ROUNDNESS ERROR AND TOPOGRAPHY OF HARD TURNED SURFACES

Authors

DOI:

https://doi.org/10.20998/2078-7405.2023.98.08

Keywords:

roundness, 3D surface topography, hard turning, precision machining

Abstract

Accuracy and topography are significant indicators of precision machined high-quality surfaces. Case hardened steel (16MnCr5) was analyzed to obtain information about the effects of technological data and the connections between the analyzed accuracy (roundness) and roughness parameters (Sa, Sz, Ssk, Sku). It was found that the feed rate has a significant influence on the roundness and the roughness parameters, and there are strong relationships between the roundness and these roughness parameter values: the correlation coefficients varied between 0.78 and 0.85.

Author Biographies

Sultana Jakiya, University of Miskolc, Hungary

PhD student, Faculty of Mechanical Engineering and Informatics, Institute of Manufacturing Science, University of Miskolc, Hungary

Sztankovics István, University of Miskolc, Hungary

Associate Professor, Deputy Director of the Institute of Manufacturing Science, University of Miskolc, Department of Production Engineering, Miskolc - Egyetemváros, Hungary

References

Kundrak, J., Mamalis, A.G., Molnar, V.: The efficiency of hard machining processes, Nanotechnology Perceptions 15, pp. 131–142, 2019.

Turmanidze, R., Popkhadze, G., Inasharidze, K.: Improving the performance characteristics of human hip-joint implants by increasing the quality of processing and geometric accuracy of their spherical surfaces, Cutting and Tools in Technological System 93, pp. 103–113, 2020.

Kovalev, V., Klymenko, G., Vasylchenko, Y., Shapovalov, M., Antsiferova, O., Maiskykh, I.: Results of industrial testing of carbide cutting tools by pulsed magnetic field treatment and the effect on the increase of the cutting process efficiency, Cutting and Tools in Technological System 95, pp. 3–12, 2021.

Bartarya, G., Choudhury, S.K.: State of the art in hard turning, International Journal of Machine Tools and Manufacture 53(1), pp. 1–14, 2012.

Kvasnova, P., Kucerka, M., Hruby, D., Novak, D., Novak, V.: Hardness tests and dimensional and shape precision analysis of construction and agricultural machinery components, Manufacturing Technology 18(6), pp. 943–949, 2018.

Fedorovich,V., Pyzhov, I., Ostroverkh, Y., Pupan, L., Garachenko, Y.: Methodology for developing an expert system for the grinding of superhard materials, Cutting and Tools in Technological System 96, pp. 82–88, 2022.

Sumesh, C.S., Akbar, D.S., Purandharadass, H.S., Chandrasekaran, R.J.: Optimization of dimensional tolerances and material removal rate in the orthogonal turning of AISI 4340 steel, Periodica Polytechnica Mechanical Engineering, 65(3), pp. 205–216, 2021.

Alok, A., Das, M.: White layer analysis of hard turned AISI 52100 steel with the fresh tip of newly developed HSN2 coated insert, Journal of Manufacturing Processes 46, pp. 16–25, 2019.

Chen, L., Tai, B. L., Chaudhari, R. G., Song, X., Shih, A. J.: Machined surface temperature in hard turning, International Journal of Machine Tools and Manufacture 121, pp. 10–21, 2017.

Jirapattarasilp, K., Kuptanawin, C.: Effect of turning parameters on roundness and hardness of stainless steel: SUS 303, AASRI Procedia 3, pp. 160–165, 2012.

Binali, R., Kuntoglu, M., Pimenov, D.Y., Usca, U.A., Gupta, M.K., Korkmaz, M.E.: Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends, Measurement 201, art no 111757, 2022.

Varatharajulu, M., Duraiselvam, M., Kumar, M.B., Jayaprakash, G., Baskar, N.: Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91, Journal of Magnesium Alloys 10, pp. 2857–2874, 2021.

Du, C., Ho, C.L., Kaminski, J.: Prediction of product roughness, profile, and roundness using machine learning techniques for a hard turning process, Advances in Manufacturing 9, pp. 206–215, 2021.

Zolpakar, N.A., Yasak, M.F., Pathak, S.: A review: use of evolutionary algorithm for optimisation of machining parameters, The International Journal of Advanced Manufacturing Technology 115, pp. 31–47, 2021.

Cardoso, L.G., Madeira, D.S., Ricomini, T.E., Miranda, R.A., Brito, T.G., Paiva, E.J.: Optimization of machining parameters using response surface methodology with desirability function in turning duplex stainless steel UNS S32760, The International Journal of Advanced Manufacturing Technology 117, pp. 1633–1644, 2021.

Bartarya, G., Choudhury, S. K.: Effect of cutting parameters on cutting force and surface roughness during finish hard turning AISI52100 grade steel, Procedia CIRP 1, pp. 651–656, 2012.

Ozel, T., Karpat, Y.: Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks, International Journal of Machine Tools and Manufacture 45, pp. 467–479, 2005.

Rehor, J., Fulemova, J., Kutlwaser, J., Gombar, M., Harnicarova, M., Kusnerova, M., Vagaska, A., Povolny, M., Valicek, J., Zatloukal, T.: ANOVA analysis for estimating the accuracy and surface roughness of precisely drilled holes of steel 42CrMo4 QT, The International Journal of Advanced Manufacturing Technology 126, pp. 675–695, 2023.

Kundrak, J., Molnar, V., Deszpoth, I.: Comparative analysis of machining procedures, Machines 6(2), art no 13, 2018.

Grzesik, W., Zak, K., Kiszka, P.: Comparison of surface textures generated in hard turning and grinding operations, Procedia CIRP 13, pp. 84–89, 2014.

Molnar V.: Tribological properties and 3D topographic parameters of hard turned and ground surfaces, Materials 15(7), art no 2505, 2022.

Molnar V.: Asymmetric height distribution of surfaces machined by hard turning and grinding, Symmetry 14(8), art no 1591, 2022.

Poulachon, G., Moisan, A. L.: Hard turning: chip formation mechanisms and metallurgical aspects, Journal of Manufacturing Science and Engineering 122(3), pp. 406–412, 2000.

Farsky, J., Baksa, T., Zetek, M.: Grinding of maraging steel 1.2709 with SiC grinding wheels and effect of grinding conditions on the surface roughness and wear of the wheels, Manufacturing Technology 20(1), pp. 18–22, 2020.

Pytlak, B.: The roughness parameters 2D and 3D and some characteristics of the machined surface topography after hard turning and grinding of hardened 18CrMo4 steel, Archives of Mechanical Technology and Automation 31(4), pp. 53–62, 2011.

Linins, O., Krizbergs, J., Boiko, I.: Surface texture metrology gives a better understanding of the surface in its functional state, Key Engineering Materials 527, pp. 167–172, 2013.

Kundrak J., Deszpoth I., Molnar V.: Decision support method for the applicability of hard turning, Cutting and Tools in Technological System 96, pp. 110–120, 2022.

Zawada-Tomkiewicz, A.: Analysis of surface roughness parameters achieved by hard turning with the use of PCBN tools, Estonian Journal of Engineering 17, art no 88, 2011.

Novak, M.: Surface quality of hardened steels after grinding, Manufacturing Technology 11(1), pp. 55–59, 2011.

Kundrak, J., Molnar, V., Markopoulos, A.P.: Joint machining: Hard turning and grinding, Cutting and Tools in Technological System 90, pp. 36–43, 2019.

Molnar, V., Szabo, G.: Designation of minimum measurement area for the evaluation of 3D surface texture, Journal of Manufacturing Processes 83, pp. 40–48, 2022.

Downloads

Published

2023-05-25

Issue

Section

Mechanical processing of materials, the theory of cutting materials, mathematical and computer simulation of machining p