Evaluation of excavator energy consumption and overburden cutting resistance using multiple linear regression

In present paper the energy consumption of the excavator and overburden linear cutting resistance by invoking the multiple linear regression was examined. As a result, the corresponding models as nonlinear functions of physical and mechanical overburden properties: grain size, unit weight, cohesion, and friction angle, were proposed. The analysis was based on records made at ''Tamnava Eastern Field'' mine for the bucket-wheel excavator with new excavation teeth. The obtained results indicated that excavator energy consumption significantly depended on the grain size and cohesion, as individual factors, while the effect of two-factor interactions was particularly significant: clay percentage with cohesion and small grained sand fraction, and friction angle with medium grained sand and cohesion. On the other hand, linear cutting resistance of the overburden was largely controlled by all the examined physical and mechanical properties (grain size, unit weight, and shear strength), with the following significant two-factors interactions: shear strength parameters with all grain size fractions, different grain size fractions among each other, and friction angle with unit weight.