TY - JOUR
T1 - Empirical Models for Estimating Performance and Operational Parameters of Raise Boring Machine in Mining Applications
AU - Yagiz, S.
AU - Shaterpour-Mamaghani, A.
AU - Yazitova, A.
AU - Yermukhanbetov, K.
AU - Dogan, E.
AU - Erdogan, T.
AU - Copur, H.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
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.
UR - http://www.scopus.com/inward/record.url?scp=85115155337&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/833/1/012129
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
IS - 1
M1 - 012129
T2 - EUROCK 2021 Conference on Rock Mechanics and Rock Engineering from Theory to Practice
Y2 - 20 September 2021 through 25 September 2021
ER -