Applied Genetic Programming for Predicting Specific Cutting Energy for Cutting Natural Stones

References

• Aydin, G., I. Karakurt, and C. Hamzacebi. 2015. Performance prediction of diamond sawblades using artificial neural network and regression analysis. Arabian Journal for Science and Engineering 40:2003–12.
   Web of Science ®Google Scholar
• Aydin, G., I. Karakurt, and K. Aydiner. 2013. Development of Predictive Models for the Specific Energy of Circular Diamond Sawblades in the Sawing of Granitic Rocks. Rock mechanics and rock engineering 46:767–83.
   Web of Science ®Google Scholar
• Brown, E. T. 1981. Rock characterization, testing & monitoring. ISRM suggest methods, New York: Pergamon Press.
   Google Scholar
• Buyuksagis, I. S. 2007. Effect of cutting mode on the sawability of granites using segmented circular diamond sawblade. Journal of Materials Processing Technology 183:399–406. doi:10.1016/j.jmatprotec.2006.10.034.
   Web of Science ®Google Scholar
• Buyuksagis, I. S., and R. M. Goktan. 2005. Investigation of marble machining performance using an instrumented block-cutter. Journal of Materials Processing Technology 169:258–62. doi:10.1016/j.jmatprotec.2005.03.014.
   Web of Science ®Google Scholar
• Cevik, A. 2007. A new formulation for longitudinally stiffened webs subjected to patch loading. Journal of Constructional Steel Research 63:1328–40. doi:10.1016/j.jcsr.2006.12.004.
   Web of Science ®Google Scholar
• Ersoy, A., and U. Atici. 2004. Performance characteristics of circular diamond saws in cutting different types of rocks. Diamond and Related Materials 13:22–37. doi:10.1016/j.diamond.2003.08.016.
   Web of Science ®Google Scholar
• Ersoy, A., and U. Atici. 2005. Specific energy prediction for circular diamond saw in cutting different types of rocks using multivariable linear regression analysis. Journal of Mining Science 41:240–60. doi:10.1007/s10913-005-0089-x.
   Web of Science ®Google Scholar
• Ersoy, A., and U. Atici. 2007. Correlation of P and S-waves with cutting specific energy and dominant properties of volcanic and carbonate rocks. Rock Mechanics and Rock Engineering 40:491–504. doi:10.1007/s00603-006-0111-x.
   Web of Science ®Google Scholar
• Fener, M., S. Kahraman, and M. O. Ozder. 2007. Performance prediction of circular diamond saws from mechanical rock properties in cutting carbonate rocks. Rock Mechanics and Rock Engineering 40:505–17. doi:10.1007/s00603-006-0110-y.
   Web of Science ®Google Scholar
• Ferreira, C. 2001. Gene expression programming: A new adaptive algorithm for solving problems. Complex Systems 13:87–129.
   Google Scholar
• Ferreira, C. 2006. Gene-expression programming; mathematical modeling by an artificial intelligence. Heidelberg: Springer.
   Google Scholar
• Kahraman, S., H. Altun, B. S. Tezekici, and M. Fener. 2006. Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks. International Journal of Rock Mechanics and Mining Sciences 43:157–64. doi:10.1016/j.ijrmms.2005.04.007.
   Web of Science ®Google Scholar
• Kahraman, S., M. Fener, and O. Gunaydin. 2004. Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis. International Journal of Rock Mechanics and Mining Sciences 41:1123–31. doi:10.1016/j.ijrmms.2004.04.009.
   Web of Science ®Google Scholar
• Kayadelen, C. 2011. Soil liquefaction modeling by genetic expression programming and neuro-fuzzy. Expert Systems with Applications 38:4080–87. doi:10.1016/j.eswa.2010.09.071.
   Web of Science ®Google Scholar
• Luo, S. Y., and Y. S. Liao. 1995. Study of the behaviour of diamond saw-blades in stone processing. Journal of Materials Processing Technology 51:296–308. doi:10.1016/0924-0136(94)01603-X.
   Web of Science ®Google Scholar
• Mikaeil, R., A. Mohammad and Y. Reza. 2011. Evaluating the Power Consumption in Carbonate Rock Sawing Process by Using FDAHP and TOPSIS Techniques, Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains, ed., Prof. Chiang Jao, ISBN: 978-953-307-441-2, InTech.
   Google Scholar
• Mikaeil, R., Y. Ozcelik, R. Yousefi, M. Ataei, and S. M. Hosseini. 2013. Ranking the sawability of ornamental stone using Fuzzy Delphi and multi-criteria decision-making techniques. International Journal of Rock Mechanics and Mining Sciences 58:118–26. doi:10.1016/j.ijrmms.2012.09.002.
   Web of Science ®Google Scholar
• Sengun, N. 2009. The effects of fracture toughness and brittleness of rocks on sawing efficiency with circular discs. Ph.D. thesis, Süleyman Demirel University, Isparta, Turkey.
   Google Scholar
• Sengun, N., and R. Altindag. 2013. Prediction of specific energy of carbonate rock in industrial stones cutting process. Arabian Journal of Geosciences 6:1183–90. doi:10.1007/s12517-011-0429-x.
   Web of Science ®Google Scholar
• Theodoridou, M., F. Dagrain, and I. Ioannou. 2015. Micro-destructive cutting techniques for the characterization of natural limestone. International Journal of Rock Mechanics and Mining Sciences 76:98–103. doi:10.1016/j.ijrmms.2015.02.012.
   Web of Science ®Google Scholar
• Turchetta, S., W. Polini, and I. S. Buyuksagis. 2009. Investigation on stone machining performance using force and specific energy. Advances in Mechanical Engineering 1:1–8. doi:10.1155/2009/175817.
   Web of Science ®Google Scholar
• Tutmez, B., S. Kahraman, and O. Gunaydin. 2007. Multifactorial fuzzy approach to the sawability classification of building stones. Construction and Building Materials 21:1672–79. doi:10.1016/j.conbuildmat.2006.05.023.
   Web of Science ®Google Scholar
• Ucun, I., K. Aslantas, I. S. Buyuksagis, and S. Tasgetiren. 2012. Determination of specific energy in cutting process using diamond saw blade of natural stone. Energy Education Science and Technology Part A-Energy Science and Research 28:641–48.
   Google Scholar
• Velchev, S., I. Kolev, K. Ivanov, and S. Gechevski. 2014. Empirical models for specific energy consumption and optimization of cutting parameters for minimizing energy consumption during turning. Journal of Cleaner Production 80:139–49. doi:10.1016/j.jclepro.2014.05.099.
   Web of Science ®Google Scholar
• Wright, D. N., and V. B. Cassapi. 1985. Factors influencing stone sawability. Industrial Diamond Review 45:84–87.
   Google Scholar
• Wright, D. N., and M. Jennings. 1989. Guidelines for sawing stone. Industrial Diamond Review 2:70–75.
   Google Scholar
• Yurdakul, M. 2015. Effect of cutting parameters on consumed power in industrial granite cutting processes performed with the multi-disc block cutter. International Journal of Rock Mechanics and Mining Sciences 76:104–11. doi:10.1016/j.ijrmms.2015.03.008.
   Web of Science ®Google Scholar
• Yurdakul, M., and H. Akdas. 2012. Prediction of specific cutting energy for large diameter circular saws during natural stone cutting. International Journal of Rock Mechanics and Mining Sciences 53:38–44. doi:10.1016/j.ijrmms.2012.03.008.
   Web of Science ®Google Scholar
• Yurdakul, M., and H. Akdas. 2014. Analysis of the industrial cutting process of natural building stones: evaluation of electric power consumption. Journal of Testing and Evaluation 42:931–41. doi:10.1520/JTE20130146.
   Web of Science ®Google Scholar