Topology Optimization of Fluidic Pressure-Driven Multi-Material Compliant Mechanisms

Conference Paper (2023)
Author(s)

Prabhat Kumar (Indian Institute of Technology Hyderabad)

Josh Pinskier (Commonwealth Scientific and Industrial Research Organisation (CSIRO))

David Howard (Commonwealth Scientific and Industrial Research Organisation (CSIRO))

Matthijs Langelaar (TU Delft - Computational Design and Mechanics)

Research Group
Computational Design and Mechanics
DOI related publication
https://doi.org/10.1115/DETC2023-116522
More Info
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Publication Year
2023
Language
English
Research Group
Computational Design and Mechanics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
8
Publisher
ASME
ISBN (electronic)
978-0-7918-8736-3
Reuse Rights

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Abstract

Compliant mechanisms actuated by pneumatic loads are receiving increasing attention due to their direct applicability as soft robots that perform tasks using their flexible bodies. Using multiple materials to build them can further improve their performance and efficiency. Due to developments in additive manufacturing, the fabrication of multi-material soft robots is becoming a real possibility. To exploit this opportunity, there is a need for a dedicated design approach. This paper offers a systematic approach to developing such mechanisms using topology optimization. The extended SIMP scheme is employed for multi-material modeling. The design-dependent nature of the pressure load is modeled using the Darcy law with a volumetric drainage term. Flow coefficient of each element is interpolated using a smoothed Heaviside function. The obtained pressure field is converted to consistent nodal loads. The adjoint-variable approach is employed to determine the sensitivities. A robust formulation is employed, wherein a min-max optimization problem is formulated using the output displacements of the eroded and blueprint designs. Volume constraints are applied to the blueprint design, whereas the strain energy constraint is formulated with respect to the eroded design. The efficacy and success of the approach are demonstrated by designing pneumatically actuated multi-material gripper and contractor mechanisms. A numerical study confirms that multiple-material mechanisms perform relatively better than their single-material counterparts.

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