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

Istanbul Technical University
Nazarbayev University
Eczacibasi Esan
Sargin Construction and Machinery Industry Trade Inc.

Research output: Contribution to conference › Paper › peer-review

2 Citations (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
DOIs	https://doi.org/10.1088/1755-1315/833/1/012129
Publication status	Published - Sept 6 2021
Event	EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice - Turin, Virtual, Italy Duration: Sept 20 2021 → Sept 25 2021

Conference

Conference	EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice
Country/Territory	Italy
City	Turin, Virtual
Period	9/20/21 → 9/25/21

Funding

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

ASJC Scopus subject areas

General Environmental Science
General Earth and Planetary Sciences

Access to Document

10.1088/1755-1315/833/1/012129

Cite this

Yagiz, S., Shaterpour-Mamaghani, A., Yazitova, A., Yermukhanbetov, K., Dogan, E., Erdogan, T., & Copur, H. (2021). Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications. Paper presented at EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice, Turin, Virtual, Italy. https://doi.org/10.1088/1755-1315/833/1/012129

Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications. / Yagiz, S.; Shaterpour-Mamaghani, A.; Yazitova, A. et al.
2021. Paper presented at EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice, Turin, Virtual, Italy.

Research output: Contribution to conference › Paper › peer-review

Yagiz, S, Shaterpour-Mamaghani, A, Yazitova, A, Yermukhanbetov, K, Dogan, E, Erdogan, T & Copur, H 2021, 'Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications', Paper presented at EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice, Turin, Virtual, Italy, 9/20/21 - 9/25/21. https://doi.org/10.1088/1755-1315/833/1/012129

Yagiz S, Shaterpour-Mamaghani A, Yazitova A, Yermukhanbetov K, Dogan E, Erdogan T et al.. Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications. 2021. Paper presented at EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice, Turin, Virtual, Italy. doi: 10.1088/1755-1315/833/1/012129

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AU - Dogan, E.

AU - Erdogan, T.

AU - Copur, H.

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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.

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

Abstract

Conference

Funding

UN SDGs

ASJC Scopus subject areas

Access to Document

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