Simulation of tool life for ceramic with negative rake angle using neural network
The current work presents the simulation of tool life in high speed Hard Turning (HSHT) of AISI 4340 hardened steel using artificial neural networks. An experimental investigation was carried out using ceramic cutting tools, composed approximately of Al₂O₃ (70%) and TiC (30%) on AISI 4340 heat...
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| Format: | Conference or Workshop Item |
| Language: | English English English |
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2013
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| Online Access: | http://irep.iium.edu.my/35039/ http://irep.iium.edu.my/35039/1/PID3071397-1.pdf http://irep.iium.edu.my/35039/4/stimulation.pdf http://irep.iium.edu.my/35039/5/Produced_by_convert-jpg-to-pdf.net_%287%29.pdf |
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iium-35039 |
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eprints |
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iium-350392014-03-09T04:48:15Z http://irep.iium.edu.my/35039/ Simulation of tool life for ceramic with negative rake angle using neural network Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hasan, Muhammed H T Technology (General) The current work presents the simulation of tool life in high speed Hard Turning (HSHT) of AISI 4340 hardened steel using artificial neural networks. An experimental investigation was carried out using ceramic cutting tools, composed approximately of Al₂O₃ (70%) and TiC (30%) on AISI 4340 heat treated to a hardness of 60 HRC. A new model was adjusted to predict tool life for different values of cutting speed, feed rate, depth of cut and rake angle. The model was built by using the neural network. A set of experimental data was obtained in the following design boundary: cutting speeds (175-325 m/min), feed rate (0.075-0.125 m/rev), negative rake angle (0 to -12) and depth of cut of (0.1-0.15) mm. The experiments were planned and implemented using Box Behnken design (BBD) of Response Surface Methodology (RSM) with four input factors at three levels. The neural network model was built by using MATLAB. The results indicate that even with the complexity of developing a model, the neural network technique is found to be adequate in predicting and simulating the tool life. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/35039/1/PID3071397-1.pdf application/pdf en http://irep.iium.edu.my/35039/4/stimulation.pdf application/pdf en http://irep.iium.edu.my/35039/5/Produced_by_convert-jpg-to-pdf.net_%287%29.pdf Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas and Hasan, Muhammed H (2013) Simulation of tool life for ceramic with negative rake angle using neural network. In: International Conference on Advanced Computer Science Applications and Technologies 2013, 22-24 December 2013, Kuching, Sarawak. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hasan, Muhammed H Simulation of tool life for ceramic with negative rake angle using neural network |
| description |
The current work presents the simulation of tool life
in high speed Hard Turning (HSHT) of AISI 4340 hardened
steel using artificial neural networks. An experimental
investigation was carried out using ceramic cutting tools,
composed approximately of Al₂O₃ (70%) and TiC (30%) on
AISI 4340 heat treated to a hardness of 60 HRC. A new model
was adjusted to predict tool life for different values of cutting speed, feed rate, depth of cut and rake angle. The model was built by using the neural network. A set of experimental data was obtained in the following design boundary: cutting speeds (175-325 m/min), feed rate (0.075-0.125 m/rev), negative rake angle (0 to -12) and depth of cut of (0.1-0.15) mm. The experiments were planned and implemented using Box Behnken design (BBD) of Response Surface Methodology (RSM) with four input factors at three levels. The neural network model was built by using MATLAB. The results indicate that even with the complexity of developing a model, the neural network technique is found to be adequate in predicting and simulating the tool life. |
| format |
Conference or Workshop Item |
| author |
Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hasan, Muhammed H |
| author_facet |
Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hasan, Muhammed H |
| author_sort |
Al Hazza, Muataz Hazza Faizi |
| title |
Simulation of tool life for ceramic with negative rake angle using neural network |
| title_short |
Simulation of tool life for ceramic with negative rake angle using neural network |
| title_full |
Simulation of tool life for ceramic with negative rake angle using neural network |
| title_fullStr |
Simulation of tool life for ceramic with negative rake angle using neural network |
| title_full_unstemmed |
Simulation of tool life for ceramic with negative rake angle using neural network |
| title_sort |
simulation of tool life for ceramic with negative rake angle using neural network |
| publishDate |
2013 |
| url |
http://irep.iium.edu.my/35039/ http://irep.iium.edu.my/35039/1/PID3071397-1.pdf http://irep.iium.edu.my/35039/4/stimulation.pdf http://irep.iium.edu.my/35039/5/Produced_by_convert-jpg-to-pdf.net_%287%29.pdf |
| first_indexed |
2023-09-18T20:50:21Z |
| last_indexed |
2023-09-18T20:50:21Z |
| _version_ |
1777409952914079744 |