Quality analysis of material jetted silicone material for soft robotics application

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Autoren

  • Sudhanshu Gangwar
  • Prateek Saxena
  • Ditzia Susana Garcia Morales
  • Tobias Biermann
  • Roland Lachmayer

Organisationseinheiten

Externe Organisationen

  • Indian Institute of Technology Mandi (IITMandi)
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Details

OriginalspracheEnglisch
Aufsatznummer135566
Seitenumfang4
FachzeitschriftMaterials letters
Jahrgang355
Frühes Online-Datum13 Nov. 2023
PublikationsstatusVeröffentlicht - 15 Jan. 2024

Abstract

Silicone and silicone-based elastomers find their applications in micro-electromechanical systems (MEMS) and soft robotics. Mechanical properties of such materials upon processing them with additive manufacturing are challenging and need significant improvement for enhanced performance in biomedical applications. With extrusion-based additive manufacturing, there is an inherent porosity inside the printed volume which negatively influences the quality and mechanical properties of printed parts. In this study, material jetting a drop-on-demand additive manufacturing technique is used to 3D print silicone samples of shore hardness 60A. These samples are analysed for tensile strength, surface roughness, porosity, and pores characterization for assessing the quality and performance of silicone 60A and the results suggest that silicone 60A material used in material jetting printing process is a potential material for low force application in soft robotics.

ASJC Scopus Sachgebiete

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Quality analysis of material jetted silicone material for soft robotics application. / Gangwar, Sudhanshu; Saxena, Prateek; Susana Garcia Morales, Ditzia et al.
in: Materials letters, Jahrgang 355, 135566, 15.01.2024.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Gangwar, S, Saxena, P, Susana Garcia Morales, D, Biermann, T & Lachmayer, R 2024, 'Quality analysis of material jetted silicone material for soft robotics application', Materials letters, Jg. 355, 135566. https://doi.org/10.1016/j.matlet.2023.135566
Gangwar, S., Saxena, P., Susana Garcia Morales, D., Biermann, T., & Lachmayer, R. (2024). Quality analysis of material jetted silicone material for soft robotics application. Materials letters, 355, Artikel 135566. https://doi.org/10.1016/j.matlet.2023.135566
Gangwar S, Saxena P, Susana Garcia Morales D, Biermann T, Lachmayer R. Quality analysis of material jetted silicone material for soft robotics application. Materials letters. 2024 Jan 15;355:135566. Epub 2023 Nov 13. doi: 10.1016/j.matlet.2023.135566
Gangwar, Sudhanshu ; Saxena, Prateek ; Susana Garcia Morales, Ditzia et al. / Quality analysis of material jetted silicone material for soft robotics application. in: Materials letters. 2024 ; Jahrgang 355.
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abstract = "Silicone and silicone-based elastomers find their applications in micro-electromechanical systems (MEMS) and soft robotics. Mechanical properties of such materials upon processing them with additive manufacturing are challenging and need significant improvement for enhanced performance in biomedical applications. With extrusion-based additive manufacturing, there is an inherent porosity inside the printed volume which negatively influences the quality and mechanical properties of printed parts. In this study, material jetting a drop-on-demand additive manufacturing technique is used to 3D print silicone samples of shore hardness 60A. These samples are analysed for tensile strength, surface roughness, porosity, and pores characterization for assessing the quality and performance of silicone 60A and the results suggest that silicone 60A material used in material jetting printing process is a potential material for low force application in soft robotics.",
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AU - Biermann, Tobias

AU - Lachmayer, Roland

N1 - Funding Information: This study was supported by funding agencies (DFG, German Research Foundation) - Project number 432176896, (DFG, German Research Foundation) - Project ID 390833453, Department of Science and Technology (DST), India under start-up research grant (SERB-SRG) project number SRG/2022/002225, and DAAD (Deutscher Akademischer Austauschdienst), Germany under DAAD-KOSPIE exchange program.

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