Free and Forced Vibration Modes of the Human Fingertip

Computational analysis of free and forced vibration responses provides crucial information on the dynamic characteristics of deformable bodies. Although such numerical techniques are prevalently used in many disciplines, they have been underutilized in the quest to understand the form and function o...

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Main Authors: Gokhan Serhat, Katherine J. Kuchenbecker
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/12/5709
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spelling doaj-cc7586187d8a40dba6730ea9f973f7562021-07-01T00:40:13ZengMDPI AGApplied Sciences2076-34172021-06-01115709570910.3390/app11125709Free and Forced Vibration Modes of the Human FingertipGokhan Serhat0Katherine J. Kuchenbecker1Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, GermanyHaptic Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, GermanyComputational analysis of free and forced vibration responses provides crucial information on the dynamic characteristics of deformable bodies. Although such numerical techniques are prevalently used in many disciplines, they have been underutilized in the quest to understand the form and function of human fingers. We addressed this opportunity by building DigiTip, a detailed three-dimensional finite element model of a representative human fingertip that is based on prior anatomical and biomechanical studies. Using the developed model, we first performed modal analyses to determine the free vibration modes with associated frequencies up to about 250 Hz, the frequency at which humans are most sensitive to vibratory stimuli on the fingertip. The modal analysis results reveal that this typical human fingertip exhibits seven characteristic vibration patterns in the considered frequency range. Subsequently, we applied distributed harmonic forces at the fingerprint centroid in three principal directions to predict forced vibration responses through frequency-response analyses; these simulations demonstrate that certain vibration modes are excited significantly more efficiently than the others under the investigated conditions. The results illuminate the dynamic behavior of the human fingertip in haptic interactions involving oscillating stimuli, such as textures and vibratory alerts, and they show how the modal information can predict the forced vibration responses of the soft tissue.https://www.mdpi.com/2076-3417/11/12/5709human fingertipssoft-tissue dynamicsnatural vibration modesfrequency-response analysisfinite element modeling
collection DOAJ
language English
format Article
sources DOAJ
author Gokhan Serhat
Katherine J. Kuchenbecker
spellingShingle Gokhan Serhat
Katherine J. Kuchenbecker
Free and Forced Vibration Modes of the Human Fingertip
Applied Sciences
human fingertips
soft-tissue dynamics
natural vibration modes
frequency-response analysis
finite element modeling
author_facet Gokhan Serhat
Katherine J. Kuchenbecker
author_sort Gokhan Serhat
title Free and Forced Vibration Modes of the Human Fingertip
title_short Free and Forced Vibration Modes of the Human Fingertip
title_full Free and Forced Vibration Modes of the Human Fingertip
title_fullStr Free and Forced Vibration Modes of the Human Fingertip
title_full_unstemmed Free and Forced Vibration Modes of the Human Fingertip
title_sort free and forced vibration modes of the human fingertip
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-06-01
description Computational analysis of free and forced vibration responses provides crucial information on the dynamic characteristics of deformable bodies. Although such numerical techniques are prevalently used in many disciplines, they have been underutilized in the quest to understand the form and function of human fingers. We addressed this opportunity by building DigiTip, a detailed three-dimensional finite element model of a representative human fingertip that is based on prior anatomical and biomechanical studies. Using the developed model, we first performed modal analyses to determine the free vibration modes with associated frequencies up to about 250 Hz, the frequency at which humans are most sensitive to vibratory stimuli on the fingertip. The modal analysis results reveal that this typical human fingertip exhibits seven characteristic vibration patterns in the considered frequency range. Subsequently, we applied distributed harmonic forces at the fingerprint centroid in three principal directions to predict forced vibration responses through frequency-response analyses; these simulations demonstrate that certain vibration modes are excited significantly more efficiently than the others under the investigated conditions. The results illuminate the dynamic behavior of the human fingertip in haptic interactions involving oscillating stimuli, such as textures and vibratory alerts, and they show how the modal information can predict the forced vibration responses of the soft tissue.
topic human fingertips
soft-tissue dynamics
natural vibration modes
frequency-response analysis
finite element modeling
url https://www.mdpi.com/2076-3417/11/12/5709
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