The effects of turning 316L steel in a laser assisted machining are presented in this paper. The properties of 316L stainless steel are also shown in this article. In order to show correlation between the technological parameters, microgeometry of cutting tools and geometrical structure of surface, turning of material in grade 316L supported by laser has been executed. In addition, optical examination of cutting inserts has been performed and geometrical measurements of machined surfaces have been taken. The results of researches on the effects of the technological parameters and cutting tool’s microgeometry on the geometrical structure of the 316L steel surface after turning in LAM conditions are described.
, G., Gupta, M.K ., Effect of the relative position of the face milling tool towards the workpiece on machined surface roughness and milling dynamics, Applied Sciences (Switzerland)9(5),0842, 2019.
 Prasad, B.S., Babu, M.P., Reddy, Y.R. , Evaluation of correlation between vibration signal features and three dimensional finite element simulations to predict cutting tool wear in turning operation, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture230(2), pp. 203-214, 2016.
[ 10] Tung P. D., Mathematical
 Bartkowiak T., Hyde J., Brown C. A., Multi-scale curvature tensor analysis of surfaces created by micro-EDM and functional correlations with discharge energy, 5th International Conference on Surface Metrology, At Poznan University of Technology, Poznan, Poland, 2016.
 Bartkowiak T., Lehner J. T., Hyde J., Wang Z., Pedersen D. B., Hansen H. N., Brown C. A., Multi-scale areal curvature analysis of fused deposition surfaces, Conference: ASPE Spring Topical Meeting on Achieving Precision Tolerances in Additive
Martyna Wiciak, Paweł Twardowski and Szymon Wojciechowski
In this paper, the problem of tool wear prediction during milling of hard-to-cut metal matrix composite Duralcan™ was presented. The conducted research involved the measurements of acceleration of vibrations during milling with constant cutting conditions, and evaluation of the flank wear. Subsequently, the analysis of vibrations in time and frequency domain, as well as the correlation of the obtained measures with the tool wear values were conducted. The validation of tool wear diagnosis in relation to selected diagnostic measures was carried out with the use of one variable and two variables regression models, as well as with the application of artificial neural networks (ANN). The comparative analysis of the obtained results enable.
., Wear characteristics and defects analysis of friction stir welded joint of aluminium alloy 6061-t6, Eksploatacja i niezawodność, Volume 18, Issue 1, 2016, Pages 128-135
 Lenke I. Rogowski D., Design of metal ceramic composites, International Jurnal of Materials Research 95(5), pp. 676-680, 2006.
 Mukaka M., A guide to appropriate use of Correlation coefficient in medical research, Malawia Medical Journal 24(3), pp. 69-71, 2012.
 Surowska B., Śliwa R., Metaliczne materiały kopozytowe w aplikacjach lotniczych
 A. Verl, S. Frey, Correlation between feed velocity and preloading in ball screw drives, Ann. CIRP 59(2) (2010) 429-432.
 T. A. Harris, Rolling Bearing Analysis, Wiley & Sons, New York, (1991), 540-560.
 L. Rutkowski, Metody i Techniki Sztucznej Inteligencji, WTN, Warszawa (2006) (in Polish).
 J. Szargut, Termodynamika, PWM Warszawa (1998) (in Polish ).
 J. Mayr, J. Jedrzejewski, E. Uhlmann, M.A. Donmez, W. Knapp, F. Heartig, K. Wendt, T. Moriwaki, P. Shore, R. Schmitt, C. Brecher