Adaptive Control System to Assist the Surface Workpiece Quality when Drilling

Abstract:

Article deals with design of adaptive control system for drilling process of aerospace critical components. The system proposed in this paper is directed towards real the time control of surface roughness parameter Ra. Proposed model for monitoring and control consists of surface roughness prediction system and decision making subsystem. The artificial neural network was employed to calculate surface roughness parameter Ra through of process monitoring indices such as torque Mz, force Fz, power P and cutting conditions feed f, cutting speed v_c. Test samples were nickel based super alloy Udimet 720 used as a basic constructional material of discs for gas turbine engines.

• Periodical: Applied Mechanics and Materials (Volume 474)
• Pages: 212-217
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.474.212
• Online since: January 2014
• Authors: Marek Vrabel', Ildikó Maňková, Jozef Beňo, Ladislav Kandráč, Jozef Stahovec
• Keywords: Adaptive Control, Drilling, Neural Network (NN), Process Monitoring, Surface Roughness (SR)

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