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How to cite this paper
APA: Ramezani, M. (2015). Surface roughness prediction of particulate composites using artificial neural networks in turning operation. Decision Science Letters, 4(3), 419-424.
Chicago/Turabian: Ramezani, M. 2015. "Surface roughness prediction of particulate composites using artificial neural networks in turning operation." Decision Science Letters 4, no. 3 (2015): 419-424.
AMA: Ramezani, M. Surface roughness prediction of particulate composites using artificial neural networks in turning operation. Decision Science Letters. 2015;4(3):419-424.
References
Aleksander, I., & Morton, H. (1995). An introduction to neural computing. London: International Thomson Computer Press.
Childs, T. (2000). Metal machining: Theory and applications. London: Arnold.
Davalo, E., & Nai?m, P. (1991). Neural networks. London: Macmillan.
Demuth, H., & Beale, M. (2000). Matlab Neural Network Toolbox User & apos; s Guide.
Ezugwu, E. O., Arthur, S. J., & Hines, E. L. (1995). Tool-wear prediction using artificial neural networks. Journal of materials Processing technology, 49(3), 255-264.
Groover, M. P. (2002). Solutions manual: fundamentals of modern manufacturing. Wiley.
Jafarian, F., Taghipour, M., & Amirabadi, H. (2013). Application of artificial neural network and optimization algorithms for optimizing surface roughness, tool life and cutting forces in turning operation. Journal of Mechanical Science and Technology, 27(5), 1469-1477.
?zel, T., Karpat, Y., Figueira, L., & Davim, J. P. (2007). Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts. Journal of Materials Processing Technology, 189(1), 192-198.
Ramezani, M., & Afsari, A., (2015). Surface roughness and cutting force estimation in the CNC turning using artificial neural networks. Management Science Letters. Vol. 5, Issue 4. 357-362.
Rao, C. P., & Bhagyashekar, M. S. (2014). Effect of machining parameters on the surface roughness while turning particulate composites. Procedia Engineering, 97, 421-431.
Reddy, V. D., Krishnaiah, G. A., Kumar, H., & Priya, S. K. (Dec., 2011). ANN Based Prediction of Surface Roughness in Turning, International Conference on Trends in Mechanical and Industrial Engineering (ICTMIE & apos; 2011) Bangkok
Sharma, V. S., Dhiman, S., Sehgal, R., & Sharma, S. K. (2008). Estimation of cutting forces and surface roughness for hard turning using neural networks. Journal of Intelligent Manufacturing, 19, 473-483.
Surappa, M. K. (2003). Aluminium matrix composites: Challenges and opportunities. Sadhana, 28(1-2), 319-334.
Pal, S. K., & Chakraborty, D. (2005). Surface roughness prediction in turning using artificial neural network. Neural Computing & Applications, 14(4), 319-324.
Zain, A. M., Haron, H., & Sharif, S. (2010). Prediction of surface roughness in the end milling machining using Artificial Neural Network. Expert Systems with Applications, 37(2), 1755-1768.
Zhong, Z. W., Khoo, L. P., & Han, S. T. (2006). Prediction of surface roughness of turned surfaces using neural networks. The International Journal of Advanced Manufacturing Technology, 28(7-8), 688-693.
Childs, T. (2000). Metal machining: Theory and applications. London: Arnold.
Davalo, E., & Nai?m, P. (1991). Neural networks. London: Macmillan.
Demuth, H., & Beale, M. (2000). Matlab Neural Network Toolbox User & apos; s Guide.
Ezugwu, E. O., Arthur, S. J., & Hines, E. L. (1995). Tool-wear prediction using artificial neural networks. Journal of materials Processing technology, 49(3), 255-264.
Groover, M. P. (2002). Solutions manual: fundamentals of modern manufacturing. Wiley.
Jafarian, F., Taghipour, M., & Amirabadi, H. (2013). Application of artificial neural network and optimization algorithms for optimizing surface roughness, tool life and cutting forces in turning operation. Journal of Mechanical Science and Technology, 27(5), 1469-1477.
?zel, T., Karpat, Y., Figueira, L., & Davim, J. P. (2007). Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts. Journal of Materials Processing Technology, 189(1), 192-198.
Ramezani, M., & Afsari, A., (2015). Surface roughness and cutting force estimation in the CNC turning using artificial neural networks. Management Science Letters. Vol. 5, Issue 4. 357-362.
Rao, C. P., & Bhagyashekar, M. S. (2014). Effect of machining parameters on the surface roughness while turning particulate composites. Procedia Engineering, 97, 421-431.
Reddy, V. D., Krishnaiah, G. A., Kumar, H., & Priya, S. K. (Dec., 2011). ANN Based Prediction of Surface Roughness in Turning, International Conference on Trends in Mechanical and Industrial Engineering (ICTMIE & apos; 2011) Bangkok
Sharma, V. S., Dhiman, S., Sehgal, R., & Sharma, S. K. (2008). Estimation of cutting forces and surface roughness for hard turning using neural networks. Journal of Intelligent Manufacturing, 19, 473-483.
Surappa, M. K. (2003). Aluminium matrix composites: Challenges and opportunities. Sadhana, 28(1-2), 319-334.
Pal, S. K., & Chakraborty, D. (2005). Surface roughness prediction in turning using artificial neural network. Neural Computing & Applications, 14(4), 319-324.
Zain, A. M., Haron, H., & Sharif, S. (2010). Prediction of surface roughness in the end milling machining using Artificial Neural Network. Expert Systems with Applications, 37(2), 1755-1768.
Zhong, Z. W., Khoo, L. P., & Han, S. T. (2006). Prediction of surface roughness of turned surfaces using neural networks. The International Journal of Advanced Manufacturing Technology, 28(7-8), 688-693.