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Trajectory Identification of a Reciprocating Drill for Geological Inspections

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Sensors and Instrumentation, Volume 5

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Abstract

This work analyses the feasibility of a new kind of instrument for geological exploration based on the reciprocating drilling technology. The instrument design is particularly challenging, given the harsh environmental conditions typical of this field. After the analysis of the state of the art in the field of reciprocating drilling we focused on the measurement system for the computation of the drill trajectory. The Monte Carlo method is first used to compare the robustness of three different algorithms for the identification of the trajectory. On the basis of this simulation the measurement system has been designed and its principal components, underwent a metrological calibration procedure in order to evaluate the basic performances at high temperatures.

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Authors and Affiliations

  1. Department of Industrial and Information Engineering, Università degli Studi di Pavia, Via Adolfo Ferrata 5, 27100, Pavia(PV), Italy

    H. Giberti

  2. Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156, Milano(MI), Italy

    P. Marzaroli, B. Saggin & M. Tarabini

Authors
  1. H. Giberti
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  2. P. Marzaroli
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  3. B. Saggin
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  4. M. Tarabini
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Corresponding author

Correspondence to H. Giberti .

Editor information

Editors and Affiliations

  1. LearnSV.com, Hermosa Beach, California, USA

    Evro Wee Sit

  2. PCB Piezotronics, Inc., Depew, New York, USA

    Chad Walber

  3. Texas Christian University, Fort Worth, Texas, USA

    Patrick Walter

  4. Cummins (United States), St. Paul, Minnesota, USA

    Steve Seidlitz

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© 2017 The Society for Experimental Mechanics, Inc.

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Giberti, H., Marzaroli, P., Saggin, B., Tarabini, M. (2017). Trajectory Identification of a Reciprocating Drill for Geological Inspections. In: Wee Sit, E., Walber, C., Walter, P., Seidlitz, S. (eds) Sensors and Instrumentation, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54987-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-54987-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54986-6

  • Online ISBN: 978-3-319-54987-3

  • eBook Packages: EngineeringEngineering (R0)

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