Dynamic method of stiffness identification in impacting systems for percussive drilling applications

Maolin Liao, James Ing*, Mukthar Sayah, Marian Wiercigroch

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Citations (Scopus)
6 Downloads (Pure)

Abstract

This paper introduces a dynamic method for the stiffness identification of an impacted object via analysis of its corresponding impact duration. To accurately detect the impact durations from experimental signals, nonlinear time series methods are applied. Two low-dimensional dynamical systems, including a piecewise-linear impact oscillator and a rock impacting system, are studied experimentally and numerically to demonstrate the proposed method. Meanwhile, the analytical prediction of the impact duration for the period-one one-impact motion is developed. The results of both systems indicate that, for a certain stiffness, the impact duration of the period-one one-impact motion is nearly constant. The higher the stiffness, the lower the impact duration. This monotone correlation provides a mechanism to estimate the stiffness of the impacted object once the impact duration has been accurately detected. The developed method can be used to optimise percussive drilling parameters.

Original languageEnglish
Pages (from-to)224-244
Number of pages21
JournalMechanical Systems and Signal Processing
Volume80
Early online date12 May 2016
DOIs
Publication statusPublished - Dec 2016

Fingerprint

Drilling
Stiffness
Time series
Dynamical systems
Rocks

Keywords

  • Impact oscillator
  • Nonlinear time series analysis
  • Rock impacting system
  • Stiffness identification
  • Tangent vector analysis

ASJC Scopus subject areas

  • Mechanical Engineering
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Signal Processing

Cite this

Dynamic method of stiffness identification in impacting systems for percussive drilling applications. / Liao, Maolin; Ing, James; Sayah, Mukthar; Wiercigroch, Marian.

In: Mechanical Systems and Signal Processing, Vol. 80, 12.2016, p. 224-244.

Research output: Contribution to journalArticle

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