Design and Experiment of a Percussion Mechanism for a Self-Penetrating Drilling Robot

  • Zhiwei Long
  • , Riyue Wu
  • , Mingcong Wang
  • , Guangfei Zhang
  • , Haifei Zhu
  • , Yisheng Guan
  • , Tao Zhang*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In future deep planetary exploration missions, self-penetrating drilling robots (SPDRs) are expected to play a crucial role. Given the extreme environments and energy constraints of extraterrestrial planets, rotary percussion drilling emerges as the preferred drilling method for the robots. To address the drilling requirements of the SPDR on extraterrestrial planets, a design method for a highly integrated, small-sized and variable percussion frequency percussion mechanism suitable for extraterrestrial environment is proposed. On this, the dynamics model of the percussion mechanism was established and the response curves of percussion frequency and percussion work under various excitation frequencies were obtained. Subsequently, the drilling experimental system was designed and constructed. The effectiveness of the percussion mechanism was validated through comparative experiments. Results demonstrate that the percussion mechanism can enhance drilling efficiency from 16.4% to 38.3% without increasing the volume of the robot.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 17th International Conference, ICIRA 2024, Proceedings
EditorsXuguang Lan, Xuesong Mei, Caigui Jiang, Fei Zhao, Zhiqiang Tian
PublisherSpringer Science and Business Media Deutschland GmbH
Pages241-253
Number of pages13
ISBN (Print)9789819607709
DOIs
StatePublished - 2025
Externally publishedYes
Event17th International Conference on Intelligent Robotics and Applications, ICIRA 2024 - Xi'an, China
Duration: 31 Jul 20242 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15201 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Intelligent Robotics and Applications, ICIRA 2024
Country/TerritoryChina
CityXi'an
Period31/07/242/08/24

Keywords

  • Dynamical model
  • Percussion mechanism
  • Prototype testing

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