Surface evaluation during the grinding process using acoustic emission signal

• Autorzy: Sutowski P.
• Języki publikacji: EN

Abstrakty

EN

The hereby article presents results of experimental tests which prove the possibility of indirect evaluation of the grinded object's quality with the application of monitoring and analysis of selected acoustic emission signal (AE) registered during the machining process. As the grinding process is carried out and the grinding wheel wear progresses, the acoustic emission signal value is shaped adequately to the workpiece surface quality changes. The binding descriptor of changes of roughness profile and material residual stresses is the RMS value of the acoustic emission signal and in particular the statistical features that characterize the distribution of values contained in the signal sample in relation to the average value. The analysis results indicate that the acoustic emission signal is a convenient indicator for evaluation of stresses cumulated in the surface layer of the material and in selected surface geometrical structure parameters.

Słowa kluczowe

EN

surface; roughness; grinding process; acoustic emission signal

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2012
• Tom: Vol. 12, No. 4
• Strony: 23--34
• Opis fizyczny: Bibliogr. 7 poz., tab., rys.

Twórcy

autor

Sutowski P.

• Koszalin University of Technology, Department of Mechanical Engineering, Raclawicka 15–17, 75–620 Koszalin, Poland

Bibliografia

• [1] PACZYNSKI P., 2003, Technical Metrology. A guide to lectures, tutorials and laboratories, Wydawnictwo Politechniki Poznanskiej, ISBN 83-7143-532-0, (in Polish).
• [2] PETROPOULOS G.P., PANDAZARAS C.N., DAVIM J.P., 2010, Surface texture characterization and evaluation related to machining, In: Surface Integrity in Machining, Davim J.P. (ed.), Springer London, 37-66, ISBN 978-1-84882-873-5, DOI: 10.1007/978-1-84882-874-2_2.
• [3] SUTOWSKI P., NADOLNY K., KAPLONEK W., 2012, Monitoring of cylindrical grinding processes by useof a non-contact AE system, International Journal of Precision Engineering and Manufacturing, 13/10, 1737-1743, DOI: 10.1007/s12541-012-0228-7.
• [4] SUTOWSKI P., PLICHTA S., 2006, An investigation of the grinding wheel wear with the use of root-meansquare value of acoustic emission, Archives of Civil and Mechanical Engineering, 6/1, 87-98, DOI: 10.1016/S1644-9665(12)60078-8.
• [5] WEBSTER J., DONG W.P., LINDSAY R., 1996, Raw acoustic emission signal analysis of grinding process, CIRP Annals - Manufacturing Technology, 45/1, 335–340, DOI: 10.1016/S0007-8506(07)63075-3.
• [6] XU YQ, ZHANG T., BAI YM., 2010, Effect of grinding process parameters on surface layer residual stress, Surface Finishing Technology and Surface Engineering II, In: Advanced Materials Research, 135, 154-158, DOI: 10.4028/www.scientific.net/AMR.135.154.
• [7] YANG ZS., YU ZH., 2012, Grinding wheel wear monitoring based on wavelet analysis and support vector machine, International Journal of Advanced Manufacturing Technology, 62/14, 107-121, DOI: 10.1007/s00170-011-3797-1.