Prediction of Hardgrove Grindability Index of Afsin-Elbistan (Turkey) Low-grade Coals Based on Proximate Analysis and Ash Chemical Composition by Neural Networks

References

• Altiner, M. 2011. Effect of drying on grinding characteristic of Afsin-Elbistan lignite. Mining Engineering Dept., Cukurova University., Adana/Turkey
   Google Scholar
• Altiner, M., M. Yildirim, and H. Vapur. 2012. Effects of microwave and conventional drying methods on grinding characteristics of Afsin-Elbistan Lignite. Proceedings of XIIIth International Mineral Processing Symposium, Bodrum, Turkey.
   Google Scholar
• ASTM-D3174. 2011. Standard test method for ash in the analysis sample of coal and coke from coal. West Conshohocken, PA, USA: ASTM International.
   Google Scholar
• ASTM-D3302/D. 2010. Standard test method for total moisture in coal. West Conshohocken, PA, USA: ASTM International.
   Google Scholar
• ASTM-D409. 1950. Standard method of test for grindability of coal by the Hardgrove-machine method. West Conshohocken, PA, USA: ASTM International.
   Google Scholar
• ASTM-D5865. 2011. Standard test method for gross calorific value of coal and coke. West Conshohocken, PA, USA: ASTM International.
   Google Scholar
• Azahari, H. L. 1990. The effect of moisture on the grindability of Indonesian coals. PhD Thesis, Department of Materials Engineering, University of Wollongong. pp. 88.
   Google Scholar
• Barton, W. A., D. J. Condie, and L. J. Lynch. 1994. Coal grindibility relationship with coal composition and structure. Proceedings of the 6th Australian Coal Science Conference, Australia: Australian Institute of Energy, Newcastle. pp. 55–64.
   Google Scholar
• Chelgani, S. C., J. C. Hower, E. Jorjani, S. Mesroghli, and A. H. Bagherieh. 2008. Prediction of coal grindability based on petrography, proximate and ultimate analysis using multiple regression and artificial neural network models. Fuel Processing Technology 89:13–20. doi:10.1016/j.fuproc.2007.06.004.
   Web of Science ®Google Scholar
• Cicioglu, E. 2001. Çöllolar-Kışlaköy (Afşin-Elbistan) linyitlerinin jeokimyasal özelliklerinin incelenmesi. Geological Engineering, Hacettepe University, Ankara/Turkey.
   Google Scholar
• Cigizoglu, H. K. 2005. Generalized regression neural network in monthly flow forecasting. Civil Engineering and Environmental Systems 22:71–81. doi:10.1080/10286600500126256.
   Web of Science ®Google Scholar
• Dayhoff, J. E., and J. M. DeLeo. 2001. Artificial neural networks. Cancer 91:1615–35.
   PubMed Web of Science ®Google Scholar
• Dindarloo, S., J. C. Hower, A. Bagherieh, and A. S. Trimble. 2016. Fundamental evaluation of petrographic effects on coal grindability by seasonal autoregressive integrated moving average (SARIMA). International Journal of Mineral Processing 154:94–99. doi:10.1016/j.minpro.2016.07.005.
   Web of Science ®Google Scholar
• EGCT, Electricity Generation Company of Turkish Republic. 2014. Annual Report.
   Google Scholar
• Elman, J. L. 1990. Finding structure in time. Cognitive Science 14:179–211. doi:10.1207/s15516709cog1402_1.
   Web of Science ®Google Scholar
• Freedman, D. A. 2009. Statistical models: Theory and practice. Berkeley: Cambridge University Press.
   Google Scholar
• Hill, T., L. Marquez, M. O’Connor, and W. Remus. 1994. Artificial neural network models for forecasting and decision making. International Journal of Forecasting 10:5–15. doi:10.1016/0169-2070(94)90045-0.
   Web of Science ®Google Scholar
• Hower, J. C. 1998. Interrelationship of coal grinding properties and coal petrology. Miner Metall Processing 15:1–16.
   Web of Science ®Google Scholar
• Hower, J. C. 2006. Discussion: Li. et al., Prediction of grindability with multivariable regression and neural network in Chinese coal. Fuel 85:1307–08. doi:10.1016/j.fuel.2005.11.011.
   Web of Science ®Google Scholar
• Hower, J. C., A. M. Graese, and J. G. Klapheke. 1987. Influence of microlithotype composition on Hardgrove grindability index for selected Kentucky coals. International Journal of Coal Geology 7:227–44. doi:10.1016/0166-5162(87)90038-3.
   Web of Science ®Google Scholar
• Hower, J. C., and G. T. Lineberry. 1988. The interface of coal lithology and coal cutting: Study of breakage characteristics of selected Kentucky coals. Journal of Coal Quality 7:88–95.
   Google Scholar
• Hower, J. C., and G. D. Wild. 1988. Relationship between Hardgrove grindability index and petrographic composition for high volatile bituminous coals from Kentucky. Journal of Coal Quality 7:122–26.
   Google Scholar
• Jorjani, E., J. C. Hower, S. Chehreh Chelgani, M. A. Shirazi, and S. Mesroghli. 2008. Studies of relationship between petrography and elemental analysis with grindability for Kentucky coals. Fuel 87:707–13. doi:10.1016/j.fuel.2007.05.044.
   Web of Science ®Google Scholar
• Lytle, J., N. Choi, and K. Prisbrey. 1992. Influence of preheating on grindability of coal. International Journal of Mineral Processing 36:107–12. doi:10.1016/0301-7516(92)90067-7.
   Web of Science ®Google Scholar
• Mackowsky, M.-T., and C. Abramski. 1943. Kohlenpetrographische Untersuchengsmethoden und ihre praktische Anwendung. Feuerungstechnik 31:49–64.
   Google Scholar
• Matin, S. S., J. C. Hower, L. Farahzadi, and S. C. Chelgani. 2016. Explaining relationships among various coal analyses with coal grindability index by Random Forest. International Journal of Mineral Processing 155:140–46. doi:10.1016/j.minpro.2016.08.015.
   Web of Science ®Google Scholar
• Medsker, L., and L. Jain. 2001. Recurrent neural networks. Design and Applications, CRC Press., London, United Kingdom.
   Google Scholar
• Montgomery, D. C., and G. C. Runger. 2003. Applied statistics and probability for engineers. In Applied statistics and probability for engineers. John Wiley & Sons, United States of America.
   Google Scholar
• Özbayoğlu, G., A. M. Özbayoğlu, and M. E. Özbayoğlu. 2008. Estimation of Hardgrove grindability index of Turkish coals by neural networks. International Journal of Mineral Processing 85:93–100. doi:10.1016/j.minpro.2007.08.003.
   Web of Science ®Google Scholar
• Peisheng, L., X. Youhui, Y. Dunxi, and S. Xuexin. 2005. Prediction of grindability with multivariable regression and neural network in Chinese coal. Fuel 84:2384–88. doi:10.1016/j.fuel.2005.04.016.
   Web of Science ®Google Scholar
• Peters, T. J., N. Schapiro, and R. J. Gray. 1962. Know your coal. Transactions American Institute of Mining and Metallurgical Engineers 223:1–6.
   Google Scholar
• Sengupta, A. N. 2002. An assessment of grindability index of coal. Fuel Processing Technology 76:1–10. doi:10.1016/S0378-3820(01)00236-3.
   Web of Science ®Google Scholar
• Shahzad, K., S. Kanwal, S. Nawaz, N. Sheikh, and S. Munir. 2014. Effects of moisture and coal blending on the Hardgrove grindability index of Pakistani coals. International Journal of Coal Preparation and Utilization 34:1–9. doi:10.1080/19392699.2013.776961.
   Web of Science ®Google Scholar
• Specht, D. F. 1991. A general regression neural network. IEEE Transactions on Neural Networks 2:568–76. doi:10.1109/72.97934.
   PubMed Web of Science ®Google Scholar
• Standish, N., A. B. Yu, and H. L. Azahari. 1993. Grindability of Indonesian coals. XVIII International Mineral Processing Congress Publications of the Australasian Institute of Mining and Metallurgy. pp. 1347–56, Australia.
   Google Scholar
• Ural, S., and M. Akyıldız. 2004. Studies of the relationship between mineral matter and grinding properties for low-rank coals. International Journal of Coal Geology 60:81–84. doi:10.1016/j.coal.2004.07.001.
   Web of Science ®Google Scholar
• Vuthaluru, H. B., R. J. Brooke, D. K. Zhang, and H. M. Yan. 2003. Effects of moisture and coal blending on Hardgrove grindability index of Western Australian coal. Fuel Processing Technology 81:67–76. doi:10.1016/S0378-3820(03)00044-4.
   Web of Science ®Google Scholar
• Vuthaluru, H. B., H. M. Yan, D. K. Zhang, and J. Brooke. 1993. Investigations into the effects of moisture loss and coal blending on Hardgrove grindability index (HGI). 9th Australian Coal Science Conference: Solutions for Industry, Brisbane, Qld. (Australia).
   Google Scholar
• Xuexin, S. 2001. Combustion experiment technology and method for coal fired furnace. China Electricity and Power Press, Beijing.
   Google Scholar
• Zhu, J.-F., J.-Z. Liu, J.-H. Wu, J. Cheng, Z.-H. Wang, J.-H. Zhou, and K.-F. Cen. 2015. Effects of different drying methods on the grinding characteristics of Ximeng lignite. Fuel 162:305–12. doi:10.1016/j.fuel.2015.09.028.
   Web of Science ®Google Scholar