Position Control and Force Estimation Method for Surgical Forceps Using SMA Actuators and Sensors.

actuation force feedback niti shape memory alloys surgical instrument

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
06 Sep 2021
Historique:
received: 11 06 2021
revised: 11 08 2021
accepted: 20 08 2021
entrez: 10 9 2021
pubmed: 11 9 2021
medline: 11 9 2021
Statut: epublish

Résumé

Minimally invasive surgery is increasingly used in many medical operations because of the benefits for the patients. However, for the surgeons, accessing the situs through a small incision or natural orifice comes with a reduction of the degrees of freedom of the instrument. Due to friction of the mechanical coupling, the haptic feedback lacks sensitivity that could lead to damage of the tissue. The approach of this work to overcome these problems is to develop a control concept for position control and force estimation with shape memory alloys (SMA) which could offer haptic feedback in a novel handheld instrument. The concept aims to bridge the gap between manually actuated laparoscopic instruments and surgical robots. Nickel-titanium shape memory alloys are used for actuation because of their high specific energy density. The work includes the manufacturing of a functional model as a proof of concept comprising the development of a suitable forceps mechanism and electronic circuit for position control and gripping force measurement, as well as designing an ergonomic user interface with haptic force feedback.

Identifiants

pubmed: 34501197
pii: ma14175111
doi: 10.3390/ma14175111
pmc: PMC8434184
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Bundesministerium für Wirtschaft und Energie
ID : IGF No. 19307/BR/1

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Auteurs

Dennis Braun (D)

Fraunhofer Institute for Machine Tools and Forming Technology, Department of Medical Engineering, Nöthnitzer Str. 44, 01187 Dresden, Germany.

David Weik (D)

Fraunhofer Institute for Machine Tools and Forming Technology, Department of Medical Engineering, Nöthnitzer Str. 44, 01187 Dresden, Germany.

Sophia Elsner (S)

Fraunhofer Institute for Machine Tools and Forming Technology, Department of Medical Engineering, Nöthnitzer Str. 44, 01187 Dresden, Germany.

Sandra Hunger (S)

Fraunhofer Institute for Machine Tools and Forming Technology, Department of Medical Engineering, Nöthnitzer Str. 44, 01187 Dresden, Germany.

Michael Werner (M)

Fraunhofer Institute for Machine Tools and Forming Technology, Department of Medical Engineering, Nöthnitzer Str. 44, 01187 Dresden, Germany.

Welf-Guntram Drossel (WG)

Fraunhofer Institute for Machine Tools and Forming Technology, Department of Medical Engineering, Nöthnitzer Str. 44, 01187 Dresden, Germany.
Professorship for Adaptronics and Lightweight Design in Production, Chemnitz University of Technology, Straße der Nationen 62, 09111 Chemnitz, Germany.

Classifications MeSH