Effects of Different Cutting Patterns and Experimental Conditions on the Performance of a Conical Drag Tool


Çopur H. , BILGIN N., Balcı C. , Tumaç D. , Avunduk E.

ROCK MECHANICS AND ROCK ENGINEERING, cilt.50, ss.1585-1609, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 50 Konu: 6
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s00603-017-1172-8
  • Dergi Adı: ROCK MECHANICS AND ROCK ENGINEERING
  • Sayfa Sayıları: ss.1585-1609

Özet

This study aims at determining the effects of single-, double-, and triple-spiral cutting patterns; the effects of tool cutting speeds on the experimental scale; and the effects of the method of yield estimation on cutting performance by performing a set of full-scale linear cutting tests with a conical cutting tool. The average and maximum normal, cutting and side forces; specific energy; yield; and coarseness index are measured and compared in each cutting pattern at a 25-mm line spacing, at varying depths of cut per revolution, and using two cutting speeds on five different rock samples. The results indicate that the optimum specific energy decreases by approximately 25% with an increasing number of spirals from the single- to the double-spiral cutting pattern for the hard rocks, whereas generally little effect was observed for the soft- and medium-strength rocks. The double-spiral cutting pattern appeared to be more effective than the single- or triple-spiral cutting pattern and had an advantage of lower side forces. The tool cutting speed had no apparent effect on the cutting performance. The estimation of the specific energy by the yield based on the theoretical swept area was not significantly different from that estimated by the yield based on the muck weighing, especially for the double- and triple-spiral cutting patterns and with the optimum ratio of line spacing to depth of cut per revolution. This study also demonstrated that the cutterhead and mechanical miner designs, semi-theoretical deterministic computer simulations and empirical performance predictions and optimization models should be based on realistic experimental simulations. Studies should be continued to obtain more reliable results by creating a larger database of laboratory tests and field performance records for mechanical miners using drag tools.