Combining Computational Fluid Dynamics (CFD) and Flow Network Modeling (FNM) for Design of a Multi-Chip Module (MCM) Cold Plate

2013 ◽  
Author(s):  
John Fernandes ◽  
Saeed Ghalambor ◽  
Akhil Docca ◽  
Chris Aldham ◽  
Dereje Agonafer ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Thermal Analysis ◽  
Computational Fluid Dynamics ◽  
Network Modeling ◽  
Computational Time ◽  
Design Parameters ◽  
Cold Plate ◽  
Original Solution ◽  
Flow Network ◽  
Computational Fluid Dynamics Cfd

The objective of the study is to improve on performance of the current liquid cooling solution for a Multi-Chip Module (MCM) through design of a chip-scale cold plate with quick and accurate thermal analysis. This can be achieved through application of Flow Network Modeling (FNM) and Computational Fluid Dynamics (CFD) in an interactive manner. Thermal analysis of the baseline cold plate design is performed using CFD to determine initial improvement in performance as compared to the original solution, in terms of thermal resistance and pumping power. Fluid flow through the solution is modeled using FNM and verified with results from the CFD analysis. In addition, CFD is employed to generate flow impedance curves of non-standard components within the cold plate, which are used as input for the Hardy Cross method in FNM. Using the verified flow network model, design parameters of different components in the cold plate are modified to promote uniform flow distribution to each active region in the chip-scale solution. Analysis of the resultant design using CFD determines additional improvement in performance over the original solution, if available. Thus, through complementary application of FNM and CFD, a robust cold plate can be designed without requiring expensive fabrication of prototypes and with minimal computational time and resources.

An Assessment of Computational Fluid Dynamics Cavitation Models Using Bubble Growth Theory and Bubble Transport Modeling

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Michael P. Kinzel ◽  
Jules W. Lindau ◽  
Robert F. Kunz
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Analytic Solutions ◽  
Cfd Modeling ◽  
Computational Time ◽  
Cavitation Model ◽  
Modeling Framework ◽  
Homogeneous Models ◽  
Bubble Transport ◽  
Computational Fluid Dynamics Cfd

This effort investigates advancing cavitation modeling relevant to computational fluid dynamics (CFD) through two strategies. The first aims to reformulate the cavitation models and the second explores adding liquid–vapor slippage effects. The first aspect of the paper revisits cavitation model formulations with respect to the Rayleigh–Plesset equation (RPE). The present approach reformulates the cavitation model using analytic solutions to the RPE. The benefit of this reformulation is displayed by maintaining model sensitivities similar to RPE, whereas the standard models fail these tests. In addition, the model approach is extended beyond standard homogeneous models, to a two-fluid modeling framework that explicitly models the slippage between cavitation bubbles and the liquid. The results indicate a significant impact of slip on the predicted cavitation solution, suggesting that the inclusion of such modeling can potentially improve CFD cavitation models. Overall, the results of this effort point to various aspects that may be considered in future CFD-modeling efforts with the goal of improving the model accuracy and reducing computational time.

scholarly journals Evaluation of Heat Transfer Performance of a Multi-Disc Sorption Bed Dedicated for Adsorption Cooling Technology

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4660 ◽  
Author(s):  
Marcin Sosnowski
Keyword(s):  
Heat Transfer ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Heat Transfer Performance ◽  
Design Parameters ◽  
Transfer Performance ◽  
Sorption Model ◽  
Factors Influencing ◽  
Computational Fluid Dynamics Cfd ◽  
Cooling Technology

The possibility of implementing the innovative multi-disc sorption bed combined with the heat exchanger into the adsorption cooling technology is investigated experimentally and numerically in the paper. The developed in-house sorption model incorporated into the commercial computational fluid dynamics (CFD) code was applied within the analysis. The research allowed to define the design parameters of the proposed type of the sorption bed and correlate them with basic factors influencing the performance of the sorption bed and its dimensions. The designed multi-disc sorption bed is characterized by great scalability and allows to significantly expand the potential installation sites of the adsorption chillers.

Computational Fluid Dynamics (CFD) Analysis of a Single-Stage Downhole Turbine

2013 ◽  
Author(s):  
Rajani Satti ◽  
Narasimha Rao Pillalamarri ◽  
Eckard Scholz
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Three Dimensional ◽  
Operating Regime ◽  
Single Stage ◽  
Tip Clearance ◽  
Performance Characteristics ◽  
Design Parameters ◽  
Complex Flow ◽  
Computational Fluid Dynamics Cfd

In this study, the application of computational fluid dynamics (CFD) is explored to predict the performance characteristics in a typical single-stage downhole turbine. The single-stage turbine model utilized for this study consists of a stator and a rotor. A finite-volume based CFD approach was implemented to simulate the complex flow field around the turbine. The analysis is based on transient, three-dimensional, isothermal turbulent flow in an incompressible fluid system. The inlet flow rates and angular velocity of the rotor were varied to encompass the operating regime. Comparison with experimental data revealed excellent agreement, proving reliability of the model in predicting the performance characteristics. Motivated by the successful model validation, a parametric study (considering blade tip clearance and blade count) was also conducted to understand the effects of the design parameters on the performance of the turbine. Detailed flow visualizations and efficiency calculations were also done to provide further insight into the overall performance of the turbine. As part of the present study, significant efforts were also spent in the following areas: standardization of CFD methodology and assessment of commercial software to develop an integrated CFD-driven design process.

Application of Computational Fluid Dynamics Simulation to Squeeze Film Damper Analysis

2017 ◽  
Vol 139 (10) ◽  
Author(s):  
Gil Jun Lee ◽  
Jay Kim ◽  
Tod Steen
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
High Speed ◽  
Cfd Simulation ◽  
Design Guidelines ◽  
Dynamics Simulation ◽  
Squeeze Film ◽  
Computational Time ◽  
Small Clearance ◽  
Computational Fluid Dynamics Cfd

Squeeze film dampers (SFDs) are used in high-speed turbomachinery to provide external damping to the system. Computational fluid dynamics (CFD) simulation is a highly effective tool to predict the performance of SFDs and obtain design guidance. It is shown that a moving reference frame (MRF) can be adopted for CFD simulation, which saves computational time significantly. MRF-based CFD analysis is validated, then utilized to design oil plenums of SFDs. Effects of the piston ring clearances, the oil groove, and oil supply ports are studied based on CFD and theoretical solutions. It is shown that oil plenum geometries can significantly affect the performance of the SFD especially when the SFD has a small clearance. The equivalent clearance is proposed as a new concept that enables quick estimation of the effect of oil plenum geometries on the SFD performance. Some design practices that have been adopted in industry are revisited to check their validity. Based on simulation results, a set of general design guidelines is proposed.

scholarly journals CFD Investigations of the Effect of Rotating Wheels, Ride Height and Wheelhouse Geometry on the Drag Coefficient of Electric Vehicle

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Drag Coefficient ◽  
Electric Vehicles ◽  
Aerodynamic Drag ◽  
Design Parameters ◽  
Ride Height ◽  
Full Vehicle ◽  
Maximum Range ◽  
Computational Fluid Dynamics Cfd

The development of electric vehicles demands minimizing aerodynamic drag in order to provide maximum range. The wheels contribute significantly to overall drag coefficient value because of flow separation from rims and wheel arches. In this paper various design parameters are investigated and their influence on vehicle drag coefficient is presented. The investigation has been done with the help of computational fluid dynamics (CFD) tools and with implementation of full vehicle setup with rotating wheels. The obtained results demonstrate changes in drag coefficient with respect to the change of design parameters.

scholarly journals Evaluating the Irrigation Effect of Continuous Flushing During Up-and-down Motion of Instruments Using a Computational Fluid Dynamics Model

2020 ◽  
Author(s):  
Linxi Guo ◽  
Xin Shi ◽  
Xiangfen Li ◽  
Yuanxi Zhao ◽  
qin su
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Three Dimensional ◽  
Static Solution ◽  
Apical Part ◽  
Middle Part ◽  
Original Solution ◽  
Mechanical Preparation ◽  
Irrigation Effect ◽  
Computational Fluid Dynamics Cfd

Abstract Background:The viscous environment caused by the rotation of Nickel-titanium (Ni-Ti) instruments in a static solution inside the root canal during mechanical preparation may increase the difficulty of endodontic debridement and the risk of instrument fatigue fracture. Therefore, this study aimed to investigate the effect of continuous flushing during up-and-down motion of instruments using a three-dimensional computational fluid dynamics (CFD) numerical model.Results:After30s simulation,water entering the canal formed an "efficient replacement area" in upper part of the canal and transported to the apical part of the canal.Increasing the velocity and amplitude of the motion of the instrument caused less time of flushing water to reach the apical area; and the replacement of the original solution was primarily improved by increasing the amplitude.Conclusions:Continuous flushing during up-and-down movement of the instrument significantly helped to rapidly replace the original solution with water at the coronal and middle part of the canal and dilutedthe viscosity of the original solution to some extend in the whole canal.It is therefore beneficial to add continuous water flushing to the instruments used in the preparation process.Furthermore, the amplitude of the movement in file’s up-and-down motion should be appropriately increased to improve its irrigation effect in clinical practice.

Dynamic Instability Analysis of a Spring-Loaded Pressure Safety Valve Connected to a Pipe by Using Computational Fluid Dynamics Methods

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Fengjie Zheng ◽  
Chaoyong Zong ◽  
Chao Zhang ◽  
Xueguan Song ◽  
Fuzheng Qu ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Dynamic Instability ◽  
Design Parameters ◽  
Wave Forces ◽  
Cfd Model ◽  
Pressure System ◽  
System Pressure ◽  
Computational Fluid Dynamics Cfd ◽  
And Performance

Abstract As the ultimate protection of a pressure system, pressure safety valves (PSV) can respond in an unstable manner in the form of flutter and chatter, which will affect service life, reliability, and performance. In order to study the dynamic instability caused by multisource forces including the flow force, the spring compression force, and the pressure wave forces, a high-fidelity computational fluid dynamics (CFD) model of the system is proposed. A complete CFD model, incorporating the PSV, connected pipes, and the pressure vessel, is developed, in which advanced techniques in Fluent using User Defined Function (UDF) and Dynamic Layering method are combined to allow the PSV to be coupled to the system dynamics. Based on this model, the valve's opening and reclosing process is monitored to examine the influence of design parameters on the dynamic instability of the PSV. Specifically, the propagation of pressure waves along the connecting pipes is successfully captured, helping to assess the instability mechanism and provide the ability to optimize the design and setup of pressure relief systems.

A Fractional-Factorial Investigation of the Design Parameters Affecting the Performance of a Pyrometer Purge Air System

2003 ◽  
Author(s):  
Clive I. Kerr ◽  
Paul C. Ivey
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fractional Factorial ◽  
Optical Pyrometer ◽  
Design Parameters ◽  
Trade Offs ◽  
Operational Problem ◽  
Air System ◽  
Computational Fluid Dynamics Cfd ◽  
Associated Design

One of the most strategically important devices within the field of gas turbine instrumentation is the optical pyrometer for turbine blade temperature measurement. With this instrument, the greatest operational problem is the optical fouling of its lens and the associated design problem is to fit the device within a given size envelope without adversely comprising the effectiveness of the purge air system. Consequently, a statistical-numerical investigation using the design of experiments approach was conducted by utilizing computational fluid dynamics (CFD) techniques to study the trade-offs in purge system design. This paper reports on the study carried out to determine the relative effects of the main geometrical design parameters on the performance of a purge air system using a two-level fractional factorial experiment.

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