Next Article in Journal
The Influence of Process Conditions and Reinforcement Characteristics on the Densification and Mechanical Properties of Powder Metallurgy SiCp/Al Composites
Previous Article in Journal
Glass Formation in the GeSe2–As2Se3–MeCh Systems (Me = Cu, Ag, Zn, Cd, Sn, Pb; Ch = S, Se, Te)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Energy Consumption in the Cutting Zone During Turning Bearing Steel 16MnCr5

Faculty of Mechanical Engineering, University of Žilina, Univerzitná 1, 010 26 Žilina, Slovakia
*
Author to whom correspondence should be addressed.
Materials 2025, 18(21), 5059; https://doi.org/10.3390/ma18215059
Submission received: 9 October 2025 / Revised: 30 October 2025 / Accepted: 31 October 2025 / Published: 6 November 2025
(This article belongs to the Section Metals and Alloys)

Abstract

This paper deals with the consumption of energy during the turning of low-alloyed steel 16MnCr5. The study employs the earlier reported methodology for the decomposition of energy in cutting during turning. The energy for chip formation, as well as the energy consumed in the interface between the tool flank and produced surfaces, can be singled out. The paper investigates the turning process as a function of the cutting conditions as well as the variable cutting edge geometry. It was found that the integration of a chip former valuably contributes to the lower chip ratios, as well as the more favourable shape of chips. The lower energy consumed in the tool flank region for the tool with the integrated chip former results in lower normal and shear forces despite the higher cutting edge radius. However, the differences in the surface strain accumulation expressed in terms of the dislocation density and residual stress depth profiles are only subtle.

1. Introduction

The turning process consumes energy, especially for plastic deformation in the cutting zone, whereas the energy for the elastic regime and/or friction is less demanding. Plastic deformation in the cutting zone can be separated into the energy required for chip separation and formation, and the energy necessary for the formation of the new surface. Three basic regions have to be considered with respect to the cutting zone during turning, and are linked with the energy consumption, those being (i) the energy necessary for dislocation shearing following the angle of primary plastic deformation, which is usually predominating (along vsh); (ii) the friction in the cutting insert rake and chip interface (along vch); and finally (iii) the friction in the insert flank and new formed surface region (along vc), as seen in Figure 1a. The first two components can be separated from the third component by using samples with a variable cutting depth [1] or by the measurement of cutting forces as a function of the cutting depth, as seen in Figure 1b (Equations (1) and (2), when Fαtn and Fαt are obtained from Figure 1b; Fp and Fc are measured). A certain idea about the energy consumed for chip separation can be obtained from the measurement of chip thickness and the corresponding chip ratio coefficient K, as discussed later [2,3].
F ¯ γ p = F ¯ p F ¯ α t n        ( N )
F ¯ γ c = F ¯ c F ¯ α t        ( N )
In contrast to the chip formation (which is linked with the dislocation motion along vsh), chip formation is linked with the further plastic deformation of the separated chip through the use of a suitable chip former. A chip former is employed in order to produce an acceptable chip shape, especially when the automated chip disposal from the cutting region is addressed. For this reason, the chip rake usually has quite a complicated geometry, which guarantees that chips of acceptable shape would be produced within a certain range of cutting conditions (especially feeds and cutting depths—well known as diagrams of chip formation). Two basic types can be used in real industrial applications, those being obstructive and groove ones. Chip formers are produced in a diversity of sizes and shapes for different applications with respect to the cutting conditions, technological processes, machined materials, etc. It is necessary to note that the application of a chip former also takes a certain role in chip separation, since the employment of a chip former alters the rake angle. These aspects take a significant role in chip thickness and its linked parameters, such as the angle of primary plastic deformation, chip speed, shear speed, etc. [3,4]. For these reasons, the chip separation and the chip formation are mutually connected processes that depend on each other.
Plastic deformation in the region of the tool flank is linked with the presence of flank wear and/or cutting edge wear, as illustrated in Figure 1a, or/and the presence of a certain cutting edge radius, rn, which cannot be avoided. On the contrary, a certain cutting edge radius is recommended in order to make the cutting edge more stable against microcracking or/and make tool wear lower [5,6]. Furthermore, the mechanical and linked thermal loads in this region are linked with the surface state expressed in such terms as the surface hardening measured by micro- or nano-indentation techniques [7,8], dislocation density calculated from the XRD patterns of KAM images [9,10], residual stress state [11,12], phase alterations [13,14], etc.
Plastic deformation during machining is a very complicated and complex process under elevated temperatures and extreme strain rates, when the distribution of temperature and stress fields is very heterogeneous. For this reason, strong stress and temperature gradients should be considered in order to avoid an oversimplification of the problems analysed. This study provides quite complex insights into the turning process in order to distinguish among the different regions mentioned earlier and discusses the influence of aspects of chip separation and formation, as well as the surface state.

2. Materials and Methods

Experiments were carried out on the annealed steel 16MnCr5 (of hardness 30.5 ± 2.2 HV1) in the form of a rod of diameter 75 mm. The rod initial runout of the as-received body and its corroder surface were removed during the preliminary phase of the turning process. The chemical composition of this steel is indicated in Table 1. The turning process was carried out on the lathe SUI 40 by using the tool holder NAREX PN 0524.0 25 × 25 and two different TNMA 220408 inserts: IC 20 (without a chip former or coating) and P15, with the chip former as well as TiN coating; see Figure 2. Further cutting conditions: dry turning, f = 0.09 ÷ 0.225 mm, ap = 0.25 ÷ 1 mm, vc = 50 ÷ 150 m.min−1. The insert’s cutting edge profiles are depicted in Figure 3.
The cutting edge geometry was measured by the Alicona 5 device (IF-Edge MasterModule, Bruker, Dallas, TX, USA). All extracted parameters were obtained by averaging 20 measurements. Table 2 compares the employed inserts with respect to their geometry. The components of the cutting force, Fc and Fp, were measured using the dynamometer Kistler 9441 (Kistler Instrumente GmbH, Sindelfingen, Germany) in the DasyLab software (measX GmbH & Co. KG, Moenchengladbach, Germany) (sampling frequency 2 kHz, low-pass filter 20 Hz). Chip thickness was measured by the light microscope Zeiss AxioCam MRc5 (ZEISS Group, Wetzlar, Germany) and Olympus SZx16 in the Quick Photo Industrial 3.0 software (Olympus Europa SE & Co. KG, Hamburg, Germany). The chips were not straightened before the measurements of their thickness. The chip thickness was measured in 20 positions (the consecutive measurements along the chip length spaced 5 mm from each to other). The measured positions were far away from the chip’s beginning as well as its end (about 30 mm). Calibration of the optics was carried out before the measurement by the measurement of a calibration sample of known thickness (0.52 mm).
Residual stress depth profiles were measured using the X-ray diffraction (XRD) technique. The XRD patterns were also employed for the assessment of dislocation density, having information about the FWHM (full width at half maximum) of the diffraction peak. XRD patterns were obtained along the cutting speed (CD) direction, as well as the transversal one along the feed direction (TD). All measurements were carried out by the Proto iXRD Combo diffractometer (Kα1 and Kα2 of {211} planes, CrKα, Winholtz and Cohen method, ½s2 = 5.75 TPa−1, s1 = −1.25 TPa−1).

3. Results and Their Discussion

3.1. Cutting Force Components

Figure 4 depicts the typical record of cutting force components Fp and Fc as a function of cutting depth, ap. Such records enable the extraction of these force components. The values of Fp and Fc are obtained at the end of each stage (bordered by blue lines) when the component values are stabilised. Fp is less than Fc at the higher ap, and both components drop down alongside cutting speed, vc, in the range from 19% (for the lower cutting depths) up to 23% (for the higher cutting depths) (see Figure 5 and Figure 6) due to the enhanced self-softening when the temperature in the cutting zone is increased with respect to the increasing heat flux. Such behaviour has been already proven by the measurements as reported earlier [15].
The Fp and Fc for IC 20 are more than those for P 15 (see Figure 5 and Figure 6), which in turn results in the lower Fαtn and Fαt (about 2.5 times higher for Fαt and 1.8 times higher for Fαtn) extracted from the obtained cutting force components using the aforementioned methodology depicted in Figure 1b (see Table 3). Furthermore, Figure 7 demonstrates that the components associated with chip formation and separation, Fγc and Fγp, are also lower for P 15 (about 30%) as compared with IC 20. The more significant drop in Fp and Fc for IC 20 when the cutting speed is increasing from 50 to 100 m.min−1 corresponds to the same behaviour with respect to Fαtn and Fαtn, as well as Fγc and Fγp (see Figure 5 and Table 3).

3.2. Chips Thickness and Shape

The diagrams of chip formation mainly show the function of feed f and cutting depth ap. Also, the aforementioned evolutions shown in Table 4 (in which information about hc as a function of cutting speed is provided) indicate that the influence of the cutting speed is quite limited. Chip formation strongly depends on the chip cross-sectional area, which is directly linked with the feed f and cutting depth ap. Taking into consideration the turning process kinematics, an investigation of the plastic deformation process in the cutting zone and the corresponding aspects should therefore be analysed as a function of the feed f and cutting depth ap.
The thickness of the undeformed layer h (see Figure 1a) is equal to the feed f, and the chip thickness hc (see also Figure 1a) can be measured as mentioned earlier. Due to the variable chip thickness [16,17], the average values, such as those indicated in Figure 8a, were obtained from 20 repetitive measurements. This figure clearly indicates that the chip thickness hc for the insert IC 20 without a chip breaker is greater than that for P 15 (about 20%), and the influence of feed f is more than that of the cutting depth ap. Such behaviour results in the higher chip ratios, K (varies from 25% at the higher f up to 40% at the lower f) for the insert IC 20, as seen in Figure 8b, which can be calculated as follows:
K = h c h                    ( - )
K is usually linked with the energy consumed for chip separation. For this reason, this process is more energy-demanding for the IC 20 insert as contrasted against the P 15 one. The differences among the K are statistically significant with respect to the indicated standard deviations presented (see Figure 8b). The statistical validity of the K parameter is directly linked with the validity of the data for chip thickness, hc, presented in Figure 8a, with respect to Equation (3).
Furthermore, the angle of primary plastic deformation, Φ (see Figure 1a), can be calculated as follows:
tan Φ = cos γ n K sin γ n          ( ° )
where γn is the effective value of γn obtained from Table 2.
The chip speed vch calculation is based on Equation (5), and the shear speed vsh on Equation (6).
v c h = v c · sin Φ cos Φ γ n       ( m . min 1 )
v s h = v c · cos γ n cos θ γ n       ( m . min 1 )
The higher Φ angles (such as those reported in Figure 9a) for the P15 insert take a strong role in the balance between the thermal and mechanical load, in which the chip is separated and formed afterwards. Figure 9b clearly demonstrates the higher chip speeds for the P15 insert (varies from 25% at the higher f up to 35% at the lower f), whereas the difference with respect to the shear speed (depicted in Figure 10) is only minor. Figure 10 demonstrates that the shear speed increases along the feed, but the differences with respect to the employed inserts as well as cutting depths are statistically insignificant.
Such evolution is closely related to the released heat, which is increasing along with the corresponding speed. It should be noted that plastic deformation under higher self-heating runs more easily due to the reduced hardness and strength of the machined material. For this reason, the chip thickness hc and the corresponding K are less for the insert P 15. On the other hand, this evolution is compensated by the energy consumed for chip formation for the insert P 15 due to the presence of the chip former. The well-shaped chips produced by the insert P 15 can be contrasted against the less curved ones for the insert IC 20 (see Figure 11). Less energy is consumed during the chip separation for the insert P 15, which is compensated by the less demanding process with respect to the chip formation for IC 20 and vice versa. However, the overall energy consumed for the chip formation and separation is more for the insert IC 20 due to the higher components Fγc and Fγp, resulting in the higher Fγ (see Figure 7). Expressed in other words, two different aspects of the tool rake should be considered. The first one is linked with chip separation due to the dislocation shear along the angle Φ, and second one is linked with the energy consumed for chip shaping. Figure 11 clearly demonstrates that the energy necessary for the chip shaping in the case of the P 15 insert is more, as contrasted with the less curved chips produced by the IC 20 insert. On the other hand, the higher chip thickness hc for the IC 20 insert indicates that more energy is consumed for the chip separation with respect to the dislocation motion along Φ. The higher Fγc and Fγp for the insert IC 20 indicates that the influence of dislocation shear along Φ dominates, whereas the role of the energy consumed for chip shaping is only minor.
The influence of the cutting speed on Φ and vch is directly linked with Equations (4) and (5). The reduced matrix strength at the elevated temperatures (at the higher vc) also reduces the energy consumed for plastic deformation in the cutting zone, which in turn decreases the K and makes the Φ higher. The increase in vc accelerated also vch (see Equation (5)), while the decreasing K at the higher vc makes the chip thinner and longer.

3.3. Surface State

Fαt and Fαtn, indicated in Table 3, are directly related to the insert flank/machined surface interface. Fαt is linked with the thermal load of the produced surface Qfl following Equation (7):
Q f l =   F α t v c             ( kJ . s 1 )
It should also be noted that the component linked with Equation (7) contributes to the overall heat developed in the cutting zone, supplemented by the heat developed due to dislocation motion along the angle Φ (usually the major heat source) and the heat developed due to the friction between the tool rake and the chip. It is well known that, during turning (at the cutting conditions listed in this manuscript), about 70% of the developed heat is dissipated by the chip, 25% by the machined materials, and about 4% by the tool (about 1% of the heat is irradiated into the environment in dry machining). The non-homogenous thermal field in the cutting zone and the heat partitioning are quasi-stationary. This means that the heat (and the corresponding temperature) field is stable within a certain time period. However, the heat distribution and the appearance of the thermal field can be valuably altered, especially due to the crater and flank wear due to the long- term interaction.
On the other hand, the Fαtn component represents the mechanical load of the produced surface. However, the cutting edge geometry (especially rn) is also closely related to the thickness of hmin, as the layer undergoing the cutting edge is heavily deformed during the formation of the new surface (see Figure 12a). The final size of a produced component is given by the ratio between Δhpl (the plastic component of hmin) and Δhel (the elastic component of hmin); see Figure 12a. hmin is mainly a function of rn when hmin ≈ 0.26 rn [18,19]. Being so, the hmin for IC 20 is about 2.3 μm, and it is 17.4 μm for P 15. Figure 12b depicts the lower surface tensile stresses for the IC 20 insert as a result of the higher Fαtn component for this insert (about 10% lower for the CD and 25% for the TD). It should also be noted that the higher Fαt and Fαtn for IC 20 (despite the lower rn) are also due to the lower γeff for this insert (see Table 2) and the qualitative transition in shear thermodynamics [20]. Furthermore, the presence of the TiN coating on the surface of the P 15 insert also valuably reduces the friction between the machined surface and the insert, as contrasted with the uncoated IC 20 (see Figure 2), which in turn contributes to the lower Fαt and Fαtn for the P 15 insert [21]. And, finally, it should also be noted that the extremely sharp cutting edge of the very low rn (in the case IC 20) is very unstable and rapidly rounded within quite a short time period. Such behaviour is associated with the very high contact stresses on the cutting edge, which dramatically drop down early during turning. This process strongly reduces the initial differences in rn and makes the real rn more comparable. On the other hand, these differences can be found mainly on the free surface, and the stress depth profiles are quite similar along CD and as TD; see Figure 13a.
XRD patterns can be used for the calculation of dislocation density δ as follows:
δ =   1 D 2                   ( m 2 )
where D is the crystallite size obtained from Equation (9):
D =   K . λ β . cos θ             ( nm )
where K is a constant equal to 0.89, λ is the X-ray wavelength, β is equal to the full width at half maximum of the XRD patterns, and θ is the Bragg angle.
The degree of strain accumulation expressed in terms of the dislocation density is nearly the same despite a significantly different hmin, as reported earlier (see Figure 13b). Being so, the differences in the surface state expressed in terms of the residual stresses as well as the microstructure are mainly minor, and the different insert geometry mainly affects chip separation and formation. Quite a high magnitude of the tensile residual stresses (depicted on Figure 12b) on the free surface can have a negative influence on the fatigue strength during the real load of components [22]. On the other hand, this effect can be compensated by increasing the dislocation density (see also Figure 13b) [23]. It can also be noted that residual stress as well as strain accumulation are valuably altered during the subsequent heat and chemical treatment. The final surface state is mostly developed by the machining cycle after quenching and consequent tempering.
The elevated temperatures during turning (especially at the higher cutting speeds) might accelerate surface oxidation. The affected depth is usually within a few nanometres, and the XRD peaks linked with the presence of oxides are hidden in the background noise (cannot be recognised) of the irradiated region. For this reason, the presence of this thin layer on the free surface (containing oxides) has nearly no role with respect to the extracted residual stresses or the dislocation density.
It should also be noticed that the aforementioned behaviour with respect to the long-term interaction of the tools in the cutting zone might be affected by the progressive alterations in the insert shape and the corresponding geometry [1,9]. Crater wear on the tool rake develops a more positive geometry (rake angles), which in turn makes chip formation easier. Moreover, the accelerated self-heating also softens the machined matrix, which has a superimposing role in plastic deformation [7]. On the other hand, the progressive growth of the tool flank valuably increases the degree of plastic deformation in the machined surface. Such a process makes the dislocation density in the machined surface denser, and might initiate phase transformations and valuably alter the residual stress on the free surface and in the sub-surface layers [1,9,11]. The surface state expressed in the different terms is quite similar for both inserts due to the similar flank wear (VB)—below 0.05 mm. However, the valuable differences should be expected when the higher VB makes the mechanical and thermal load stronger, together with the time prolongation within the machined surface exposed to the thermo-mechanical load [1,9].

4. Conclusions

This study provides a deeper insight into chip separation and formation. It was found that the different insert geometries play quite a strong role in the interface between the insert rake and the chip. The study proves that the application of a suitable insert geometry valuably reduces the consumption of energy in the cutting zone, despite the fact that more energy is required to obtain the suitable chip form. This study can also be employed as a methodology for analyses of the different aspects in the cutting zone, focused on the investigation of surface integrity as well as plastic deformation in the cutting region. More valuable differences with respect to residual stresses or/and surface strain accumulation should be expected in cases of more developed tool flank wear, VB. This study investigates the interaction of produced surfaces and tool flanks mainly as a function of the cutting edge radius when the VB is very low, having a minor or nearly no role in the surface state. However, in real industrial practice, the progressive growth of VB should be expected, and the surface state, expressed in a variety of terms, would be altered. For this reason, the main focus of the incoming research should be related to the influence of VB on the surface state.

Author Contributions

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

Funding

This study was supported by KEGA project n. 005ŽU-4/2025 and project No. 09I03-03-V04-00313. This research was funded by the University of Žilina project: APVV-23-0366: Research of reference standards and measurement methods ensuring determination of the relationship of geometric specifications and qualitative indicators of 3D objects created by additive technologies; VEGA 1/0722/25 Research on additive technologies with a focus on their application in the design and construction of cutting tools; 09I05-03-V02-00080 DigiDent (Research on the Digitalization of Dental Implant Components for the Creation of Personalized 3D Models for the Manufacturing Process).

Data Availability Statement

The data available on the special request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. 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. Process. 2020, 50, 475–484. [Google Scholar] [CrossRef]
  2. Beňo, J. Theory of Metal Cutting, 1st ed.; Vienala Košica: Košice, Slovakia, 1999. [Google Scholar]
  3. Lee, E.H.; Shaeffler, B.W. The theory of plasticity applied to a problem of machining. J. Appl. Mech. 1951, 18, 405–413. [Google Scholar] [CrossRef]
  4. De Chiffre, L.; Wanheim, T. What can be do about chip formation mechanics? CIRP Ann. 1985, 34, 129–132. [Google Scholar] [CrossRef]
  5. Denkena, B.; Krödel, A.; Heckemeyer, A. Numerical and experimental analysis of thermal and mechanical tool load when turning AISI 52100 with ground cutting edge microgeometries. CIRP J. Manuf. Sci. Technol. 2021, 35, 494–501. [Google Scholar] [CrossRef]
  6. Tu, L.; An, Q.; Zhang, J.; Chen, M.; Yu, D. Understanding tool cutting-edge microstructure and deformation mechanism induced by adhesive wear in the turning of nickel-based superalloys. Wear 2024, 556–557, 205519. [Google Scholar] [CrossRef]
  7. Čilliková, M.; Mičietová, A.; Čep, R.; Jacková, M.; Minárik, P.; Neslušan, M.; Kouřil, K. Analysis of Surface State after Turning of High Tempered Bearing Steel. Materials 2022, 15, 1718. [Google Scholar] [CrossRef]
  8. Zou, Z.; He, L.; Zhou, T.; Wang, M.; Tian, P.; Zhou, X. Research on microhardness prediction of 304 stainless steel turning based on dislocation density. J. Manuf. Process. 2022, 83, 522–535. [Google Scholar] [CrossRef]
  9. Neslušan, M.; Trojan, K.; Haušild, P.; Minárik, P.; Mičietová, A.; Čapek, J. Monitoring of components made of duplex steel after turning as a function of flank wear by the use of Barkhausen noise emission. Mater. Charact. 2020, 169, 110587. [Google Scholar] [CrossRef]
  10. Jiang, H.; Wang, C.; Ren, Z.; He, L. Comparative Analysis of Residual Stress and Dislocation Density of Machined Surface during Turning of High Strength Steel. Procedia CIRP 2021, 101, 38–41. [Google Scholar] [CrossRef]
  11. Rech, J.; Han, S.; Cavard, A.; Raffestin, M.; Valiorgue, F. Prediction of residual stresses induced in turning—Influence of cutting tool geometry. Manuf. Lett. 2025, 44, 643–650. [Google Scholar] [CrossRef]
  12. Qi, S.; Yan, S.; Xu, J.; Sun, Y. Predictive modeling of deformation induced by residual stress for thin-walled parts in double-sided alternating precision turning. J. Manuf. Process. 2025, 146, 19–29. [Google Scholar] [CrossRef]
  13. Denkena, B.; Breidenstein, B.; Dittrich, M.A.; Wichmann, M.; Nguyen, H.N.; Fricke, L.V.; Zaremba, D.; Barton, S. Setting of deformation-induced martensite content in cryogenic external longitudinal turning. Procedia CIRP 2022, 108, 170–175. [Google Scholar] [CrossRef]
  14. Fricke, L.V.; Basten, S.; Nguyen, H.N.; Breidenstein, B.; Kirsch, B.; Aurich, J.C.; Zaremba, D.; Maier, H.J.; Barton, S. Combined influence of cooling strategies and depth of cut on the deformation-induced martensitic transformation turning AISI 304. J. Mater. Process. Technol. 2023, 312, 117861. [Google Scholar] [CrossRef]
  15. Kulkarni, A.; Ambhore, N.; Deshpande, A.; Anerao, P.; Chinchanikar, S. Analysis of cutting temperature during turning of SS 304 using uncoated and PVD coated carbide inserts. Mater. Today 2022, 68, 2569–2573. [Google Scholar] [CrossRef]
  16. Zhang, C.; Zhou, Y.; Ma, W.; Lu, Y.; Ma, L.; Li, M.; Gong, Y. Study on the chip formation mechanism and micro characteristics of adiabatic shear band in nickel-based single crystal superalloy. J. Alloys Compd. 2025, 1038, 182846. [Google Scholar] [CrossRef]
  17. Lin, J.; Yu, B.; Gu, Y.; Gao, T.; Zhang, X.; Jia, R.; Zhao, J.; Luan, Y.; Liu, H. Effect of pulsed laser on chips formation and surface morphology of SiCp/Al during turning. Appl. Surf. Sci. 2025, 696, 162982. [Google Scholar] [CrossRef]
  18. Bergmann, B.; Denkena, B.; Grove, T.; Picker, T. Chip Formation of Rounded Cutting Edges. Int. J. Precis. Eng. Manuf. 2019, 20, 37–44. [Google Scholar] [CrossRef]
  19. Mikołajczyk, T.; Latos, H.; Pimenov, D.Y.; Paczkowski, T.; Gupta, M.K.; Krolczyk, G. Influence of the main cutting edge angle value on minimum uncut chip thickness during turning of C45 steel. J. Manuf. Process. 2020, 57, 354–362. [Google Scholar] [CrossRef]
  20. Liang, X.; Liu, Z.; Chen, L.; Hao, G.; Wang, B.; Cai, Y.; Song, Q. Tool wear induced modifications of plastic flow and deformed material depth in new generated surfaces during turning Ti-6Al-4V. J. Mater. Res. Technol. 2020, 9, 10782–10795. [Google Scholar] [CrossRef]
  21. Talib, R.J.; Zaharah, A.M.; Selamat, M.A.; Mahaidin, A.A.; Fazira, M.F. Friction and Wear characteristics of WC and TiCN-coated Insert in Turning Carbon Steel Workpiece. Proc. Eng. 2013, 68, 716–722. [Google Scholar] [CrossRef]
  22. Li, S.; Kim, D.K.; Benson, S. The influence of residual stress on the ultimate strength of longitudinally compressed stiffened panels. Ocean Eng. 2021, 231, 108839. [Google Scholar] [CrossRef]
  23. Yan, H.; Zhu, P.; Chen, Z.; Zhang, H.; Zhang, Y.; Zhang, Y. Effect of shot peening on the surface properties and wear behavior of heavy-duty-axle gear steels. J. Mater. Res. Technol. 2022, 17, 22–32. [Google Scholar] [CrossRef]
Figure 1. Decomposition of energy during turning. (a) Brief illustration of cutting force component directions; (b) separation of the energy consumed in the tool rake and flank regions.
Figure 1. Decomposition of energy during turning. (a) Brief illustration of cutting force component directions; (b) separation of the energy consumed in the tool rake and flank regions.
Materials 18 05059 g001
Figure 2. Cutting inserts employed for turning process. (a) IC 20; (b) P 15.
Figure 2. Cutting inserts employed for turning process. (a) IC 20; (b) P 15.
Materials 18 05059 g002
Figure 3. Cutting inserts geometry. (a) IC 20; (b) P 15.
Figure 3. Cutting inserts geometry. (a) IC 20; (b) P 15.
Materials 18 05059 g003
Figure 4. Filtered record of Fc and Fp as a function of cutting depth ap; insert P 15; vc = 50 m.min−1; f = 0.09 mm.
Figure 4. Filtered record of Fc and Fp as a function of cutting depth ap; insert P 15; vc = 50 m.min−1; f = 0.09 mm.
Materials 18 05059 g004
Figure 5. Fc and Fp extracted from the records, as depicted in Figure 4, as a function of the cutting speed vc and cutting depth ap for the insert IC 20; f = 0.09 mm. (a) Fc; (b) Fp.
Figure 5. Fc and Fp extracted from the records, as depicted in Figure 4, as a function of the cutting speed vc and cutting depth ap for the insert IC 20; f = 0.09 mm. (a) Fc; (b) Fp.
Materials 18 05059 g005
Figure 6. Fc and Fp extracted from records, as depicted in Figure 4, as a function of the cutting speed vc and cutting depth ap for insert P 15; f = 0.09 mm. (a) Fc; (b) Fp.
Figure 6. Fc and Fp extracted from records, as depicted in Figure 4, as a function of the cutting speed vc and cutting depth ap for insert P 15; f = 0.09 mm. (a) Fc; (b) Fp.
Materials 18 05059 g006
Figure 7. Fγc and Fγp as a function of cutting speed and cutting depth; f = 0.09 mm. (a) Fγc; (b) Fγp.
Figure 7. Fγc and Fγp as a function of cutting speed and cutting depth; f = 0.09 mm. (a) Fγc; (b) Fγp.
Materials 18 05059 g007
Figure 8. Chip thickness hc and chip ratio K versus feed and cutting depth for vc = 100 m.min−1. (a) hc; (b) K.
Figure 8. Chip thickness hc and chip ratio K versus feed and cutting depth for vc = 100 m.min−1. (a) hc; (b) K.
Materials 18 05059 g008
Figure 9. Angle of primary plastic deformation Φ and chip speed vch as a function of feed and cutting depth for vc = 100 m.min−1. (a) Φ; (b) vch.
Figure 9. Angle of primary plastic deformation Φ and chip speed vch as a function of feed and cutting depth for vc = 100 m.min−1. (a) Φ; (b) vch.
Materials 18 05059 g009
Figure 10. Shear speed vch as a function of feed and cutting depth for vc = 100 m.min−1.
Figure 10. Shear speed vch as a function of feed and cutting depth for vc = 100 m.min−1.
Materials 18 05059 g010
Figure 11. Chip shapes for vc = 100 m.min−1; ap = 1 mm. (a) P 15 and f = 0.09 mm; (b) P 15 and f = 0.225 mm; (c) IC 20 and f = 0.09 mm; (d) IC 20 and f = 0.225 mm.
Figure 11. Chip shapes for vc = 100 m.min−1; ap = 1 mm. (a) P 15 and f = 0.09 mm; (b) P 15 and f = 0.225 mm; (c) IC 20 and f = 0.09 mm; (d) IC 20 and f = 0.225 mm.
Materials 18 05059 g011
Figure 12. Illustration of hmin and surface residual stress as a function of feed for vc = 100 m.min−1; ap = 1 mm. (a) Illustration of hmin; (b) surface residual stress.
Figure 12. Illustration of hmin and surface residual stress as a function of feed for vc = 100 m.min−1; ap = 1 mm. (a) Illustration of hmin; (b) surface residual stress.
Materials 18 05059 g012
Figure 13. Depth profiles of residual stress as well as dislocation density; vc = 100 m.min−1; ap = 1 mm; f = 0.09 mm. (a) residual stress depth profile; (b) dislocation density depth profile.
Figure 13. Depth profiles of residual stress as well as dislocation density; vc = 100 m.min−1; ap = 1 mm; f = 0.09 mm. (a) residual stress depth profile; (b) dislocation density depth profile.
Materials 18 05059 g013
Table 1. Chemical composition of the steel 16MnCr5 (wt. %).
Table 1. Chemical composition of the steel 16MnCr5 (wt. %).
FeCMnCrSPSiCu
bal.0.181.2510.0350.0250.20.4
Table 2. Geometrical features extracted from the profiles, as depicted in Figure 1.
Table 2. Geometrical features extracted from the profiles, as depicted in Figure 1.
IC 20P 15
Mean radius of mean edge rn, mm8.866.6
Clearance angle α, °0 (eff. 4)0.33 (eff. 4.33)
Wedge angle β, °88.082.9
Rake angle γ, °2.05 (eff. −1,95)6.69 (eff. 2.69)
Note: eff. means the effective value due to the geometry of the tool holder −4°.
Table 3. Fαt and Fαtn as a function of cutting speed; f = 0.09 mm.
Table 3. Fαt and Fαtn as a function of cutting speed; f = 0.09 mm.
IC 20P 15
vc50 m.min−1100 m.min−1150 m.min−150 m.min−1100 m.min−1150 m.min−1
Fαt39 N39 N38 N16 N15 N13 N
Fαtn121 N86 N76 N65 N50 N47 N
Table 4. hc for IC20 as a function of feed and cutting depth for ap = 0.5 mm.
Table 4. hc for IC20 as a function of feed and cutting depth for ap = 0.5 mm.
f = 0.09 mmf = 0.135 mmf = 0.180 mmf = 0.225 mm
vc = 50 m.min−10.29 ± 0.009 mm0.38 ± 0.011 mm0.46 ± 0.016 mm0.54 ± 0.023 mm
vc = 100 m.min−10.27 ± 0.010 mm0.35 ± 0.010 mm0.43 ± 0.015 mm0.51 ± 0.022 mm
vc = 150 m.min−10.26 ± 0.008 mm0.33 ± 0.007 mm0.41 ± 0.012 mm0.49 ± 0.018 mm
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.; Drbúl, M.; Čilliková, M.; Neslušan, M. Analysis of Energy Consumption in the Cutting Zone During Turning Bearing Steel 16MnCr5. Materials 2025, 18, 5059. https://doi.org/10.3390/ma18215059

AMA Style

Mičietová A, Drbúl M, Čilliková M, Neslušan M. Analysis of Energy Consumption in the Cutting Zone During Turning Bearing Steel 16MnCr5. Materials. 2025; 18(21):5059. https://doi.org/10.3390/ma18215059

Chicago/Turabian Style

Mičietová, Anna, Mário Drbúl, Mária Čilliková, and Miroslav Neslušan. 2025. "Analysis of Energy Consumption in the Cutting Zone During Turning Bearing Steel 16MnCr5" Materials 18, no. 21: 5059. https://doi.org/10.3390/ma18215059

APA Style

Mičietová, A., Drbúl, M., Čilliková, M., & Neslušan, M. (2025). Analysis of Energy Consumption in the Cutting Zone During Turning Bearing Steel 16MnCr5. Materials, 18(21), 5059. https://doi.org/10.3390/ma18215059

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