Graph Based Evolutionary Algorithms for Heat Exchanger Fin Shape Optimization

Suram, Sunil; Ashlock, Daniel; Bryden, Kenneth M.

doi:10.2514/6.2006-6954

Cited by 4 publications

(8 citation statements)

References 2 publications

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“…A methodology was developed to design the shape of solid medium based on its energy loss to the surrounding stationary fluid. Suram et al, [2006] explored the applicability of graph based evolutionary algorithms on the shape optimization of the finned dissipater.…”

Section: Evolutionary Algorithms For Fin Shape Optimizationmentioning

confidence: 99%

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A virtual engineering framework to support progressive interaction in engineering design

Karthikeyan¹

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Section: Evolutionary Algorithms For Fin Shape Optimizationmentioning

confidence: 99%

“…The variables registered in Fig. 7.2 Suram et al, [2006]. The call to the numerical solver from the optimization module is shown in Fig.…”

Section: Interactive Optimization Modulementioning

confidence: 99%

A virtual engineering framework to support progressive interaction in engineering design

Karthikeyan¹

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“…Changes in the shape of the fin can result in improved performance, thus reducing cost, space needed, and energy required for fans (Kays and London, 1998). A number of researchers have studied the problem of heat dissipation from longitudinal fins, and earlier the authors developed an evolutionary algorithm coupled with numerical simulations to optimize the shape of heat exchanger fins (Suram, Ashlock and Bryden, 2006), to which the reader is referred to for a more detailed discussion of this design problem. This section describes in brief the governing equations of momentum and energy as applied to the heat exchanger fin model, the numerical solution, and development of the ROM.…”

Section: Mathematical Model and Numerical Solutionmentioning

confidence: 99%

“…Further details on the discretization, grid generation, and numerical solution can be found in (Suram, Ashlock and Bryden, 2006).…”

Section: Mathematical Model and Numerical Solutionmentioning

confidence: 99%

“…A two-dimensional heat exchanger fin shape design problem has been chosen as the engineering design problem. A brief description of the problem is outlined in this section and further details can be found in Suram et al, 2006. These design parameters are the inputs to the ROM construction service and as well as the highfidelity model.…”

Section: Example Applicationmentioning

confidence: 99%

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Strategies for including cloud-computing into an engineering modeling workflow

Suram

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Integrating a reduced-order model server into the engineering design process

Suram

Bryden

2015

Advances in Engineering Software

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Engineering design is a complex and iterative process that involves multiple engineering teams sharing and communicating information during the design process. One aspect of engineering design involves the development of physics-based models and their analysis via numerical simulations that are computationally expensive. To overcome the time constraints due to the complexity of numerical simulations, reduced-order models (ROM) such as proper orthogonal decomposition are being increasingly used. Decreasing the simulation time, however, does not address the inefficiencies in communicating engineering models and analysis during the design process. This paper proposes developing and incorporating a ROM server into the design workflow. The ROM server stores all data associated with a given engineering model and automatically constructs a ROM every time a model is created or updated, thus maintaining a consistent version of information across multiple engineering teams. A common engineering workflow is compared with one using a ROM server. A cost of synchronization metric has been defined based on the parameters of data size, size of the engineering team and design iterations. This metric has been evaluated and compared for the cases with and without a ROM server and it was found that the cost of synchronization is lower when a ROM server is used in the design workflow. It is shown that as the team size increases, the ROM server helps with more efficient information storage and transfer. Finally, an example problem of a heat-exchanger fin shape design is used to demonstrate the ROM server framework.

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Graph Based Evolutionary Algorithms for Heat Exchanger Fin Shape Optimization

Cited by 4 publications

References 2 publications

A virtual engineering framework to support progressive interaction in engineering design

A virtual engineering framework to support progressive interaction in engineering design

Strategies for including cloud-computing into an engineering modeling workflow

Integrating a reduced-order model server into the engineering design process

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