Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications

S. Yagiz; A. Shaterpour-Mamaghani; A. Yazitova; K. Yermukhanbetov; E. Dogan; T. Erdogan; H. Copur

doi:10.1088/1755-1315/833/1/012129

Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications

S. Yagiz^*, A. Shaterpour-Mamaghani, A. Yazitova, K. Yermukhanbetov, E. Dogan, T. Erdogan, H. Copur

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Raise boring machines (RBMs) are commonly utilized for drilling of shaft and other inclined structures in mining and civil applications. This paper aim to introduce several empirical equations to estimate the performance and operational parameters of RBMs. For the aim, datasets having rock properties including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), brittleness (BI), rock quality designation (RQD), elastic modules (E) and Poisson ratio (v); and also RBMs operational parameters including Instantaneous penetration rate (IPR), Specific Energy (SE), Pushing Force (Fpush), reamerhead power (Pw) and rotational speed (RPM), were established from published case studies. After that, re-established dataset was utilized to develop multiple regression models to predict the performance and operational parameters of RBM. It is found that IPR, SE, Fpush, Pw and RPM could be estimated using several alternative rock properties with coefficients of determination ranging from 0.77 to 0.95. Based on utilized dataset, it is also concluded that RQD and BI are the most common rock properties for estimating the performance and operational parameters of RBMs.

Original language	English
Article number	012129
Journal	IOP Conference Series: Earth and Environmental Science
Volume	833
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/833/1/012129
Publication status	Published - 6 Sept 2021
Event	EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice - Turin, Virtual, Italy Duration: 20 Sept 2021 → 25 Sept 2021

Bibliographical note

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

Funding

This study was supported by the Faculty Development Nazarbayev University, Grant No: 021220FD5151.

Funders	Funder number
Faculty Development Nazarbayev University	021220FD5151

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10.1088/1755-1315/833/1/012129

Cite this

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title = "Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications",

abstract = "Raise boring machines (RBMs) are commonly utilized for drilling of shaft and other inclined structures in mining and civil applications. This paper aim to introduce several empirical equations to estimate the performance and operational parameters of RBMs. For the aim, datasets having rock properties including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), brittleness (BI), rock quality designation (RQD), elastic modules (E) and Poisson ratio (v); and also RBMs operational parameters including Instantaneous penetration rate (IPR), Specific Energy (SE), Pushing Force (Fpush), reamerhead power (Pw) and rotational speed (RPM), were established from published case studies. After that, re-established dataset was utilized to develop multiple regression models to predict the performance and operational parameters of RBM. It is found that IPR, SE, Fpush, Pw and RPM could be estimated using several alternative rock properties with coefficients of determination ranging from 0.77 to 0.95. Based on utilized dataset, it is also concluded that RQD and BI are the most common rock properties for estimating the performance and operational parameters of RBMs.",

author = "S. Yagiz and A. Shaterpour-Mamaghani and A. Yazitova and K. Yermukhanbetov and E. Dogan and T. Erdogan and H. Copur",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice ; Conference date: 20-09-2021 Through 25-09-2021",

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AU - Yagiz, S.

AU - Shaterpour-Mamaghani, A.

AU - Yazitova, A.

AU - Yermukhanbetov, K.

AU - Dogan, E.

AU - Erdogan, T.

AU - Copur, H.

PY - 2021/9/6

Y1 - 2021/9/6

N2 - Raise boring machines (RBMs) are commonly utilized for drilling of shaft and other inclined structures in mining and civil applications. This paper aim to introduce several empirical equations to estimate the performance and operational parameters of RBMs. For the aim, datasets having rock properties including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), brittleness (BI), rock quality designation (RQD), elastic modules (E) and Poisson ratio (v); and also RBMs operational parameters including Instantaneous penetration rate (IPR), Specific Energy (SE), Pushing Force (Fpush), reamerhead power (Pw) and rotational speed (RPM), were established from published case studies. After that, re-established dataset was utilized to develop multiple regression models to predict the performance and operational parameters of RBM. It is found that IPR, SE, Fpush, Pw and RPM could be estimated using several alternative rock properties with coefficients of determination ranging from 0.77 to 0.95. Based on utilized dataset, it is also concluded that RQD and BI are the most common rock properties for estimating the performance and operational parameters of RBMs.

AB - Raise boring machines (RBMs) are commonly utilized for drilling of shaft and other inclined structures in mining and civil applications. This paper aim to introduce several empirical equations to estimate the performance and operational parameters of RBMs. For the aim, datasets having rock properties including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), brittleness (BI), rock quality designation (RQD), elastic modules (E) and Poisson ratio (v); and also RBMs operational parameters including Instantaneous penetration rate (IPR), Specific Energy (SE), Pushing Force (Fpush), reamerhead power (Pw) and rotational speed (RPM), were established from published case studies. After that, re-established dataset was utilized to develop multiple regression models to predict the performance and operational parameters of RBM. It is found that IPR, SE, Fpush, Pw and RPM could be estimated using several alternative rock properties with coefficients of determination ranging from 0.77 to 0.95. Based on utilized dataset, it is also concluded that RQD and BI are the most common rock properties for estimating the performance and operational parameters of RBMs.

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DO - 10.1088/1755-1315/833/1/012129

M3 - Conference article

AN - SCOPUS:85115155337

SN - 1755-1307

VL - 833

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

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T2 - EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice

Y2 - 20 September 2021 through 25 September 2021

ER -

Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications

Abstract

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