SELECTION OF OPTIMAL TECHNOLOGICAL PARAMETERS FOR FORMING NOMINALLY FLAT SURFACES WITH LUBRICATING MICROCAVITIES

Viktor P. Kuznetsov, Igor V. Tatarintsev, Vladimir V. Voropaev, Andrei V. Korelin

DOI Number
https://doi.org/10.22190/FUME231215004K
First page
459
Last page
471

Abstract


This article demonstrates a multi-step process for forming a nominally flat surface with circumferential lubricating microcavities on a tribological assembly of an Х38CrSi steel shaft. The process includes finish turning, preliminary strengthening burnishing, deformation profiling of microcavities by a honing stone and smoothing of microprotrusions. The study determines the optimal technological parameters for each of the transitions based on microhardness and oil absorption power maximization, as well as roughness and periodic impact minimization. The process optimization is conducted using the Tagichi experiment design method. The optimal combination of technological parameters for hardening burnishing was discovered to be: normal force F = 200 N; feed rate f = 0.025 mm/rev and three tool passes. These burnishing parameters practically eliminate the influence of periodic impacts at spatial frequencies determined by the tool feed rate and the number of spindle rotations during turning. We determined suitable honing stone grit parameters and application force that yield microcavities 3.8 to 8.1 μm in depth, as well as the optimal parameters for smoothing of microprotrusions, resulting in a bearing area roughness of Sa = 0.15 µm and oil absorption power of 13.74×10–5 mm3/mm2.

Keywords

Nominally flat surface, Lubricating microcavities, Burnishing, Deformation profiling, Microhardness, Roughness

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References


Pawlus, P., Reizer, R., Wieczorowski, M., 2021, Analysis of surface texture of plateau-honed cylinder liner - A review, Precision Engineering, 72, pp. 807-822.

Koszela, W., Pawlus, P., Rejwer, E., Ochwat, S., 2013, Possibilities of oil pocket creation by the burnishing technique, Archives of civil and mechanical engineering, 13(4), pp. 465-471.

Mezghani, S., Demirci, I., Yousfi, M., Mansori, E.M., 2013, Running-in wear modeling of honed surface for combustion engine cylinder liners, Wear, 302(1-2), pp. 1360-1369.

Zhang, Y.K., Yang, C.J., Fu, Y.H., Zhou, J.Z., Hua, X.J., Ji, J.H., 2008, Surface texturing technology by laser honing based on hydrodynamic lubrication, Key Engineering Materials, 359-360, pp. 340-343.

Molnár, V., 2022, Tribological properties and 3D topographic parameters of hard turned and ground surfaces, Materials, 15(7), 2505.

Molnár, V., 2022, Wear resistance of hard turned surfaces, Cutting and Tools in Technological System, 96, pp. 65-72.

Nadolny, K., Kapłonek, W., 2014, Analysis of flatness deviations for austenitic stainless steel workpieces after efficient surface machining, Measurement Science Review, 14(4), pp. 204-212.

Kuznetsov, V.P., Makarov, A.V., Psakhie, S.G., Savrai, R.A., Malygina I.Yu., Davydova N.A., 2014, Tribological aspects in nanostructuring burnishing of structural steels, Physical Mesomechanics, 17, pp. 250–264.

Patel, N.S., Parihar, P.L., Makawana, J.S., 2021, Parametric optimization to improve the machining process by using Taguchi method: a review, Materials Today: Proceedings, 47(11), pp. 2709-2714.

Sakthivelu, S., Anandaraj, T., 2017, Prediction of optimum machining parameters on surface roughness and MRR in CNC drilling of AA6063 alloy using design of experiments, International Journal of Engineering Research & Technology, 5 (13), pp. 1-5.

Krishnaprakasha, P., Pavitra, A., 2018, Optimization of drilling parameters on surface roughness of Al 1200-SiC composites using Taguchi analysis, IOSR Journal of Mechanical and Civil Engineering, 15(3), pp. 77-84.

Patel, R., Patel, S., Patel, P., Parmar, P., Vohra, J., 2021, Optimization of machining parameters for En8D carbon steel by Taguchi orthogonal array experiments in CNC turning, Materials Today: Proceedings, 44(1), pp. 2325-2329.

Kuznetsov, V.P., Dmitriev, A.I., Anisimova, G.S., Semenova, Yu.V., 2016, Optimization of nanostructuring burnishing technological parameters by Taguchi method, IOP Conference Series: Materials Science and Engineering, 124, 012022.

Kuznetsov, V.P., Gorgots, V.G., Vorontsov, I.A., Skorobogatov, A.S., Kosareva, A.V., 2023, Surface hardening of medical parts made of AISI 304 austenitic stainless steel by nanostructuring burnishing, AIP Conference Proceedings, 2899, 020085.

Jacobs, T., Judge, T., Pastewka, L., 2017, Quantitative characterization of surface topography using spectral analysis, Surface Topography: Metrology and Properties, 5, 013001.

Peresadko, A.G., Hosoda, N., Persson, B.N.J., 2005, Influence of surface roughness on adhesion between elastic bodies, Physical Review Letters, 95, 124301.

Pohrt, R., Popov, V.L., 2012, Normal contact stiffness of elastic solids with fractal rough surfaces Physical Review Letters, 108, 104301.

Popov, V.L., Pohrt, R., 2018, Adhesive wear and particle emission: Numerical approach based on asperity-free formulation of Rabinowicz criterion, Friction, 6, pp. 260–273.

Żak, K., 2018, Fractal and frequency based analysis of rough surfaces produced by different machining operations on hardened alloy steel parts, Advances In Manufacturing Science And Technology, 42(1-4), pp. 43-53.

Martins, A.M., Oliveira, D.A., de Castro Magalhães, F., Abrão, A.M., 2023, Relationship between surface characteristics and the fatigue life of deep rolled AISI 4140 steel, The International Journal of Advanced Manufacturing Technology, 129, pp. 1127-1143.

International Organization for Standardization, 2003, Geometrical Products Specifications (GPS) – Flatness – Part 1: Vocabulary and parameters of flatness. ISO/TS 12781-1:2003.

Popov, M., 2021, Friction under large-amplitude normal oscillations, Facta Universitatis-Series Mechanical Engineering, 19(1), pp. 105-113.

Zinoviev, A., Balokhonov, R., Zinovieva, O., Romanova, V., 2022, Computational parametric study for plastic strain localization and fracture in a polycrystalline material with a porous ceramic coating, Mechanics of Advanced Materials and Structures, 29(16), pp. 2390-2403.




DOI: https://doi.org/10.22190/FUME231215004K

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