Differentiation of artificial rocks in mechanical cutting using acoustics emission (AE) towards selective mining

References

• European Commission, Raw materials scoreboard 2018, Publ Office Eur Union (2018), 118.
   Google Scholar
• J.J. Orteu, J.C. Catalina, and M. Devy, Perception for a roadheader in automatic selective cutting operation. International Conference on robotics and Automation, Nice, France, 1992, pp. 626–632.
   Google Scholar
• H. Kargl, M. Gimpel, and R. Gerer. Arrangement for detecting the load of a chisel of cutting machines, International Patents. (2011), WO 2011/116405 A3
   Google Scholar
• Y. Luo (2014). Highwall mining: Design methodology, safety and suitability. CERB Final Report No: 2014-004, pp. 34.
   Google Scholar
• H.J. Volk, Wirtgen drives the development of surface mining, Proc. Eng 138 (2016), pp. 30–39. doi:10.1016/j.proeng.2016.02.049.
   Google Scholar
• P. Cheluszka, Experimental identification of the dynamic load of conical picks during the cutting process of transverse cutting heads of boom–type roadheader, GEOLINKS 2019 (2019), pp. 167–175.
   Google Scholar
• T. Bartnitzki and T. Vraetz, Acoustic fingerprints of mechanical excavation machines (in German), Bergbau 1 (2018), pp. 25–29.
   Google Scholar
• S. Liu, P. Shi, Z. Wan, S. Lu, J. Lv, and F. Meng, Interrelationships between acoustic emission and cutting force in rock cutting, Geo?uids 2021 (2021), pp. 1–12. doi:10.1155/2021/6694532.
   Google Scholar
• B. JF (1992) Stratum boundary sensor for continuous excavators, US Patents, 5,092,657.
   Google Scholar
• B. Marston, J.G. Mazlin, and D.J. Mazlin (1997) Detecting a boundary between two layers of material, Int. Pat, WO 97/18466.
   Google Scholar
• M. Khoshouei and R. Bagherpour, Application of acoustic emission (AE) in mining and earth sciences: A review, Min. Geol. Petro. Eng. Bull 34 (4) (2019), pp. 19–32. doi:10.17794/rgn.2019.4.3.
   Google Scholar
• C.D. Martin and N.A. Chandler, The progressive fracture of Lac du Bonnet granite, Int. J. Rock Mech. Min. Sci 31 (6) (1994), pp. 643–659. doi:10.1016/0148-9062(94)90005-1.
   Web of Science ®Google Scholar
• S.J. Jung, K. Prisbrey, and G. Wu, Prediction of rock acoustic emission hardness signatures and drillability using during indentation, Int. J. Rock Mech. Min. Sci. Geomech. Ahstr 31 (5) (1994), pp. 561–567. doi:10.1016/0148-9062(94)90159-7.
   Web of Science ®Google Scholar
• M. Karakus and S. Perez, Acoustic emission analysis for rock–bit interactions in impregnated diamond core drilling, Int. J. Rock Mech. Min. Sci 68 (2014), pp. 36–43. doi:10.1016/j.ijrmms.2014.02.009.
   Web of Science ®Google Scholar
• S. Perez, M. Karakus, and E. Sepulveda, A preliminary study on the role of acoustic emission on inferring Cerchar abrasivity index of rocks using arti?cial neural network, Wear 344-345 (2015), pp. 1–8. doi:10.1016/j.wear.2015.10.006.
   Web of Science ®Google Scholar
• M. Karakus, S. Akdag, and T. Bruning. Rock fatigue damage assessment by acoustic emission, International Conference on Geomechanics. Geo-energy and Geo-resources, Melbourne, Australia, 2016, pp. 982–988.
   Google Scholar
• H.W. Shen, H. HR, and K. AW, Laboratory study of acoustic emission and particle size distribution during rotary cutting, Int. J. Rock Mech. Min. Sci 34 (1997), pp. 12.
   Google Scholar
• E. Williams and P. Hagan. Observations on the variation in acoustic emissions with changes in rock cutting conditions. 2006 Coal Operators’ Conference, University of Wollongong, 2006, pp. 93–103.
   Google Scholar
• D. Crosland, R. Mitra, and P. Hagan. Changes in acoustic emission when cutting different rock types. 2009 Coal Operators’ Conference, University of Wollongong, 2009, pp. 329–339.
   Google Scholar
• Q.B. Lin, P. Cao, K.H. Li, R.H. Cao, K.P. Zhou, and H.W. Deng, Experimental study on acoustic emission characteristics of jointed rock mass by double disc cutter, J. Cent. South Uni 25 (2018), pp. 357–367.
   Web of Science ®Google Scholar
• E. Clausen, T. Bartnitzki, and B. Späth, Transparent drilling process using acoustic emission technology (in German), Kolloquium Bohr- und Sprengtechnik (2019), pp. 149–161.
   Google Scholar
• H. Wang, S. Lu, M. Huang, and X. Zhao, Hardness identification of rock based on multi-sensor information fusion during the process of roadway tunnelling, Bull. Pol. Aca. Sci. Tech. Sci 68 (2020), pp. 1301–1309.
   Web of Science ®Google Scholar
• M. Mellor, Mechanics of cutting and boring Part IV: Dynamics and energetics of parallel motion tools, CRREL Report 77-7 (1977), pp. 96.
   Google Scholar
• V. Baranov, E. Kudryavtsev, G. Sarychev, and V. Schavelin, Acoustic Emission in Friction, Tribology and Interface Engineering Series, Elsevier, 2007.
   Google Scholar