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Analysis for Material Selection of Robot Soft Finger Used for Power Grasping

  • Chiranjibi ChampatirayEmail author
  • G. B. Mahanta
  • S. K. Pattanayak
  • R. N. Mahapatra
Conference paper
  • 46 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The geometric relationship between contact parameters such as deformation, contact area and touch angle of robot soft finger is developed. The suggested nonlinear cylindrical soft finger deforms on the application of normal load and contact surface and touches angle grow correspondingly. The force relationship between contact parameters and geometrical data is derived. The developed theoretical model enables to determine the total contact force at the contact surface manipulation. The theoretical model is validated by conducting experiments with the artificial finger of hyperelastic material (Silicone Ecoflex 00-30). The contact width is measured by conducting compression testing from 10 N to 100 N with an increment of 10 N on silicone finger to leave a vivid print on recording paper, and contact area is calculated from those data. The importance of coefficient of friction cannot be overlooked. The value of coefficient of friction is also calculated from inclined test result. The developed model and soft finger can be used for tackling real-life problems related to object manipulations.

Keywords

Contact model Power grasping Hyperelastic Soft finger 

References

  1. 1.
    Shimoga KB, Goldenberg AA (1992) Soft materials for robotic fingers. In: Proceedings 1992 IEEE international conference on robotics and automation. IEEE, pp 1300–1305Google Scholar
  2. 2.
    Fukaya N, Toyama S, Asfour T, Dillmann R (2000) Design of the TUAT/Karlsruhe humanoid hand. In: Proceedings of the international conference on intelligent robots and systems, vol 3, pp 1754–1759, JapanGoogle Scholar
  3. 3.
    Elango N, Faudzi AAM (2015) A review article: investigations on soft materials for soft robot manipulations. Int J Adv Manuf Technol 80(5–8):1027–1037Google Scholar
  4. 4.
    Park K-H, Kim B-H, Hirai S (2003) Development of a soft fingertip and its modeling based on force distribution. IEEE Int Conf Robot Autom 3:3169–3174Google Scholar
  5. 5.
    Shao F, Childs TH, Henson B (2009) Developing an artificial fingertip with human friction properties. Tribol Int 42(11–12):1575–1581CrossRefGoogle Scholar
  6. 6.
    Derler S, Schrade U, Gerhardt IC (2007) Tribology of human skin and mechanical skin equivalents in contact with textiles. Wear 263:1112–1116CrossRefGoogle Scholar
  7. 7.
    Tiezzi P, Kao I (2007) Modeling of viscoelastic contacts and evolution of limit surface for robotic contact interface. IEEE Trans Robot 23(2):206–217CrossRefGoogle Scholar
  8. 8.
    Haibin Y, Cheng K, Junfeng L, Guilin Y (2018) Modeling of grasping force for a soft robotic gripper with variable stiffness. Mech Mach Theory 128:254–274Google Scholar
  9. 9.
    Pawlaczyk M, Lelonkiewicz M, Wieczorowski M (2013) Age-dependent biomechanical properties of the skin. Adv Dermatol Allergol (Postȩpy Dermatologii i Alergologii) 30(5):302Google Scholar
  10. 10.
    Controzzi M, D’Alonzo M, Peccia C, Oddo CM, Carrozza MC, Cipriani C (2014) Bioinspired fingertip for anthropomorphic robotic hands. Appl Bion Biomech 11(1–2):25–38CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Chiranjibi Champatiray
    • 1
    Email author
  • G. B. Mahanta
    • 2
  • S. K. Pattanayak
    • 3
  • R. N. Mahapatra
    • 1
  1. 1.NIT MeghalayaShillongIndia
  2. 2.NIT RourkelaRourkelaIndia
  3. 3.NIT SilcharSilcharIndia

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