HVAC System Design and Optimization Utilizing Computational Fluid Dynamics

1997 ◽  
Author(s):  
Michael Cartwright ◽  
Lin-Jie Huang
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
System Design ◽  
Hvac System ◽  
Design And Optimization

High-Fidelity Computational Fluid Dynamics Modeling and Analysis of a Pressure Vessel-Pipe-Safety Valve System in Gas Service

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Chaoyong Zong ◽  
Fengjie Zheng ◽  
William Dempster ◽  
Dianjing Chen ◽  
Xueguan Song
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
System Design ◽  
Pressure Vessel ◽  
Safety Valve ◽  
Dynamic Responses ◽  
Body Motion ◽  
Cfd Modeling ◽  
High Fidelity ◽  
Design And Optimization

Abstract A pressurized vessel-pipe-safety valve (PVPSV) system is a common configuration for many energy management systems, and a better understanding of their dynamics is helpful for system design and optimization. In this paper, a method for high-fidelity computational fluid dynamics (CFD) modeling is presented, which can be used to predict dynamic responses of PVPSV systems. For modeling, regions from the vessel outlet to the safety valve exit flange are modeled using a CFD approach; the pressure vessel is set as the boundary and the movement of the valve disk is represented by a one-dimensional (1D) rigid body motion model. Simulations are performed, and both stable and unstable operation are investigated. To establish accuracy, an experimental test rig is designed and constructed to measure the motion of the valve disk and the pressures at different system locations. Comparisons are performed for different dynamic modes and good agreement is obtained, supporting the accuracy of the high-fidelity model in reproducing the dynamic response of PVPSV systems. With the developed model, influences of other variables, such as piping length and safety valve configurations, can also be evaluated. The method presented in this paper can also be used to develop CFD models for other similar systems and should facilitate system design and optimization.

scholarly journals A Review on Computational Fluid Dynamics Applications in the Design and Optimization of Crossflow Hydro Turbines

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hamisi Ally Mrope ◽  
Yusufu Abeid Chande Jande ◽  
Thomas T. Kivevele
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Experimental Testing ◽  
Real Life ◽  
Cfd Modeling ◽  
Speed Ratio ◽  
Design And Optimization ◽  
Life Tests ◽  
Clear Idea ◽  
Hydro Turbines

In recent years, advances in using computational fluid dynamics (CFD) software have greatly increased due to its great potential to save time in the design process compared to experimental testing for data acquisition. Additionally, in real-life tests, a limited number of quantities are measured at a time, while in a CFD analysis all desired quantities can be measured at once, and with a high resolution in space and time. This article reviews the advances made regarding CFD modeling and simulation for the design and optimization of crossflow hydro turbines (CFTs). The performance of these turbines depends on various parameters like the number of blades, tip speed ratio, type of airfoil, blade pitch, chord length and twist, and its distribution along the blade span. Technical aspects of the model design, which include boundary conditions, solution of the governing equations of the water flow through CFTS, and the assumptions made during the simulations are thoroughly described. From the review, a clear idea on the suitability of the accuracy CFD applications in the design and optimization of crossflow hydro turbines has been provided. Therefore, this gives an insight that CFD is a useful and effective tool suitable for the design and optimization of CFTs.

Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices

2011 ◽  
pp. 262-283 ◽  
Author(s):  
Yos S. Morsi ◽  
Subrat Das
Keyword(s):  
Neural Network ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Medical Devices ◽  
Design And Optimization ◽  
Advantages And Disadvantages ◽  
Future Potential ◽  
Computational Fluid Dynamics Cfd ◽  
Tissue Engineering Heart Valve

This chapter describes the utilization of computational fluid dynamics (CFD) with neural network (NN) for analysis of medical devices. First, the concept of mathematical modeling and its use for solving engineering problems is presented followed by an introduction to CFD with a brief summary of the numerical techniques currently available. A brief introduction to the standard optimization strategies for NN and the various methodologies in use are also presented. A case study of the design and optimization of scaffolds for tissue engineering heart valve using the combined CFD and NN approach is presented and discussed. This chapter concludes with a discussion of the advantages and disadvantages of the combined NN and CFD techniques and their future potential prospective.

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