Numerical and experimental investigation on topology optimization of an elongated dynamic system

Autor(es)

Lopes, Heitor Nigro ^[1] ; Cunha, Daniel Candeloro ^[1] ; Pavanello, Renato ^[1] ; Mahfoud, Jarir ^[2]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Sch Mech Engn, Dept Computat Mech, Rua Mendeleyev 200, BR-13083860 Campinas - Brazil

^[2] Univ Lyon, INSA Lyon, CNRS, UMR5259, LaMCoS, F-69621 Villeurbanne - France

• Tipo de documento: Artigo Científico
• Fonte: MECHANICAL SYSTEMS AND SIGNAL PROCESSING; v. 165, FEB 15 2022.
• Citações Web of Science: 0

Resumo

Minimizing vibration levels of dynamic components at their operating frequency range has been a widely studied topic in engineering. However, the design of structures that satisfy geometric constraints and technical performances is an ongoing challenge. In this work, a topology optimization procedure based on the Bi-directional Evolutionary Structural Optimization (BESO) algorithm is performed to maximize the natural frequency separation interval of an elongated structure. The issues of disconnected and trivial solutions are solved using a connectivity constraint. It is imposed by a proposed procedure based on the heat flux solution of an auxiliary system. An assessment of the feasibility of the structure is done by verifying its accordance with manufacturing and design constraints. The optimized structure was manufactured and validated experimentally. The implemented process produces topologies that maximize the natural frequency separation and reduce the mass of the structure. The obtained results demonstrate the effectiveness of the proposed procedure at satisfying geometric design constraints and technical performances. (AU)

• Processo FAPESP: 19/05393-7 - Maximização de frequências naturais e da separação de frequências de estruturas contínuas por um método de otimização topológica evolucionária
• Beneficiário: Heitor Nigro Lopes
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto
• Processo FAPESP: 19/19237-7 - Explorando as potencialidades de redes neurais artificiais na concepção topológica de metamateriais
• Beneficiário: Daniel Candeloro Cunha
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 13/08293-7 - CECC - Centro de Engenharia e Ciências Computacionais
• Beneficiário: Munir Salomao Skaf
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs