Abstract
Intermediate roll shifting (IRS) is widely used for improving the strip shape in the six-high tandem cold mill, but most related studies are limited to a single stand. To fill the knowledge gap, a three-dimensional (3D) multi-stand elastic–plastic finite element (FE) model was developed for a continuously variable crown (CVC)-6 tandem cold mill using data transfer, which was then validated by industrial experimental results. Based on this FE model, the effects of the IRS on the strip crown, strip flatness, loaded roll gap profile and contact normal stress between rolls at each stand were quantitatively analysed. The results show that from Stand 1 (S1) to Stand 5 (S5), the regulation ability of the IRS on the strip crown shows a decreasing trend, which depends on the strip plastic rigidity; in contrast, the regulation ability on the quadratic flatness experiences an obvious increase from S1 to Stand 4 (S4), then a drop at S5, while the IRS exerts little effect on the quartic flatness and quartic crown of the loaded roll gap. Moreover, the most uniform distribution of contact normal stress emerges at different IRSs from S1 to S5. These findings can contribute to a better understanding of the role of the IRS in controlling the strip shape during tandem cold rolling (TCR).
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1 Introduction
In the strip rolling process, the technical key for strip shape control is how to achieve an even loaded roll gap profile. This is because the uneven loaded roll gap profile leads to nonuniform deformation and residual stress of the rolled strip, resulting in undesirable strip shape [1, 2]. To make the loaded roll gap profile more uniform, many control approaches such as different roll stack layouts, process technologies and roll contours, as summarised in Table 1, have been developed in recent decades. Among these methods, due to the advantages that include sample structure, large crown adjustment range and high flexibility [3], the intermediate roll shifting with the CVC contour has been widely applied in many six-high TCR production lines in the world. Figure 1 presents the schematic layout of a CVC-6 mill, which is equipped with the IRS, intermediate roll bending (IRB) and work roll bending (WRB). Figure 2 illustrates the crown adjustment of the roll gap by roll axial shifting with the CVC contour. It indicates that the roll gap crown varies from positive to negative when the roll shifts axially from negative to positive.
Since the CVC contour was invented by the SMS group in the 1980s [11], it has attracted enormous interest from many researchers and engineers. Jiang et al. [15] deduced a design principle for a three-order CVC curve and designed a five-order CVC curve with the capacity to control quarter buckle. Lu et al. [16] designed a three-order CVC curve with consideration given to minimising the axial force on the WR. Xu et al. [17] built a mathematical model for the CVC-Plus WR curve. Wang et al. [18] performed a comparison among the SmartCrown, CVC-Plus and CVC in a six-high cold mill and found that the CVC-Plus has the best quadratic crown adjusting ability, while the SmartCrown is the most capable of adjusting quartic crown. Ding et al. [19] proposed a sextic CVC WR curve to improve the plate crown in the plate rolling process.
Apart from the above analysis and design for the CVC contour by theoretical calculation, the effects of the IRS on the strip shape have also been extensively studied using the finite element method. Sun et al. [20] analysed the effects of the IRS on the elastic deformation of rolls in a CVC-6 mill using a 3D elastic–plastic FE model. Linghu et al. [21] studied the effects of the IRS on the strip crown, edge drop and contact normal stress between rolls in a CVC-6 mill via a 3D elastic–plastic FE model. Li et al. [22] calculated the efficiency function of the IRS in a CVC-6 mill based on a 3D elastic–plastic FE model and proposed a segmented CVC contour to improve the edge and centre coupled wave. Wang et al. [23, 24] developed a 3D elastic–plastic FE model for a six high Universal Crown mill and studied the effects of the IRS on the strip crown, strip flatness, contact normal stress between rolls, elastic deflection of rolls, rolling pressure, vertical and transverse rigidity. Using a similar FE model, Wang et al. [18] also discussed the effects of the IRS on the contact normal stress between rolls, strip crown and flatness under different strip widths in a SmartCrown-6 mill. However, the above studies are all limited to a single-stand FE model, so the influence of the previous stand on the following stand was neglected; more precisely, the work hardening effect caused by plastic deformation accumulation in multi-pass cold rolling has not been considered, which results in a considerable error. Wang et al. [25] studied the effect of the work roll shifting on the strip crown and its influence on the following stand considering the work hardening effect in a six-high tandem cold mill. However, the simulation was limited to the first two stands. In our previous studies [26, 27], a novel 3D elastic–plastic multi-stand FE model has been proposed for the TCR, in which the strip crown and equivalent plastic strain were transferred from one stand to the neighbouring stand, thus making it available for studying the effects of the IRS on the strip shape at each pass during the TCR.
In this study, the theoretical analysis of the adjustment ability of the CVC contour on the roll gap crown was conducted at first, and then a 3D multi-stand elastic–plastic FE model was established for a CVC-6 tandem cold mill using a segmentation modelling strategy and data transfer technology. Following that, the effects of the IRS on the strip crown, strip flatness, loaded roll gap and contact normal stress between rolls at each stand from S1 to S5 were revealed and discussed. The novelty of this study is that the present study expands the research on the influence of the IRS on the strip shape from a single stand to multi stands and determines the relationship between the regulation ability of the IRS on the strip crown and the strip plastic rigidity. This work can provide valuable guidelines for the IRS setting in practical strip shape control.
2 Analysis of the CVC contour
In the CVC-6 tandem cold mill, the WR contour was the conventional contour, and the contours of the IMR and BR were three-order CVC and reverse-CVC, respectively. According to the coordinate system of the CVC contour, as shown in Fig. 3, the three-order CVC curve can be modelled by Eq. (1).
where \({R}_{0}\) is the initial radius of IMR; \({a}_{1}\), \({a}_{2}\) and \({a}_{3}\) are the constant coefficients, listed in Table 2.
When the IMR was shifted laterally by \({s}\) mm, the function of the upper IMR contour can be described by Eq. (2). According to the anti-symmetric layout of the upper and lower IMRs, the function of the lower IMR contour can be expressed as Eq. (3).
where \({s}\) is the axial shifting value, varying from −200 to 200 mm; \({L}\) is the barrel length of the IMR, 2580 mm here.
Ignoring the influence of the small WR crown, the function of the unloaded roll gap can be obtained as Eq. (4).
where \({D}\) is the diameter of the IMR and \({H}\) is the roll gap.
Substituting Eqs. (2) and (3) into Eq. (4), Eq. (4) can be rewritten into Eq. (5).
According to Eq. (5), the equivalent crown of the unloaded roll gap can be deduced, as shown in Eq. (6). From Eq. (6), it can be found that the \({C}_{W}(x,s)\) has a linear relationship with \({s}\). Specifically, it can be observed from Fig. 4 that the \({C}_{W}({x},s)\) decreases linearly with the increase in the IMR axial shifting.
The cross-sectional profile of the unloaded roll gap is assumed to be symmetrical about the rolling centre, which can be modelled as a quartic polynomial function. The quadratic and quartic components correspond to the quadratic and quartic crowns, respectively, as shown in Eqs. (7) and (8) [18]. From Eq. (7), it can be seen that the quadratic crown \({C}_{{W}{2}}\) is the same as the \({C}_{W}(x,s)\). By contrast, the value of the quartic crown \({C}_{{W}{4}}\) is zero, which means that the three-order CVC contour has no ability to regulate the quartic flatness.
3 3D multi-stand FE model for the TCR
This section presents a 3D multi-stand elastic–plastic FE model for the TCR process developed based on the MSC Marc software. In addition, industrial experiments were carried out to validate the established FE model.
3.1 Modelling techniques
Figure 5a displays a 2180 mm CVC-6 tandem cold mill, which consists of five identical CVC-6 mills arranged in a line. If they are all modelled in one FE model, it will take millions of elements, resulting in high computation costs. Also, the strip elements will suffer severe distortion due to the substantial elongation generated by heavy reduction through five passes. To address this issue, the following modelling techniques were adopted.
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1.
The segmentation modelling strategy was utilised to divide the tandem cold mill into five independent stands (S1, S2, S3, S4 and S5), each of which was modelled as a separate FE model, as shown in Fig. 5b.
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2.
To integrate these individual FE models into a whole model, data transfer technologies were developed to transfer data between neighbouring stands. These technologies include transferring the strip crown via the Mentat commands in Marc and transferring the total equivalent plastic strain at the strip elements’ integration points via the self-developed Elevar and Initpl subroutines.
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3.
To maintain the regularity of strip elements, the strip elements need to be remeshed after each pass, which was conducted during the data transfer process. During the element remeshing process, the number of new elements and nodes should be in accord with that of the deformed elements and nodes of the previous stand.
Furthermore, the five distinct FE models were calculated sequentially. The detailed modelling process and roll size parameters are presented in our previous studies [26, 27].
3.2 Material properties
In this model, the strip material was a kind of deep drawing steel named DC01. The WR, IMR and BR were made of Cr5 forged steel. The strip and rolls were characterised as elastic–plastic body and elastic bodies, respectively, and their physical properties are summarised in [27]. Taking into account the work hardening effect, rolling-tension tests were conducted to determine the strip’s static deformation resistance, which can be expressed by Eq. (9) [26].
where σs is the plastic deformation resistance; ε is the true strain, which can be expressed as Eq. (10); \({H}\) and \({h}\) are the strip entry and exit thickness, respectively.
3.3 Simulation conditions
Table 3 lists the process parameters of stands S1–S5. Nine different IRSs (−200 mm, −150 mm, −100 mm, −50 mm, 0 mm, 50 mm, 100 mm, 150 mm and 200 mm) were selected to develop the FE model from S1 to S5. The implicit algorithm based on the full Newton–Raphson method was used to solve the nonlinear equilibrium equations. Besides, the Coulomb bilinear friction model was adapted to define the rolling contact behaviour. Furthermore, every single FE model was meshed by the eight-node hexahedral elements (i.e. the element type 7 in Marc), with a total element number of 214,808. As shown in Fig. 6, there are four elements in the thickness direction; the strip was divided into three parts in the width direction, including two finely-meshed strip edge regions (100 mm in length) with an element length of 10 mm and a coarsely meshed strip central region with an element length of 13.56 mm, respectively; the element length is 0.9 mm in the rolling direction. To be closer to the actual situation, the tension was added to the strip head and tail. The computation was carried out using a workstation powered by an Intel Xeon E5-2667 v3 CPU and 64 GB of RAM.
3.4 Validation of the 3D multi-stand FE model
To verify the generality of the developed FE model, two industrial trial cases with different specifications were conducted on the 2180 mm TCR mill. According to previous studies [2, 18], Wang et al. verified the FE model by comparing the experimental and simulated rolling forces. In this study, the experimental and simulated rolling forces are compared, as summarised in Tables 4 and 5. It is noted that the experimental rolling force was obtained from the PDA (process data acquisition) data. It is clear that the rolling force shows a downward trend from S1 to S5, which is due to the decrease in pass reduction [28, 29]. In addition, the simulated rolling force accords with the experimental value, with a relative error of less than 5%. Therefore, the developed multi-stand FE model is accurate and reliable.
4 Evaluation index of strip shape
In actual production, the strip shape quality is mainly evaluated in terms of the cross-sectional profile and flatness. They are assessed using a variety of indexes as follows.
4.1 Strip cross-sectional profile
The strip cross-sectional profile is displayed in Fig. 7. Here, the \({C}_{40}\) (characteristic value of the strip crown) is adopted as the main index to evaluate the quality of the strip cross-sectional profile, expressed as Eq. (11) [30].
where hc is the centre thickness; \({h}_{d}^{^{\prime}}\) and \({h}_{d}^{\prime\prime}\) are the thickness at 40 mm from the edge (DS side and OS side, respectively).
4.2 Strip flatness
According to the bucking position in the strip width direction, the flatness defect can be divided into the centre wave, edge wave, quarter wave and edge-centre coupled wave (see Fig. 8). Buckling takes place during the strip rolling process due to the strip fibres’ nonuniform elongation, which is caused by the uneven reduction along the strip width direction under the unevenly-loaded roll gap. If the rolled strip sample is sliced longitudinally into several narrow fibres, the fibres will contract or stretch elastically in response to the release of residual tension. Thus, the strip flatness can be represented by the relative difference in the lengths of these fibres, expressed as Eq. (12) [3]. The flatness can be written as Eq. (13) [3].
where εv(x) is the relative difference in the lengths of fibres at location x; L(x) is the length of strip fibre (60 elements here) at location x; \(\overline{L }\) is the average length of the strip fibres (60 elements here).
where I(x) is the flatness at location x (in IU).
In the actual production, the strip flatness is measured through the tensile stress based on the shape roll, which can be expressed as the difference between the front tensile stress and the average tensile stress, as shown in Eq. (14) [31].
where σ(x) is the front tensile stress at location x; \(\overline{\sigma}\) is the average tensile stress.
The tensile stress difference Δσ(x) can also be described as Eq. (15) [3]. From Eq. (15), it can be confirmed that the εv(x) should be the elastic deformation of the fibres, not the plastic deformation. Therefore, during the postprocessing of the FE model, the elastic deformation of 60 elements (in the stable rolling stage) in the rolling direction was used to evaluate the flatness according to Eq. (13).
where \({E}\) is the elastic modulus.
A quartic polynomial can be employed to fit the flatness curve, as Eq. (16), which can be reformulated using Chebyshev polynomials [32, 33] as Eq. (17).
where a0, a1, a2, a3, a4 are the coefficients; x is the normalised width, from −1 to 1.
where Flt1 is the first flatness; Flt2 is the quadratic flatness; Flt3 is the cubic flatness; and Flt4 is the quartic flatness; Flt2 and Flt4 can be expressed by Eqs. (18) and (19), respectively; ∆ is the error.
From Eqs. (17) to (19), it can be determined that when Flt2 > 0, it is the centre wave, whereas when Flt2 < 0, it is the edge wave; when Flt4 > 0, it is the quarter wave, whereas when Flt4 < 0, it is the edge-centre coupled wave [26].
4.3 Evaluation index of the effect of the IRS on the strip shape
To quantitatively evaluate the effect of the IRS on the strip crown, the efficiency factor KC is introduced by Eq. (20).
where ∆C40 denotes the variation of C40; ∆IRS denotes the variation of the IRS.
To quantify the effect of the IRS on the strip flatness, the efficiency factor KF is proposed by Eq. (21).
where ∆Flt is the variation of the strip flatness.
To quantify the influence of the IRS on the crown of the loaded roll gap profile, the efficiency factor KW is indicated by Eq. (22).
where ∆CW is the crown variation of the loaded roll gap profile.
Due to different roll contours of WR, IMR and BR, as well as the elastic deflection and flattening deformation of the roll stack, the contact normal stress between rolls is unevenly distributed, which has a direct effect on the roll wear. To evaluate the nonuniform distribution degree, a nonuniform coefficient β is defined as Eq. (23) [21]. The larger β is, the more nonuniformly contact normal stress is distributed.
where pmax is the maximum contact normal stress; pave is the average contact normal stress.
5 Results
5.1 Effects of the IRS on the strip crown
Figure 9 illustrates the relative thickness deviation (RTD) of the strip under various IRSs from S1 to S5. As seen in Fig. 9, the RTD is distributed non-uniformly along the strip width direction; specifically, the RTD at the strip edge is significantly greater than that in the central region, forming the so-called edge drop. With the increase in the IRS from −200 to 200 mm, the shape of the RTD changes from a ‘hill’ to a ‘valley’. Furthermore, from S1 to S5, the range of the RTD sees a downward trend on the whole.
Figure 10 presents the efficiency curves of the IRS on the strip crown from S1 to S5. It can be seen from Fig. 10 that all the curves exhibit a linearly declining trend with an increase in the IRS, although with varying slopes. To be more precise, when the IRS increases from −200 to 200 mm, the strip crown C40 of S1 decreases steeply from 230.2 to −11.3 μm; similarly, the C40 of S2 drops from 210.3 to −26.9 μm. When it comes to S3 and S4, with the increase in the IRS from −200 to 200 mm, the C40 of S3 sees a drop from 165.8 to −59.8 μm, while the C40 of S4 also experiences a relatively slight decrease from 137.0 to −53.6 μm; in contrast, the C40 of S5 undergoes the smallest decrease from 71.6 to −34.3 μm.
The KC can be determined by fitting the efficiency curves from Fig. 10 according to Eq. (20), namely the slopes, as seen in Fig. 11. It can be observed from Fig. 11 that, from S1 to S3, the absolute value of KC decreases slowly from 0.608 to 0.565 μm/mm, and then decreases sharply to 0.271 μm/mm at S5. This demonstrates that the influence of the IRS on the strip crown decreases gradually from S1 to S3, while decreasing dramatically from S3 to S5.
5.2 Effects of the IRS on the strip flatness
Figure 12 displays the strip flatness under various IRSs from S1 to S5. As shown in Fig. 12, the flatness along the strip width direction changes drastically with the variation of the IRS; opposite to the RTD, the shape of the flatness changes from a ‘valley’ to a ‘hill’ (i.e. from ‘edge wave’ to ‘centre wave’). To quantify the variation of the flatness, the flatness curves can be decomposed into Flt2 and Flt4 according to Eq. (17), as displayed in Fig. 13. From Fig. 13a, it can be found that when the IRS increases from −200 to 200 mm, the Flt2 increases linearly from −7.41 to 1.92 IU, which indicates that the quadratic flatness changes from the edge wave to the centre wave. The Flt2 of stands S2-S5 all show a similar trend as that of S1.
Compared with Flt2, the Flt4 under different IRSs shows an obviously nonlinear trend, as seen in Fig. 13b. Specifically, when the IRS increases from −200 to 200 mm, the Flt4 of S1 decreases from 0.24 to 0.05 IU, which suggests that the type of quartic flatness is the quarter wave, with decreasing intensity. By contrast, with an increase in the IRS from −200 to −100 mm, the Flt4 of S2 increases slowly from 0.45 to 0.52 IU, and then decreases gradually to 0.23 IU when the IRS increases to 200 mm. This suggests that the quarter wave appears, but with the peak intensity at −100 mm. When it comes to S3, the Flt4 first experiences an increase from −0.25 to 0.10 IU when the IRS increases from −200 to 0 mm, and then drops to −0.21 IU when the IRS increases to 200 mm. This means that the quartic flatness evolves from the edge-centre coupled wave to the quarter wave, and then changes to the edge-centre coupled wave. The Flt4 of S4 exhibits a similar trend as that of S3, but with the peak value at 100 mm. In comparison, the Flt4 of S5 sees a dramatic increase from −0.52 to 0.47 IU when the IRS increases from −200 to 100 mm, and then undergoes a slight drop from 0.47 to 0.21 IU when the IRS increases from 100 to 200 mm. This implies that the quartic flatness evolves from edge-centre coupled wave to quarter wave, while the intensity of the quarter wave peaks at 100 mm.
The efficiency factor KF of Flt2 and Flt4 from S1 to S5 are compared in Fig. 14. It can be observed from Fig. 14 that the KF of Flt2 is much greater than that of Flt4, which indicates that the effect of the IRS on the quadratic flatness is far larger than that on the quartic flatness. In addition, from S1 to S4, the KF of Flt2 increases steadily from 0.023 to 0.057 IU/mm, and then decreases to 0.035 IU/mm at S5. This demonstrates that the influence of the IRS on the quadratic flatness rises substantially from S1 to S4, and then falls at S5. Comparatively, the KF of Flt4 is close to zero, negative at S1 and S2, but positive at S4 and S5. This means that the effect of the IRS on the quartic flatness is small and nonstable. This phenomenon will be discussed in the following part.
5.3 Effects of the IRS on the loaded roll gap profile
For the CVC-6 tandem cold mill here, the IRS can efficiently change the crown of the loaded roll gap profile, as shown in Fig. 15. It can be seen that when the IRS increases from −200 to 200 mm, the crown of the loaded roll gap profile decreases from positive to negative at each stand, and the range of the loaded roll gap profile shows a downward trend from S1 to S5.
5.4 Effects of the IRS on the contact normal stress between rolls
Figure 16 compares the contact normal stress between the WR and IMR under various IRSs from S1 to S5. It is apparent that the contact normal stress along the WR width direction shows ‘S’ in shape, which accords with the shape of the CVC contour of IMR. With an increase in the IRS, the contact normal stress increases in the central region, but decreases at both WR edges.
The βWI (nonuniform coefficient of the contact normal stress between the WR and IMR) under various IRSs from S1 to S5 is compared in Fig. 17. It can be seen from Fig. 17 that the βWI shows an upward trend from S1 to S5 when it comes to the same IRS, while the βWI varies nonlinearly with the IRS at each stand. Specifically, as for S1, the βWI first decreases gradually from 1.41 to 1.30 when the IRS increases from −200 to −50 mm, then continuously rises to 1.43 when the IRS increases to 200 mm. The βWI at S2 has a similar pattern as that of S1. In comparison, the βWI at S3 first sees a decrease from 1.50 to 1.35 when the IRS increases from −200 to 0 mm, then experiences an increase to 1.48 when the IRS increases continuously to 200 mm. As for S4, there is a fall in βWI from 1.74 to 1.49 when the IRS increases from −200 to 50 mm, and a rise in βWI from 1.49 to 1.61 when the IRS increases from 50 to 200 mm. The βWI at S5 follows a similar pattern as that of S4.
Figure 18 presents the contact normal stress between the IMR and BR under various IRSs from S1 to S5. It can be observed from Fig. 18 that when the IRS increases from −200 to 200 mm, the shape of contact normal stress along the BR width direction evolves from a ‘saddle’ to a ‘hill’. In other words, the stress increases obviously in the central region, while it decreases significantly at both BR edges. This is similar to the variation of contact normal stress between the WR and IMR.
The βIB (nonuniform coefficient of the contact normal stress between the IMR and BR) under various IRSs from S1 to S5 is shown in Fig. 19. As illustrated in Fig. 19, the βIB shows an increasing trend at the same IRS from S1 to S5, except that the βIB remains stable when the IRS ranges from −100 to 50 mm at stands S1–S4. Furthermore, the βIB has a nonlinear relationship with the IRS. More precisely, the βIB at S1 first decreases slightly from 1.12 to 1.07 when the IRS increases from −200 to −150 mm, but then increases steadily to 1.31 when the IRS increases to 200 mm. The βIB at S2 and S5 has a similar trend as that of S1, except that the value at S5 is much larger than that at S1 and S2. By contrast, the βIB undergoes a small drop from 1.15 to 1.08 when the IRS increases from −200 to −100 mm, but it sees a large increase from 1.08 to 1.35 when the IRS increases from −100 to 200 mm. S4 exhibits a similar tendency to S3.
6 Discussions
6.1 Relationship between the efficiency factor K C and strip plastic rigidity
From Fig. 11, it can be seen that the value of KC shows an increasing trend from S1 to S5, which is in good agreement with previous studies [31]. This trend is similar to that of the strip plastic rigidity Q calculated in our previous research [26], as shown in Fig. 20a. It can be observed that KC is in near accordance with Q at each stand. Given the almost same mill rigidity at each stand, KC is dependent on Q. This is to say, KC is related to the deformation resistance of the strip influenced by the work hardening effect.
To further study the relationship between KC and Q, the curve of KC versus Q is drawn in Fig. 20b. As illustrated in Fig. 20b, KC increases nonlinearly with Q, which can be well described by an exponential function curve, as expressed in Eq. (24). This mathematical model provides a quantitative relationship instead of engineers’ experience to predict the KC at each stand. This offers a valuable reference for setting up the strip crown control model in terms of the IRS in the TCR.
where Q denotes the strip plastic rigidity.
6.2 Relationship between the loaded roll gap profile and strip shape
The curves of the loaded roll gap profile (in Fig. 15) can be decomposed into the quadratic crown CW2 and quartic crown CW4, as displayed in Fig. 21. From Fig. 21a, it can be observed that the CW2 decreases linearly with the increase in the IRS, but with different slopes. This is in line with the variation of C40 in Fig. 10, but contrary to the variation of Flt2 in Fig. 13a. By contrast, it can be found from Fig. 21b that the CW4 varies nonlinearly with the IRS. More precisely, when the IRS increases from −200 to 200 mm, the CW4 of S1 and S2 shows an upward trend, while the CW4 of S4 and S5 displays a downward trend, whereas the CW4 of S3 fluctuates slightly at 30 μm. This tendency is opposite to the variation of Flt4 in Fig. 13b.
Figure 22 compares the KW of CW2 and CW4 from S1 to S5. It is apparent that the absolute value of KW for the CW2 is much larger than that of the CW4, which suggests that the IRS exerts a far greater effect on the CW2 than that on the CW4. Besides, the value of KW for the CW4 is close to zero and not stable; it is positive from S1 to S3, while it is negative at S4 and S5 (this is opposite to the value of KF for the Flt4 shown in Fig. 14). This is in line with the earlier analysis (in Sect. 2) that the three-order CVC contour is incapable of regulating the quartic flatness. Furthermore, the value of KW for the CW2 is negative at each stand, and its absolute value shows a decreasing trend from 0.689 μm/mm at S1 to 0.356 μm/mm at S5. This agrees well with that of the KC in Fig. 11, but this is contrary to that of KF for the Flt2 in Fig. 14. In summary, the CW2 of the loaded roll gap profile is similar to the C40, but the CW2 and CW4 are contrary to the Flt2 and Flt4, respectively. This further demonstrates that the loaded roll gap profile controls the strip shape, including the strip cross-sectional profile and flatness.
6.3 Distribution characteristics of contact normal stress between rolls
From Figs. 16 and 18, it can be seen that when the IRS rises from −200 to 200 mm, there is an increase in the contact normal stress in the roll central region, but a decrease at both roll edges. This finding is consistent with that of Wang et al. [18]. The reason for this result is that: when the IRS increases, the crown of the loaded roll gap profile decreases, which leads to an increase in strip plastic deformation located at the strip centre, but a decrease in strip deformation located at the strip edge. As a result, the stress in the roll central region increases, but the stress at the strip edge decreases.
Comparison between Figs. 16 and 18 shows that the maximum contact normal stress between the WR and IMR is larger than that between the IMR and BR at each stand. This result agrees with the finding in [18]. This is attributed to the compatibility of the roll contour. Specifically, as presented in Fig. 1, the WR contour is the conventional contour and the IMR is ground with the CVC contour, so there is an obvious clearance between the contact surfaces of WR and IMR in the initial state, thus causing the high localised peak contact normal stress. By contrast, due to the BR being designed with the reverse-CVC contour, the IMR and BR match perfectly each other, thus resulting in relatively low localised peak contact normal stress.
The nonuniform coefficient has been used to evaluate the distribution of contact normal stress between rolls from S1 to S5, as shown in Figs. 17 and 19. As seen in Fig. 17, the minimum βWI occurs when the IRS is -50 mm at both S1 and S2, while it occurs when the IRS is 0 mm at S3; by contrast, it appears when the IRS is 50 mm at both S4 and S5. This suggests that the appropriate IRS value is different at each stand in terms of the βWI. Similarly, as illustrated in Fig. 19, when the IRS is -150 mm, the βIB reaches minima at S1, S2 and S5; in comparison, when the IRS is -100 mm, the βIB is at minima at S3 and S4. This implies that the proper IRS value is also different for each stand from the aspect of βIB. These findings have been novelly obtained through using the developed multi-stand FE model. According to the above analysis, it can be concluded that when setting up the IRS value, it not only should meet the target crown and flatness according to the quantitative relationships shown in Figs. 10, 13 and 21, but also there is a need to consider as small βWI and βIB as possible at each stand to alleviate the roll wear.
Moreover, it can also be found in Fig. 17 that the βWI displays an upward trend from S1 to S5 when it comes to the same IRS. The possible explanation for this new finding is that the strip plastic rigidity increases continuously from S1 to S5 (see Fig. 20a), thus leading to an increase in plastic deformation resistance of the strip, which causes more uneven elastic deflection and flattening deformation of rolls. As a result, the contact stress between the WR and IMR is distributed more and more non-uniformly along the roll width direction from S1 to S5. Besides, the βIB shows a similar variation to that of βWI, except that the βIB has almost the same value when it comes to the same IRS (from −100 to 50 mm) from S1 to S4 (see Fig. 19). However, the special phenomenon is difficult to explain clearly based on the current results and theory. This will be studied in future work.
According to the above analyses, it can be concluded that the effect of the IRS on the strip crown, strip flatness, loaded roll gap profile and contact normal stress between rolls were thoroughly analysed at each stand from S1 to S5, and each stand shows significantly different characteristics with various influence factors (see Figs. 11, 14, and 22) and non-uniform coefficients (see Figs. 17 and 19). This differs obviously from previous studies [18, 20,21,22,23,24] using the single stand FE model. More importantly, this study elucidates the nonlinear relationship between the regulation ability of the IRS on the strip crown and the strip plastic rigidity (see Fig. 20), which cannot be obtained by employing the single stand FE model. This further demonstrates the superiority and necessity of developing the multi-stand FE model for the TCR.
7 Conclusions
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1.
With an increase in the IRS at each stand, the strip crown displays a linearly declining trend, but the quadratic flatness shows a linearly rising trend, and the flatness type evolves from the edge wave to the centre wave. However, the IRS has little effect on the quartic flatness.
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2.
The absolute value of \({K}_{C}\) decreases from 0.608 μm/mm at S1 to 0.271 μm/mm at S5. This suggests that the regulation ability of the IRS on the strip crown decreases from S1 to S5. This trend is dependent on the strip plastic rigidity.
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3.
From S1 to S4, the \({K}_{F}\) of quadratic flatness rises from 0.023 to 0.057 IU/mm, and then declines to 0.035 IU/mm at S5. This indicates that the regulation ability of the IRS on the quadratic flatness increases significantly from S1 to S4, but decreases obviously at S5.
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4.
With an increase in the IRS at each stand, the quadratic crown of the loaded roll gap profile decreases linearly. Furthermore, the absolute value of \({K}_{W}\) for the quadratic crown decreases from 0.689 μm/mm at S1 to 0.356 μm/mm at S5, which means that the regulation ability of the IRS on the quadratic crown shows a decreasing trend from S1 to S5. However, the IRS has no obvious influence on the quartic crown of the loaded roll gap profile.
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5.
With an increase in the IRS at each stand, the contact normal stress between rolls increases in the roll central region, but decreases at both the roll edges. Besides, the least nonuniform stress distribution occurs at different IRSs from S1 to S5, which provides a valuable reference for determining the appropriate IRS value to reduce the roll wear.
Data availability
The data are available from the corresponding author upon reasonable request.
Code availability
The calculation was performed based on the MSC Marc software.
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Open Access funding enabled and organized by CAUL and its Member Institutions. This work is funded by the HBIS Group, China (Grant No. 333002572).
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Lianjie Li: conceptualisation, formal analysis, investigation, methodology, writing–original draft. Haibo Xie: writing–review and editing. Tao Zhang: investigation. Di Pan: data curation. Xingsheng Li: offer assistance for FE model development and calculation. Fenghua Chen: validation. Tianwu Liu: formal analysis. Xu Liu: data curation, validation. Hongqiang Liu: resources. Li Sun: data processing. Zhengyi Jiang: writing–review and editing, supervision, project administration.
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Li, L., Xie, H., Zhang, T. et al. Influence of intermediate roll shifting on strip shape in a CVC-6 tandem cold mill based on a 3D multi-stand FE model. Int J Adv Manuf Technol 121, 4367–4385 (2022). https://doi.org/10.1007/s00170-022-09529-x
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DOI: https://doi.org/10.1007/s00170-022-09529-x