Optimization of Air Cooling System Using Adjoint Solver Technique

Czerwiński, Grzegorz; Wołoszyn, Jerzy

doi:10.3390/en14133753

Cited by 7 publications

(3 citation statements)

References 48 publications

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“…with Δ𝑇 = 𝑇 , − 𝑇 , − 𝑇 , − 𝑇 , ln 𝑇 , − 𝑇 , 𝑇 , − 𝑇 , (8) as a logarithmic temperature difference for the case of constant heat flux density. The temperature differences between the wall and the fluid at the inlet and outlet are used for the evaluation.…”

Section: Determination Of the Heat Transfer Coefficientsmentioning

confidence: 99%

“…Wang et al [7] used a 3D adjoint approach to optimize the fins of a heat exchanger to reduce the drag. Czerwinski et al [8] used the adjoint approach to optimize the fin geometry of a heat sink for electronics cooling to increase the performance. Kametani et al [9] carried out an optimization and experimental investigation of cylinders in 3D using the adjoint approach, whereby they obtained the turbulent variables from a direct numerical simulation for the specific optimization case.…”

Section: Introductionmentioning

confidence: 99%

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Shape Optimization of Heat Exchanger Fin Structures Using the Adjoint Method and Their Experimental Validation

Fuchs,

Dagli,

Kabelac

2024

Energies

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The freedom of additive manufacturing allows for the production of heat-transferring structures that are optimized in terms of heat transfer and pressure loss using various optimization methods. One question is whether the structural optimizations made can be reproduced by additive manufacturing and whether the adaptations can also be verified experimentally. In this article, adjoint optimization is used to optimize a reference structure and then examine the optimization results experimentally. For this purpose, optimizations are carried out on a 2D model as well as a 3D model. The material chosen for the 3D optimization is stainless steel. Depending on the weighting pairing of heat transfer and pressure loss, the optimizations in 2D result in an increase in heat transfer of 15% compared to the initial reference structure with an almost constant pressure loss or a reduction in pressure loss of 13% with an almost constant heat transfer. The optimizations in 3D result in improvements in the heat transfer of a maximum of 3.5% at constant pressure loss or 9% lower pressure losses at constant heat transfer compared to the initial reference structure. The subsequent experimental investigation shows that the theoretical improvements in heat transfer can only be demonstrated to a limited extent, as the fine contour changes cannot yet be reproduced by additive manufacturing. However, the improvements in pressure loss can be demonstrated experimentally following a cross-section correction. It can therefore be stated that with increasing accuracy of the manufacturing process, the improvements in heat transfer can also be utilized.

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Section: Determination Of the Heat Transfer Coefficientsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shape Optimization of Heat Exchanger Fin Structures Using the Adjoint Method and Their Experimental Validation

Fuchs,

Dagli,

Kabelac

2024

Energies

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“…By grouping the terms multiplied by δq and δc, respectively, the vector of adjoint variables λ can be chosen so that there is no influence of flow variables in the computation, which leads to the adjoint equation to be solved [69]:…”

Section: Adjoint Approach To Optimisationmentioning

confidence: 99%

Two-Dimensional-Based Hybrid Shape Optimisation of a 5-Element Formula 1 Race Car Front Wing under FIA Regulations

et al. 2023

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Front wings are a key element in the aerodynamic performance of Formula 1 race cars. Thus, their optimisation makes an important contribution to the performance of cars in races. However, their design is constrained by regulation, which makes it more difficult to find good designs. The present work develops a hybrid shape optimisation approach to obtain an optimal five-element airfoil front wing under the FIA regulations and 17 design parameters. A first baseline design is obtained by parametric optimisation, on which the adjoint method is applied for shape optimisation via Mesh Morphing with Radial Basis Functions. The optimal front wing candidate obtained outperforms the parametric baseline up to a 25% at certain local positions. This shows that the proposed and tested hybrid approach can be a very efficient alternative. Although a direct 3D optimisation approach could be developed, the computational costs would be dramatically increased (possibly unaffordable for such a complex five-element front wing realistic shape with 17 design parameters and regulatory constraints). Thus, the present approach is of strong interest if the computational budget is low and/or a fast new front wing design is desired, which is a frequent scenario in Formula 1 race car design.

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Design modification of two-dimensional supersonic ejector via the adjoint method

Samsam-Khayani

Park

et al. 2022

Applied Thermal Engineering

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Optimization of Air Cooling System Using Adjoint Solver Technique

Cited by 7 publications

References 48 publications

Shape Optimization of Heat Exchanger Fin Structures Using the Adjoint Method and Their Experimental Validation

Shape Optimization of Heat Exchanger Fin Structures Using the Adjoint Method and Their Experimental Validation

Two-Dimensional-Based Hybrid Shape Optimisation of a 5-Element Formula 1 Race Car Front Wing under FIA Regulations

Design modification of two-dimensional supersonic ejector via the adjoint method

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