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ARTIFICIAL NEURAL NETWORK MODELING OF CUT DEPTH IN ROCK CUTTING BY ABRASIVE WATERJET

Karakurt, Izzet, Kaya, Serkan, Aydin, Gokhan, Hamzacebi, Coskun

First published: 2015https://doi.org/10.5593/sgem2015/b13/s3.012View metrics

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Title
ARTIFICIAL NEURAL NETWORK MODELING OF CUT DEPTH IN ROCK CUTTING BY ABRASIVE WATERJET
Authors
Karakurt, Izzet, Kaya, Serkan, Aydin, Gokhan, Hamzacebi, Coskun
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING
Publisher
Stef92 Technology
Year
2015
Pages
89-96
ISSN
1314-2704
ISBN
978-619-7105-33-9
Language
en
Publication type
Conference Paper
References12

  1. Karakurt I., Aydin G., Aydiner K., A study on the prediction of kerf angle in abrasive waterjet machining of rocks, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 226, pp 1489-1499, 2012.

  2. Aydin G., Karakurt I., Aydiner K., Prediction of cut depth of the granitic rocks machined by abrasive waterjet (AWJ), Rock Mechanics and Rock Engineering, vol. 46, pp. 1223 -1235, 2013.

  3. Khanlari G.R., Heidari M., Momeni A.A., Abdilor Y., Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods, Engineering Geology, vol.131– 132, pp 11–18, 2012.

  4. Hamzacebi C., Akay D., Kutay F., Comp arison of direct and iterative artificial neural network forecast approaches in multi-periodic time series forecasting, Expert Systems and Applications, vol. 36, pp 3839– 3844, 2009.

  5. Hashish M., Pressure effects in abrasive-waterjet(AWJ) machining. Journal of Engineering Materials and Technology vol. 111, pp 221-228, 1989.

  6. Lewis C.D., International and Business Forecasting Methods, London, Butterworths, 1982. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  7. Karakurt I., Aydin G., Aydiner K., A study on the prediction of kerf angle in abrasive waterjet machining of rocks, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 226, pp 1489-1499, 2012.

  8. Aydin G., Karakurt I., Aydiner K., Prediction of cut depth of the granitic rocks machined by abrasive waterjet (AWJ), Rock Mechanics and Rock Engineering, vol. 46, pp. 1223 -1235, 2013.

  9. Khanlari G.R., Heidari M., Momeni A.A., Abdilor Y., Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods, Engineering Geology, vol.131– 132, pp 11–18, 2012.

  10. Hamzacebi C., Akay D., Kutay F., Comp arison of direct and iterative artificial neural network forecast approaches in multi-periodic time series forecasting, Expert Systems and Applications, vol. 36, pp 3839– 3844, 2009.

  11. Hashish M., Pressure effects in abrasive-waterjet(AWJ) machining. Journal of Engineering Materials and Technology vol. 111, pp 221-228, 1989.

  12. Lewis C.D., International and Business Forecasting Methods, London, Butterworths, 1982. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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