1 Introduction

In the cutting process, cutting conditions and cutting parameters need to be adjusted to avoid overload of forces for surface quality and productivity requirements [1]. Furthermore, predicting cutting forces is available in calculating power requirements and selecting geometrical structure. Micro-scale geometry of tool affects the surface integrity, tool wear and temperature distribution significantly. In recent years, cutting tool with round edge, where impact resistance and tool tip strength are increased largely [2], has been widely used in high-precious cutting. In cutting with rounded edge tool, round edge radius and uncut chip thickness (UCT) are always at the same level. Thus, plough mechanism, which is associated with sliding and intending action [3], always plays an important role and needs to research in detail.

Plough mechanism is first proposed by Albrecht [4] who thought the pressure occurring along the round edge is different from the pressure in cutting tool’s face, based on the fact that the cutting edge is not completely sharp. After then, many researchers explored the plough theory in some different situations. Basuray et al. [5] studied plough mechanism based on the chip formation analysis; he pointed out that there must be one critical line to separate chip formation and machined surface formation. Waldorf et al. [3] developed a slip line theory to describe plough mechanism in orthogonal cutting with an assumption of a stable build-up edge adhered to round edge. The minimum uncut chip thickness (MUCT) is signified to be ubiquitous in micromachining. There is no chip formation with UCT lower than MUCT and this phenomenon actually results from plough mechanism. Liu et al. [6] predicted the value of MUCT using FEM in precision micromaching and researched the relationship between surface integrity and MUCT. Yuan et al. [7] established the explicit analytical expression between MUCT and cutting tool sharpness, including the friction coefficient effect, while Camara et al. [8] used acoustic emission signals to identify the value of MUCT in micro-milling process. Wan et al. [9] used an analytical way to predict MUCT in micro-milling process with the assumption of dead metal theory. Some researchers concluded that the size effect is because of plough mechanism [10, 11]. In addition, the plough mechanism can also deeply affect cutting tool wear, material flow stress, chip formation and especially machined surface integrity [12]. Plough mechanism leads to various specific phenomena under different conditions and cutting force considering plough mechanism is researched in this study.

Many researchers have explored cutting forces considering plough mechanism in cutting with rounded edge tool. Wyen et al. [13] achieved circle fitting of round edge and explored cutting forces with different edge radius using the experimental method. Armarego et al. [14] used a semi-empirical method to define the cutting force component and edge force component. They noted the former component is proportionate to UCT, while the latter component is induced by plough behavior. Stevenson [15] defined cutting force in zero depth of cut as parasitic force, which is associated with plough mechanism and got the force values through orthogonal cutting without feed motion. Guo et al. [12] thought cutting force with no chip formation should be defined as plough force and used extrapolation method to determine plough force. Weng et al. [16] set up a PSO-based semi-analytical force model based on experimental values to investigate plough force. Popov et al. [17] compared extrapolation method with the comparison method of total cutting forces in identifying plough force. Experimental method exploring plough force may be more credible but difficult and farfetched, relatively. In recent years, many researchers have been using FEM to support the determination of cutting force considering plough mechanism. Gonzalo et al. [18] proposed a FEM model to obtain plough force coefficient for a mechanistic milling model. Jin et al. [19] used a 2D finite element model to predict plough force for milling with Brass 260, where arbitrary Lagrangian-Eulerian (ALE) way was used. Gao et al. [20] expressed plough force as micro-milling force and established a 3D milling finite element model to predict micro-milling force during micro-milling of single-crystal superalloy. Wan et al. [21] simulated the formation of dead metal zone under different round edge radius through ALE way.

In cutting force research, few scholars pay attention to contact behavior. However, it is believed that plough mechanism has an influence on the contact situation in cutting. Woon et al. [22] researched tool-based contact phenomenon considering dead metal zone in micromachining through FEM and distinguished the sticking and sliding region in cutting process. Ulutan et al. [23] set up an analytical contact stress model in tool round edge and meanwhile determined the effect of edge radius on the contact situation in the rake face.

In this research, tool-based cutting forces considering plough mechanism are researched. The determination of contact behavior between round edge and workpiece is based on plough mechanism. The separation line is introduced to identify different contact regions and tool-based cutting force components are proposed accordingly. In terms of implementation methods, a 2D finite element cutting model is built to reveal plough mechanism, including prediction of separation line. Moreover, a complicated method based on partition function in ABAQUS software is developed to distinguish every single proposed force component individually.

This paper consists of six sections. Section 1 mainly introduces the background of plough mechanism and the novelty of this work. In Section 2, three force components are described in detail based on the separation line existing in plough mechanism. The concrete and complex FEM operation is given in Section 3. In this section, the observation of the separation line is presented and identification of force components is achieved through numerical simulation. Experimental validation demonstrated to ensure the accuracy and correctness of finite element model is illustrated in Section 4. The results are given and analyzed in Section 5, composed of exploring size effect with different round edge radius. The conclusions are drawn in Section 6.

2 Theoretical analysis

2.1 Plough process with separation line

In practice, round edge with a radius cannot be unavoidably generated and the tool always has a certain edge radius on which the corresponding force acts [11, 24]. This force can be explained by the plough mechanism. Figure 1 shows the whole plough process [4] in cutting. BMF is a small metal area in front of round edge. It is the plough action by round edge that results in the deformation of BMF. During the deformation process, the material above CE (BCE in Fig. 1) is pressed into the chip and the rest part (CEFM in Fig. 1) is compressed into machined surface. This complex action reveals plough mechanism and promotes both chip formation and machined surface formation. As the detailed analysis above, there must be one critical dashed line (CE) existing in plough process as shown in Fig. 1.

Fig. 1
figure 1

Material deformation in orthogonal cutting process under rounded edge tool

The material under this line forms the machined surface while the material up this line becomes the chip. Albrecht [4] pointed out that all material above one horizontal dashed line formed the chip and Waldorf et al. [3] summarized the critical rake angle αs at the separation point C shown in Fig. 1 is around 70°. In machining operation, it is popularly thought that when UCT is lower than this critical line, chip formation will not happen during cutting process. The thickness of this line is defined as MUCT and is of critical to cutting operation.

There are some different descriptions of horizontal dashed line aiming at different situations. This study describes the horizontal dashed line as separation line and the critical thickness is defined as hs; the geometrical relationship between edge radius (rβ) and hs is expressed as Eq. (1).

$$ {h}_s={r}_{\beta}\left(1-\cos {\alpha}_s\right) $$
(1)

2.2 Force components in orthogonal cutting

In Fig. 2, x direction is the main cutting direction and feed direction is along y-axis. Point A represents the point where the chip is separated from the rake face. Points B and D are the end of the rake and clearance roundness, respectively. Point C is an imaginary point on the round edge, which is the intersection of the separation line and the round edge. As shown in Fig. 2, points B and C separate the whole contact zone (AD) into three contact regions. Region c is the contact zone between chip and rake face; region r is the contact zone between chip and round edge, while the contact zone between workpiece and cutting tool is represented as region m.

Fig. 2
figure 2

Force components based on separation line with rounded edge tool in orthogonal cutting process (i = x, y)

In the study of the cutting with a complete sharp cutting edge, the contact behavior between round edge and work is always ignored, which is obviously insufficient. This detailed paper analyzes the ploughing process and separation line identifies the contact region along round edge. The proposed three contact region makes it more in-depth and standardized to research contact behavior.

To observe and explore the contact behavior more intuitively, three tool-based contact force components are proposed. As expressed in Eq. (2), Fci, Fri and Fmi represent contact force in region c, region r and region m, respectively. In cutting, the whole cutting force (Fi) is the summation of these three force components. The proposal of contact force can simplify the method calculating cutting force and in this study, FEM is used to distinguish three force components. The FEM operation is detailed described in Section 2.

$$ {F}_i={F}_{ci}+{F}_{ri}+{F}_{mi}\left(i=x,y\right) $$
(2)

3 Numerical simulation

FEM is used to explore plough process in this study, including plough mechanism verification and contact behavior determination

3.1 Geometrical model

The length and width of the workpiece are reasonably arranged according to the experiment shown in Fig. 3; h is the UCT in the orthogonal cutting. The round edge radius is about 39 μm in this study after processing tool passivation, which can improve the processing efficiency largely. The stagnation angle α has been confirmed to vary from 20° to 50° by a wide range of published articles [25]. Therefore, the separation line in this study is estimated to be around 10 μm according to Eq. (1). As a result, to maintain the accuracy and efficiency of the simulation, the size of elements making up the workpiece is 4 μm × 4 μm. The element type of workpiece is CPE4RT, while the tool element type is CPE3T. As for boundary conditions of two-dimensional simulation model, the degrees of workpiece freedom are restricted in all directions, while cutting tool moves in cutting direction with the cutting speed.

Fig. 3
figure 3

Geometrical model in orthogonal cutting

3.2 Physical model

Al 7075-T6 and carbide are selected to be the materials of the workpiece and cutting tool. Table 1 shows the material property parameters. Besides, the material constitutive model should be selected properly. From the angle of material deformation, the cutting is special for that workpiece experiences the complete life course of the material including four stages, defined as elastic deformation, plastic deformation, the evolution of damage and material failure. In this study, the Hook law is used to describe the elastic behavior as shown in Eq. (3).

$$ \overline{\sigma}=\mathrm{K}\cdot \overline{\varepsilon} $$
(3)

where \( \overline{\sigma} \) and \( \overline{\varepsilon} \)denote the equivalent flow stress and strain respectively, and K represents Young’s modulus.

Table 1 The material property parameters in simulation

The Johnson-Cook constitutive model is used to define the plastic process in this study. As expressed in Eq. (4), the effect of strain, strain rate and temperature is described in this model by three multiplication components on the right side of the formula respectively. Table 2 shows material constants to describe this model. A, B, C, n and m represent the initial yield stress, strength coefficient, strain-rate dependency coefficient, strain work-hardening exponent and thermal softening exponent, respectively. It should be noted that all these five material constants can be obtained by torsion tests [26]. Besides, \( \overline{\varepsilon} \)pl, \( \dot{\overline{\varepsilon}} \)pl and \( \dot{\varepsilon} \)0 are equivalent plastic strain, equivalent plastic strain rate and the reference plastic strain rate, respectively. T, Tm and Tr are current temperature, room temperature and melting temperature, respectively.

$$ \overline{\sigma}=\left[A+B{\left({\overline{\varepsilon}}^{pl}\right)}^n\right]\cdot \left[1+C\ln \left(\frac{{\dot{\overline{\varepsilon}}}^{pl}}{{\dot{\varepsilon}}_0}\right)\right]\cdot \left[1-{\left(\frac{T-{T}_r}{T_m-{T}_r}\right)}^m\right] $$
(4)
Table 2 The parameters of Al 7075-T6 for J-C constitutive model [27]

The J-C ductile damage criteria expressed in Eq. (5) is used to describe the damage initiation. In this model, d1~d5 are material failure constants shown in Table 3;‾εpl D, σp and σmis are equivalent plastic strain at the onset of damage, hydrostatic pressure and the von Mises equivalent stress, respectively [28].

$$ {\overline{\varepsilon}}_D^{pl}=\left[{d}_1+{d}_2\exp \left(-{d}_3\frac{\sigma_p}{\sigma_{Mises}}\right)\right]\cdot \left[1+{d}_4\ln \left(\frac{{\dot{\overline{\varepsilon}}}^{pl}}{{\dot{\varepsilon}}_0}\right)\right]\cdot \left(1+{d}_5\frac{T-{T}_r}{T_m-{T}_r}\right) $$
(5)
Table 3 The constant parameters of Al 7075-T6 for J-C failure model [27]

Equation (6) defines the effective plastic displacement (\( {\overline{u}}^{pl} \)) using the characteristic length of the element (L).

$$ {\overline{u}}^{pl}=L\cdot {\overline{\varepsilon}}^{pl} $$
(6)

In this study, the damage evolution is represented by the variable with the relative plastic displacement D [29]. The expression of damage evolution follows as Eq. (7).

$$ D=\frac{{\overline{u}}^{pl}}{{\overline{u}}_f^{pl}} $$
(7)

\( \mathrm{where}\ \overline{u} \)pl f is the effective plastic displacement when material failure happens.

The meshed part is deleted from the simulation when material stiffness is fully degraded [29]. The stiffness state is calculated using the parameter D in Eq. (7), when D = 0, the material holds nondestructive stiffness; D = 1 stands for the complete material stiffness failure, and meanwhile the failed meshed part is removed.

3.3 Material separation and nodal displacement

A series of simulations have been worked to observe the material separation in orthogonal cutting with the cutting speed is 1600 mm/s. Figure 4 shows the nodal displacement obtained from software ABAQUS, which can be used to illustrate the material deformation. The edge radius is set as 0.039 mm and the depth of cut (h) is set as 0.04 mm. The arrows in Fig. 4 show the direction of material flow. As shown in zone H, there is a distinct separation line LN, up which the vertical component of arrows is in the direction of leaving the workpiece, and arrows below this critical line approach the workpiece.

Fig. 4
figure 4

Nodal displacement by simulation with rounded edge

To make results more convincing and accurate, Fig. 5(a)–(e) illustrates the material deformation with UCT = 0.03 to 0.08 mm, respectively. The values of hs with various UCT are given in Table 4. All values are around 0.015 mm in spite of a little reduction with UCT increasing and thus the value of hs is decided to be 0.015 mm. However, it should be noted the size of the element is 4 μm × 4 μm with consideration of simulation efficiency, resulting in the inherent error in the determination of critical value of hs in this work.

Fig. 5
figure 5

Nodal displacement in different UCT

Table 4 The value of hs with different UCT. (rβ = 0.039 mm)

3.4 Identification of force components

In this study, two fictitious lines (line 1, line 2) are assumed to separate the cutting tool as shown in Fig. 6. Point C represents the separation point and the value of hf1 is the same as hs. Point B is the end of rake roundness; hf2 represents the vertical distance between the machined face and the end of rake roundness. The separation in Fig. 6 is achieved through the partition function in ABAQUS software. As a result, the whole cutting edge is divided into three regions. In finite element analysis, the cutting edge consists of lots of nodes after meshing and contact force of every single node can be achieved in simulation. Therefore, contact forces in a specific contact region can be calculated from sum of nodal contact force. As expressed in Eq. (8), FN jik and FS jik are the CNORMF (normal component of nodal contact force) and CSHEARF (frictional shear component of nodal contact force) of the node k, respectively. The whole contact force in a cutting region is expressed as Fji. Figure 7 shows the value of forces with the cutting conditions h = 0.05 mm, v = 1600 mm/s and the width is 2 mm. It offers that three contact force components are distinguished successfully by the proposed method, verifying the feasibility of this finite element method.

$$ {F}_{ji}=\sum \limits_{k=1}^n\left({F}_{ji k}^S+{F}_{ji k}^N\right) $$
(8)

where j represents m, r, c; k is the number of nodes distributing along the cutting edge.

Fig. 6
figure 6

The partition of cutting tool in software ABAQUS

Fig. 7
figure 7

Identifying force components by simulation

4 Experimental validation

In this section, orthogonal cutting experiments are established to validate the accuracy of the cutting forces achieved by FEM.

The experiment set up is shown in Fig. 8. Orthogonal cutting experiments are achieved on a rigid, high precision lathe, which type is CAK5085nzj. Figure 9 shows the geometrical structure of the rounded edge tool used in the experiment. The radius of cutting tool is approximately 39 μm measured by precision instrument Alicona. The workpiece material used in the experiement is Al7075-T6, whose hardness is 150 HB. Cutting forces are measured by Kistler 9257B piezoelectric dynamometer and cutting data acquisition frequency is 50 Hz.

Fig. 8
figure 8

Orthogonal cutting experiment setup

Fig. 9
figure 9

Measurement of edge preparation using Alicona

A series of tests have been implemented with various feeds, which is described as UCT in the orthogonal cutting. Besides, the cutting speed is 1600 mm/s and cutting width is 2 mm, which is the same with simulation setup. The comparison between experiment and simulation is shown in Fig.10. The predicted forces show in the same trend with the measured ones in both cutting and feed direction. The maximum, minimum errors of force in cutting direction are 14.8% and 3.8%, respectively. The maximum, minimum errors of force in feed direction are 19.1% and 2.0%, respectively.

Fig. 10
figure 10

Comparison of simulation and experiment results. (a) Force in cutting direction. (b) Force in feed direction

5 Results and analysis

Section 2 details the complete process of implementing the method identifying three contact face components. In this section, the results are shown and extended, including determining cutting mechanisms with various uncut chip thickness, identifying edge force components and exploring size effect phenomenon.

5.1 Chip formation

In cutting operation with rounded edge tool, chip formation with different feed is always an attractive issue worth exploring. Fang [30] researched the influence edge radius on chip formation in detail through slip line modeling. In this study, proposed contact forces can effectively reflect the chip formation under different uncut chip thickness.

Figure 11 researched three contact force components with various UCT. To make analysis more obvious, the figure is divided into three ranges with UCT increasing.

Fig. 11
figure 11

Force components achieved by simulation. (a) Force components in cutting direction. (b) Force components in feed direction (rβ = 0.039 mm)

In range 1 (UCT is lower than hs), only Fm exits and increases as enlarging UCT, meaning that contact behavior only happens in region m. Workpiece material is compressed into the surface by rounded edge without chip formation, which is illustrated in Fig. 12 in connection with the simulation result. All that occur is the elastic and plastic deformation of workpiece surface without material damage. It should be noted dynamic uncut chip thickness (DUCT) shown in Fig. 12 is similar to UCT in this situation (h = 0.015 mm).

Fig. 12
figure 12

Material deformation in range 1

With UCT continuing to increase, it comes to range 2 (UCT increases from 0.015 to 0.025 mm), Fm keeps constant and Fr increases. Fc is still zero, which means there is no interaction happening in region c. The attention should be paid to chip formation shown in Fig. 13(a), distinguished with traditional cutting situation with completely sharp tool, chip flows meanly along the round edge and the effective rake angle is strongly negative, affecting the calculations of cutting forces and temperature. However, when it comes to range 3 as shown in Fig. 13(b), the effective rake angle is not negative and chip appears both in region r and region c. In this range, Fr keeps stable and Fc increases from zero. Moreover, effective angle in region r is in a state of change with UCT increasing; thus. it is difficult and unreasonable to predict Fr with empirical shear model. As shown in Fig. 11, Fr is predicted through FEM in this study, which is more simple and believable.

Fig. 13
figure 13

Chip formation by FEM. (a) Chip formation in range 2. (b) Chip formation in range 3

5.2 Elastic recovery

Figure 14 compares cutting forces in orthogonal cutting tests and cutting forces obtained by FEM in range 1. It can be seen that forces are underestimated both in cutting and feed direction by simulation. This mismatch can be explained by the elastic recovery theory. Elastic recovery phenomenon has been signified increasing the magnitude of cutting forces, especially in lower feed [31]. Figure 15 shows the elastic recovery in orthogonal cutting. If f is lower than the separation line, the surface material cannot be separated from workpiece and meanwhile elastic recovery happens with thickness of e1. As a result, when the cutting tool interacts with the machined surface in second time, the momentary feed increases to ft calculated in Eq. (9). Moreover, ft may be higher than the separation line, causing the chip formation with feed lower than 0.015 mm/r in orthogonal cutting tests.

$$ {f}_t=f+{e}_1 $$
(9)
Fig. 14
figure 14

Comparison between F and Fm in range 1

Fig. 15
figure 15

Elastic recovery in schematic diagram

Therefore, it is the mismatch between UCT and feed caused by the elastic recovery that not only leads to a mismatch in cutting forces but also to the difference in chip formation with lower feed. Besides, elastic recovery also causes interaction between clearance face and machined surface. In the numerical orthogonal cutting model, interaction situation along clearance face is neglected and thus the simulated cutting forces are misestimated compared with experimental forces.

5.3 Edge force component

The edge force is defined as independent with UCT in semi-empirical cutting force model. However, as explored in Fig. 11, Fm keeps constant only when UCT is larger than 0.015 mm. Thus, the value of Fm with UCT = 0.015 mm can be regarded as the value of edge force in semi-empirical cutting force model without considering interaction in clearance face.

Chip formation appears with feed lower than 0.015 mm/r in orthogonal cutting tests mainly for elastic recovery effect; thus, cutting force achieved at 0.015 mm/r in the experiment should not be regarded as the edge force. Methods of subtracting edge force component from total force have been being an attractive topic and extrapolation way, which regards edge force as the force with ideal zero feed, has been used popularly [12]. Extrapolation way is based on the assumption that the linear increase of total cutting forces is associated with increasing feed. However, the rate at which the cutting force increases with UCT is not constantly shown from Fig. 11. Combined with Fig. 13, it is the different effective rake angle which makes increasing rate different in different range. Effective rake angle is negative and changing with feed lower than 0.025 mm/r. When feed is larger than 0.025 mm/r, the effective rake angle keeps constant. In this theoretical basis, Fig. 16 is divided into two parts and cutting force is linearly fitted in two parts individually. Then all fitted curves are reversely prolonged to zero feed respectively and the value of edge force is achieved. Table 5 compares the value of edge force with extrapolation and simulation way. As a result, the error between simulation and extrapolation of the fitted curve 1 is relatively small. Therefore, it is more reasonable to use the forces in part 1 for extrapolation way in cutting process with round edge tool.

Fig. 16
figure 16

Edge force values achieved by extrapolation way with experiment force data. Part 1: feed ranges from 0 to 0.025 mm/r. Part 2: feed ranges from 0.025 to 0.08 mm/r

Table 5 The values of edge forces by simulation and extrapolation way

5.4 Size effect

Equation (10) defines the specific cutting energy in orthogonal cutting. Specific cutting energy is calculated as the ratio of total cutting force to the product of workpiece width and uncut chip thickness. Figure 17 shows the specific cutting energy with different UCT; Kx is specific cutting energy of cutting force. It increases nonlinearly with the decrease of UCT, which is defined as the size effect phenomenon. Moreover, the nonlinear increase mainly happens in range 1, where the plough mechanism is dominant. Some other researchers also thought size effect results from plough mechanism [10].

$$ {K}_i={F}_i/ bh\kern0.5em \left(i=x,y\right) $$
(10)
Fig. 17
figure 17

Size effect of cutting direction in orthogonal cutting

Figure 18 explores specific cutting energy in cutting direction of contact force components, Kmx, Krx and Kcx are specific cutting energy of three force components proposed, respectively. It shows Kmx decreases nonlinearly with UCT increasing. Krx firstly increases and then gets maximum value from UCT which is 0.03 mm. After that, it decreases nonlinearly with UCT increasing. As for Kcx, it keeps up with UCT larger than 0.025 mm/r. Therefore, only Kmx exhibits size effect among UCT of all sizes, which proves the decisive effect of plough mechanism on size effect.

Fig. 18
figure 18

Size effect of cutting direction in orthogonal cutting

Besides, some researchers presented the cutter edge radius played and important role in size effect [32,33,34]. In this study, a series of simulation tests are demonstrated to explore the relationship between size effect and round edge radius. Figure 19 shows the size effect with different round edge radius. UCT ranges from 0.005 to 0.07 mm and Re increases from 0.01 to 0.03 mm. It offers obviously that the nonlinear increase of specific cutting energy reduces with decreased Re.

Fig. 19
figure 19

Specific cutting energy with different rounded edge radius

(r1 = 0.01 mm, r2 = 0.02 mm, r3 = 0.03 mm)

6 Conclusions

In this paper, the generation of cutting forces is explored based on contact region identification in cutting with rounded edge tool. The separation line existing during plough process determines contact behavior between round edge and workpiece. The contribution of this paper can be given as follows:

  1. 1.

    A complicated and combined simulation method through FEM is developed to obtain three contact force components individually. Firstly, material separation is verified through nodal displacement in numerical simulation. Secondly, the numerical cutting model identifying three contact force components is established by partition function. Finally, all force values are detected and the whole cutting force can be achieved.

  2. 2.

    In orthogonal cutting, chip formation is affected by the radius of uncut chip thickness to edge radius. There is no chip formation with uncut chip thickness lower than 0.015 mm which can be considered as the minimum uncut chip thickness in this cutting situation. The interaction between chip and rake face occurs only when uncut chip thickness is larger than 0.025 mm.

  3. 3.

    Size effect is explored with the influence of round edge radius under various uncut chip thickness selections. The result shows that size effect phenomenon is more obvious with larger edge radius.

Cutting forces achieved through FEM is in accordance with the orthogonal experiment results. The mismatch in low feed is believed to be caused by elastic recovery resulted from plough mechanism. The combination method between numerical simulation and analytical modeling will be explored to define elastic recovery behavior in cutting with rounded edge tool.