Next Article in Journal
A Review of Proposed Models for Cutting Force Prediction in Milling Parts with Low Rigidity
Next Article in Special Issue
Optimizing Machining Efficiency in High-Speed Milling of Super Duplex Stainless Steel with SiAlON Ceramic Inserts
Previous Article in Journal
Advances and Trends in Non-Conventional, Abrasive and Precision Machining 2021
Previous Article in Special Issue
Milling Force Modeling Methods for Slot Milling Cutters
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Investigation of Residual Stresses after the Turning of High-Tempered Bearing Steel

1
Faculty of Mechanical Engineering, University of Žilina, Univerzitná 1, 01026 Žilina, Slovakia
2
Faculty of Mechanical Engineering, VŠB—Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava, Czech Republic
*
Author to whom correspondence should be addressed.
Machines 2024, 12(2), 139; https://doi.org/10.3390/machines12020139
Submission received: 23 January 2024 / Revised: 13 February 2024 / Accepted: 14 February 2024 / Published: 17 February 2024
(This article belongs to the Special Issue Recent Advances in Surface Integrity with Machining and Milling)

Abstract

:
This study is focused on analysing residual stresses (RSs) after turning high-tempered bearing steel through the use of the X-ray diffraction (XRD) technique. Phase transformations expressed in terms of the near-surface white layer (WL) and the corresponding microhardness profiles are correlated with the RSs as well as the depth of the RS profiles. Normal and shear components of RS and FWHM (full width at half maximum) of the diffraction peaks are analysed as a function of cutting insert flank wear as well as the cutting speed. It was found that the influence of tool wear prevails over cutting speed, RSs tend to shift into the compressive region with increasing tool flank wear, and the valuable shear components of RSs can be found in the near-surface region when the cutting inserts of lower flank wear are employed. The increasing flank wear also increases the depth in which the compressive RSs can be found. Furthermore, surface RSs are affected by the phase transformation process (formation of re-hardened WL) as well as the superimposing mechanical and thermal load.

1. Introduction

RSs are of vital importance with respect to the functionality of components during operation. The surfaces exposed to the cyclic load require compressive RSs not only in the near-surface layer but in the deeper layers as well since the maximum Hertz pressure can be found at a certain distance beneath the free surface [1]. The final state of RSs is very often produced during the finishing cycles, such as grinding, turning, superfinishing, etc. The development of machine tools, as well as process technology, has increased the industrial relevance of finishing turning [2], which can be used as a substitute for the grinding cycles. Hard turning can produce a very good surface state that can be expressed in terms of surface roughness [3,4,5] and the depth extent of microstructure transformations as well as RSs. However, progressively developed tool wear (especially the flank wear VB (Verhandlungs basis)) should be considered as a risk factor [6]. RSd initiated by turning cycles are due to the following:
-
The non-homogenous plastic deformation of the neighbouring layers (compressive RS);
-
The non-homogenous thermal expansion of the neighbouring layers (tensile RS);
-
Phase transformation (compressive or tensile RS);
-
A combination of the aforementioned aspects.
The turning cycles of high-tempered steels can produce a WL of variable thickness depending on the cutting conditions and, mainly, the development of flank wear VB [6,7,8]. For this reason, all of the aforementioned aspects initiating RSs should be considered. Therefore, the final RSs are e driven by their superimposing contribution. The amplitude and the direction of RSs in the different layers beneath the free surface depend on the prevailing effects listed above. Moreover, the RS state cannot be considered uniaxial, but instead, due to the remarkable differences in RSs, the cutting and feed directions should be taken into account as a result of unbalanced cutting and feed speeds. The strong imbalance with respect to process kinematics results in the preferential orientation of the matrix in the near-surface layer [6,8].
The term hard machining (hard turning) is usually associated with steels with a hardness above 50 HRC [2,6,7]. On the other hand, some aspects predominant in hard turning cycles can be found during the machining of hardened steels below this threshold as well. The formation of a surface WL (as a re-hardened matrix) [7,9] is frequently linked with the hard turning process. The WL is a product of high temperatures (exceeding the austenitising ones) followed by rapid self-cooling when VB exceeds the critical threshold [7,10,11]. RS produced by hard turning is a function of VB, cutting edge geometry, component hardness, etc. [7,12,13]. Insert flank wear VB can remarkably alter the amplitude of RSs as well as their penetration beneath the free surface [12,13].
High-tempered steel is a progressive material with an outstanding combination of mixed hardness and toughness. However, the functionality of components made of these steels especially depends on the surface state [14] expressed in terms such as RS profile, phase transformation in the near-surface layer, its phase composition, microhardness, etc. [2,12,15]. Turning operations are usually performed under constant cutting conditions. However, flank wear VB (associated with mechanical and thermal loads), as well as the corresponding stress and microstructure of the machined surface state, can vary remarkably [10,16].
This study investigates the specific character of the residual stress state with respect to the presence of shear stress. Apart from stress states, microstructure alterations in the near-surface region were also studied in terms of WL thickness or/and WL hardness. The above-listed components of surface integrity were investigated as a function of cutting speed as well as flank wear area. Their depth gradients are discussed with respect to phase transformation and non-uniform mechanical and thermal loads during hard cycles.

2. Materials and Methods

The experimental study was carried out on heat-treated bearing steel 100Cr6 with a hardness of 40 ± 1 HRC. The heat treatment of the samples was carried out under industrial conditions. Samples in the form of a disk with an external diameter of 145 mm, an internal diameter of 25 mm and a width of 25 mm were quenched in oil at a temperature of 60 °C after reaching an austenitising temperature of 840 °C and tempered for 2 h afterwards at a temperature of 530 °C. Hard face turning was carried out through the use of cutting insert DNGA 150408 made of PCBN (CBN particles, 3 ÷ 5 μm; CBN content, 70%; TiN coating) with a 0.8 mm nose radius and a chamfer angle of −35° (chamfer width: 250 μm). Inserts of variable flank wear VB (in the range from 0.05 to 0.8 mm) were prepared prior to the experiment during hard turning.
Hard turning operations are not usually performed with insert flank wear VB above 0.4 mm in order to avoid excessive cutting forces and corresponding instability in the machining. On the other hand, VB is a major factor affecting the thickness of WL as well as the penetration of RSs beneath the free surface. For this reason, quite large VB were employed. A cutting depth of ap = 0.25 mm and a feed of f = 0.09 mm (the feed direction corresponds with the axial direction on the turned surface) were kept constant. The rotational speed of the spindle was also kept constant, resulting in a variable cutting speed through the disk diameter during face turning, as shown in Figure 1. The cutting speed vc varied from 70 m.min−1 at a distance of approx. 8 mm from the inner diameter up to 230 m.min−1 at a distance of approx. 8 mm from the outer diameter.
The RSs were measured in the tangential direction (direction of vc, which is referred to as RST) as well as in the perpendicular axial direction (direction of f, which is referred to as RSA), as shown in Figure 1. Apart from the normal component of the RSs, shear was analysed as well. The RS shear components are referred to as RSST in the tangential direction and RSSA in the axial direction. The determination of RSs was performed using the XRD technique carried out on a Proto iXRD Combo diffractometer using CrKα radiation. The average effective penetration depth of the XRD measurements was ~5 μm, with a scanning angle of ±39° and a Bragg angle of 156.4°. The residual stress was calculated by examining the shifts in <211> reflection. The Winholtz and Cohen method and X-ray elastic constants ½S2 = 5.75 TPa−1, S1 = −1.25 TPa−1 were used for residual stress determination. In order to analyse the stress gradients beneath the free surface, layers of the material were gradually removed via electro-chemical polishing. The thickness of the layer removed during electro-chemical polishing was measured using the MarCator 1086R digital indicator with a precision of 0.0005 mm.
To reveal the microstructural transformations induced by hard milling, 10 mm long pieces were prepared for metallographic observations (etched using 5% Nital for 8 s). The microstructure was observed in the direction of the cutting speed. Microhardness measurements of HV0.05 in the WL were carried out in the case of samples turned by the insert of VB = 0.8 mm since the thickness of the WL was sufficient enough for such measurements. Microhardness measurements for other samples turned by the inserts of lower VB were not carried out due to the insufficient thickness of WL. Microhardness measurements HV0.05 were carried out using Innova Test 400TM (50 g load; dwell time, 10 s).
Cutting force components Fc and Fp were measured through the use of the Kistler 9441 dynamometer (Kistler, Winterthur, Switzerland). The measured components were decomposed in order to extract the shear Fαt and normal components Fαtn of Fα as the net energy consumed in the VB region separated from the energy consumed for chip formation and associated with Fγ. Further details and the methodology of this decomposition can be found in the previous reports [10,17].

3. Results of Experiments and Their Discussion

Figure 2 demonstrates that VB remarkably affects the amplitude of RSs as well as their extent in terms of depth. More developed VB tends to shift the surface RST from the tensile region towards the compressive RST. On the other hand, the evolution of surface RSs is not monotonous and straightforward due to the contribution of the non-linear evolution of cutting edge geometry with VB and the corresponding mechanical and thermal load of the surface. RS profiles for VB = 0.6 mm are positioned near those of VB = 0.2 mm since the evolution of the normal components Fαtn of Fα exhibits a local minimum beyond VB = 0.4 mm [17] (see Table 1) due to the abrupt change in the evolution of the cutting edge geometry in this region (see the previous study in which the cutting edge geometry evolution, expressed in terms of rake angle γn, cutting edge radius rn, and evolution of Fαtn, is reported [10,17]). It was found that the initial negative rake angle of γn = −35° for the new insert turns to a nearly zero geometry for the insert of VB = 0.4 mm, followed by a certain drop to a more negative geometry afterwards. However, this drop is compensated by the steep increase in cutting edge radius rn, as shown in Figure 3.
Progressively developed VB initiates phase transformation in the near-surface region when the matrix is heated above the austenitising temperature, followed by rapid self-cooling [18,19,20]. Such a thermal cycle produces a re-hardened WL, see Figure 4. The thickness of WL increases with VB; however, WL thickness exhibits a local minimum at VB = 0.6 mm (see Figure 5), and the evolution of the WL correlates with the evolution of normal and shear components of Fα and the associated alterations in cutting edge geometry, as shown in Figure 3. It should also be mentioned that the surface RS for VB = 0.8 mm is less compared to that of VB = 0.4 mm (see Figure 2a,b). The main reason can be viewed as the stress release due to the phase transformation when a certain energy associated with the non-homogeneity in the near-surface heating and stressing is consumed due to matrix dynamic recovery during rapid self-cooling. It is also worth mentioning that a WL can be found on the surfaces for all VB. However, the thickness of the WL is usually far below the sensing depth of the XRD technique apart from that of VB = 0.4 mm, which is quite close to the sensing depth (see Figure 5). Therefore, it is considered that the degree of surface stress relaxation grows with WL thickness.
Figure 2 also depicts the region in which RS is changed with respect to the bulk stress widening with VB, and the amplitude of compressive RS in the deeper layers increases with VB as well. On the other hand, the amplitude of compressive RSA is greater compared with RST due to the contribution of the kinematics of the turning process (the cutting speed vc is one order higher compared with the feed speed), preferential matrix orientation in the tangential direction [6,8] which, in turn, corresponds with the remarkable stress anisotropy [8].
Figure 6 demonstrates that the contribution of the variable cutting speed vc is only minor, and the influence of VB remarkably prevails. Nearly the same RS profiles for the different vc can be found for all inserts of variable VB.
Figure 7a shows that FWHMT progressively decreases with respect to the increasing depth below the free surface for all VB. It can also be noted that the FWHMT measured directly on the free surface is strongly dependent on WL thickness when the high WL thickness can be linked with the thick WL and vice versa. Moreover, the depth at which the valuable increase in FWHMT above the untouched bulk can be found increases with WL thickness. However, this parameter is mainly a function of dislocation density, and no valuable directional anisotropy for FWHM measured in the direction of the cutting and feed speeds can be found.
The evolution of RSST is quite interesting, as shown in Figure 7b. The surface RSST are indirectly proportional to WL thickness. RSST profiles for the thin WL (for VB = 0.05 and VB 0.1 mm) exhibit the highest surface negative RSST and rapid decrease toward the bulk. RSST profiles for the WL of medium thickness (for VB = 0.2 and VB = 0.6 mm) exhibit medium surface negative RSST and a certain increase in the amplitude in the subsurface layers followed by a progressive decrease in the deeper region. Finally, RSST seem to be relaxed when the thickness of the WL is comparable to or higher than the XRD sensing depth, followed by a moderate increase in negative RSST in the deeper layers. On the other hand, RSSA exhibit no valuable evolution, and RSSA values more or less randomly fluctuate with respect to VB, vc, and depth. Deeper insight into RSSs and the physical interpretation of this parameter with respect to the turning process and the matrix produced is unclear in the current state of the art.
The XRD technique can be used in a destructive manner when depth profiles are analysed. On the other hand, XRD patterns can also be employed in a non-destructive manner when the information from the near-surface region only (which thickness corresponds to its sensing depths) is carried out. Figure 8 and Figure 9 and Table 2 demonstrate the potential of the different XRD parameters for non-destructive monitoring of WL thickness. Figure 8a shows that the surface RST shifts from the tensile region towards the compressive region with increasing WL thickness (nearly the same evolution can be found for the axial direction). However, this evolution saturates when the XRD sensing depth attains the WL thickness as a result of the more developed stress relaxation in the case of a thick WL. A similar evolution expressed in terms of the correlation coefficient ρp can be found for RSST (see Figure 9a) and zero correlation for RSSA due to the random fluctuation of this parameter with respect to VB, vc, and depth (see Figure 9b). The best correlation can be found between FWHM and WL thickness, as shown in Figure 8b.
FWHM is the XRD parameter usually associated with matrix hardness, which is less dependent on the stress state and more correlated with dislocation density [21,22,23]. The WL thickness for VB = 0.8 mm is thick enough to carry out the microhardness measurements inside the WL layer, and the HV0.05 profiles are illustrated in Figure 10. This figure demonstrates that the microhardness of the WL increases with decreasing depth due to the lower thermal load and, therefore, the higher rate of rapid self-cooling [24,25]. The influence of vc is only minor, and the microhardness falls quite steeply toward depth. This figure also depicts that the remarkably altered RS and FWHM values penetrate much deeper compared to the HV0.05 depth profiles (see also Figure 2). Therefore, correlation analysis between FWHM and HV0.05 (as shown in Figure 11) should be executed at a limited depth (about 55 μm). On the other hand, Figure 7 clearly demonstrates that the steep fall of FWHMT can be found just in this region. The further drop of FWHMT for VB = 0.8 mm beyond this threshold in Figure 7 is moderate only. Figure 11 demonstrates quite good correlation between HV0.05 and FWHMT (a similar evolution can be found for the axial direction as well), and the correlation coefficient ρp is close to that indicated in Figure 8b. Comparing Figure 7 and Figure 11, it can be noticed that FWHM exhibits a lack of sensitivity against WL thickness for VB = 0.8 mm with respect to variable vc, but this parameter is sensitive to its hardness expressed in the term HV0.05.
Figure 2 shows that the non-homogenous heating of different layers beneath the free surface prevails over the mechanical one since the surface RST are tensile when WL thickness is low. However, these RST are quite rapidly transformed into compressive ones. The contribution of phase transformation is limited due to the low WL thickness. Thermal load is driven by the specific heat Qα, as reported in the previous study [17]. This parameter takes into account the generated heat Qα = Fαt. vc, as well as the duration of surface heating τ (for further detail, check [14]). On the one hand, increasing VB makes the time within the surface exposed to heat longer. On the other hand, vc increases the produced heat but shortens τ. The shift of the surface RST for a thicker WL (VB = 0.4 and 0.8 mm) is due to the higher rate of normal component Fαtn growth along with VB compared to that of Fαt [10,17], as shown in Table 2. For this reason, non-homogenous plastic deformation dominates over thermal heating in the case of VB = 0.4 mm and VB = 0.8 mm, and the compressive surface of RST can be found. Although the phase transformation associated with WL formation consumes certain stress (as mentioned above), the Fαtn component still dominates over Fαt, which is attributed to the thermal load via Qα.
RST in the deeper layers are compressive, which indicates that the contribution of surface heating is vanishing and that the amplitude of the compressive RST, as well as their penetration depth, is driven mainly in the case of Fαtn. In order to carry out the exact correlation analysis between the Fαtn and RST profiles, the parameters indicated in Figure 12 were proposed and analysed (taking into account the bulk stress of −20 ± 8 MPa). Figure 13, as well as the correlation coefficients of ρp in Table 3, indicate that the thermal effect and the associated phase transformation have a more important role in the near-surface layer. For this reason, the ρp for SS is lower than that of MCS. Moreover, it seems that Fαtn mainly affects DMSC as well as DB. A similar analysis of RSA profiles as a function of Fαt and Fαtn is not possible since the shear component of Fα is not known in the axial direction. On the other hand, it is considered that this component should be remarkably lower due to the prevailing compressive RSA.

4. Conclusions

The main findings of this study can be summarised as follows:
-
Progressively developed VB tends to shift the surface RST from the tensile towards the compressive region;
-
Progressively developed VB increases the amplitude of compressive RSA;
-
Phase transformations associated with WL formation release certain stresses and contribute to the decrease in surface RSs when WL thickness is comparable with the XRD sensing depth;
-
The FWHM parameter of XRD exhibits the best correlation with WL thickness as well as its hardness;
-
Non-homogenous plastic deformation of the different layers beneath the surface prevails over the thermal effect in the deeper region mainly, and the penetration depth of compressive RST strongly correlates with Fαtn.
Hard tuning cycles are very often employed early after heat treatment in order to improve the shape and geometry precision of the components. However, the final state of the surface is ground, and the combination of these competitive processes results in a reduction in time sequences during manufacturing together with an acceptable surface state. Avoiding the grinding and employment of hard turning cycles for finishing cycles might be carefully considered due to high stress and microstructure gradient in the near-surface layers. Furthermore, it should also be considered that progressively developing tool wear contributes to the surface alterations, and certain differences in surface state can be detected during the long-term usage of cutting edges. Finally, deeper penetration of the microstructure, as well as residual stress state alterations during roughing cycles, should also be avoided since the vestiges of the roughing cannot be fully removed in all cases due to the limited allowances for finishing grinding.

Author Contributions

Conceptualisation, M.Č. and A.M.; methodology, M.Č., J.U. and R.Č.; software, B.M., A.M.; validation, R.Č. and B.M.; formal analysis, R.Č., A.M. and B.M.; investigation, M.Č., M.N. and A.M.; resources, A.M. and R.Č.; data curation, J.U. and B.M.; writing—original draft preparation, M.Č., M.N. and A.M.; writing—review and editing, M.N. and A.M.; visualisation, A.M., B.M. and J.U.; supervision, M.Č. and R.Č.; project administration, M.Č. and R.Č.; funding acquisition, R.Č. and A.M. All authors have read and agreed to the published version of the manuscript.

Funding

The authors gratefully acknowledge the financial support provided by VEGA project n. 1/0052/22.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data required to reproduce these findings cannot be shared easily due to technical limitations (some files are too large). However, authors can share the data on any individual request (please contact the corresponding author by the use of its mailing address).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Guo, Z.; Hao, M.; Jiang, L.; Li, D.; Chen, Y.; Dong, L. A modified Hertz model for finite spherical indentation inspired by numerical simulations. Eur. J. Mech. A/Solids 2020, 83, 104042. [Google Scholar] [CrossRef]
  2. Tönshoff, H.K.; Arendt, C.; Ben Mor, R. Cutting of hardened steel. CIRP Ann. 2000, 49, 547–564. [Google Scholar] [CrossRef]
  3. Molnar, V. Influence of Cutting Parameters and Tool Geometry on Topography of Hard Turned Surfaces. Machines 2023, 11, 665. [Google Scholar] [CrossRef]
  4. Gundarneeya, T.P.; Golakiya, V.D.; Ambaliya, S.D.; Patel, S.H. Experimental investigation of process parameters on surface roughness and dimensional accuracy in hard turning of EN24 steel. Mater. Today 2022, 57, 674–680. [Google Scholar] [CrossRef]
  5. Felho, C.; Varga, G. Theoretical Roughness Modeling of Hard Turned Surfaces Considering Tool Wear. Machines 2022, 10, 188. [Google Scholar] [CrossRef]
  6. Guo, Y.B.; Sahni, J. A comparative study of hard turned and cylindrical ground white layers. Int. J. Mach. Tool Manuf. 2004, 44, 135–145. [Google Scholar] [CrossRef]
  7. Bandt, D. Randzonenbeeinflussung beim Hartdrehen. Ph.D. Dissertation, Universität Hanover, Hanover, Germany, 1995. [Google Scholar]
  8. Neslušan, M.; Mičietová, A.; Hadzima, B.; Mičieta, B.; Kejzlar, P.; Čapek, J.; Uríček, J.; Pastorek, F. Barkhausen noise emission in hard-milled surfaces. Materials 2019, 12, 660. [Google Scholar] [CrossRef] [PubMed]
  9. Wang, J.Y.; Liu, C.R. The effect of tool flank wear on the heat transfer, thermal damage and cutting mechanics in finishing hard turning. CIRP Ann. 1999, 48, 53–58. [Google Scholar] [CrossRef]
  10. Neslušan, M.; Uríček, J.; Mičietová, A.; Minárik, P.; Píška, M.; Čilliková, M. Decomposition of cutting forces with respect to chip segmentation and white layer thickness when hard turning 100Cr6. J. Manuf. Proc. 2020, 50, 475–484. [Google Scholar] [CrossRef]
  11. Chaudhari, R.G.; Hashimoto, F. Process controls for surface integrity generated by hard milling. Procedia CIRP 2016, 45, 15–18. [Google Scholar] [CrossRef]
  12. Matsumoto, Y.; Hashimoto, F.; Lahoti, G. Surface integrity generated by precision hard turning. CIRP Ann. 1999, 48, 59–82. [Google Scholar] [CrossRef]
  13. Bedekar, V.; Voothaluru, R.; Bunn, J.; Hyde, R.S. Measurement and prediction of through-section residual stresses in the manufacturing sequence of bearing components. CIRP Ann. 2019, 68, 57–60. [Google Scholar] [CrossRef]
  14. Agha, S.R.; Liu, C.R. Experimental study on the performance of superfinish hard turned surfaces in rolling contact. Wear 2000, 244, 52–59. [Google Scholar] [CrossRef]
  15. Hashimoto, F.; Guo, Y.B.; Waren, A.W. Surface integrity difference between hard turned and ground surfaces and its impact of fatigue life. CIRP Ann. 2006, 55, 81–84. [Google Scholar] [CrossRef]
  16. Kataoka, R.; Shamoto, E. A new hypothesis of steady-state flank wear progression of cutting tools with similar geometry and its verification. Precis. Eng. 2023, 81, 183–191. [Google Scholar] [CrossRef]
  17. Čilliková, M.; Mičietová, A.; Čep, R.; Jacková, M.; Neslušan, M.; Kouřil, K. Analysis of Surface State after Turning of High Tempered Bearing Steel. Materials 2022, 15, 1718. [Google Scholar] [CrossRef]
  18. Hosseini, S.B.; Klement, U.; Yao, Y.; Ryttberg, K. Formation mechanisms of white layers induced by hard turning of AISI 52100. Acta Mater. 2015, 89, 258–267. [Google Scholar] [CrossRef]
  19. Bedekar, V.; Shivpuri, R.; Chaudhari, R.; Scott Hyde, R. Nanostructural evolution of hard turning layers in response to insert geometry, cutting parameter and material microstructure. CIRP Ann. 2013, 62, 63–66. [Google Scholar] [CrossRef]
  20. Li, J.G.; Umemoto, M.; Todaka, Y.; Tuschiya, K. Nanocrystalline structure formation in carbon steel introduced by high speed drilling. Mater. Sci. Eng. A 2006, 435–436, 383–388. [Google Scholar] [CrossRef]
  21. Mittemeijer, E.J.; Scardi, P. Diffraction Analysis of the Microstructure of Materials, 1st ed.; Springer-Verlag: Berlin/Heidelberg, Germany, 2004. [Google Scholar]
  22. Ayers, J.E. The measurement of threading dislocation densities in semiconductor crystals by X-ray diffraction. J. Cryst. Growth 1994, 135, 71–77. [Google Scholar] [CrossRef]
  23. Ungár, T.; Borbély, A. The effect of dislocation contrast on x-ray line broadening: A new approach to line profile analysis. Appl. Phys. Lett. 1996, 69, 21. [Google Scholar] [CrossRef]
  24. Li, D.; Dong, H.; Wu, K.; Isayev, O.; Hress, O.; Yershov, S. Effects of cooling after rolling and heat treatment on microstructures and mechanical properties of Mo–Ti microalloyed medium carbon steel. Mater. Sci. Eng. A 2020, 773, 138808. [Google Scholar] [CrossRef]
  25. Anijdana, S.H.M.; Sediako, D.; Yuea, S. Optimization of flow stress in cool deformed Nb—Micro alloyed steel by combining strain induced transformation of retained austenite, cooling rate and heat treatment. Acta Mater. 2012, 60, 1221–1229. [Google Scholar] [CrossRef]
Figure 1. Brief sketch as well as the real photo of the sample with indicated directions of feed and cutting speeds. (a) brief sketch; (b) the real photo.
Figure 1. Brief sketch as well as the real photo of the sample with indicated directions of feed and cutting speeds. (a) brief sketch; (b) the real photo.
Machines 12 00139 g001
Figure 2. RS profiles as a function of VB, vc = 100 m.min−1. (a) RST; (b) RSA.
Figure 2. RS profiles as a function of VB, vc = 100 m.min−1. (a) RST; (b) RSA.
Machines 12 00139 g002
Figure 3. Rake angle γn and cutting edge radius rn as a function of VB.
Figure 3. Rake angle γn and cutting edge radius rn as a function of VB.
Machines 12 00139 g003
Figure 4. Some metallographic images of the machined surfaces, vc = 200 m.min−1. (a) VB = 0.05 mm; (b) VB = 0.4 mm; and (c) VB = 0.8 mm.
Figure 4. Some metallographic images of the machined surfaces, vc = 200 m.min−1. (a) VB = 0.05 mm; (b) VB = 0.4 mm; and (c) VB = 0.8 mm.
Machines 12 00139 g004
Figure 5. WL thickness as a function of VB and vc.
Figure 5. WL thickness as a function of VB and vc.
Machines 12 00139 g005
Figure 6. RS profiles in the tangential direction as a function of vc. (a) VB = 0.2 mm; (b) VB = 0.8 mm.
Figure 6. RS profiles in the tangential direction as a function of vc. (a) VB = 0.2 mm; (b) VB = 0.8 mm.
Machines 12 00139 g006
Figure 7. FWHMT of XRD diffraction peak and RSST as a function of VB, vc = 100 m.min−1. (a) FWHMT; (b) RSST.
Figure 7. FWHMT of XRD diffraction peak and RSST as a function of VB, vc = 100 m.min−1. (a) FWHMT; (b) RSST.
Machines 12 00139 g007
Figure 8. Surface RST and FWHMT versus WL thickness. (a) Surface RST versus WL thickness; (b) surface FWHMT versus WL thickness.
Figure 8. Surface RST and FWHMT versus WL thickness. (a) Surface RST versus WL thickness; (b) surface FWHMT versus WL thickness.
Machines 12 00139 g008
Figure 9. Surface RSS versus WL thickness. (a) RSST versus WL thickness; (b) RSSA versus WL thickness.
Figure 9. Surface RSS versus WL thickness. (a) RSST versus WL thickness; (b) RSSA versus WL thickness.
Machines 12 00139 g009
Figure 10. Microhardness HV0.05 profiles for VB = 0.8 mm.
Figure 10. Microhardness HV0.05 profiles for VB = 0.8 mm.
Machines 12 00139 g010
Figure 11. Microhardness HV0.05 versus FWHMT for VB = 0.8 mm.
Figure 11. Microhardness HV0.05 versus FWHMT for VB = 0.8 mm.
Machines 12 00139 g011
Figure 12. Parameters of the RS profile (red dots refer to the measured stress at certain distance below the free surface and red line represents the stress depth profile) correlated against Fαtn. SS—surface RS; MCS—maximum of compressive RS; DMCS—distance to the maximum of compressive RS; DB—distance to the bulk RS.
Figure 12. Parameters of the RS profile (red dots refer to the measured stress at certain distance below the free surface and red line represents the stress depth profile) correlated against Fαtn. SS—surface RS; MCS—maximum of compressive RS; DMCS—distance to the maximum of compressive RS; DB—distance to the bulk RS.
Machines 12 00139 g012
Figure 13. Correlation of parameters extracted from RST profiles versus Fαtn. (a) SS versus Fαtn; (b) DMCS versus Fαtn (ρp is the Pearson’s correlation coefficient and P is the probability of obtained results).
Figure 13. Correlation of parameters extracted from RST profiles versus Fαtn. (a) SS versus Fαtn; (b) DMCS versus Fαtn (ρp is the Pearson’s correlation coefficient and P is the probability of obtained results).
Machines 12 00139 g013
Table 1. Shear and normal components of Fα, as well as their ratio as a function of VB.
Table 1. Shear and normal components of Fα, as well as their ratio as a function of VB.
VB, mm0.050.10.20.40.60.8
Fαt, N5757748896134
Fαtn, N164163282372365684
Fαtn/Fαt, -2.872.863.814.233.805.10
Table 2. Correlation of the surface XRD parameters versus WL thickness expressed in terms of correlation coefficient ρp.
Table 2. Correlation of the surface XRD parameters versus WL thickness expressed in terms of correlation coefficient ρp.
RSRSSFWHM
Tangential direction−0.680.620.88
Axial direction−0.720.010.88
Table 3. Correlation of parameters extracted from RST profiles versus Fαtn expressed in terms of correlation coefficient ρp (presence of the bulk stress −20 ± 8 MPa taken into account).
Table 3. Correlation of parameters extracted from RST profiles versus Fαtn expressed in terms of correlation coefficient ρp (presence of the bulk stress −20 ± 8 MPa taken into account).
SSMCSDBDMCS
Correlation coefficient−0.53−0.720.900.93
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mičietová, A.; Čilliková, M.; Čep, R.; Mičieta, B.; Uríček, J.; Neslušan, M. An Investigation of Residual Stresses after the Turning of High-Tempered Bearing Steel. Machines 2024, 12, 139. https://doi.org/10.3390/machines12020139

AMA Style

Mičietová A, Čilliková M, Čep R, Mičieta B, Uríček J, Neslušan M. An Investigation of Residual Stresses after the Turning of High-Tempered Bearing Steel. Machines. 2024; 12(2):139. https://doi.org/10.3390/machines12020139

Chicago/Turabian Style

Mičietová, Anna, Mária Čilliková, Robert Čep, Branislav Mičieta, Juraj Uríček, and Miroslav Neslušan. 2024. "An Investigation of Residual Stresses after the Turning of High-Tempered Bearing Steel" Machines 12, no. 2: 139. https://doi.org/10.3390/machines12020139

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop