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Predicting the Performance of Chain Saw Machines Based on Shore Scleroscope Hardness

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Abstract

Shore hardness has been used to estimate several physical and mechanical properties of rocks over the last few decades. However, the number of researches correlating Shore hardness with rock cutting performance is quite limited. Also, rather limited researches have been carried out on predicting the performance of chain saw machines. This study differs from the previous investigations in the way that Shore hardness values (SH1, SH2, and deformation coefficient) are used to determine the field performance of chain saw machines. The measured Shore hardness values are correlated with the physical and mechanical properties of natural stone samples, cutting parameters (normal force, cutting force, and specific energy) obtained from linear cutting tests in unrelieved cutting mode, and areal net cutting rate of chain saw machines. Two empirical models developed previously are improved for the prediction of the areal net cutting rate of chain saw machines. The first model is based on a revised chain saw penetration index, which uses SH1, machine weight, and useful arm cutting depth as predictors. The second model is based on the power consumed for only cutting the stone, arm thickness, and specific energy as a function of the deformation coefficient. While cutting force has a strong relationship with Shore hardness values, the normal force has a weak or moderate correlation. Uniaxial compressive strength, Cerchar abrasivity index, and density can also be predicted by Shore hardness values.

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Acknowledgments

The author is a member of the Project 105M017 carried out for the Scientific and Technological Research Council of Turkey (TUBITAK). He is grateful to the other project members, Prof. Dr. Hanifi Copur, Prof. Dr. Nuh Bilgin, and Assoc. Prof. Dr. Cemal Balci. The author would like to thank to Res. Assist. Eng. Emre Avunduk for helping with the laboratory experiments.

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  1. Mining Engineering Department, Istanbul Technical University, 34469, Maslak, Istanbul, Turkey

    Deniz Tumac

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Tumac, D. Predicting the Performance of Chain Saw Machines Based on Shore Scleroscope Hardness. Rock Mech Rock Eng 47, 703–715 (2014). https://doi.org/10.1007/s00603-013-0416-5

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