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dc.contributor.advisorSangbae Kim.en_US
dc.contributor.authorStudebaker, Sethen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2017-12-05T19:17:32Z
dc.date.available2017-12-05T19:17:32Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/112542
dc.descriptionThesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 54).en_US
dc.description.abstractwith the ultimate goal of assisting the elderly and disabled with fall prevention and mitigation as well as providing athletes with critical data for training. The force sensing footpad, originally developed for use on the MIT Cheetah robot, integrates lightweight pressure sensors and a urethane rubber, Smooth-On's Vytaflex@ 20, to sense force in both the normal and shear directions. In previous work, cylindrical footpads with a single pressure sensor of differing heights and diameters were tested by applying displacements to the material. The experimental force and voltage from the pressure sensor were recorded. The thesis aims to provide a Finite Element Analysis (FEA) model in Abaqus that accurately simulates and models the footpad sensors and is validated by the physical experimental results. While previous work had been done to model and simulate the footpad using FEA, little was known about the properties of the Vytaflex@ material and a Neo-Hookean model based on coefficients for a silicone rubber was used to model the footpad. In order to provide accurate simulations, the thesis seeks to determine the best hyperelastic constitutive model to describe the material. Uniaxial tensile, uniaxial compression, planar tension, and volumetric compression tests were performed to determine the hyperelastic material model of the rubber. The Odgen n=2 material model was determined to be the best fit for the data and was used to describe the material properties in the Abaqus simulations. Abaqus models were created to represent the various cylindrical footpads and simulations were run using Abaqus's dynamic explicit analysis. Stress data from the simulation results was then converted to a voltage using an effective sensitivity and intercept adjustment factor. The effective sensitivity and intercept adjustment factor were adjusted until the simulation results matched that of the experiments. Using these constants, the stresses inside the footpad can now be determined from the voltage readings of the pressure sensor.en_US
dc.description.statementofresponsibilityby Seth Studebaker.en_US
dc.format.extent54 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleMaterial modeling and sensor characterization for optimizing footpad force sensing arrayen_US
dc.typeThesisen_US
dc.description.degreeS.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc1012944434en_US


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