Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2020
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Online Access: | https://hdl.handle.net/1721.1/127860 |
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author | Zollinger, Lyndie. |
author2 | . |
author_facet | . Zollinger, Lyndie. |
author_sort | Zollinger, Lyndie. |
collection | MIT |
description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 |
first_indexed | 2024-09-23T08:14:28Z |
format | Thesis |
id | mit-1721.1/127860 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:14:28Z |
publishDate | 2020 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1278602020-10-09T03:35:58Z Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation Zollinger, Lyndie. . Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (page 61). Fluid Powered Elastomeric Actuators are a class of soft robotic actuators of particular interest for biomimetic designs because researchers can replicate certain motions by tailoring the mechanical properties of the actuator through the use of different fibers and materials. [1] Hu et al. showed that pre-curved fiber-reinforced actuators could be used to mimic more complex geometries and motions. [2] Optimization techniques for determining optimal fabrication parameters for such actuators were developed by Hu et al. from a modified version of Connolly et al.'s technique to generate fiber reinforced actuators optimized to follow a given input trajectory. [2, 1] This modified optimization technique was adapted for the specific application of creating biomimetic actuators to follow the motion of the human diaphragm. [2] The technology relies on extracting motion trajectories from clinical imaging data. This work analyzes and optimizes Hu et al.'s assumptions in visually choosing a planar location for the diaphragm anchoring point into the ribs based off of pixel locations within a Magnetic Resonance Imaging (MRI) scan in order to choose actuators to fabricate for further testing. We conducted a sensitivity analysis on the effect of varying this assumed anchoring point over a span of 3.1cm. We found no statistically significant differences in the mean error of the fabrication datasets corresponding to three selected anchoring location values. We determined that an assumed offset of 130 pixels (28.9 cm from the top of the image) provided an optimal compromise for minimizing error while still being a biologically realistic assumption. This fabrication dataset was thus selected for further development. Computer-aided design (CAD) models of the actuators were developed and used in creating molds. The actuators were then manufactured using the developed molds. Due to the complex nature of studying generated forces on a curved actuator, a modular test fixture compatible with minor modifications to the molds was developed for an Instron test setup. The test fixture was developed and prepared for testing. The future results of this testing will provide further insights into the feasibility of developing a soft robotic biomimetic diaphragm. by Lyndie Zollinger. S.B. S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering 2020-10-08T21:27:36Z 2020-10-08T21:27:36Z 2020 2020 Thesis https://hdl.handle.net/1721.1/127860 1196819235 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 69 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Mechanical Engineering. Zollinger, Lyndie. Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation |
title | Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation |
title_full | Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation |
title_fullStr | Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation |
title_full_unstemmed | Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation |
title_short | Comparing the efficacy of fiber reinforced actuators to replicate inhalation vs. exhalation |
title_sort | comparing the efficacy of fiber reinforced actuators to replicate inhalation vs exhalation |
topic | Mechanical Engineering. |
url | https://hdl.handle.net/1721.1/127860 |
work_keys_str_mv | AT zollingerlyndie comparingtheefficacyoffiberreinforcedactuatorstoreplicateinhalationvsexhalation |