modeled as a highly viscous, Newtonian fluid and forced through the tread pattern. Flow velocities and pressures were computed using computational fluid dynamics and these responses were used to generate an overall measure of the cleaning efficiency of the tread. By visualizing the results, potential “clog” areas were identified and the tread pattern modified to improve flow.


2001 ◽  
Vol 123 (2) ◽  
pp. 322-326 ◽  
Author(s):  
S. J. Brookes ◽  
R. S. Cant ◽  
I. D. J. Dupere ◽  
A. P. Dowling

It is well known that lean premixed combustion systems potentially offer better emissions performance than conventional non-premixed designs. However, premixed combustion systems are more susceptible to combustion instabilities than non-premixed systems. Combustion instabilities (large-scale oscillations in heat release and pressure) have a deleterious effect on equipment, and also tend to decrease combustion efficiency. Designing out combustion instabilities is a difficult process and, particularly if many large-scale experiments are required, also very costly. Computational fluid dynamics (CFD) is now an established design tool in many areas of gas turbine design. However, its accuracy in the prediction of combustion instabilities is not yet proven. Unsteady heat release will generally be coupled to unsteady flow conditions within the combustor. In principle, computational fluid dynamics should be capable of modeling this coupled process. The present work assesses the ability of CFD to model self-excited combustion instabilities occurring within a model combustor. The accuracy of CFD in predicting both the onset and the nature of the instability is reported.


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