Mineral Resources EngineeringVol. 10, No. 04, pp. 427-434 (2001) Technical NotesNo AccessCUTTING EFFICIENCY THROUGH OPTIMISED BIT CONFIGURATION — AN EXPERIMENTAL STUDY USING A SIMULATED CONTINUOUS MINERV. B. ACHANTI and A. W. KHAIRV. B. ACHANTICap Gemini Ernst & Young, 10 Glenlake Parkway, Suite 1000, Atlanta, GA, USA Search for more papers by this author and A. W. KHAIRDepartment of Mining Engineering, West Virginia University, Morgantown, WV, USA Search for more papers by this author https://doi.org/10.1142/S0950609801000737Cited by:7 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractStudies related to cutting efficiency of a continuous miner in the past have indicated that the mining community has centered its attention on mastering two goals — minimising energy required to perform cutting operations and decreasing the amount of respirable dust generated during the cutting process. Unfortunately, these tasks have not been met successfully. There is a need to investigate bit design configuration in more depth in order to perform rock cutting efficiently. Essentially, a better understanding of the influence of several parameters, including both machine-controlled and operator-controlled, during the rock cutting process is required.In the study presented in this paper, four different bit geometry-related parameters were investigated to evaluate their effect on the cutting efficiency of a continuous miner. The parameters include: bit spacing, cutting depth, cutting drum rotational speed, and bit tip angle. The experimental study was conducted on an Automated Rotary Coal/Rock Cutting Simulator (ARCCS) in the Rock Mechanics Laboratories at the West Virginia University. An orthogonal fractional factorial experimental plan was utilised to carry out the experiments. Indiana limestone was used as the test material. The results of the study are compiled to represent a nomogram/graphical model, which is intended to assist cutting bit selection on a continuous miner. The model incorporates a normalised shear load factor, defined as a ratio of shear load component required for removing rock lands/ridges to shear strength of the rock, and specific respirable dust generated during rock cutting. Finally, the paper highlights the benefits of this model to the operators/owners of continuous miners in selecting optimum rock cutting parameters. FiguresReferencesRelatedDetailsCited By 7A Review of Selected Solutions on the Evaluation of Coal-Rock Cutting Performances of Shearer Picks under Complex Geological ConditionsLinlin Wang, Dekun Zhang, Dagang Wang and Cunao Feng2 December 2022 | Applied Sciences, Vol. 12, No. 23Comprehensive performance analysis of a shearer drum in a complicated seam based on discrete element methodLijuan Zhao, Meichen Zhang, Baisheng Shi, Xionghao Liu and Yadong Wang12 August 2021 | Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 236, No. 5Coal fragment size model in cutting processXiaohui Liu, Songyong Liu and Ping Tang1 Mar 2015 | Powder Technology, Vol. 272Simulation and Study of Random Loads on Continuous Miner Cutting DrumXiao Huo Li, Xin Wei Yu, Xiao Hong Ma and Ying Bo Zhao1 August 2011 | Advanced Materials Research, Vol. 308-310Establishing aerosol exposure predictive models based on vibration measurementsJhy-Charm Soo, Perng-Jy Tsai, Shih-Chuan Lee, Shih-Yi Lu and Cheng-Ping Chang et al.1 Jun 2010 | Journal of Hazardous Materials, Vol. 178, No. 1-3Establishing aerosol exposure predictive models based on noise measurements—using concrete drilling as an exampleJhy-Charm Soo, Perng-Jy Tsai, Ching-Hwa Chen, Der-Jen Hsu and Yu-Tung Dai et al.1 Jan 2009 | Journal of Environmental Monitoring, Vol. 11, No. 8Analysis of force variance for a continuous miner drum using the Design of Experiments methodS. Somanchi, V. J. Kecojevic and C. J. Bise1 Jun 2006 | International Journal of Mining, Reclamation and Environment, Vol. 20, No. 2 Recommended Vol. 10, No. 04 Metrics History PDF download
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