Toward a Common Framework and Database of Materials for Soft Robotics

Luc Marechal; Pascale Balland; Lukas Lindenroth; Fotis Petrou; Christos Kontovounisios; Fernando Bello

doi:10.1089/soro.2019.0115

Toward a Common Framework and Database of Materials for Soft Robotics

Luc Marechal^*, Pascale Balland, Lukas Lindenroth, Fotis Petrou, Christos Kontovounisios, Fernando Bello

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

237 Citations (Scopus)

Abstract

To advance the field of soft robotics, a unified database of material constitutive models and experimental characterizations is of paramount importance. This will facilitate the use of finite element analysis to simulate their behavior and optimize the design of soft-bodied robots. Samples from seventeen elastomers, namely Body Double™ SILK, Dragon Skin™ 10 MEDIUM, Dragon Skin 20, Dragon Skin 30, Dragon Skin FX-Pro, Dragon Skin FX-Pro + Slacker, Ecoflex™ 00-10, Ecoflex 00-30, Ecoflex 00-50, Rebound™ 25, Mold Star™ 16 FAST, Mold Star 20T, SORTA-Clear™ 40, RTV615, PlatSil® Gel-10, Psycho Paint®, and SOLOPLAST 150318, were subjected to uniaxial tensile tests according to the ASTM D412 standard. Sample preparation and tensile test parameters are described in detail. The tensile test data are used to derive parameters for hyperelastic material models using nonlinear least-squares methods, which are provided to the reader. This article presents the mechanical characterization and the resulting material properties for a wide set of commercially available hyperelastic materials, many of which are recognized and commonly applied in the field of soft robotics, together with some that have never been characterized. The experimental raw data and the algorithms used to determine material parameters are shared on the Soft Robotics Materials Database GitHub repository to enable accessibility, as well as future contributions from the soft robotics community. The presented database is aimed at aiding soft roboticists in designing and modeling soft robots while providing a starting point for future material characterizations related to soft robotics research.

Original language	English
Pages (from-to)	284-297
Number of pages	14
Journal	Soft Robotics
Volume	8
Issue number	3
DOIs	https://doi.org/10.1089/soro.2019.0115
Publication status	Published - Jun 2021

Keywords

constitutive model
hyperelasticity
soft robotics materials
tensile tests

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10.1089/soro.2019.0115

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title = "Toward a Common Framework and Database of Materials for Soft Robotics",

abstract = "To advance the field of soft robotics, a unified database of material constitutive models and experimental characterizations is of paramount importance. This will facilitate the use of finite element analysis to simulate their behavior and optimize the design of soft-bodied robots. Samples from seventeen elastomers, namely Body Double{\texttrademark} SILK, Dragon Skin{\texttrademark} 10 MEDIUM, Dragon Skin 20, Dragon Skin 30, Dragon Skin FX-Pro, Dragon Skin FX-Pro + Slacker, Ecoflex{\texttrademark} 00-10, Ecoflex 00-30, Ecoflex 00-50, Rebound{\texttrademark} 25, Mold Star{\texttrademark} 16 FAST, Mold Star 20T, SORTA-Clear{\texttrademark} 40, RTV615, PlatSil{\textregistered} Gel-10, Psycho Paint{\textregistered}, and SOLOPLAST 150318, were subjected to uniaxial tensile tests according to the ASTM D412 standard. Sample preparation and tensile test parameters are described in detail. The tensile test data are used to derive parameters for hyperelastic material models using nonlinear least-squares methods, which are provided to the reader. This article presents the mechanical characterization and the resulting material properties for a wide set of commercially available hyperelastic materials, many of which are recognized and commonly applied in the field of soft robotics, together with some that have never been characterized. The experimental raw data and the algorithms used to determine material parameters are shared on the Soft Robotics Materials Database GitHub repository to enable accessibility, as well as future contributions from the soft robotics community. The presented database is aimed at aiding soft roboticists in designing and modeling soft robots while providing a starting point for future material characterizations related to soft robotics research.",

keywords = "constitutive model, hyperelasticity, soft robotics materials, tensile tests",

author = "Luc Marechal and Pascale Balland and Lukas Lindenroth and Fotis Petrou and Christos Kontovounisios and Fernando Bello",

note = "Funding Information: We would like to gratefully acknowledge support of this work by Cancer Research UK (CRUK) (Award Reference: C63674/A26161). Publisher Copyright: {\textcopyright} 2021 Mary Ann Liebert, Inc., publishers.",

year = "2021",

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doi = "10.1089/soro.2019.0115",

language = "English",

volume = "8",

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AU - Balland, Pascale

AU - Lindenroth, Lukas

AU - Petrou, Fotis

AU - Kontovounisios, Christos

AU - Bello, Fernando

N1 - Funding Information: We would like to gratefully acknowledge support of this work by Cancer Research UK (CRUK) (Award Reference: C63674/A26161). Publisher Copyright: © 2021 Mary Ann Liebert, Inc., publishers.

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N2 - To advance the field of soft robotics, a unified database of material constitutive models and experimental characterizations is of paramount importance. This will facilitate the use of finite element analysis to simulate their behavior and optimize the design of soft-bodied robots. Samples from seventeen elastomers, namely Body Double™ SILK, Dragon Skin™ 10 MEDIUM, Dragon Skin 20, Dragon Skin 30, Dragon Skin FX-Pro, Dragon Skin FX-Pro + Slacker, Ecoflex™ 00-10, Ecoflex 00-30, Ecoflex 00-50, Rebound™ 25, Mold Star™ 16 FAST, Mold Star 20T, SORTA-Clear™ 40, RTV615, PlatSil® Gel-10, Psycho Paint®, and SOLOPLAST 150318, were subjected to uniaxial tensile tests according to the ASTM D412 standard. Sample preparation and tensile test parameters are described in detail. The tensile test data are used to derive parameters for hyperelastic material models using nonlinear least-squares methods, which are provided to the reader. This article presents the mechanical characterization and the resulting material properties for a wide set of commercially available hyperelastic materials, many of which are recognized and commonly applied in the field of soft robotics, together with some that have never been characterized. The experimental raw data and the algorithms used to determine material parameters are shared on the Soft Robotics Materials Database GitHub repository to enable accessibility, as well as future contributions from the soft robotics community. The presented database is aimed at aiding soft roboticists in designing and modeling soft robots while providing a starting point for future material characterizations related to soft robotics research.

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ER -

Toward a Common Framework and Database of Materials for Soft Robotics

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