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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.)

Auxetic structure design using compliant mechanisms: A topology optimization approach with polygonal finite elements

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Author(s):
de Lima, Cicero R. [1] ; Paulino, Glaucio H. [2]
Total Authors: 2
Affiliation:
[1] UFABC Fed Univ ABC, Sch Engn Modeling & Appl Social Sci, Rua Arcturus 03, BR-09606070 Sao Bernardo Do Campo, SP - Brazil
[2] Georgia Inst Technol, Sch Civil & Environm Engn, GeorgiaTech, 790 Atlantic Dr NW, Atlanta, GA 30332 - USA
Total Affiliations: 2
Document type: Journal article
Source: ADVANCES IN ENGINEERING SOFTWARE; v. 129, p. 69-80, MAR 2019.
Web of Science Citations: 2
Abstract

Compliant mechanisms are monolithic structures where the movement is given by the flexibility of the structure rather than the presence of joints and pins. The absence of joints allows the construction of compliant mechanisms in microscale. In this work, the compliant mechanism is designed by using topology optimization to generate microstructure unit cells that simulate the effect of auxetic materials, i.e. those with negative Poisson's ratio. Polygonal finite element meshes are introduced in the topology optimization formulation to avoid the hinges (one-node connections) in the compliant mechanism design. A pattern repetition constraint is applied to generate auxetic macrostructures. An integrated approach that combines a projection technique with a mapping technique is adopted to include the minimum member size constraint, making the topology optimization results possible to be manufactured. The connection of the topology optimization approach with additive manufacturing is demonstrated using 3D printers based on FFF (fused filament fabrication) and PolyJet technologies. Thus, computational simulation in connection with rapid prototyping are carried out to verify the results. (AU)

FAPESP's process: 15/08316-2 - Design of Extreme Materials Through Topology Optimization and Rapid Prototyping Techniques
Grantee:Cícero Ribeiro de Lima
Support Opportunities: Scholarships abroad - Research