## 1 Introduction  
Rock cutting and drilling are common technological procedures of mechanical rock fragmentation during mining operations, using machines of different operational and constructional characteristics. The efficiency of mechanical rock fragmentation can be optimized by monitoring specific energy. Specific energy is the energy required to mechanically breakage a unit volume of rock [1]. Although the specific energy can vary significantly, it is a useful basis for comparison when other cutting parameters are constant [2]. Furthermore, the specific energy is one of the key quantities for evaluating the operational and constructional parameters of the machines. Machines for cutting and drilling rock have different operating and design characteristics, but breaking mechanics are similar. The specific cutting and specific drilling energy depends on similar parameters, such as rock mass parameters, machine efficiency and operational parameters, bit geometry, and wear. Therefore, it is logical to assume that there is a significant dependence between the specific cutting and the specific drilling energy. [PERSON] [3] used specific drilling energy, in combination with other drill operational parameters, to determine the type of rock through which it is drilled. [PERSON] [4] used specific drilling energy to optimize drill operating parameters and determine the relationship between specific drilling energy and bit conditions, i.e., certain rock properties. During extensive research work, [PERSON] and [PERSON] [5] observed an exponential decrease in drilling speed in the case of an increase in specific drilling energy. The interdependence of specific drilling energy and uniaxial compressive strength, abrasiveness and rock brittleness were determined. [PERSON] et al. [6] used specific cutting energy to determine the characteristics and efficiency of a roadheader. In addition, they found a strong relationship between optimal specific energy and uniaxial compressive and tensile strength of rocks. [PERSON] [7] states in her doctoral dissertation that specific drilling energy can be used in combination with other drilling operational parameters for machine learning of classifier to determine the type of rock through which drilling is performed. [PERSON] et al. found a good correlation between SE of a tunnel boring machine TBM and the rock mass rating RMR and the tunnelling quality index Q. This study presents a new spatial estimation model for continuous rock mass characterization based on the specific energy of a TBM [8]. [PERSON] et al. found a strong linear relationship between specific drilling energy and uniaxial compressive strength of rock UCS with a coefficient of determination of 92.1% [9]. All the above studies show that rock properties have a significant influence, with uniaxial compressive strength having the greatest influence on specific cutting and drilling energy. The geometry of cutting and drilling tools, such as cutting tool angle (fake angle, clearance angle, side angle), tool spacing, tool shape, and depth of cut, can have significant effects on the specific energy [10; 11; 12; 13]. [PERSON] and [PERSON] [14] concluded that the specific cutting energy can be used to determine the degree of wear of the diamond circular saw cutting elements. In addition, they noticed that the cutting speed is higher when the specific energy is lower and that increasing the depth of cut reduces the specific energy up to the limit cut depth, and further increasing the depth of cut slightly decreases or even increases the specific energy. Rate of penetration ROP and advance rate AR can be used to quantify the efficiency of a machine. It is suitable for estimating the mechanical parameters of the rock, while torque and rotation speed are not reliable for this estimation [15]. [PERSON] et al. [16] developed a model for predicting the advance rate of a tunnel boring machine in hard rock conditions. [PERSON] et al.