Abstract
The paper deals with basic research of vibration generated at abrasive waterjet cutting of materials and their analysis of frequency spectrum in the plane cut. As an experimental material, stainless steel AISI 309 has been used. Experimentally controlled factor involved in the experiment was abrasive mass flow rate with values m a = 250 and 400 g min−1 at a constant traverse speed v = 100 mm min−1. The vibrations were recorded during experimental cutting by sensors PCB IMI type 607A11 placed on experimental material along the cut at a distance of 50 mm from the cutting plane. Data collection was carried by NI PXI measurement system and frequency analyzer Microlog GX-S. Signal was evaluated by virtual instrument created in the object-programming environment LabView 8.5. Various sizes of amplitudes were observed depending on the distance of abrasive waterjet cutting process from the beginning of the cut. Two peaks of frequency bands have been also found: the first between 500 and 600 Hz and the other at approximately 12.5 kHz. Using this method is possible to ensure the determination of technology efficiency of the material removal process.
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References
Chen Lu (2008) Study on prediction of surface quality in machining process. J Mater Process Technol 205:439–450
Natarajan C, Muthu S, Karuppuswamy P (2011) Prediction and analysis of surface roughness characteristics of a non-ferrous material using ANN in CNC turning. Int J Adv Manuf Technol. doi:10.1007/s00170-011-3343-1
Chen CC, Chiang KT, Chou CC, Liao YC (2011) The use of D-optimal design for modeling and analyzing the vibration and surface roughness in the precision turning with a diamond cutting tool. Int J Adv Manuf Technol 54:465–478
Momber WA, Kovacevic R (1998) Principles of abrasive water jet machining. Springer, New York, p 394
Salak A, Vasilko K, Selecka M et al (2006) New short time face turning method for testing the machinability of PM steels. J Mater Process Technol 176:62–69
Sharma V et al (2011) Multi response optimization of process parameters based on Taguchi-Fuzzy model for coal cutting by water jet technology. Int J Adv Manuf Technol 56:1019–1025
Hloch S, Valíček J (2011) Prediction of distribution relationship of titanium surface topography created by abrasive waterjet. Int J Surf Sci Eng 5:152–168
Tonshoff HK, Jung M, Männel S, Reitz W (2000) Using acoustic emission signals for monitoring of production processes. Ultrasonics 37:681–686
Vikram G, Babu NR (2002) Modelling and analysis of abrasive water jet cut surface topography. Int J Mach Tool Manuf 42:1345–1354
Summers AD (1995) Waterjetting Technology. E & FN Spon, Oxford, 882 s., ISBN 0-419-19660-9
Momber AW, Mohan RS, Kovacavic R (1999) On-line analysis of hydro-abrasive erosion of pre-cracked materials by acoustic emission. Theor Appl Fract Mech 31(1):1–17 (17)
Marinescu I, Axinte DA (2008) A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations. Int J Mach Tool Manuf 48:1148–1160
Valíček J, Hloch S (2010) Using Acoustic sound pressure level for quality prediction of surfaces created by abrasive waterjet. Int J Adv Manuf Technol 48(1–4):193–203. doi:10.1007/s00170-009 2277-3
Benardos PG, Vosniakos GC (2003) Predicting surface roughness in machining: a review. Int J Mach Tool Manuf 43:833–844
Jurisevic B, Brissaud D, Junkar M (2004) Monitoring of abrasive water jet (AWJ) cutting using sound detection. Int J Adv Manuf Technol 24:733–737
Kök M, Kanca E, Eyercioğlu Ö (2011) Prediction of surface roughness in abrasive waterjet machining of particle reinforced MMCs using genetic expression programming. Int J Adv Manuf Technol 55:955–968
Lu C (2008) Study on prediction of surface quality in machining process. J Mater Process Technol 205:439–450
Modrak V, Paško J, Pavlenko S (2002) Alternative solution for a robotic stereotactic system. J Intell Robot Syst 35:193–202
Kovacevic R (1992) Monitoring the depth of abrasive waterjet penetration. J Mach Tool Manuf 32(5):725–736
Asraf I, Hassan AI, Chen C, Kovacevic R (2004) On-line monitoring of depth of cut in AWJ cutting. Int J Mach Tool Manuf 44(6):595–605
Axinte DA, Kong MC (2009) An integrated monitoring method to supervise waterjet machining. CIRP Ann Manuf Technol 58(1):303–306
Mono M, Ravasio C (2005) The effect of cutting head vibrations on the surfaces generated by waterjet cutting. Int J Mach Tool Manuf 45(3):355–363
Hassan AI, Chen C, Kovacevic R (2004) On-line monitoring of depth of cut in AWJ cutting. Int J Mach Tool Manuf 44:595–605
Hloch S, Valíček J, Kušnerová M (2009) Material cutting by abrasive waterjet (6): analysis of the vibration spectra during abrasive waterjet cutting of aluminium. Weld Cut Jt Mater 6(10), pages 1, 42–43
Valíček J, Hloch S, Kozak D (2009) Surface geometric parameters proposal for the advanced control of abrasive waterjet technology. Int J Adv Manuf Technol 41:323–328
Bostjan J, Brissaud D, Junkar M (2004) Monitoring of abrasive water jet (AWJ) cutting using sound detection. Int J Adv Manuf Technol 24:733–737
Hreha P, Hlaváček P, Klich J, Hloch S, Valíček J, Kozak D (2009) Dependence of the surface roughness profile parameters and vibration parameters in AWJ cutting, University of Applied Sciences of Slavonski Brod, International TEAM Society
Hreha P, Hloch S, Valíček J et al (2010) Impact of abrasive mass flow rate when penetrating into a material on its vibration. Tehnicki vjesnik-Technical gazette 17:475–480
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Peržel, V., Hreha, P., Hloch, S. et al. Vibration emission as a potential source of information for abrasive waterjet quality process control. Int J Adv Manuf Technol 61, 285–294 (2012). https://doi.org/10.1007/s00170-011-3715-6
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DOI: https://doi.org/10.1007/s00170-011-3715-6