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   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Roche, Ellen</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Gollob, Samuel Dutra</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2022-01-14T15:14:33Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued">2021-06</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2021-06-30T15:23:50.578Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/139481</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">In this thesis, we present a generalized modeling tool for predicting the output force profile of vacuum-powered soft actuators using a simplified geometrical approach and the principle of virtual work. Previous work has derived analytical formulas to model the force-contraction profile of specific actuators. To enhance the versatility and the efficiency of the modelling process we propose a generalized numerical algorithm based purely on geometrical inputs, which can be tailored to the desired actuator, to estimate its force-contraction profile quickly and for any combination of varying geometrical parameters. We identify a class of linearly contracting vacuum actuators that consists of a polymeric skin guided by a rigid skeleton and apply our model to two such actuators - vacuum bellows and Fluid-driven Origami-inspired Artificial Muscles (FOAMs) - to demonstrate the versatility of our model. We perform experiments to validate that our model can predict the force profile of the actuators using its geometric principles, modularly combined with design-specific external adjustment factors. Our framework can be used as a versatile design tool that allows users to perform parametric studies and rapidly and efficiently tune actuator dimensions to produce a force-contraction profile to meet their needs, and as a pre-screening tool to obviate the need for multiple rounds of time-intensive actuator fabrication and testing.&#xd;
&#xd;
The work presented here was published in Frontiers in Robotics and AI on 03 March 2021, “A Modular Geometrical Framework for Modelling the Force-Contraction Profile of Vacuum-Powered Soft Actuators,” by S. Gollob et al. Figures reproduced from this work are referenced following the journal's open-access Creative Commons practices.</dim:field>
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   <dim:field mdschema="dc" element="title">Generalizable Modelling of Vacuum-Powered Soft Actuators And Its Use in Design for Mechanical Assistive Applications</dim:field>
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   	&lt;Title>Generalizable Modelling of Vacuum-Powered Soft Actuators And Its Use in Design for Mechanical Assistive Applications&lt;/Title>
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   	&lt;PublicationDate>2021-06&lt;/PublicationDate>
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   	&lt;Abstract>In this thesis, we present a generalized modeling tool for predicting the output force profile of vacuum-powered soft actuators using a simplified geometrical approach and the principle of virtual work. Previous work has derived analytical formulas to model the force-contraction profile of specific actuators. To enhance the versatility and the efficiency of the modelling process we propose a generalized numerical algorithm based purely on geometrical inputs, which can be tailored to the desired actuator, to estimate its force-contraction profile quickly and for any combination of varying geometrical parameters. We identify a class of linearly contracting vacuum actuators that consists of a polymeric skin guided by a rigid skeleton and apply our model to two such actuators - vacuum bellows and Fluid-driven Origami-inspired Artificial Muscles (FOAMs) - to demonstrate the versatility of our model. We perform experiments to validate that our model can predict the force profile of the actuators using its geometric principles, modularly combined with design-specific external adjustment factors. Our framework can be used as a versatile design tool that allows users to perform parametric studies and rapidly and efficiently tune actuator dimensions to produce a force-contraction profile to meet their needs, and as a pre-screening tool to obviate the need for multiple rounds of time-intensive actuator fabrication and testing.&#xd;
&#xd;
The work presented here was published in Frontiers in Robotics and AI on 03 March 2021, “A Modular Geometrical Framework for Modelling the Force-Contraction Profile of Vacuum-Powered Soft Actuators,” by S. Gollob et al. Figures reproduced from this work are referenced following the journal&amp;apos;s open-access Creative Commons practices.&lt;/Abstract>
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