On use of acoustic emission in monitoring of under and over abrasion during a water jet milling process

• Autorzy: Mikler J.
• Języki publikacji: EN

Abstrakty

EN

Water jet milling process is a new emerging technology with many interesting applications. Low cutting forces, no thermal distortion, process flexibility and ability to machine difficult to cut materials make it very attractive for many technological operations. However, its wider application is hindered by lack of proper solutions of process monitoring that would allow accurate control of the material removal process. The research contributions so far focused on use of acoustic emission, thus the purpose of this paper is an evaluation of the proposed strategies and analysis of applicability of acoustic emission for this purpose. An extensive amount of AE data was collected during waterjet machining with various feed rates, abrasive flows, and pump pressures, and analyzed with the aim to determine whether there exists any feature of the AE signal correlated with under- and over abrasion. Monitoring and control of removal rate is possible only if it is possible to discriminate between AE signal samples originating from different states of the abrasive process. In this paper I present results based on extensive one-way ANOVA study of the AE samples, showing, that the standard AE signal features proposed in the literature the energy and statistics of the AE signal do not allow such discrimination, and are not suitable to monitor abnormalities of the abrasive process. The research covers also principle component analysis of the AE signal energy performed in the aim to study if there exists any subset of the energy allowing better discrimination between the investigated process states.

Słowa kluczowe

EN

water jet abrasive milling; acoustic emission; signal analysis; water jet abrasive process control

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2014
• Tom: Vol. 14, No. 2
• Strony: 104--115
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Mikler J.

• The Royal Institute of Technology, Stockholm, Sweden

Bibliografia

• [1] KOVACEVIC R, KWAK H.S., MOHAN R. S., 1997, Acoustic emission sensing as a tool for understanding the mechanisms of abrasive water jet drilling of difficult to machine materials, Proc Instn Mech Engrs, 212 B.
• [2] MOHAN R.S., MOMBER A.W., KOVACEVIC R., 2002, Energy dissipation control in hydro-abrasive machining using quantitative acoustic emission, Int J Adv Manuf Technol, 20, 397-406.
• [3] MATSUOKA K., FORREST D., TSE M.K., 1993, On-line wear monitoring using acoustic emission, Wear, 162, 605-610.
• [4] DEAM R.T., LEMMA E., AHMED D.H., 2004, Modelling of the abrasive water jet cutting process, Wear 257, 877-891.
• [5] HLOCH S., VALICEK J., KOZAK D., TOZAN H., 2013, Analysis of acoustic emission emerging during hydroabrasive cutting and options for indirect quality control, Int J Adv Manuf Technol, 66, 45-58
• [6] RABANI A., MARINESCU I., AXINTE D., 2012, Acoustic emission energy transfer rate: A method for monitoring abrasive ware jet milling, Int J of Machine Tools and Manufacture, 61, 80-89.
• [7] KONG M.C. AXINTE D., VOICE W., 2010, Aspects of material removal mechanism in plain waterjet milling on gamma titanium aluminide, Journal of Materials Processing Technology, 210/3, 573–584.
• [8] AXINTE D., KONG M.C., 2009, An integrated monitoring method to supervise waterjet machining, CIRP, Annals – Manufacturing Engineering, 58, 303–306.
• [9] ABELLAN-NEBOT J.V., SUBRION F.R., 2010, A review of machining monitoring systems based on artificial intelligence process models, Int J Adv Manufacturing Technologies, 47, 237-257.
• [10] XIAOJING M., WEIDONG L., 2011, The research of acoustic emission signal classification, Seventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 41-44.
• [11] ADACHI Y., SOYAMA H., YAMAUCHI Y., SATO K., IKOHAGI T., OBA R., 1996, Jet structure analyses on high-speed submerged water jets trough cavitation noises, JSME International Journal, Series B, 39/3, 568-574.
• [12] HAHN T. R., BERGER T. K., BUCKINGHAM M. J., 2002, Acoustic resonances in the bubble plume formed by a plunging water jet, Proc. R. Soc. London, A 459, 1751-1782.
• [13] HASCALIK A., CAYDAS U., GURUN H., 2005, Effect of traverse speed on abrasive water jet machining of Ti-6Al-4V alloy, Materials and Design, 28, 1953-1957.
• [14] HASSAN A.I., CHEN C., KOVACEVIC R., 2004, On-line monitoring of depth of cut in AWJ cutting, International Journal of Machine Tools & Manufacture ,44, 595-605.
• [15] KONG M.C., ANWAR S., BILLINGHAM J., AXINTE D.A., 2012, Mathematical modelling of abrasive waterjet footprints for arbitrarily moving jets: Part I – single straight paths, International Journal of Machine Tools & Manufacture, 53, 58-68.
• [16] BILLINGHAM J., MIRON C.B., AXINTE D.A., KONG M.C., 2013, Mathematical modelling of abrasive water jet footprints for arbitrarily moving jets: Part II – Overlapped single and multiple straight paths, International Journal of Machine Tools & Manufacture, 68, 30-39.
• [17] SRINIVASU D.S., RAMESH BABU N., 2006, A neuro-genetic approach for selection of process parameters in abrasive water jet cutting considering variation in diameter of focusing nozzle, Applied Soft Computing, 8, 809-819.
• [18] JEMIELNIAK K.,1999, Commercial tool condition monitoring systems, Int. J Adv Manuf. Technology, 15, Springer-Verlag London Limited, 711–721.
• [19] KAPUSZCZEWSKI B., 2001, Sensoren zur Prozeßuberwachung beim Spanen, Habilitationsschrift. University of Hannover, Germany.
• [20] IWATA K., MORIWAKI T., 1977, An application of acoustic emission measurement to in-process sensing of tool wear, Annals of the CIRP, 26/(1-2), 19-23.
• [21] TETI R., JEMIELNIAK K., O’DONNELL G., DORNFELD D., 2010, Advanced monitoring of machining operations, CIRP Annals – Manufacturing Technology, 59/2, 717-739.
• [22] MOHAN R.S., MOMBER A.W., KOVACEVIC R., 1995, On-line monitoring of depth of AWJ penetration, using acoustic emission technique, Water Jet Cutting Technology, Mechanic Engineering Publication, Suffolk, 649-664.