<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Today’s ECUs (Electronic Control Units) face a high-power density mounted in a very small volume due to miniaturisation, available space, and weight limitations. For this reason, the resulting heat dissipation has become increasingly difficult to manage and continuous efforts are being made to optimize thermal management in this direction.</p>
<p>This paper shows an improvement in heat dissipation by finding an optimal configuration between the fan speed and the distance between the cooling fins using the Design for Six Sigma methods. The focus was on finding a reliable transfer function that could predict the influence of the identified critical design parameters. Two transfer functions were derived and analysed in parallel; one based on Design of Experiments (DoE) and another based on simplified thermal theory. The accuracy of the transfer function and predictions were compared with the results of thermal simulations performed in the Ansys Icepack program. This shows that the use of the DoE method based on a small number of simulations is sufficient to estimate the behaviour of the ECU, without using a more complex theoretical approach.</p>
</abstract>

Today’s ECUs (Electronic Control Units) face a high-power density mounted in a very small volume due to miniaturisation, available space, and weight limitations. For this reason, the resulting heat dissipation has become increasingly difficult to manage and continuous efforts are being made to optimize thermal management in this direction.
This paper shows an improvement in heat dissipation by finding an optimal configuration between the fan speed and the distance between the cooling fins using the Design for Six Sigma methods. The focus was on finding a reliable transfer function that could predict the influence of the identified critical design parameters. Two transfer functions were derived and analysed in parallel; one based on Design of Experiments (DoE) and another based on simplified thermal theory. The accuracy of the transfer function and predictions were compared with the results of thermal simulations performed in the Ansys Icepack program. This shows that the use of the DoE method based on a small number of simulations is sufficient to estimate the behaviour of the ECU, without using a more complex theoretical approach.

Optimization of Heat Dissipation for Fan Cooling Solution

“Gheorghe Asachi” Technical University of Iaşi

Faculty of Machine Manufacturing and Industrial Management

Bulletin of the Polytechnic Institute of Iași. Machine constructions Section

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Optimization of Heat Dissipation for Fan Cooling Solution"}

Today’s ECUs (Electronic Control Units) face a high-power density mounted in a very small volume due to miniaturisation, available space, and weight...

Optimization of Heat Dissipation for Fan Cooling Solution

Pubblicato online: 09 mag 2022

Pagine: 9 - 23

Ricevuto: 28 feb 2022

Accettato: 18 mar 2022

DOI: https://doi.org/10.2478/bipcm-2022-0001

Parole chiave
design for six sigma methods, ECU, forced convection, DoE, thermal resistance, regression equation, thermal behaviour

© 2022 Cristina Georgiana Lateş et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimization of Heat Dissipation for Fan Cooling Solution

Pubblicato online: 09 mag 2022

Pagine: 9 - 23

Ricevuto: 28 feb 2022

Accettato: 18 mar 2022

DOI: https://doi.org/10.2478/bipcm-2022-0001

Parole chiavedesign for six sigma methods, ECU, forced convection, DoE, thermal resistance, regression equation, thermal behaviour

© 2022 Cristina Georgiana Lateş et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
design for six sigma methods, ECU, forced convection, DoE, thermal resistance, regression equation, thermal behaviour