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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Author(s):
Lopes, Heitor Nigro [1] ; Cunha, Daniel Candeloro [1] ; Pavanello, Renato [1] ; Mahfoud, Jarir [2]
Total Authors: 4
Affiliation:
[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
Total Affiliations: 2
Document type: Journal article
Source: MECHANICAL SYSTEMS AND SIGNAL PROCESSING; v. 165, FEB 15 2022.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 19/05393-7 - Maximization of natural frequencies and frequency gaps of continuum structures by an evolutionary topology optimization method
Grantee:Heitor Nigro Lopes
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 19/19237-7 - Exploring the potentialities of artificial neural networks on metamaterials topological design
Grantee:Daniel Candeloro Cunha
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC