Vibration emission as a potential source of information for abrasive waterjet quality process control

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 ma = 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.

[1]  Karol Vasilko,et al.  New short time face turning method for testing the machinability of PM steels , 2006 .

[2]  H. Tönshoff,et al.  Using acoustic emission signals for monitoring of production processes. , 2000, Ultrasonics.

[3]  Radovan Kovacevic,et al.  On-line monitoring of depth of cut in AWJ cutting , 2004 .

[4]  Jan Valíček,et al.  Surface geometric parameters proposal for the advanced control of abrasive waterjet technology , 2008 .

[5]  Chih-Chung Chou,et al.  The use of D-optimal design for modeling and analyzing the vibration and surface roughness in the precision turning with a diamond cutting tool , 2011 .

[6]  S. Muthu,et al.  Prediction and analysis of surface roughness characteristics of a non-ferrous material using ANN in CNC turning , 2011 .

[7]  Daniel Brissaud,et al.  Monitoring of abrasive water jet (AWJ) cutting using sound detection , 2004 .

[8]  Dragos Axinte,et al.  A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations , 2008 .

[9]  Radovan Kovacevic,et al.  Monitoring the depth of abrasive waterjet penetration , 1992 .

[10]  Sergej Hloch,et al.  Multi response optimization of process parameters based on Taguchi—Fuzzy model for coal cutting by water jet technology , 2011 .

[11]  Jan Valíček,et al.  Using the acoustic sound pressure level for quality prediction of surfaces created by abrasive waterjet , 2010 .

[12]  Michele Monno,et al.  The effect of cutting head vibrations on the surfaces generated by waterjet cutting , 2005 .

[13]  Chen Lu,et al.  Study on prediction of surface quality in machining process , 2008 .

[14]  N. Ramesh Babu,et al.  Modelling and analysis of abrasive water jet cut surface topography , 2002 .

[15]  M. Kök,et al.  Prediction of surface roughness in abrasive waterjet machining of particle reinforced MMCs using genetic expression programming , 2011 .

[16]  George-Christopher Vosniakos,et al.  Predicting surface roughness in machining: a review , 2003 .

[17]  Radovan Kovacevic,et al.  Principles of Abrasive Water Jet Machining , 2012 .

[18]  Katarina Monkova,et al.  Impact of abrasive mass flow rate when penetrating into a material on its vibration , 2010 .

[19]  Slavko Pavlenko,et al.  Alternative Solution for a Robotic Stereotactic System , 2002, J. Intell. Robotic Syst..

[20]  Jan Valíček,et al.  Prediction of distribution relationship of titanium surface topography created by abrasive waterjet , 2011 .

[21]  Dragos Axinte,et al.  An integrated monitoring method to supervise waterjet machining , 2009 .

[22]  Radovan Kovacevic,et al.  On-line analysis of hydro-abrasive erosion of pre-cracked materials by acoustic emission , 1999 .