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The system presented in Equation (10) contains the geometry parameters and the pump characteristics. These characteristics can be constrained as follows: 0.033-L< 5S, <0.152-L

Figure 5 The system presented in Equation (10) contains the geometry parameters and the pump characteristics. These characteristics can be constrained as follows: 0.033-L< 5S, <0.152-L

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Figure 1-a. Nomenclature for In-Line configuration
Figure 1-a. Nomenclature for In-Line configuration
Over the years there have been many studies performed into the optimal geometric parameter combinations of Pin- Fin heat sinks. A particular study about the effect of the separation between two fins shows that the optimum separation in span-wise direction is 1.0+0.2 mm <S;<3.0+0.2 mm for both in-line or staggered configuration as well as 7.6+0.2mm and 7.8+0.2 mm in stream-wise direction for in-line and staggered, respectively [1].
Over the years there have been many studies performed into the optimal geometric parameter combinations of Pin- Fin heat sinks. A particular study about the effect of the separation between two fins shows that the optimum separation in span-wise direction is 1.0+0.2 mm <S;<3.0+0.2 mm for both in-line or staggered configuration as well as 7.6+0.2mm and 7.8+0.2 mm in stream-wise direction for in-line and staggered, respectively [1].
Figure 1-b. Nomenclature for Staggered configuration
Figure 1-b. Nomenclature for Staggered configuration
By combining all the equations and isolating the length of the fins H, we obtain the following system: The fin resistance includes n¢jn, which represents the efficiency of the fin and which can be calculated as:
By combining all the equations and isolating the length of the fins H, we obtain the following system: The fin resistance includes n¢jn, which represents the efficiency of the fin and which can be calculated as:
TABLE I. FLUID PROPERTIES The fluid considered for this application is a mix 1:1 of ethylene glycol and water. Table I presents the data used for the calculations. Additionally, all the fluid properties are interpolated over the temperature in order to obtain a continuous domain for the fluid characteristics. Equation (13) shows the considered interpolations: IJ. REFRIGERANT
TABLE I. FLUID PROPERTIES The fluid considered for this application is a mix 1:1 of ethylene glycol and water. Table I presents the data used for the calculations. Additionally, all the fluid properties are interpolated over the temperature in order to obtain a continuous domain for the fluid characteristics. Equation (13) shows the considered interpolations: IJ. REFRIGERANT
TABLE II: CONSTRAINED OPTIMISATION CASES Fig. 3 and Fig. 4 present the results obtained with STAR-CCM+ of Case A and Case B, respectively.
TABLE II: CONSTRAINED OPTIMISATION CASES Fig. 3 and Fig. 4 present the results obtained with STAR-CCM+ of Case A and Case B, respectively.
Figure 3-b. 3D View of Case A
Figure 3-b. 3D View of Case A
Figure 3-a. IGBT Temperature graph of Case A The two sub-figures .b prove that the simulation reaches the steady-state situation where the temperature remains constant.
Figure 3-a. IGBT Temperature graph of Case A The two sub-figures .b prove that the simulation reaches the steady-state situation where the temperature remains constant.
Figure 4-b. 3D View of Case B
Figure 4-b. 3D View of Case B
BMW in Munich. Prof. Dr.-Ing. Peter Tenberge, born in 1956, studied Mechanical Engineering, majoring in Engineering Design at Ruhr University Bochum (RUB), Germany. Subsequently, he worked as a scientific assistant at the Chair of Machine Elements and Gears at RUB and finished his PhD on the topic of transmissions. From 1986 to 1994, he worked for Zahnradfabrik Friedrichshafen and Schaeffler, Germany, at the end as the manager for automotive components. From 1994 to 2012, he was Professor for Machine Elements at the Technical University in Chemnitz, Germany. Since 2012, he was Professor for Industrial and Automotive Drivetrains at RUB in Bochum.
BMW in Munich. Prof. Dr.-Ing. Peter Tenberge, born in 1956, studied Mechanical Engineering, majoring in Engineering Design at Ruhr University Bochum (RUB), Germany. Subsequently, he worked as a scientific assistant at the Chair of Machine Elements and Gears at RUB and finished his PhD on the topic of transmissions. From 1986 to 1994, he worked for Zahnradfabrik Friedrichshafen and Schaeffler, Germany, at the end as the manager for automotive components. From 1994 to 2012, he was Professor for Machine Elements at the Technical University in Chemnitz, Germany. Since 2012, he was Professor for Industrial and Automotive Drivetrains at RUB in Bochum.
Related topics:
Numerical SimulationsNumerical AnalysisHeat Sinks
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