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Development of a drilling and coring test-bed for lunar subsurface exploration and preliminary experiments

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Abstract

Drill sampling has been widely employed as an effective way to acquire deep samples in extraterrestrial exploration. A novel sampling method, namely, flexible-tube coring, was adopted for the Chang’e mission to acquire drilling cores without damaging stratification information. Since the extraterrestrial environment is uncertain and different from the terrestrial environment, automated drill sampling missions are at risk of failure. The principles of drilling and coring for the lunar subsurface should be fully tested and verified on earth before launch. This paper proposes a test-bed for conducting the aforementioned experiments on earth. The test-bed comprises a rotary-percussive drilling mechanism, penetrating mechanism, drilling medium container, and signal acquisition and control system. For granular soil, coring experiments indicate that the sampling method has a high coring rate greater than 80%. For hard rock, drilling experiments indicate that the percussive frequency greatly affects the drilling efficiency. A multi-layered simulant composed of granular soil and hard rock is built to test the adaptability of drilling and coring. To tackle complex drilling media, an intelligent drilling strategy based on online recognition is proposed to improve the adaptability of the sampling drill. The primary features of this research are the proposal of a scheme for drilling and coring a test-bed for validation on earth and the execution of drilling experiments in complex media.

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References

  1. BAR-COHEN Y, ZACNY K. Drilling in extreme environments[M]. Weinheim: WILEY-VCH, 2009: 347–541.

    Book  Google Scholar 

  2. DENG Zongquan, TIAN Ye, TANG Dewei, et al. Research on new structure coring bit for extraterrestrial bodies exploration[J]. Journal of Mechanical Engineering, 2013, 49(10): 104–110. (in Chinese)

    Article  Google Scholar 

  3. ALLTON J H. Catalog of Apollo lunar surface geological sampling tools and containers[R]. Lockheed Engineering and Sciences Company, 1989: 6–20.

    Google Scholar 

  4. BERRY R L. Launch window and translunar, lunar orbit, and transearth trajectory planning and control for the Apollo 11 lunar landing mission[M]. American Institute of Aeronautics and Astronautics, 1970.

    Google Scholar 

  5. ZACNY K. Drilling systems for extraterrestrial subsurface exploration[J]. Astrobiology, 2008, 8(3): 665–706.

    Article  Google Scholar 

  6. MATTI A. Concept evaluation of mars drilling and sampling instrument[D]. Helsinki, Finland: Helsinki University of Technology, Laboratory of Space Technology, 2005: 142–145.

    Google Scholar 

  7. PAULSEN G, ZACNY K, CHU P, et al. Robotic drill systems for planetary exploration[C]//Proceedings of AIAA Space 2006 Conference and Exposition, San Jose, California, September 19–21, 2006.

  8. BLACIC J, DREESEN D, MOCKLER T. The 3rd dimension of planetary exploration deep subsurface drilling[C]// Proceedings of AIAA Space 2000 Conference and Exposition, Long Beach, California, September 19–21, 2000.

  9. MARCHESI M, CAMPACI R, NISTA A, et al. Comet sample acquisition for Rosetta lander mission[R]. European Space Agency, (Special Publication) ESA SP, 2001: 91–96.

    Google Scholar 

  10. FINZI A E, ZAZZERA F B, DAINESE C, et al. Space science reviews: SD2-how to sample a comet[M]. Berlin: Springer-Verlag, 2007: 281–299.

    Google Scholar 

  11. MAGNANI P G, RE E, YLIKORPI T, et al. Deep drill(DeeDri) for Mars application[J]. Planetary and Space Science, 2004: 79–82.

    Google Scholar 

  12. OKON A. Mars science laboratory drill[C]//Proceedings of the 40th Aerospace Mechanisms Symposium, NASA Kennedy Space Center, May 12–14, 2010: 1–16

    Google Scholar 

  13. VAN WINNENDAEL M, BAGLIONI P, VAGO J. Development of the ESA ExoMars rover[C]//Proceedings of the 8th International Symposium on Artificial Intelligence, Robotics and Automation in Spacee-iSAIRAS, Munich, Germany, 2005.

  14. KEMURDZHIAN A L, GROMOV V V, CHERKASOV I I. Automatic stations for investigation of the lunar surface[M]. Moscow: Mashinostroyeniye Press, 1976.

    Google Scholar 

  15. ZACNY K, PAULSEN G, DAVIS K, et al. Honeybee robotics planetary drill systems[C]//Proceedings of the 39th Lunar and Planetary Science Conference, Lunar and Planetary Science XXXIX, League City, Texas, 2008: 1391–1355.

    Google Scholar 

  16. GLASS B, CANNON H, BRANSON M, et al. DAME: planetary-prototype drilling automation[J]. Astrobiology, 2008: 653–664.

    Google Scholar 

  17. STATHAM S M. Autonomous structural health monitoring technique for interplanetary drilling applications using laser doppler velocimeters[D]. Georgia Institute of Technology, 2011.

    Google Scholar 

  18. GROMOV V. Physical and mechanical properties of lunar and planetary soils[J]. Earth Moon and Planets, 1999 (80): 51–72.

    Google Scholar 

  19. MITCHELL J K, HOUSTON W N, SCOTT R F, et al. Mechanical properties of lunar soil: Density, porosity, cohesion and angle of internal friction[C]//Proceedings of the third Lunar Science Conference, Cambridge, MA: M.I.T. Press, 1972: 3235–3253.

    Google Scholar 

  20. CARRIER W D, OLHOEFT G R, MENDELL W. Physical properties of the lunar surface[M]//HEIKEN G H, VANIMAN D T, FRENCH B M. Lunar Sourcebook. Cambridge: Cambridge University Press, 1991: 475–594.

    Google Scholar 

  21. MATIJEVIC J R, CRISP J, BICKLER D B, et al. Characterization of the Martian surface deposits by the Mars pathfinder rover, Sojourner[J]. Science, 1997, 278(5344): 1765–1768.

    Article  Google Scholar 

  22. LEONOVICH A K, GROMOV V V, DMITRIEV A D, et al. Investigation of the physical and mechanical properties of lunar sample brought by Luna-20 and along the route of motion of Lunochod 2[C]//Proceedings of the 24th IAF Congress, Baku, USSR, 1973. Oxford: Pergamon Press, Ltd., 1976: 321–332.

    Google Scholar 

  23. ARVIDSON R E, ANDERSON R C, BARTLETT P, et al. Localization and physical properties experiments conducted by Spirit at Gusev crater[J]. Science, 2004, 305(5685): 821–824.

    Article  Google Scholar 

  24. ARVIDSON R E, ANDERSON R C, BARTLETT P, et al. Localization and physical properties experiments conducted by Opportunity at Meridiani planum[J]. Science, 2004, 306(5702): 1730–1733.

    Article  Google Scholar 

  25. HONG W. Modeling, estimation, and control of robot-soil interactions[D]. Massachusetts, USA: Massachusetts Institute of Technology, 2001.

    Google Scholar 

  26. DUNCAN J M, CHANG C Y. Non-linear analysis of stress and strains in soils[J]. Journal of the Soil Mechanics and Foundation Division, 1970, 96(5): 1629–1653.

    Google Scholar 

  27. KONDNER R L. Hyperbolic stress-strain response: cohesive soils[J]. Journal of the Soil Mechanics and Foundation, 1963, 89(1): 115–143.

    Google Scholar 

  28. AVRIL S, BONNET M, BRETELLE A S. Overview of identification methods of mechanical parameters based on full-field measurements [J]. Experimental Mechanics, 2008, 48: 381–402.

    Article  Google Scholar 

  29. MAHNKEN R, STEIN E. A unified approach for parameter identification of inelastic material models in the frame of the finite element method[J]. Computer Methods in Applied Mechanics and Engineering, 1996, 136: 225–258.

    Article  MATH  Google Scholar 

  30. RECHEA C, LEVASSEUR S, FINNO R. Inverse analysis techniques for parameter identification in simulation of excavation support systems[J]. Computers and Geotechnics, 2008, 35: 331–345.

    Article  Google Scholar 

  31. RAMM A G. A uniqueness theorem for two-parameter inversion[J]. Inverse Problems, 1988(4): 7–10.

    Google Scholar 

  32. ZENTAR R, HICHER P Y, MOULIN G. Identification of soil parameters by inverse analysis[J]. Computers and Geotechnics, 2001, 28: 129–144.

    Article  Google Scholar 

  33. MILLAR D L. Automated back analysis of ground response in rocks and soils via evolutionary computing[C]//ISRM. International Symposium-EUROCK 96, International Society for Rock Mechanics, 1996: 975–982.

    Google Scholar 

  34. GIODA G, SAKURAI S. Back analysis procedures for the interpretation of field measurements in geomechanics[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 1987, 11(6): 555–583.

    Article  MATH  Google Scholar 

  35. GIODA G, JURINA L. Numerical identification of soil-structure interaction pressures[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 1981, 5(1): 33–56.

    Article  MATH  Google Scholar 

  36. CALVELLO M, FINNO R J. Selecting parameters to optimize in model calibration by inverse analysis[J]. Computers and Geotechnics, 2004, 31: 411–425.

    Article  Google Scholar 

  37. KELESSIDIS V C, ERGIN H. Analysis and optimization of drilling operating parameters in coring and drilling operations[C]// Proceedings of the 22nd World Mining Congress and Expo 2011, Istanbul, Turkey, 2011: 11–16.

    Google Scholar 

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Correspondence to Qiquan Quan.

Additional information

Supported by National Natural Science Foundation of China(Grant No. 51105092), Introducing Talents of Discipline to Universities(111 Program, Grant No. B07018), Heilongjiang Postdoctoral Grant(Grant No. LBH-Z11168), and China Postdoctoral Science Foundation(Grant No. 2012M520722)

SHI Xiaomeng, born in 1986, is currently a PhD candidate at Research Center of Aerospace Mechanism Control, Harbin Institute of Technology, China. He received his master’s and bachelor’s degree from Harbin Institute of Technology, China, in 2008 and 2010, respectively. His research interests include extraterrestrial planet unmanned sampling.

DENG Zongquan, born in 1956, is currently a professor and a PhD candidate supervisor at the Research Center of Aerospace Mechanism Control, Harbin Institute of Technology, China. His research interests include extraterrestrial planet unmanned sampling.

QUAN Qiquan, born in 1983, is currently an inspector at Research Center of Aerospace Mechanism Control, Harbin Institute of Technology, China. His research interests include extraterrestrial planet unmanned sampling, mobile robots, and ultrasonic sampling.

TANG Dewei, born in 1966, is currently a professor and a PhD candidate supervisor at Research Center of Aerospace Mechanism Control, Harbin Institute of Technology, China. His research interests include extraterrestrial planet unmanned sampling, pipe robots, and gear transmission.

HOU Xuyan, born in 1981, is currently an inspector at Research Center of Aerospace Mechanism Control, Harbin Institute of Technology, China. His research interests include extraterrestrial planet unmanned sampling and DEM simulation.

JIANG Shengyuan, born in 1969, is currently a professor at Research Center of Aerospace Mechanism Control, Harbin Institute of Technology, China. His research interests include extraterrestrial planet unmanned sampling.

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Shi, X., Deng, Z., Quan, Q. et al. Development of a drilling and coring test-bed for lunar subsurface exploration and preliminary experiments. Chin. J. Mech. Eng. 27, 673–682 (2014). https://doi.org/10.3901/CJME.2014.0508.088

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  • DOI: https://doi.org/10.3901/CJME.2014.0508.088

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