ANALYSIS OF THE SBI AND SVI FUNCTIONAL INDICES IN HARD MACHINING
Keywords:hard machining, grinding, surface texture.
The functional requirements of precision machined parts can be expressed among others by topography parameters. In the automotive industry there is an increased need for the application of high-accuracy quantifying parameters. In this study wear resistance and the fluid retention ability-related 3D surface texture parameters are analyzed based on hard turning and grinding experiments. The less frequently applied functional parameters (Sbi and Svi) are compared to the high-accuracy volume parameters (Vmp and Vvv) to obtain information about the reliability of the former ones. It was found that the correlation between the two types of parameters are quite weak.
Whitehouse, D.J.: Handbook of surface and nanometrology, Taylor & Francis, NY, 2011.
Deltombe, R., Kubiak, K.J., Bigerelle, M.: How to select the most relevand 3D roughness parameters of a surface, Scanning 36, pp150-160, 2014.
Mamalis, A.G., Kundrak, J., Horvath, M.: On a Novel Tool Life Relation for Precision Cutting Tools, Journal of Manufacturing Science and Engineering 127(2), pp.328-332, 2005.
Kundrak, J., Felho, Cs.: 3D Roughness Parameters of Surfaces Face Milled by Special Tools, Manufacturing Technology 16(3), pp.532-538, 2016.
Zawada-Tomkiewicz, A.: Analysis of surface roughness parameters achieved by hard turning with the use of PCBN tools, Estonian Journal of Engineering 17(1), pp.88-99, 2011.
Kundrak, J., Nagy, A., Markopoulos, A.P., Karkalos, N.E.: Investigation of surface roughness on face milled parts with round insert in planes parallel to the feed at various cutting speeds, Cutting & Tools and Technological System 91, pp.87-96, 2019, pp.87–96.
Grzesik, W., Zak, K., Kiszka, P.: Comparison of surface textures generated in hard turning and grinding operations, Procedia CIRP 13, pp.84–89, 2014.
Przestacki, D., Majchrowski, R., Marciniak-Podsadna, L.: Experimental research of surface roughness and surface texture after laser cladding, Applied Surface Science 388, pp.420–423, 2016.
Kumar, R., Seetharamu, S., Kamaraj, M.: Quantitative evaluation of 3D surface roughness parameters during cavitation exposure of 16Cr–5Ni hydro turbine steel, Wear 320, pp.16–24, 2014.
Aidibe, A., Nejad, M.K., Tahan, A., Jahazi, M., Cloutier, S.G.: A proposition for new quality 3D indexes to measure surface roughness, Procedia CIRP 46, pp.327–330, 2016.
Letocha, A., Miller, T., Kalisz, J.: Optimization of measurement and analysis parameters of burnishing surfaces, Mechanik 11, pp.1030-1034, 2017.
Grzesik, W., Zak, K., Kiszka, P.: Comparison of surface textures generated in hard turning and grinding operations, Procedia CIRP 13, pp.84–89, 2014. 13. Yu Gazizova, M., Smirnov, N.A., Kudryashov, S.I., Chen, J., Ahmadeev, Y.H., Goncharov, I.Y., Shugurov, V.V., Prokopenko, N.A.: Correlation of the tribological properties of LIPSS on TiN surface with 3D parameters of roughness, IOP Conf. Series: Materials Science and Engineering 1014, art no 012014, 2021.
Grzesik, W.: Prediction of the functional performance of machined components based on surface topography: state of the art, Journal of Materials Engineering and Performance 25(10), pp.4460–4468, 2016.
Suh, A.Y., Polycarpou, A.A., Conry, T.F.: Detailed surface roughness characterization of engineering surfaces undergoing tribological testing leading to scuffing, Wear 255, pp.556–568, 2003.
Longhai Special Steel. Available online: https://www.steelss.com/Carbon-steel/16mncr5.html (accessed on 10/09/2022).
Georgescu, C., Cristea, G.C., Dima, C., Deleanu, L.: Evaluating lubricating capacity of vegetal oils using Abbott-Firestone curve, IOP Conf. Series: Materials Science and Engineering 174, art no 012057, 2017.
Deleanu, L., Cantaragiu, A., Georgescu, C., Botan M.: Influence of measurements on 3D roughness parameters, Mechanical Testing and Diagnosis 1, pp.42-53, 2011.
Authors who publish with this Collection agree to the following terms:
1. Authors retain copyright and grant the Collection right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Collection.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Collection's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Collection.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.