Cutting Parameters Optimization of Thin-Walled Workpiece Based on Deflection Control

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Abstract:

Thin-walled workpiece is prone to produce deformation in the process of machining because of cutting and clamping forces. In this paper, a model of cutting parameters optimization is proposed to control the deflection. The influence of deflection on nominal milling depth is taken into account and the machining deflection is computed by iterative method. Based on the optimization model, a prototype system is developed to optimize the cutting parameters for a thin-walled workpiece with the genetic algorithm and finite element method. Finally, a simulation example is used to demonstrate the feasibility of the cutting parameters optimization method. The simulation result can be further employed into practical machining situation.

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Key Engineering Materials (Volumes 407-408)

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448-451

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Online since:

February 2009

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© 2009 Trans Tech Publications Ltd. All Rights Reserved

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[1] Franci Cus, Uros Zuperl: Materials Processing Technology, Vol. 173 (2006), No. 3, pp.281-290.

Google Scholar

[2] U. Zuperl, F. Cus and et al: Materials Processing Technology, Vol. 157-158(2004), No. 1-2, pp.82-90.

Google Scholar

[3] Ramón Quiza Sardiñas, Marcelino Rivas Santana, Eleno Alfonso Brindis: Engineering Applications of Artificial Intelligence, Vol. 19(2006), No. 2, pp.127-133.

DOI: 10.1016/j.engappai.2005.06.007

Google Scholar

[4] Franci Cus, Joze Balic: Robotics and Computer Integrated Manufacturing, Vol. 19 (2003), No. 1-2, pp.113-121.

Google Scholar

[5] Xu Feng, Zheng Minli and et al: Harbin University of Science and Technology, Vol. 12 (2007), No. 15, pp.39-42.

Google Scholar

[6] Pan Yongzhi, Ai Xing, TANG Zhitao and et al: China Mechanical Engineering, Vol. 19 (2008), No. 4, pp.428-431.

Google Scholar

[7] Wassila Bouzid: Materials Processing Technology, Vol. 161 (2005), No. 3, pp.388-395.

Google Scholar