Four-high mill supporting roller abrasion forecasting method

Abstract

The invention relates to a four-high mill supporting roller abrasion forecasting method, and belongs to the technical field of hot continuous rolling finishing mill production methods. According to the technical scheme, the method comprises the steps that hot rolling and finish rolling base equipment parameters, rolling process parameters and strip parameters are collected; dividing a roll body of a supporting roll, a roll body of a working roll and the width of the strip, and calculating related parameters defined in the process; calculating a correlation function between the load and the deflection change, and correlation functions between the roll bending force and the deflection change and between the supporting force and the deflection change; calculating an inter-roll pressure value and a rolling pressure value of each section according to the metal plastic deformation model and the roll system elastic deformation model; calculating the total abrasion loss of the supporting roller according to the model. According to the method, the back-up roll abrasion of the hot continuous rolling and finish rolling four-roller mill under the specific condition is calculated, then dynamic forecasting of the back-up roll abrasion of the four-roller mill is completed, the plate convexity of the strip steel hot continuous rolling mill and the precision of a plate shape control model are improved, and therefore the economic benefits of field strip steel production are improved.

Description

Technical Field

[0001] The invention relates to a method for predicting wear of a supporting roller of a four-roller rolling mill, and belongs to the technical field of production methods of hot continuous rolling finishing mills. Background Art

[0002] During the hot-rolled steel plate forming process, roll wear is an important factor affecting the plate shape control accuracy. Roll wear is mainly reflected in the changes in the roll surface quality and roll shape. When the wear reaches a certain degree, the roll must be replaced. The worn roll needs to be ground to reach the designed initial roll shape and remove a certain thickness of fatigue structure on the roll surface before it can be used. Ignoring the elastic recovery of the rolled piece, the cross-sectional shape of the rolled piece is consistent with the shape of the load-bearing roll gap between the working rolls. Roll wear not only increases the roll consumption, but also changes the shape of the load-bearing roll gap, which is one of the factors affecting the strip shape. Roll wear includes the wear of the support roll and the wear of the working roll. The wear of the support roll affects the bending deformation of the working roll, which in turn affects the plate shape of the rolled piece. Roll consumption is the sum of the online wear and offline grinding of the roll. As a consumable spare part in steel rolling production, reducing roll consumption and increasing roll life are one of the measures for enterprises to improve production efficiency and save energy.

[0003] According to current research, the wear prediction of working rolls is mainly achieved by collecting online data, analyzing and studying the collected data, and studying the working rolls, while the influence of support rolls on plate shape is ignored; or by collecting a large amount of historical data, a model is established for the support rolls, and then the wear of the support rolls is predicted, which increases the impact of support roll wear in the early stage of production and reduces production efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide a method for predicting the wear of the support rollers of a four-roll mill. By comprehensively considering the rolling characteristics of the hot-rolled finishing mill group and the influence of factors such as rolling pressure, bending roll force, strip width, total rolling length, etc. on the wear of the support rollers, the wear of the support rollers of the hot-rolled finishing four-roll mill under specific conditions is calculated, and then the dynamic prediction of the wear of the support rollers of the four-roll mill is completed, the accuracy of the plate convexity and plate shape control model of the hot strip rolling mill is improved, thereby improving the economic benefits of on-site strip production, and effectively solving the above-mentioned problems existing in the background technology.

[0005] The technical solution of the present invention is: a method for predicting the wear of the support roll of a four-high rolling mill, comprising the following steps: (A) collecting hot rolling finishing base equipment parameters, rolling process parameters and strip parameters; (B) dividing the support roll body, work roll body and strip width, and calculating the relevant parameters defined in the process; (C) calculating the correlation function m of the load and deflection change ij 、n ij , and the correlation function m between the bending roll force and the supporting force and the deflection change s1i 、ms2i 、n p1i 、n p2i (D) Calculate the roller pressure value P of each section according to the metal plastic deformation model and the roller elastic deformation model i And rolling pressure value P` j ; (E) Calculate the total wear of the support roller Q2(x) according to the model

[0006] In the step (A), the relevant parameters in the rolling process include the length L of the support roll of the specific stand b , the working roll radius R of a specific stand w , support roller radius R b , strip elastic modulus and Poisson's ratio E, ν, strip width b, bending roll force S during strip rolling, rolling pressure P, strip rolling temperature T s , the average thickness of the strip at the entrance of a specific stand H, the average thickness at the exit h, the center distance of the support roller support force l P , center distance of working roll bending force l S and the total rolling length L t .

[0007] In the step (B), the relevant parameters in the rolling process are the length of the support roller body and the generalized rolling pressure, which is divided into 2a+1 segments in the transverse direction, and the non-zero part of the rolling pressure is divided into 2b+1 segments. For the convenience of calculation, n2=2a+1 and n1=2b+1 are set, wherein n2 is the length of the support roller body and the total number of transverse segments of the generalized rolling pressure, and n1 is the total number of segments of the non-zero part of the rolling pressure. Two of the segments are set as i, j∈{1,2,...,2a+1}, and the influence function m of the deflection of the working roller and the support roller in the i segment caused by the load in the j segment is ij 、n ij , the influence function of the left and right support forces on the deflection of the i-th section working roll and support roll The j-th roller pressure value P j , rolling pressure value P' in the jth section j and the total rolling force P for a particular stand.

[0008] In the step (C), the influence function m of the change in the deflection of the i-th section working roll and the support roll caused by the j-th section load is calculated based on the influence function model. ij 、n ij , and the influence function m of the left and right bending roll forces on the deflection change of the i-th section working roll and support roll s1i 、m s2i , the calculation model is as follows:

[0009]

[0010] Where: k = 10 / 9, In the step (D), the calculation model is as follows:

[0011]

[0012] Where: K is the flexibility coefficient of the working roll and the support roll flattening each other, β is the rigid rotation angle of the working roll relative to the support roll, and after solving, β=0, C1 and C2 are process functions, B is half of the contact width of the two rolls, and q * It is the contact pressure per unit roller length.

[0013] In the step (E), the calculation model is as follows;

[0014]

[0015] Where: L t is the total rolling length, R1(x) and R2(x) are the load radius distribution values ​​of the working roll and the backup roll, k1 and k2 are the sliding friction coefficients between the working roll and the backup roll, g2 is the rolling friction coefficient, and R 1c (x), R 2c (x) is the original grinding radius distribution value of the working roll and the backup roll, R 1t (x), R 2t (x) is the radial distribution value of thermal crown of working roll and backup roll, R 1m (x), R 2m (x) is the wear distribution value of the working roll and the backup roll.

[0016] The beneficial effects of the present invention are as follows: by comprehensively considering the rolling characteristics of the hot strip finishing mill group and the influence of factors such as rolling pressure, bending roll force, strip width, total rolling length, etc. on the wear of the support rolls, the wear of the support rolls of the hot strip finishing four-roll mill under specific conditions is calculated, and then the dynamic prediction of the wear of the support rolls of the four-roll mill is completed, the accuracy of the plate convexity and plate shape control model of the hot strip rolling mill is improved, thereby improving the economic benefits of on-site strip production. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the method of the present invention;

[0018] Figure 2 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 17000m in Example 1 of the present invention;

[0019] Figure 3 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 19000m in Example 1 of the present invention;

[0020] Figure 4 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 21000m in Example 1 of the present invention;

[0021] Figure 5 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 23000m in Example 1 of the present invention;

[0022] Figure 6 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 25000m in Example 1 of the present invention;

[0023] Figure 7 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 17000m in Example 2 of the present invention;

[0024] Figure 8 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 19000m in Example 2 of the present invention;

[0025] Fig. 9 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 21000m in Example 2 of the present invention;

[0026] Fig.10 is a schematic diagram of the total wear amount of the support roller when the total rolling length is 23000m in Example 2 of the present invention;

[0027] Fig.11 It is a schematic diagram of the total wear of the support rollers when the total rolling length is 25000 m in Example 2 of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the invention implementation cases clearer, the technical solutions in the implementation cases of the present invention will be clearly and completely described below in conjunction with the drawings in the implementation cases. Obviously, the implementation cases described are only a small part of the implementation cases of the present invention, rather than all the implementation cases. Based on the implementation cases in the present invention, all other implementation cases obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] A method for predicting wear of a support roll of a four-high rolling mill comprises the following steps:

[0030] (A) Collect hot rolling finishing equipment parameters, rolling process parameters and strip parameters; (B) Divide the support roll body, work roll body and strip width, and calculate the relevant parameters defined in the process; (C) Calculate the correlation function m between load and deflection change ij 、n ij , and the correlation function m between the bending roll force and the supporting force and the deflection change s1i 、m s2i 、n p1i 、n p2i (D) Calculate the roller pressure value P of each section according to the metal plastic deformation model and the roller elastic deformation modeli And rolling pressure value P` j ; (E) Calculate the total wear amount Q2(x) of the support roller based on the model.

[0031] In the step (A), the relevant parameters in the rolling process include the length L of the support roll of the specific stand b , the working roll radius R of a specific stand w , support roller radius R b , strip elastic modulus and Poisson's ratio E, ν, strip width b, bending roll force S during strip rolling, rolling pressure P, strip rolling temperature T s , the average thickness of the strip at the entrance of a specific stand H, the average thickness at the exit h, the center distance of the support roller support force l P , center distance of working roll bending force l S and the total rolling length L t .

[0032] In the step (B), the relevant parameters in the rolling process are the length of the support roller body and the generalized rolling pressure, which is divided into 2a+1 segments in the transverse direction, and the non-zero part of the rolling pressure is divided into 2b+1 segments. For the convenience of calculation, n2=2a+1 and n1=2b+1 are set, wherein n2 is the length of the support roller body and the total number of transverse segments of the generalized rolling pressure, and n1 is the total number of segments of the non-zero part of the rolling pressure. Two of the segments are set as i, j∈{1,2,...,2a+1}, and the influence function m of the deflection of the working roller and the support roller in the i segment caused by the load in the j segment is ij 、n ij , the influence function of the left and right support forces on the deflection of the i-th section working roll and support roll n P1i 、n P2 i, j-th roller pressure value P j , rolling pressure value P' in the jth section j and the total rolling force P for a particular stand.

[0033] In the step (C), the influence function m of the change in the deflection of the i-th section working roll and the support roll caused by the j-th section load is calculated based on the influence function model. ij 、n ij , and the influence function m of the left and right bending roll forces on the deflection change of the i-th section working roll and support roll s1i 、m s2i , the calculation model is as follows:

[0034]

[0035] Where: k = 10 / 9, In the step (D), the calculation model is as follows:

[0036]

[0037] Where: K is the flexibility coefficient of the working roll and the support roll flattening each other, β is the rigid rotation angle of the working roll relative to the support roll, and after solving, β=0, C1 and C2 are process functions, B is half of the contact width of the two rolls, and q * It is the contact pressure per unit roller length.

[0038] In the step (E), the calculation model is as follows;

[0039]

[0040] Where: L t is the total rolling length, R1(x) and R2(x) are the load radius distribution values ​​of the working roll and the backup roll, k1 and k2 are the sliding friction coefficients between the working roll and the backup roll, g2 is the rolling friction coefficient, and R 1c (x), R 2c (x) is the original grinding radius distribution value of the working roll and the backup roll, R 1t (x), R 2t (x) is the radial distribution value of thermal crown of working roll and backup roll, R 1m (x), R 2m (x) is the wear distribution value of the working roll and the backup roll.

[0041] Embodiment 1:

[0042] Taking a product with a steel grade of 510L and a specification of 1550 mm×9.0 mm (width×thickness) as an example, a method for predicting wear of a support roll of a four-roller rolling mill described in the present invention is described in detail.

[0043] First, in step (A), relevant parameters of the rolling process are collected, mainly the length L of the support roll of the specific stand b =2050mm, working roll radius R of a specific stand w =425mm, support roller radius R b =800mm, strip elastic modulus and Poisson's ratio E = 210000MPa, ν = 0.3, strip width b = 1550mm, bending roll force S during strip rolling = 80t, rolling pressure P = 2313.7t, strip rolling temperature T s =980℃, the average entrance thickness of the strip steel of the specific rack is H=43.05mm, the average exit thickness is h=30.22mm, and the center distance of the support roller support force is l P =1600mm, center distance of working roll bending force l S =1650mm, total rolling length L t =[170000, 19000, 21000, 23000, 25000]m.

[0044] Then, in step (B), the relevant parameters in the rolling process are mainly defined as the length of the support roll body and the generalized rolling pressure, which is divided into 2a+1 segments in the transverse direction, and the non-zero part of the rolling pressure is divided into 2b+1 segments. For the convenience of calculation, n2=2a+1 and n1=2b+1 are set, wherein n2 is the total number of transverse segments of the support roll body and the generalized rolling pressure, and n1 is the total number of segments of the non-zero part of the rolling pressure. Two of the segments are set as i, j∈{1,2,...,2a+1}, and the influence function m of the deflection of the working roll and support roll in the i segment caused by the load of the j segment is ij 、n ij , the influence function of the left and right support forces on the deflection of the i-th section working roll and support roll The j-th roller pressure value P j , rolling pressure value P' in the jth section j , the total rolling force P for a particular stand;

[0045] Then, in step (C), the influence function m of the change in the deflection of the working roll and the backup roll in the i-th section caused by the load in the j-th section is calculated based on the influence function model. ij 、n ij , and the influence function of the left and right bending roll forces on the deflection change of the i-th section working roll and support roll And the calculation model is as follows:

[0046]

[0047] Where: k = 10 / 9,

[0048] Then, in step (D), the inter-roller pressure value P of each section is calculated according to the metal plastic deformation model and the roller system elastic deformation model. i And rolling pressure value P' j , the roller pressure value P of each section in this example i =[83.19, 70.52, 63.96, 62.69, 61.72, 61.06, 60.44, 59.86, 59.31, 58.80, 58.31, 57.86, 57.44, 57.05, 56.71, 56.40, 56.14, 55.94, 55.79, 55.72, 55.69, 5 5.72, 55.79, 55.94, 56.14, 56.40, 56.71, 57.05, 57.44, 57.86, 58.31, 58.80, 59.31, 59.86, 60.44, 61.06, 61.72, 62.69, 63.96, 70.52, 83.19]t; and rolling pressure value P' j=[89.83, 87.04, 84.38, 81.85, 79.46, 77.22, 75.14, 73.23, 71.49, 69.95, 68.61, 67.50, 66.62, 66.00, 65.66, 65.54, 65.66, 66.00, 66.62, 67.50, 68.61, 69.95, 71.49, 73.23, 75.14, 77.22, 79.46, 81.85, 84.38, 87.04, 89.83]t, the calculation model is as follows:

[0049]

[0050] Where: K is the flexibility coefficient of the working roll and the support roll flattening each other, β is the rigid rotation angle of the working roll relative to the support roll, and after solving, β=0, C1 and C2 are process functions, B is half of the contact width of the two rolls, and q * It is the contact pressure per unit roller length.

[0051] (E) Calculate the total wear of the support rollers in the roller contact area Q2(x) according to the model. t1 =17000m, the total wear of the support roller in each section is Q 2_1 =[4.529, 3.127, 2.607, 2.512, 2.442, 2.392, 2.347, 2.305, 2.266, 2.2 31, 2.198, 2.168, 2.141, 2.118, 2.079, 2.064, 2.052, 2.044, 2.039, 2.0 37, 2.039, 2.044, 2.052, 2.064, 2.079, 2.118, 2.141, 2.168, 2.192, 2.2 31, 2.266, 2.305, 2.347, 2.392, 2.442, 2.512, 2.607, 3.127, 4, 529]μm;

[0052] The rolling mileage is L t2 =19000m, the total wear of the support roller in each section is Q 2_2=[5.063, 3.496, 2.914, 2.808, 2.729, 2.674, 2.623, 2.576, 2.533, 5.493 ,2.457,2.423,2.393,2.367,2.343,2.323,2.306,2.293,2.284,2.279, 2.277, 2.284, 2.293, 2.306, 2.323, 2.343, 2.367, 2.393, 2.423, 2.457, 2 .493, 2.533, 2.576, 2.623, 2.674, 2.729, 2.808, 2.914, 3.496, 5.063]μm;

[0053] The rolling mileage is L t3 =21000m, the total wear of the support roller in each section is Q 2_3 =[5.598, 3.864, 3.221, 3.104, 3.016, 2.955, 2.899, 2.847, 2.800, 2.756, 2.715, 2.678, 2.645, 2.616, 2.590, 2.567, 2.549, 2.535, 2.524, 2.519, 2.5 17, 2.519, 2.524, 2.535, 2.549, 2.567, 2.590, 2.616, 2.645, 2.678, 2.715, 2.756, 2.800, 2.847, 2.899, 2.955, 3.016, 3.104, 3.211, 3.864, 5.598]μm;

[0054] The rolling mileage is L t4 =23000m, the total wear of the support roller in each section is Q 2_4 =[6.134, 4.233, 3.527, 3.399, 3.303, 3.237, 3.175, 3.118, 3.066, 3.018, 2.974, 2.933, 2.897, 2.865, 2.836, 2.812, 2.792, 2.776, 2.765, 2.758, 2.7 56, 2.758, 2.765, 2.776, 2.792, 2.812, 2.836, 2.865, 2.897, 2.933, 2.974, 3.018, 3.066, 3.118, 3.175, 3.237, 3.303, 3.399, 3.527, 4.233, 6.134]μm;

[0055] The rolling mileage is L t5 =25000m, the total wear of the support roller in each section is Q 2_5=[6.670, 4.601, 3.834, 3.695, 3.591, 3.518, 3.451, 3.390, 3.333, 3.280, 3.232, 3.188, 3.149, 3.113, 3.083, 3.056, 3.034, 3.017, 3.005, 2.998, 2.9 96, 2.998, 3.005, 3.017, 3.034, 3.056, 3.083, 3.113, 3.149, 3.188, 3.232, 3.280, 3.333, 3.390, 3.451, 3.518, 3.591, 3.695, 3.834, 4.601, 6.670]μm;

[0056] The calculation model is shown below;

[0057]

[0058] Where: L t is the total rolling length, R1(x) and R2(x) are the load radius distribution values ​​of the working roll and the backup roll, k1 and k2 are the sliding friction coefficients between the working roll and the backup roll, g2 is the rolling friction coefficient, and R 1c (x), R 2c (x) is the original grinding radius distribution value of the working roll and the backup roll, R 1t (x), R 2t (x) is the radial distribution value of thermal crown of working roll and backup roll, R 1m (x), R 2m (x) is the wear distribution value of the working roll and the backup roll.

[0059] The present invention controls the total rolling length of the hot rolling mill finishing mill group, comprehensively considers the rolling force, strip width, average strip inlet and outlet thickness, rolling temperature, support roll length, working roll and support roll diameter and other parameters, and finally obtains the total wear amount curve of the support roll. Figures 2 to 6 , and then realize the prediction of the wear of the support roll of the four-high rolling mill of the hot strip finishing mill to improve the accuracy of the plate crown and plate shape control model of the hot strip rolling mill.

[0060] Embodiment 2:

[0061] Taking a product with a steel grade of 700L and a specification of 1580 mm×9.8 mm (width×thickness) as an example, a wear prediction method for a support roll of a four-roll mill described in the present invention is described in detail.

[0062] First, in step (A), relevant parameters of the rolling process are collected, mainly the length L of the support roll of the specific stand b =2050mm, working roll radius R of a specific stand w=425mm, support roller radius R b =800mm, strip elastic modulus and Poisson's ratio E = 210000MPa, ν = 0.3, strip width b = 1580mm, bending roll force S during strip rolling = 80t, rolling pressure P = 2435.3t, strip rolling temperature T s =959℃, the average entrance thickness of the strip steel of a specific rack is H=30.22mm, the average exit thickness is h=21.84mm, and the center distance of the support roller support force is l P =1600mm, center distance of working roll bending force l S =1650mm, total rolling length L t =[17000,19000,21000,23000,25000]m.

[0063] Then, in step (B), the relevant parameters in the rolling process are mainly defined as the length of the support roll body and the generalized rolling pressure, which is divided into 2a+1 segments in the transverse direction, and the non-zero part of the rolling pressure is divided into 2b+1 segments. For the convenience of calculation, n2=2a+1 and n1=2b+1 are set, wherein n2 is the total number of transverse segments of the support roll body and the generalized rolling pressure, and n1 is the total number of segments of the non-zero part of the rolling pressure. Two of the segments are set as i, j∈{1,2,...,2a+1}, and the influence function m of the deflection of the working roll and support roll in the i segment caused by the load of the j segment is ij 、n ij , the influence function of the left and right support forces on the deflection of the i-th section working roll and support roll The pressure value P between the rollers in the jth section j , rolling pressure value P' in the jth section j , the total rolling force P for a particular stand;

[0064] Then, in step (C), the influence function m of the change in the deflection of the working roll and the backup roll in the i-th section caused by the load in the j-th section is calculated based on the influence function model. ij 、n ij , and the influence function of the left and right bending roll forces on the deflection change of the i-th section working roll and support roll And the calculation model is as follows:

[0065]

[0066] Where: k = 10 / 9,

[0067] Then, in step (D), the inter-roller pressure value P of each section is calculated according to the metal plastic deformation model and the roller system elastic deformation model. i And rolling pressure value P' j , the roller pressure value P of each section in this example i=[88.20, 74.08, 66.84, 65.54, 64.58, 63.91, 63.30, 62.71, 62.16, 61.65, 63.16, 60.70, 60.27, 59.87, 59.51, 59.20, 58.93, 58.72, 58.57, 58.50, 58.47, 5 8.50, 58.57, 58.72, 58.93, 58.20, 59.51, 59.87, 60.27, 60.70, 63.16, 61.65, 62.16, 62.71, 63.30, 63.91, 64.58, 65.54, 66.84, 74.08, 88.20]t; and rolling pressure value P' j =[94.96, 91.93, 89.04, 86.30, 83.72, 81.31, 79.07, 77.02, 75.16, 73.52, 72.09, 70.90, 69.97, 69.31, 68.95, 68.81, 68.95, 69.31, 69.97, 70.90, 72.09, 73.52, 75.16, 77.02, 79.07, 81.31, 83.72, 86.30, 89.04, 91.93, 94.96]t, the calculation model is as follows:

[0068]

[0069] Where: K is the flexibility coefficient of the working roll and the support roll flattening each other, β is the rigid rotation angle of the working roll relative to the support roll, and after solving, β=0, C1 and C2 are process functions, B is half of the contact width of the two rolls, and q * It is the contact pressure per unit roller length.

[0070] (E) Calculate the total wear of the support rollers in the roller contact area Q2(x) according to the model. t1 =17000m, the total wear of the support roller in each section is Q 2_1 =[4.376, 3.079, 2.580, 2.495, 2.431, 2.387, 2.346, 2.308, 2.272, 2.2 40, 2.210, 2.182, 2.157, 2.135, 2.115, 2.098, 2.084, 2.073, 2.065, 2.0 61, 2.065, 2.073, 2.084, 2.098, 2.115, 2.135, 2.157, 2.182, 2.210, 2.2 40, 2.272, 2.308, 2.346, 2.387, 2.431, 2.495, 2.580, 3.079, 4.376]μm;

[0071] The rolling mileage is L t2 =19000m, the total wear of the support roller in each section is Q 2_2 =[4.893, 3.442, 2.884, 2.789, 2.717, 2.668, 2.622, 2.579, 2.540, 2.503, 2.470, 2.439, 2.411, 2.386, 2.364, 2.345, 2.329, 2.317, 2.308, 2.3 02, 2.303, 2.308, 2.317, 2.329, 2.345, 2.364, 2.386, 2.411, 2.439, 2.470, 2.503, 2.540, 2.579, 2.622, 2.668, 2.717, 2.789, 2.884, 3.442, 4.893]μm;

[0072] The rolling mileage is L t3 =21000m, the total wear of the support roller in each section is Q 2_3 =[5.410, 3.805, 3.188, 3.082, 3.003, 2.949, 2.898, 2.851, 2.807, 2.767, 2.729, 2.695, 2.664, 2.637, 2.612, 2.592, 2.574, 2.561, 2.551, 2.546, 2.5 44, 2.546, 2.551, 2.561, 2.574, 2.592, 2.612, 2.637, 2.664, 2.695, 2.729, 2.767, 2.807, 2.851, 2.898, 2.949, 3.003, 3.082, 3.188, 3.805, 5.410]μm;

[0073] The rolling mileage is L t4 =23000m, the total wear of the support roller in each section is Q 2_4 =[5.927, 4.167, 3.491, 3.376, 3.289, 3.229, 3.174, 3.122, 3.074, 3.030, 2.989, 2.952, 2.918, 2.888, 2.861, 2.838, 2.819, 2.804, 2.794, 2.788, 2.786, 2.7 88, 2.786, 2.788, 2.794, 2.804, 2.819, 2.838, 2.861, 2.888, 2.918, 2.952, 2.9 89, 3.030, 3.074, 3.122, 3.174, 3.229, 3.289, 3.376, 3.491, 4.167, 5.927]μm;

[0074] The rolling mileage is L t5 =25000m, the total wear of the support roller in each section is Q 2_5 =[6.445, 4.530, 3.795, 3.669, 3.576, 3.510, 3.450, 3.394, 3.342, 3.294, 3.249, 3.209, 3.172, 3.139, 3.110, 3.085, 3.064, 3.048, 3.037, 3.030, 3.0 28, 3.030, 3.037, 3.048, 3.064, 3.085, 3.110, 3.139, 3.172, 3.209, 3.249, 3.294, 3.342, 3.394, 3.450, 3.510, 3.576, 3.669, 3.795, 4.530, 6.445]μm;

[0075] The calculation model is shown below;

[0076]

[0077] Where: L t is the total rolling length, R1(x) and R2(x) are the load radius distribution values ​​of the working roll and the backup roll, k1 and k2 are the sliding friction coefficients between the working roll and the backup roll, g2 is the rolling friction coefficient, and R 1c (x), R 2c (x) is the original grinding radius distribution value of the working roll and the backup roll, R 1t (x), R 2t (x) is the radial distribution value of thermal crown of working roll and backup roll, R 1m (x), R 2m (x) is the wear distribution value of the working roll and the backup roll.

[0078] The present invention controls the total rolling length of the hot rolling mill finishing mill group, comprehensively considers the rolling force, strip width, average strip inlet and outlet thickness, rolling temperature, support roll length, working roll and support roll diameter and other parameters, and finally obtains the total wear amount curve of the support roll. Figures 7 to 11 , and then realize the prediction of the wear of the support roll of the four-high rolling mill of the hot strip finishing mill to improve the accuracy of the plate crown and plate shape control model of the hot strip rolling mill.

Claims

1. A method for predicting wear of support rolls of a four-high rolling mill, characterized in that The method comprises the following steps: (A) collecting hot rolling finishing equipment parameters, rolling process parameters and strip parameters; (B) dividing the support roll body, work roll body and strip width, and calculating the relevant parameters defined in the process; (C) calculating the correlation function m between load and deflection change ij 、n ij , and the correlation function m between the bending roll force and the supporting force and the deflection change s1i 、m s2i 、n p1i 、n p2i ; (D) Calculate the inter-roller pressure value P of each section based on the metal plastic deformation model and the roller system elastic deformation model i And rolling pressure value P` j ; (E) Calculate the total wear amount Q2(x) of the support roller based on the model.

2. A method for predicting wear of a support roll of a four-high rolling mill according to claim 1, characterized in that: In the step (A), the relevant parameters in the rolling process include the length L of the support roll of the specific stand b , the working roll radius R of a specific stand w , support roller radius R b , strip elastic modulus and Poisson's ratio E, ν, strip width b, bending roll force S during strip rolling, rolling pressure P, strip rolling temperature T s , the average thickness of the strip at the entrance of a specific stand H, the average thickness at the exit h, the center distance of the support roller support force l P , center distance of working roll bending force l S and the total rolling length L t .

3. A method for predicting wear of support rolls of a four-high rolling mill according to claim 1, characterized in that: In the step (B), the relevant parameters in the rolling process are the length of the support roller body and the generalized rolling pressure, which is divided into 2a+1 segments in the transverse direction, and the non-zero part of the rolling pressure is divided into 2b+1 segments. For the convenience of calculation, n2=2a+1 and n1=2b+1 are set, wherein n2 is the length of the support roller body and the total number of transverse segments of the generalized rolling pressure, and n1 is the total number of segments of the non-zero part of the rolling pressure. Two of the segments are set as i, j∈{1,2,...,2a+1}, and the influence function m of the deflection of the working roller and the support roller in the i segment caused by the load in the j segment is ij 、n ij , the influence function of the left and right support forces on the deflection of the i-th section working roll and support roll The j-th roller pressure value P j , rolling pressure value P' in the jth section j and the total rolling force P for a particular stand.

4. A method for predicting wear of support rolls of a four-high rolling mill according to claim 1, characterized in that: In the step (C), the influence function m of the change in the deflection of the i-th section working roll and the support roll caused by the j-th section load is calculated based on the influence function model. ij 、n ij , and the influence function of the left and right bending roll forces on the deflection change of the i-th section working roll and support roll The calculation model is as follows: Where: k = 10 / 9, 5. A method for predicting wear of support rolls of a four-high rolling mill according to claim 1, characterized in that: In the step (D), the calculation model is as follows: Where: K is the flexibility coefficient of the working roll and the support roll flattening each other, β is the rigid rotation angle of the working roll relative to the support roll, and after solving, β=0, C1 and C2 are process functions, B is half of the contact width of the two rolls, and q * It is the contact pressure per unit roller length.

6. A method for predicting wear of support rolls of a four-high rolling mill according to claim 1, characterized in that: In the step (E), the calculation model is as follows; Where: L t is the total rolling length, R1(x) and R2(x) are the load radius distribution values ​​of the working roll and the backup roll, k1 and k2 are the sliding friction coefficients between the working roll and the backup roll, g2 is the rolling friction coefficient, and R 1c (x), R 2c (x) is the original grinding radius distribution value of the working roll and the backup roll, R 1t (x), R 2t (x) is the radial distribution value of thermal crown of working roll and backup roll, R 1m (x), R 2m (x) is the wear distribution value of the working roll and the backup roll.

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