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Open AccessArticle

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

1
DICCA, Department of Civil, Chemical, and Environmental Engineering, University of Genoa, Via Montallegro 1, 16145 Genoa, Italy
2
DIME, Department of Mechanical, Energy, and Transportation Engineering, Thermochemical Power Group (TPG), University of Genoa. Via Montallegro 1, 16145 Genoa, Italy
*
Author to whom correspondence should be addressed.
Fluids 2020, 5(1), 36; https://doi.org/10.3390/fluids5010036
Received: 2 February 2020 / Revised: 13 March 2020 / Accepted: 13 March 2020 / Published: 18 March 2020
(This article belongs to the Special Issue Flow-Based Optimization of Products or Devices)
In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command-line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and, to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used. View Full-Text
Keywords: CFD; numerical optimization; CAD parametrization; cloud-based; design space exploration; SSIM CFD; numerical optimization; CAD parametrization; cloud-based; design space exploration; SSIM
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MDPI and ACS Style

Guerrero, J.; Mantelli, L.; Naqvi, S.B. Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations. Fluids 2020, 5, 36.

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