Evaluation of 3D Printed Soft Robots in Radiation Environments and Comparison With Molded Counterparts

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Robots have an important role during inspection, clean-up, and sample collection in unstructured radiation environments inaccessible to humans. The advantages of soft robots, such as body morphing, high compliance, and energy absorption during impact, make them suitable for operating under extreme conditions. Despite their promise, the usefulness of soft robots under a radiation environment has yet to be assessed. In this work, we evaluate the effectiveness of soft robots fabricated from polydimethylsiloxane (PDMS), a common fabrication material, under radiation for the first time. We investigated gamma-induced mechanical damage in the PDMS materials’ mechanical properties, including elongation, tensile strength, and stiffness. We selected three radiation environments from the nuclear industry to represent a wide range of radiation and then submerged a 3D printed hexapus robot into a radiation environment to estimate its operation time. Finally, to test the reliability of the 3D printed soft robots, we compared their performances with molded counterparts. To analyze performance results in detail, we also investigated dimensional errors and the effects of fabrication methods, nozzle size, and print direction on the stiffness of PDMS material. Results of this study show that with increasing exposure to gamma irradiation, the mechanical properties of PDMS decrease in functionality but are minimally impacted up to 20 kGy gamma radiation. Considering the fractional changes to the PDMS mechanical properties, it is safe to assume that soft robots could operate for 12 h in two of the three proposed radiation environments. We also verified that the 3D printed soft robots can perform better than or equal to their molded counterparts while being more reliable.

Osman Dogan Yirmibesoglu
Robotics Ph.D. Candidate
Oregon State University
 
Mr. Osman Dogan Yirmibesoglu is a Robotics Ph.D. candidate in the Collaborative Robotics and Intelligent Systems (CoRIS) Institute of Oregon State University. His research aim is to advance soft robot designs and performance with additive manufacturing by introducing complex building blocks. Before joining the Ph.D. program at Oregon State University, he completed B.S degrees in Mechanical Engineering (2015) and Electronics Engineering (2014) in Ozyegin University, Istanbul, Turkey. He earned his Master’s degree from Oregon State University in 2018.


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  • Date: 12 Oct 2020
  • Time: 06:30 PM to 08:00 PM
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  • Starts 01 October 2020 12:25 PM
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