Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation

Fei Liu; Mitja Trkov; Jingang Yi; Nenad Gucunski

doi:10.1109/CoASE.2013.6654053

Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation

Fei Liu, Mitja Trkov, Jingang Yi, Nenad Gucunski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

This paper presents a dynamic model of pure percussive drilling for autonomous robotic rehabilitation for concrete bridge decks. We first describe the autonomous mobile manipulator-based concrete drilling system for bridge deck rehabilitation. A dry friction-based pure percussive drilling model is then presented to describe the drilling process characteristics and to capture the influence of drilling conditions and parameters on the penetration rate. One attractive property of the proposed model is the physical interpretation of the crushing/chipping effects in percussive drilling process. The model and its properties are validated and demonstrated through extensive drilling experiments.

Original language	English (US)
Title of host publication	2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Pages	1063-1068
Number of pages	6
DOIs	https://doi.org/10.1109/CoASE.2013.6654053
State	Published - 2013
Externally published	Yes
Event	2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States Duration: Aug 17 2013 → Aug 20 2013

Publication series

Name	IEEE International Conference on Automation Science and Engineering
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Other

Other	2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Country/Territory	United States
City	Madison, WI
Period	8/17/13 → 8/20/13

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/CoASE.2013.6654053

Cite this

@inproceedings{c1f15ccb8feb4a62a466fe98e7d7e198,

title = "Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation",

abstract = "This paper presents a dynamic model of pure percussive drilling for autonomous robotic rehabilitation for concrete bridge decks. We first describe the autonomous mobile manipulator-based concrete drilling system for bridge deck rehabilitation. A dry friction-based pure percussive drilling model is then presented to describe the drilling process characteristics and to capture the influence of drilling conditions and parameters on the penetration rate. One attractive property of the proposed model is the physical interpretation of the crushing/chipping effects in percussive drilling process. The model and its properties are validated and demonstrated through extensive drilling experiments.",

author = "Fei Liu and Mitja Trkov and Jingang Yi and Nenad Gucunski",

year = "2013",

doi = "10.1109/CoASE.2013.6654053",

language = "English (US)",

isbn = "9781479915156",

series = "IEEE International Conference on Automation Science and Engineering",

pages = "1063--1068",

booktitle = "2013 IEEE International Conference on Automation Science and Engineering, CASE 2013",

note = "2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 ; Conference date: 17-08-2013 Through 20-08-2013",

}

Liu, F, Trkov, M, Yi, J & Gucunski, N 2013, Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation. in 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013., 6654053, IEEE International Conference on Automation Science and Engineering, pp. 1063-1068, 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013, Madison, WI, United States, 8/17/13. https://doi.org/10.1109/CoASE.2013.6654053

Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation. / Liu, Fei; Trkov, Mitja; Yi, Jingang et al.

2013 IEEE International Conference on Automation Science and Engineering, CASE 2013. 2013. p. 1063-1068 6654053 (IEEE International Conference on Automation Science and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation

AU - Liu, Fei

AU - Trkov, Mitja

AU - Yi, Jingang

AU - Gucunski, Nenad

PY - 2013

Y1 - 2013

N2 - This paper presents a dynamic model of pure percussive drilling for autonomous robotic rehabilitation for concrete bridge decks. We first describe the autonomous mobile manipulator-based concrete drilling system for bridge deck rehabilitation. A dry friction-based pure percussive drilling model is then presented to describe the drilling process characteristics and to capture the influence of drilling conditions and parameters on the penetration rate. One attractive property of the proposed model is the physical interpretation of the crushing/chipping effects in percussive drilling process. The model and its properties are validated and demonstrated through extensive drilling experiments.

AB - This paper presents a dynamic model of pure percussive drilling for autonomous robotic rehabilitation for concrete bridge decks. We first describe the autonomous mobile manipulator-based concrete drilling system for bridge deck rehabilitation. A dry friction-based pure percussive drilling model is then presented to describe the drilling process characteristics and to capture the influence of drilling conditions and parameters on the penetration rate. One attractive property of the proposed model is the physical interpretation of the crushing/chipping effects in percussive drilling process. The model and its properties are validated and demonstrated through extensive drilling experiments.

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DO - 10.1109/CoASE.2013.6654053

M3 - Conference contribution

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T3 - IEEE International Conference on Automation Science and Engineering

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BT - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

T2 - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

Y2 - 17 August 2013 through 20 August 2013

ER -

Modeling of pure percussive drilling for autonomous robotic bridge decks rehabilitation

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All Science Journal Classification (ASJC) codes

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