Estimating specific energy from the brittleness indexes in cutting metallic ores

Abstract

Specific energy (SE) is an important parameter in mechanical rock excavation. It can be simply used for predicting the performance of roadheaders (Rostami, Ozdemir, and Neil, 1994). However, obtaining the SE from smallscale or full-scale cutting tests is very difficult and expensive. For this reason, some researchers have investigated the relationships between SE and rock properties and suggested empirical equations for the estimation of SE. McFeat-Smith and Fowell (1979) carried out experimental studies for correlating the SE obtained by small-scale cutting tests with some rock properties such as cone indenter index, cementation coefficient, Schmidt hammer rebound value, and compressive strength. They stated that the cone indenter test consistently proved to be the best predictor for SE. Copur et al. (2001) correlated the SE with the UCS and BTS for some rock and ore types. They found good correlation between SE and both UCS and BTS. They also showed that the relation between SE and the product of UCS and BTS has a better correlation coefficient than that of the relations between SE and both UCS and BTS. Balci et al. (2004) tested 23 different rock and ore types and investigated the predictability of SE from physical and mechanical properties. They found good or very good correlations between the SE and rock properties such as UCS, Brazilian tensile strength, static and dynamic elastic moduli, and the Schmidt hammer value. Tiryaki and Dikmen (2006) carried out mineralogical and petrographic analyses, rock mechanics, and linear rock cutting tests on sandstones. They investigated the relations between SE and rock properties using regression analysis. They showed that the texture coefficient and feldspar content of sandstones affected rock cuttability, evidenced by significant correlations between these parameters and SE. However, the felsic and mafic mineral contents of sandstones exhibited no significant correlation with SE. On the other hand, cementation coefficient, effective porosity, and pore volume indicated good correlations with SE. Poisson's ratio, Brazilian tensile strength, Shore scleroscope hardness, Schmidt hammer hardness, dry density, and point load strength index showed very strong linear correlations with SE. Tumac et al. (2007) investigated the predictability of rock cuttability from Shore hardness and compressive strength. They showed that there was a relation between Shore hardness values, optimum specific energy, and compressive strength.Estimating specific energy from the brittleness indexes in cutting metallic ores by R. Comakli*, S, Kahraman † , C. Balci ‡ , and D. Tumac ‡ Specific energy (SE) is a very useful parameter for assessing rock excavation by machine. Predicting the SE from the brittleness will be practical, especially for preliminary studies, due to the fact that determining the SE from cutting tests is difficult and expensive. In this study, the predictability of the SE from different brittleness concepts was investigated for metallic ores such as chromite, haematite, galena, a...

Alçıtaşı üretiminde delme – patlatma yöntemi yerine mekanize kazı yönteminin kullanılabilirliğinin araştırılması

“…Başka bir çalışmada Niğde ve Kayseri bölgesindeki farklı metalik cevherlerin kazısında kollu galeri açma makinesinin kullanılabilirliği araştırılmıştır [26]. Bu çalışmada küçük boyutlu kazı deney seti kullanılarak yardımsız kaya kesme deneyleri yapılmış ve spesifik enerji değerleri belirlenmiştir.…”

“…Farklı araştırmacılar tarafından maden kazılarında, özellikle daha az sürede daha fazla üretime imkân tanımasından dolayı, delme -patlatma yöntemi yerine mekanik kazıcıların kullanılabilirliği araştırılmıştır [24][25][26]. Günümüzde özellikle yeraltı üretim yöntemi uygulanan birçok işletmede mekanik kazıcılar kullanılmakla birlikte özellikle endüstriyel hammadde veya agrega üretimi yapılan açık ocaklarda mekanik kazıcılar çok fazla kullanılmamaktadır.…”

A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China

“…Brittleness refers to frame with minimal deformation, which refers to the deformation that an object can stand without losing its load bearing capacity. Currently available rock brittleness evaluation methods include the following four main categories: (1) Rock brittleness evaluation method based on mineral content [5,6]; (2) Rock brittleness evaluation method based on logging data [6,7]; (3) Rock brittleness evaluation method based on strength parameters [8][9][10][11]; (4) Rock brittleness evaluation method based on strain [12][13][14][15]. Due to the lake of specific evaluation indicators and measurement methods in rock mechanics, scholars in different fields have proposed different definitions and calculation methods based on different evaluation objectives [16][17][18][19].…”

Fractured Tight Glutenite Reservoir Pore Structure Characterization and Deliverability Prediction Based on Geophysical Well Logging

“…These two parameters were inversely proportional. Investigation that focused on BI prediction was deeply, and it was commonly used to characterize fracturablity and reservoir quality (Jarvie et al 2007;Rickman et al 2008;Hucka and Das, 1974;Altindag, 2003;Dubey et al 2019;Wood, 2022;Ye et al 2022). Generally, BI was associated with lithology, rock mechanics and pore structure.…”