Topology optimization strategies for a formula student concept
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Format: | Master thesis |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10773/31454 |
Summary: | With several applications in a wide scope of engineering problems, topology optimization has found a niche in the automotive industry, which, despite being a relatively new technology, has subsequently been implemented in strategic systems at early development stages as to find novel structural solutions to key problems whose solutions had been stagnating in the industry. In this work, the process of implementing the topology optimization process in Formula Student car systems was analyzed, as it is seen as the prime example for research work in the automotive world outside of the automotive sector industry itself. Thus, a design process was developed encompassing several phases, from: (i) workload influence assessments, (ii) mesh refinement and target volume influences and (iii) strategies to correctly translate TO results to NURBS structures. Additionally, a series of strategies to enhance the manufacturability of topology optimization results were developed, with emphasis on promoting the use of milling operations, as to evaluate future applications which the industry could initiate, as at this moment it is primarily focused in small series parts in high end models. In order to achieve these goals, the Solidworks 2019 software was utilized, specifically the topology optimization add-on, which utilizes a Solid Isotropic Material with Penalization (SIMP) approach, with its benefits and caveats discussed throughout the work. |
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Topology optimization strategies for a formula student conceptTopology optimizationFormula studentSolidworks 2019UprightWith several applications in a wide scope of engineering problems, topology optimization has found a niche in the automotive industry, which, despite being a relatively new technology, has subsequently been implemented in strategic systems at early development stages as to find novel structural solutions to key problems whose solutions had been stagnating in the industry. In this work, the process of implementing the topology optimization process in Formula Student car systems was analyzed, as it is seen as the prime example for research work in the automotive world outside of the automotive sector industry itself. Thus, a design process was developed encompassing several phases, from: (i) workload influence assessments, (ii) mesh refinement and target volume influences and (iii) strategies to correctly translate TO results to NURBS structures. Additionally, a series of strategies to enhance the manufacturability of topology optimization results were developed, with emphasis on promoting the use of milling operations, as to evaluate future applications which the industry could initiate, as at this moment it is primarily focused in small series parts in high end models. In order to achieve these goals, the Solidworks 2019 software was utilized, specifically the topology optimization add-on, which utilizes a Solid Isotropic Material with Penalization (SIMP) approach, with its benefits and caveats discussed throughout the work.Com várias aplicações numa elevada gama de problemas de engenharia, a otimização topológica encontrou um nicho na indústria automóvel, onde apesar de ser uma tecnologia relativamente recente, tem sido sucessivamente utilizada em sistemas estratégicos durante fases de desenvolvimento iniciais de forma a encontrar novas soluções estruturais para problemas chave que se encontravam estagnados na indústria. Neste trabalho, é analisado o processo de implementação da otimização topológica em sistemas de um carro Formula Student, pois é visto como um exemplo ímpar de investigação no mundo automovel para lá ta indústria do sector automóvel em sim. Então, um processo de design foi desenvolvido que encompassa várias fases: (i) a avaliação da influência dos estados de solicitação, (ii) a influência do refinamento da malha e do volume alvo e (iii) estratégias para traduzir corretamente os resultados de um processo de TO para uma estrutura NURBS. adicionalmente, uma série de estratégias para melhorar a manufacturabilidade dos resultados da optimização topológica for desenvolvido, com um ênfase no promoção do uso de operações de maquinagem, de forma a avaliar futuras aplicações que a indústria automóvel poderá vir a criar, que de momento se tem concentrado em pequenas séries de peças para modelos de gama elevada. De forma a alcançar este objetivos, o software Solidworks 2019 é utilizado, especialmente o seu modelo de otimização topológica, que usa uma abordagem Solid Isotropic Material with Penalization (SIMP), com os seus benefícios e ressalvas discutidos ao longo do trabalho.2021-06-02T12:46:53Z2020-07-15T00:00:00Z2020-07-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/31454engDelgado, Tiago Miguel Sequeirainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:32:06Zoai:ria.ua.pt:10773/31454Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:11:40.998670Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Topology optimization strategies for a formula student concept |
| title |
Topology optimization strategies for a formula student concept |
| spellingShingle |
Topology optimization strategies for a formula student concept Delgado, Tiago Miguel Sequeira Topology optimization Formula student Solidworks 2019 Upright |
| title_short |
Topology optimization strategies for a formula student concept |
| title_full |
Topology optimization strategies for a formula student concept |
| title_fullStr |
Topology optimization strategies for a formula student concept |
| title_full_unstemmed |
Topology optimization strategies for a formula student concept |
| title_sort |
Topology optimization strategies for a formula student concept |
| author |
Delgado, Tiago Miguel Sequeira |
| author_facet |
Delgado, Tiago Miguel Sequeira |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Delgado, Tiago Miguel Sequeira |
| dc.subject.por.fl_str_mv |
Topology optimization Formula student Solidworks 2019 Upright |
| topic |
Topology optimization Formula student Solidworks 2019 Upright |
| description |
With several applications in a wide scope of engineering problems, topology optimization has found a niche in the automotive industry, which, despite being a relatively new technology, has subsequently been implemented in strategic systems at early development stages as to find novel structural solutions to key problems whose solutions had been stagnating in the industry. In this work, the process of implementing the topology optimization process in Formula Student car systems was analyzed, as it is seen as the prime example for research work in the automotive world outside of the automotive sector industry itself. Thus, a design process was developed encompassing several phases, from: (i) workload influence assessments, (ii) mesh refinement and target volume influences and (iii) strategies to correctly translate TO results to NURBS structures. Additionally, a series of strategies to enhance the manufacturability of topology optimization results were developed, with emphasis on promoting the use of milling operations, as to evaluate future applications which the industry could initiate, as at this moment it is primarily focused in small series parts in high end models. In order to achieve these goals, the Solidworks 2019 software was utilized, specifically the topology optimization add-on, which utilizes a Solid Isotropic Material with Penalization (SIMP) approach, with its benefits and caveats discussed throughout the work. |
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2020 |
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2020-07-15T00:00:00Z 2020-07-15 2021-06-02T12:46:53Z |
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info:eu-repo/semantics/publishedVersion |
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eng |
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