Cutting Force Induced Error Prediction and Compensation Based on Feed Servo Motor Current

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Abstract:

According to the relation between feed servo motor current and cutting force, online monitoring of cutting force is realized by measuring the motor current. For the delay of current signal to cutting force, a method with artificial neural network is proposed. Subtracting the geometric error from the total error which is measured with a laser interferometer within the working volume, the cutting force induced error is achieved. With the multi-body system theory and the back-propagation neural network, cutting force induced deflection prediction model is established, and an error compensation system is developed. Milling experiments are done to validate the prediction model and the system. The results show that force error is reduced markedly, and the method for prediction and compensation is of great important to precision manufacturing.

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879-883

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December 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] M Wan, Wh Zhang. Acta aeronautica et astronautica sinica Vol. 29(2008), pp.1340-1349, in Chinese.

Google Scholar

[2] Eyup Sabri Topal, Can Cogun. Journal of Materials Processing Technology Vol. 170(2005), pp.192-203.

Google Scholar

[3] S Ratchev, S Liu, A A Becker. Journal of Materials Technology Vol. 163(2005), p. : 673-681.

Google Scholar

[4] S Yang, J Yuan, J Ni. International Journal of Machine Tools & Manufacture Vol. 137(1997), pp.1597-1610.

Google Scholar

[5] Jianmin Zuo, Baosheng Wang, Mulan Wang. preceedings of ICMEM Vol. 2(2007), pp.1622-1626.

Google Scholar

[6] G M Kim, B H Kim, C N Chu. International Journal of Machine Tools & Manufacture Vol. 143 (2003), pp.917-924.

Google Scholar

[7] L Wang, J P Chen. Journal of Dalian University of Technology Vol. 45(2005), pp.814-818.

Google Scholar

[8] C H Hu, D H Zhang, J X REN, et al. Advances in Mechanics Vol. 36(2006), pp.564-570.

Google Scholar

[9] Y W Liu, Q Zhang. Manufacturing Technology & Machine Tool Vol. 7(2006), pp.46-50, in Chinese.

Google Scholar

[10] J T Yun, L B Liu. Journal of Hebei University of TechnologyVol. 28(1999), pp.37-41, in Chinese.

Google Scholar

[11] J W Fan, Y Tian, G R Song. Journal of Beijing Polytechnic University Vol. 26(2000), pp.11-15, in Chinese.

Google Scholar