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Development of a Rigidity Tunable Flexible Joint Using Magneto-Rheological Compounds-Toward a Multijoint Manipulator for Laparoscopic Surgery.

Authors :
Kitano S
Komatsuzaki T
Suzuki I
Nogawa M
Naito H
Tanaka S
Source :
Frontiers in robotics and AI [Front Robot AI] 2020 Apr 28; Vol. 7, pp. 59. Date of Electronic Publication: 2020 Apr 28 (Print Publication: 2020).
Publication Year :
2020

Abstract

Laparoscopic surgery is a representative operative method of minimally invasive surgery. However, most laparoscopic hand instruments consist of rigid and straight structures, which have serious limitations such as interference by the instruments and limited field of view of the endoscope. To improve the flexibility and dexterity of these instruments, we propose a new concept of a multijoint manipulator using a variable stiffness mechanism. The manipulator uses a magneto-rheological compound (MRC) whose rheological properties can be tuned by an external magnetic field. In this study, we changed the shape of the electromagnet and MRC to improve the performance of the variable stiffness joint we previously fabricated; further, we fabricated a prototype and performed basic evaluation of the joint using this prototype. The MRC was fabricated by mixing carbonyl iron particles and glycerol. The prototype single joint was assembled by combining MRC and electromagnets. The configuration of the joint indicates that it has a closed magnetic circuit. To examine the basic properties of the joint, we conducted preliminary experiments such as elastic modulus measurement and rigidity evaluation. We confirmed that the elastic modulus increased when a magnetic field was applied. The rigidity of the joint was also verified under bending conditions. Our results confirmed that the stiffness of the new joint changed significantly compared with the old joint depending on the presence or absence of a magnetic field, and the performance of the new joint also improved.<br /> (Copyright © 2020 Kitano, Komatsuzaki, Suzuki, Nogawa, Naito and Tanaka.)

Details

Language :
English
ISSN :
2296-9144
Volume :
7
Database :
MEDLINE
Journal :
Frontiers in robotics and AI
Publication Type :
Academic Journal
Accession number :
33501227
Full Text :
https://doi.org/10.3389/frobt.2020.00059