Prediction Model of Drilling Performance for Percussive Rock Drilling Tool

Joint Authors

Kim, Dae-Ji
Kim, Jaewon
Lee, Booyeong
Shin, Min-Seok
Oh, Joo-Young
Cho, Jung-Woo
Song, Changheon

Source

Advances in Civil Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-12

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

This study suggests a method for quantitatively estimating the drilling performance of the down-the-hole (DTH) hammer during percussive drilling of rock surfaces.

A pneumatic dynamic model of the DTH hammer was developed that considers the mass flow rate relations representing the orifice opening areas of the air tube, the piston, and bit flushing channels.

A drill bit motion model was developed to represent the dynamics of a drill bit impacted by a dropped piston and explain the impact stress propagation and rock-crushing mechanism.

The rock-crushing effect of the drill button bit was measured through a piston drop test.

The pneumatic hammer model and drill bit motion model were then combined in a prediction model to determine the impact efficiency according to different rock types (i.e., soft, medium-hard, and very hard).

The drilling efficiency was defined as the input value of the prediction model, which was used to simulate the drilling performance of DTH hammers considering the rock type and dynamic effect of the drill bit.

Finally, the simulation results were compared with the results of in situ drilling tests for verification.

American Psychological Association (APA)

Kim, Dae-Ji& Kim, Jaewon& Lee, Booyeong& Shin, Min-Seok& Oh, Joo-Young& Cho, Jung-Woo…[et al.]. 2020. Prediction Model of Drilling Performance for Percussive Rock Drilling Tool. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1124579

Modern Language Association (MLA)

Kim, Dae-Ji…[et al.]. Prediction Model of Drilling Performance for Percussive Rock Drilling Tool. Advances in Civil Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1124579

American Medical Association (AMA)

Kim, Dae-Ji& Kim, Jaewon& Lee, Booyeong& Shin, Min-Seok& Oh, Joo-Young& Cho, Jung-Woo…[et al.]. Prediction Model of Drilling Performance for Percussive Rock Drilling Tool. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1124579

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1124579