Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
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| Series: | Fluids |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2311-5521/5/1/36 |
| _version_ | 1818940778384195584 |
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| author | Joel Guerrero Luca Mantelli Sahrish B. Naqvi |
| author_facet | Joel Guerrero Luca Mantelli Sahrish B. Naqvi |
| author_sort | Joel Guerrero |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T06:45:03Z |
| format | Article |
| id | doaj.art-63cf81c922ac4eab84006210fa8ed2f8 |
| institution | Directory Open Access Journal |
| issn | 2311-5521 |
| language | English |
| last_indexed | 2024-12-20T06:45:03Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fluids |
| spelling | doaj.art-63cf81c922ac4eab84006210fa8ed2f82022-12-21T19:49:44ZengMDPI AGFluids2311-55212020-03-01513610.3390/fluids5010036fluids5010036Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical SimulationsJoel Guerrero0Luca Mantelli1Sahrish B. Naqvi2DICCA, Department of Civil, Chemical, and Environmental Engineering, University of Genoa, Via Montallegro 1, 16145 Genoa, ItalyDIME, Department of Mechanical, Energy, and Transportation Engineering, Thermochemical Power Group (TPG), University of Genoa. Via Montallegro 1, 16145 Genoa, ItalyDICCA, Department of Civil, Chemical, and Environmental Engineering, University of Genoa, Via Montallegro 1, 16145 Genoa, ItalyIn 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.https://www.mdpi.com/2311-5521/5/1/36cfdnumerical optimizationcad parametrizationcloud-baseddesign space explorationssim |
| spellingShingle | Joel Guerrero Luca Mantelli Sahrish B. Naqvi Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations Fluids cfd numerical optimization cad parametrization cloud-based design space exploration ssim |
| title | Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations |
| title_full | Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations |
| title_fullStr | Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations |
| title_full_unstemmed | Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations |
| title_short | Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations |
| title_sort | cloud based cad parametrization for design space exploration and design optimization in numerical simulations |
| topic | cfd numerical optimization cad parametrization cloud-based design space exploration ssim |
| url | https://www.mdpi.com/2311-5521/5/1/36 |
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