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Development of process monitoring strategies in broaching of nickel–based alloys

Published online by Cambridge University Press:  23 April 2012

Fritz Klocke ,
Dražen Veselovac ,
Sascha Gierlings  and
Liliana Elvira Tamayo
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Abstract

Due to their stability under high mechanical and thermal loads nickel-based alloys generate high cutting forces and temperatures during machining which adversely affect tool life. Especially in broaching with form shaped tools, deviations from the original tool geometry cause an inacceptable product quality. In aero engine industry, where quality standards for machining of safety critical parts are very high, this cannot be tolerated. Because of its tool geometry broaching is different from other machining processes: due to the high ratio between cutting edge radius and chipping thickness, the influence of the tool wear at the cutting edge is strong, especially for the finishing section. In order to guarantee stable machining processes in production, monitoring methods are desired that are capable to recognize changes in cutting conditions. The EU funded ACCENT project focuses on this challenge: the goal is to use process monitoring to make conclusions about the product quality during machining and, if necessary make adjustments to process input parameters to keep the quality measures in a defined window.

Keywords

ACCENTprocess monitoringnickel-based alloysbroaching
Type
Research Article
Information
Mechanics & Industry , Volume 13 , Issue 1 , 2012 , pp. 3 - 9
Copyright
© AFM, EDP Sciences 2012

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References

R.C. Reed, The Super alloys Fundamentals and Applications, Cambridge University Press, New York, 2006
Axinte, D.A., Gindy, N., Tool condition monitoring in broaching, Wear 254 (2003) 370–382 CrossRefGoogle Scholar
D.A. Axinte, N. Gindy, K. Fox, I. Unanue, Process monitoring to assist the workpiece surface quality in machining, Int. J. Machine Tool. Manufacture (2004)
F. Klocke, S. Gierlings, D. Veselovac, L. Tamayo-Osoria, M. Cherubini, M. Pizzi, 12.-14. Intelligent sensor system supporting set-up processes in manufacture of safety critical components, 21st Conference on Computer Aided Production Engineering (CAPE), Edinburgh, Scotland, April 2010
Jin, J., Shi, J., Automatic feature extraction of waveform signals for in-process diagnostic performance improvement, J. Intell. Manuf. 12 (2001) 257–268 CrossRefGoogle Scholar
Sokolowski, A., Kosmol, J., Selected examples of cutting process monitoring and diagnostics, J. Mater. Process. Techno. 113 (2001) 322–330 CrossRefGoogle Scholar
Scheffer, C., Heyns, P.S., An industrial tool wear monitoring system for interrupted turning, Mech. Syst. Signal Process. 18 (2004) 1219–1242 CrossRefGoogle Scholar
Pane, I., Blank, E., Role of plasticity on indentation behaviour : Relations between surface and subsurface responses, Int. J. Solids Struct. 43 (2006) 2014–2036 CrossRefGoogle Scholar
F. Klocke, S. Gierlings, D. Veselovac, L. Tamayo, Investigation of the mechanisms at the tool-product-interface via process monitoring in broaching of nickel-based alloys, CIRP-PMI, Vancouver, Canada, 2010