Xu Zhaomei, Zhou Jianzhong, Huang Shu, Sun Quanping. Application of artificial neural network in Al2O3 ceramics laser milling[J]. Infrared and Laser Engineering, 2013, 42(11): 2957-2961.
| Citation:
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Xu Zhaomei, Zhou Jianzhong, Huang Shu, Sun Quanping. Application of artificial neural network in Al2O3 ceramics laser milling[J]. Infrared and Laser Engineering, 2013, 42(11): 2957-2961.
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Application of artificial neural network in Al2O3 ceramics laser milling
- 1.
School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China;
- 2.
Faculty of Mechanical Engineering,Huaiyin Institute of Technology,Huaian 223003,China;
- 3.
Digital Manufacturing Technology Lab.,Huaiyin Institu te of Technology,Huaian 223003,China
- Received Date: 2013-03-11
- Rev Recd Date:
2013-04-13
- Publish Date:
2013-11-25
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Abstract
In order to control the quality of Al2O3 ceramics, based on the artificial neural network (ANN), a model was established to describe the relation between the laser milling quality of Al2O3 ceramics with the ceramics parameters. The milling quality of Al2O3 ceramics were predicted with the model in which the input parameters consisted of laser power, scanning speed and defocus amount and the output parameters included the milling depth and width. The results show that the mean error is small, and the model has good verifying precision and excellent ability of predicting. Five group process parameters were chosen to test the reliability of the neural network model out of the train samples. The maximum relative error of the output test value and the experiment sample value was 7.06%. The laser process parameters can be chosen easily and accurately to improve the processing quality of Al2O3 ceramics.
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