New Indicators Of Burnished Surface Evaluation – Reasons Of Application

Modern production technology requires new ways of surface examination and a special kind of surface profile parameters. Industrial quality inspection needs to be fast, reliable and inexpensive. In this paper it is shown how stochastic surface examination a nd its proper parameters could be a solution for many industrial problems not necessarily related with smoothing out a manufactured surface. Burnishing is a modern technology widely used in aircraft and automotive industries to the products as well as to p rocess tools. It gives to the machined surface high smoothness, and good fatigue and wear resistance. Every burnished material behaves in a different manner. Process conditions strongly influence the final properties of any specific product. Optimum burnis hing conditions should be preserved for any manufactured product. In this paper we deal with samples made of conventional tool steel – Sverker 21 (X153CrMoV12) and powder metallurgy (P/M) tool steel – Vanadis 6. Complete investigations of product propertie s are impossible to perform (because of constraints related to their cost, time, or lack of suitable equipment). Looking for a global, all-embracing quality indicator it was found that the correlation function and the frequency analysis of burnished surfac e give useful information for controlling the manufacturing process and evaluating the product quality. We propose three new indicators of burnishing surface quality. Their properties and usefulness are verified with the laboratory measurement of material samples made of the two mentioned kinds of tool steel.

[1]  Adam Boryczko,et al.  Surface irregularities as a complex signal of tool representation together with uneven displacement in respect to the workpiece , 2014 .

[2]  J. Radziejewska,et al.  Microstructure and residual stresses in surface layer of simultaneously laser alloyed and burnished steel , 2009 .

[3]  Matthias Kleiner,et al.  Manufacturing of resistant joints by rolling for light tubular structures , 2008 .

[4]  Wit Grzesik,et al.  Modification of surface finish produced by hard turning using superfinishing and burnishing operations , 2012 .

[5]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[6]  Jun Komotori,et al.  Effect of Fine Particle Peening Treatment prior to Nitriding on Fatigue Properties of AISI 4135 Steel , 2008 .

[7]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[8]  ka,et al.  Mathematical Modelling And Numerical Simulation Of Non-linear Deformation Of The Asperity In The Burnishing Cold Rolling Operation , 2001 .

[9]  Tomás Belenguer,et al.  On roughness measurement by angular speckle correlation , 2012 .

[10]  J. Lubaś,et al.  Surface layer characteristics due to slide diamond burnishing with a cylindrical-ended tool , 2011 .

[11]  Adam Boryczko Distribution of Roughness and Waviness Components of Turned Surface profiles , 2010 .

[12]  Adam Boryczko Profile irregularities of turned surfaces as a result of machine tool interactions , 2011 .

[13]  Aitzol Lamikiz,et al.  Surface improvement of shafts by the deep ball-burnishing technique , 2012 .

[14]  M. Korzynski,et al.  Modeling and experimental validation of the force–surface roughness relation for smoothing burnishing with a spherical tool , 2007 .

[15]  Witold Brostow,et al.  Improvement of Tribological Properties of Metal Matrix Composites by Means of Slide Burnishing , 2013 .

[16]  P. Rusek,et al.  Slide diamond burnishing of tool steels with adhesive coatings and diffusion layers , 2013 .

[17]  Stanisław Adamczak,et al.  INVESTIGATING ADVANTAGES AND DISADVANTAGES OF THE ANALYSIS OF A GEOMETRICAL SURFACE STRUCTURE WITH THE USE OF FOURIER AND WAVELET TRANSFORM , 2010 .

[18]  David J. Whitehouse,et al.  Handbook of Surface Metrology , 2023 .

[19]  K. Skalski,et al.  Properties of surface layer generated by new combined process of burnishing and nitriding , 2006 .