Non-linear beam theory in context of bio-inspired sensing of flows

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The thesis at hand is part of a research project that attempts to study and develop vibrissa inspired tactile sensors for object and fluid flow detection. The main focus of the thesis is on the development of a model for a vibrissa-like sensor for obstacle contour recognition under fluid loads. To t...

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Detalles Bibliográficos
Autor: Lavayen Farfán, Daniel
Formato: tesis de maestría
Fecha de Publicación:2016
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Tesis
Lenguaje:inglés
OAI Identifier:oai:tesis.pucp.edu.pe:20.500.12404/8324
Enlace del recurso:http://hdl.handle.net/20.500.12404/8324
Nivel de acceso:acceso abierto
Materia:Teoría de las haces
Materiales biomédicos
https://purl.org/pe-repo/ocde/ford#2.03.01
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dc.title.es_ES.fl_str_mv Non-linear beam theory in context of bio-inspired sensing of flows
title Non-linear beam theory in context of bio-inspired sensing of flows
spellingShingle Non-linear beam theory in context of bio-inspired sensing of flows
Lavayen Farfán, Daniel
Teoría de las haces
Materiales biomédicos
https://purl.org/pe-repo/ocde/ford#2.03.01
title_short Non-linear beam theory in context of bio-inspired sensing of flows
title_full Non-linear beam theory in context of bio-inspired sensing of flows
title_fullStr Non-linear beam theory in context of bio-inspired sensing of flows
title_full_unstemmed Non-linear beam theory in context of bio-inspired sensing of flows
title_sort Non-linear beam theory in context of bio-inspired sensing of flows
author Lavayen Farfán, Daniel
author_facet Lavayen Farfán, Daniel
author_role author
dc.contributor.advisor.fl_str_mv Behn, Carsten
Elías Giordano, Dante Ángel
dc.contributor.author.fl_str_mv Lavayen Farfán, Daniel
dc.subject.es_ES.fl_str_mv Teoría de las haces
Materiales biomédicos
topic Teoría de las haces
Materiales biomédicos
https://purl.org/pe-repo/ocde/ford#2.03.01
dc.subject.ocde.es_ES.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.03.01
description The thesis at hand is part of a research project that attempts to study and develop vibrissa inspired tactile sensors for object and fluid flow detection. The main focus of the thesis is on the development of a model for a vibrissa-like sensor for obstacle contour recognition under fluid loads. To this end, a mechanical model – based on the non-linear Euler-Bernoulli beam theory – is established. The model includes the main characteristics found in a natural vibrissa, such as elasticity of the base, that acts as the vibrissa follicle; the intrinsic curvature; and conicity. The characteristics are represented as parameters of the model. The model is subjected to a contact load and a fluid flow load, represented by a concentrated load and a distributed load, respectively. Then, the model is transformed into a dimensionless representation for further studies to achieve more general assertions. A variation of the magnitude of these loads, as well as the vibrissa parameters is also analyzed. A direct numerical approximation using the finite difference method, along with the shooting method, is used to obtain a solution of the model. Subsequently, the model is used to simulate an ideal contact between an obstacle and the vibrissa. This simulation considers a quasi-static sweep of the artificial vibrissa with the contour of a profile, while measuring and recording the forces and moment at the base. This procedure is then repeated in combination of a distributed force acting on the vibrissa, simulating the effect of a fluid flow. Two types of contact phases are identified and the conditions for each one are set. Finally, the measured quantities, which represent the observables an animal solely relies on, are used to obtain the magnitude of the fluid load and to reconstruct the profile contour of the obstacle. The developed model is used again for the reconstruction, an analysis of the observables is performed to identify and predict which contact phase the vibrissa is in. The results successfully show identification of the fluid flow load as well as reconstruction of the profile, the difference between the reconstructed profile and the original profile is then calculated as a measure of reconstruction quality.
publishDate 2016
dc.date.created.es_ES.fl_str_mv 2016
dc.date.accessioned.es_ES.fl_str_mv 2017-03-31T20:43:22Z
dc.date.available.es_ES.fl_str_mv 2017-03-31T20:43:22Z
dc.date.issued.fl_str_mv 2017-03-31
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12404/8324
url http://hdl.handle.net/20.500.12404/8324
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.relation.ispartof.fl_str_mv SUNEDU
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/pe/
dc.publisher.es_ES.fl_str_mv Pontificia Universidad Católica del Perú
dc.publisher.country.es_ES.fl_str_mv PE
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spelling Behn, CarstenElías Giordano, Dante ÁngelLavayen Farfán, Daniel2017-03-31T20:43:22Z2017-03-31T20:43:22Z20162017-03-31http://hdl.handle.net/20.500.12404/8324The thesis at hand is part of a research project that attempts to study and develop vibrissa inspired tactile sensors for object and fluid flow detection. The main focus of the thesis is on the development of a model for a vibrissa-like sensor for obstacle contour recognition under fluid loads. To this end, a mechanical model – based on the non-linear Euler-Bernoulli beam theory – is established. The model includes the main characteristics found in a natural vibrissa, such as elasticity of the base, that acts as the vibrissa follicle; the intrinsic curvature; and conicity. The characteristics are represented as parameters of the model. The model is subjected to a contact load and a fluid flow load, represented by a concentrated load and a distributed load, respectively. Then, the model is transformed into a dimensionless representation for further studies to achieve more general assertions. A variation of the magnitude of these loads, as well as the vibrissa parameters is also analyzed. A direct numerical approximation using the finite difference method, along with the shooting method, is used to obtain a solution of the model. Subsequently, the model is used to simulate an ideal contact between an obstacle and the vibrissa. This simulation considers a quasi-static sweep of the artificial vibrissa with the contour of a profile, while measuring and recording the forces and moment at the base. This procedure is then repeated in combination of a distributed force acting on the vibrissa, simulating the effect of a fluid flow. Two types of contact phases are identified and the conditions for each one are set. Finally, the measured quantities, which represent the observables an animal solely relies on, are used to obtain the magnitude of the fluid load and to reconstruct the profile contour of the obstacle. The developed model is used again for the reconstruction, an analysis of the observables is performed to identify and predict which contact phase the vibrissa is in. 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