Design of recirculation system and re-valve for increasing the compressing efficiency

S. Y. Lee, K. H. Han, D. Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A pneumatic actuator ensures the safety of the wearable robots due to its compliant characteristics and high force density. However, the pneumatic actuator has the following problems: low compressing efficiency, low control bandwidth, and high noise. To overcome these problems, we have proposed the recirculation system. The concept is recycling high-pressure exhausted air in order to increase compressing efficiency. We have designed a Re-valve to recycle the compressed air and evaluated with experiments. The experimental results showed that the rest time of the compressor increased by 17.4%. The proposed system help pneumatic actuation to improve efficiency and performance while reducing noise.

Original languageEnglish
Title of host publication2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-367
Number of pages2
ISBN (Electronic)9781509030552
DOIs
Publication statusPublished - 2017 Jul 25
Event14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of
Duration: 2017 Jun 282017 Jul 1

Publication series

Name2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017

Other

Other14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Country/TerritoryKorea, Republic of
CityJeju
Period17/6/2817/7/1

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NFR-2015R1C1A1A02036412) This work was supported by the National Research Foundation of Korea(NRF) Grant funded by the Korean Government(MSIP)(No.NRF-2016R1A5A1938472)

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Biomedical Engineering
  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

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