Application and comparison of feature-based classification models for multistable impact motions of percussive drilling

Afebu, Kenneth Omokhagbo; Liu, Yang; Papatheou, Evangelos

doi:10.1016/j.jsv.2021.116205

Cited by 9 publications

(1 citation statement)

References 50 publications

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“…As the vibro-impact mechanism mainly rely on a large instantaneous force during impact as the output, rather than driving the payload by the actuator directly, the damping in the payload shows negligible effects on the oscillation of the internal mass and the output performance of the system. Vibro-impact mechanisms have been adopted in various engineering applications, such as vibro-impact drilling [24][25][26], energy harvesting [27][28][29], and pipeline robots [30,31]. Li et al [32] studied a harmonic vibroimpact drilling system and modelled the energy response of rock under harmonic vibroimpact.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Dynamics of a Resonant-Impact Dielectric Elastomer Actuator

Cai

Gao

et al. 2022

ASI

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In recent years, with the rapid development of soft robots, dielectric elastomer actuators (DEAs) as a novel type of soft actuators have been widely studied. However, DEAs often suffer from low instantaneous output force/power, especially in high payload damping conditions, which limits their applications in certain scenarios. Inspired by the vibro-impact mechanisms found in many engineering systems (e.g., pile driving and percussive drilling), a resonant-impact DEA system was proposed in the authors’ previous work to potentially address this limitation. However, due to the complex nonlinearities and unique electromechanically coupled forcing mechanism of DEAs, no nonlinear dynamic model was developed to perform systematic investigations and optimization. In this paper, a nonlinear dynamic model of the resonant-impact DEA system is developed by considering multiple nonlinearities, viscoelasticity, and electromechanical coupling. Using both a numerical model and extensive experiments, the nonlinear dynamics of the resonant-impact DEA system are studied in depth. The effects of several key parameters, including excitation voltage amplitude, constraint gap, constraint stiffness, and number of DEA layers, on the dynamic response of the system are characterized. The findings reported in this paper can provide guidance for the performance optimization of resonance-impact DEA systems and their applications.

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Section: Introductionmentioning

confidence: 99%

Nonlinear Dynamics of a Resonant-Impact Dielectric Elastomer Actuator

Cai

Gao

et al. 2022

ASI

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Near-grazing bifurcations and deep reinforcement learning control of an impact oscillator with elastic constraints

et al. 2022

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Machine learning-based rock characterisation models for rotary-percussive drilling

2022

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Vibro-impact drilling has shown huge potential of delivering better rate of penetration, improved tools lifespan and better borehole stability. However, being resonantly instigated, the technique requires a continuous and quantitative characterisation of drill-bit encountered rock materials in order to maintain optimal drilling performance. The present paper introduces a non-conventional method for downhole rock characterisation using measurable impact dynamics and machine learning algorithms. An impacting system that mimics bit-rock impact actions is employed in this present study, and various multistable responses of the system have been simulated and investigated. Features from measurable drill-bit acceleration signals were integrated with operated system parameters and machine learning methods to develop intelligent models capable of quantitatively characterising downhole rock strength. Multilayer perceptron, support vector regression and Gaussian process regression networks have been explored. Based on the performance analysis, the multilayer perceptron networks showed the highest potential for the real-time quantitative rock characterisation using considered acceleration features.

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Application and comparison of feature-based classification models for multistable impact motions of percussive drilling

Cited by 9 publications

References 50 publications

Nonlinear Dynamics of a Resonant-Impact Dielectric Elastomer Actuator

Nonlinear Dynamics of a Resonant-Impact Dielectric Elastomer Actuator

Near-grazing bifurcations and deep reinforcement learning control of an impact oscillator with elastic constraints

Machine learning-based rock characterisation models for rotary-percussive drilling

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