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Topology optimization strategies for a formula student concept

Bibliographic Details
Main Author: Delgado, Tiago Miguel Sequeira
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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spelling 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-15T00:00:00Z
2020-07-15
2021-06-02T12:46:53Z
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