A high-throughput method and system for detecting the performance of a metal material and a storage medium

Abstract

The application provides a high-throughput detection method and system for metal material performance and a storage medium, and belongs to the technical field of high-throughput detection of material performance, and comprises the following steps: preparing a sample with a wedge-shaped or right-angled trapezoidal side; rolling the wedge-shaped or right-angled trapezoidal sample by using asynchronous rolling rollers with a constant roll gap; simulating the rolling process by using software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, and when the error value is less than a preset value, calibrating the positions of different reduction amounts of the sample after actual rolling based on the result of simulated rolling; and sampling and detecting the performance based on the positions of the different reduction amounts. The sample with a wedge-shaped or right-angled trapezoidal side is calibrated in the reduction amount position by using the actual rolling process combined with the software simulated rolling process, so that the texture or performance of different reduction amounts can be measured conveniently.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of high-throughput detection of material performance, and particularly relates to a high-throughput detection method and system for metal material performance and a storage medium. BACKGROUND

[0002] It takes 10-20 years for new materials to be developed from research and development to application through the traditional trial-and-error method, which cannot meet the needs of manufacturing upgrading and iteration. Material genome technology is a new concept and method for material design and development advocated by various countries in recent years, which includes high-throughput integrated computing, high-throughput experiments and material databases. The goal is to halve the cost of new material research and development and double the efficiency of research and development, which is a strategic highland for material innovation and development. High-throughput experiments, as one of the three pillars of material genetic engineering, change the original sequential iteration method to parallel or efficient serial experiments, thereby greatly improving the efficiency of experiments. It contains two basic points: one is the rapid preparation of samples, i.e. high-throughput preparation, and the other is the rapid characterization of sample structure and performance, i.e. high-throughput characterization.

[0003] However, there is no method for rolling the same sample to detect the metal texture and performance under different reduction rates in the prior art. The main reason is that the metal flow of the same sample under different reduction rates is different from the flow rule of multiple samples under different reduction rates, thereby causing differences in texture and performance. SUMMARY

[0004] To solve the above problems, the application provides a high-throughput detection method and system for metal material performance and a storage medium. By using the actual rolling process and the software simulation rolling process to calibrate the reduction position of the rolled sample, the texture or performance under different reductions can be measured.

[0005] To achieve the above purpose, the technical solution adopted by the application is as follows:

[0006] The application provides a high-throughput detection method for metal material performance, which comprises: preparing a sample with a wedge-shaped or right-angled trapezoidal side; rolling the wedge-shaped or right-angled trapezoidal sample with a constant roll gap; simulating the rolling process with software, comparing the length and width of the actual rolled sample with the length and width of the simulated rolled sample, calculating the error value of the length and width, and when the error value is less than a preset value, calibrating the position of different reductions of the actual rolled sample based on the results of the simulated rolling; sampling and detecting the performance based on the position of the different reductions.

[0007] Further, when the side of the sample is a right-angled trapezoid, the ratio of the lower base of the right-angled trapezoid sample to the length of the upper base of the right-angled trapezoid sample is not greater than 5(1-r), the ratio of the width of the lower base of the right-angled trapezoid sample to the height of the lower base is not less than 7, and the ratio of the height of the right-angled trapezoid to the length of the lower base is 3-7, wherein r is the initial reduction ratio; when the side of the sample is a wedge, the wedge is formed by extending the waist on both sides of the upper base of the right-angled trapezoid sample.

[0008] Further, the right-angled trapezoid sample is rolled by rollers, the roller radius used for rolling is at least 2 times the height of the right-angled trapezoid sample, and the reduction amount in the initial stage of rolling is not less than 10%.

[0009] Further, the rolling is simulated and the actual rolling is asynchronous rolling, wherein the linear speed of the roller on the side with the oblique side is less than the linear speed of the roller on the other side.

[0010] Further, the asynchronous ratio of the asynchronous rolling is The following formula is satisfied:

[0011] ;

[0012] Wherein, The absolute value of the difference between the lower base of the right-angled trapezoid sample and the length of the upper base of the right-angled trapezoid sample or the length of the wedge-shaped base is L, and the height of the right-angled trapezoid sample or the height of the wedge is L.

[0013] Further, the minimum linear speed of the roller is 8mm / s-10mm / s.

[0014] Further, the rolling process is simulated by ABAQUS, COMSOL Multiphysics, ANSYS or DEFORM software.

[0015] Further, the simulation of the rolling process includes: modeling and defining the material properties of the roller and the sample; setting the simulation time and step; setting the friction coefficient according to the actual situation; setting the roller linear speed according to the actual situation; dividing the grid and calculating.

[0016] The embodiment of the present application also provides a high-throughput detection system for metal material performance, which comprises: a sample preparation module, the sample preparation module is used for preparing a sample with a wedge-shaped or right-angled trapezoidal side; a software simulation module, the software simulation module simulates the rolling process by software; a calibration module, the calibration module compares the length and width of the sample after actual rolling with the length and width of the sample after simulation rolling, calculates the error value of the length and width, and when the error value is less than a preset value, the position of different reduction amounts of the sample after actual rolling is calibrated based on the result of simulation rolling; and a detection module, the detection module samples and detects the performance based on the position of different reduction amounts.

[0017] The embodiment of the present application also provides a computer storage medium, which stores a computer program, when executed, to implement the following method: designing the size of a sample with a wedge shape or a right-angled trapezoidal shape for processing of the sample; modeling based on the size and simulating a rolling process, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating error values of the length and width, when the error values are less than preset values, then calibrating positions of different reductions of the sample after actual rolling based on the result of simulated rolling; sampling based on the positions of different reductions and detecting the performance.

[0018] The technical scheme provided by the embodiment of the present application has the following beneficial effects: the wedge rolling high-throughput technology provided by the present application belongs to the category of high-throughput preparation technology, and multiple samples with different reductions can be obtained through one rolling process. By comparing the actual rolling process with the simulated rolling process, when the error values of the length and width are less than preset values, it is indicated that the rolling process is the same as the simulated result, and then the positions of different reductions of the sample after rolling can be calibrated based on the simulated result, and sampling can be performed based on the positions of different reductions and the performance can be detected. This method not only reduces the dependence on special equipment, but also greatly simplifies the preparation process, and has a wide application prospect. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical scheme in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 A sample with a right-angled trapezoidal side prepared by the embodiment of the present application is shown in the figure;

[0021] Figure 2 A sample with a wedge-shaped side prepared by the embodiment of the present application is shown in the figure;

[0022] Figure 3 A rolling process provided by the embodiment of the present application is shown in the figure;

[0023] Figure 4 A morphology diagram of the sample after rolling provided by the embodiment 1 of the present application is shown in the figure;

[0024] Figure 5 A sample with an isosceles trapezoidal side provided by the comparative example 1 of the present application is shown in the figure.

[0025] The figure legend: 1, upper roller; 2, lower roller; 3, sample. DETAILED DESCRIPTION

[0026] In order to make the objects, technical solutions and advantages of the present application clearer, the following further describes the present application in detail with reference to the accompanying drawings and specific embodiments.

[0027] The embodiment of the present application provides a high-throughput detection method for metal material performance, which comprises the following steps: preparing a sample with a wedge-shaped or right-angled trapezoidal side face; rolling the wedge-shaped or right-angled trapezoidal sample by using a rolling mill with a constant roll gap; simulating the rolling process by using software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, and when the error value is less than a preset value, calibrating the positions of different reduction amounts of the sample after actual rolling based on the result of simulated rolling; and sampling and detecting the performance based on the positions of different reduction amounts.

[0028] The wedge-shaped rolling high-throughput technology provided by the present application belongs to the category of high-throughput preparation technology, and multiple samples with different reduction amounts can be obtained through one rolling process. By comparing the actual rolling process with the simulated rolling process, when the error value of the length and width is less than a preset value, it is indicated that the rolling process is the same as the simulated result, and then the positions of different reduction amounts of the sample after rolling can be calibrated based on the simulated result, and sampling and detecting the performance based on the positions of different reduction amounts. This method not only reduces the dependence on special equipment, but also greatly simplifies the preparation process, and has a wide application prospect.

[0029] It should be pointed out that the sample provided by the embodiment of the present application has a wedge-shaped or right-angled trapezoidal side face, which has a certain thickness, the thickness direction is the surface to be rolled, and the side face is a free surface. In the rolling process, the normal line of the sample side face is parallel to the rotation axis of the rolling mill, and the wedge-shaped top angle or the upper base of the right-angled trapezoidal shape is fed into the rolling mill for rolling.

[0030] The sample with a wedge-shaped or right-angled trapezoidal side face is rolled by using a rolling mill with a constant roll gap, and different reduction rate plates can be obtained after rolling. Then, in the simulation of the rolling process, the properties of the material and the rolling boundary conditions are valued based on the actual situation, such as detecting the performance of the material, including thermal conductivity and density, and measuring the parameters in the rolling process, such as the friction coefficient between the rolling mill and the sample, and 1:1 modeling based on the actual rolling mill diameter, sample shape and size.

[0031] The error value of the length and width is calculated, and in the embodiment of the present application, the length and width of the sample after actual rolling are used as the standard to calculate the corresponding error value e r , that is,

[0032] ;

[0033] where P aP is the length or width of the sample after actual rolling s P is the length or width of the sample after actual rolling

[0034] The sample is taken based on the position of the different reductions, and the performance is detected. In addition to the reduction as a sampling reference factor, the sample is preferably taken in the middle 1 / 3 area of the longitudinal direction of the sample after rolling, that is, the middle 1 / 3 area of the width direction of the plate perpendicular to the rolling direction.

[0035] The performance detected in the embodiments of the present application includes texture and physical performance. The physical performance is detected by micro cantilever beam and the like for small size sample performance detection.

[0036] Specifically, as shown in Figure 1 When the side surface of the sample is a right-angled trapezoid, the ratio L2 / L1 of the length of the lower base of the right-angled trapezoidal sample to the length of the upper base of the right-angled trapezoidal sample is not greater than 5(1-r), the ratio of the width L2 of the lower base of the right-angled trapezoidal sample to the height L3 of the lower base is not less than 10, and the ratio of the height H1 of the right-angled trapezoid to the length L2 of the lower base is 3-7, wherein r is the initial reduction ratio; as shown in Figure 2 When the side surface of the sample is a wedge shape, the wedge shape is formed by extending the waist on both sides of the upper base of the above-mentioned right-angled trapezoidal sample. The above-mentioned size limitation is very important, because the present application needs to measure the texture and performance of the material with different reduction ratios in the same rolled plate, and the difficulty lies in that: during rolling, the stress state of the sample is complex, and different reductions cause changes in the flow and stress state of the metal. Specifically, during rolling, the area of the free surface on both sides of the sample with a right-angled trapezoidal or wedge-shaped side surface gradually increases, causing the metal to flow in the direction opposite to the rolling direction to be blocked, and the flow in the rolling direction to increase, thus causing the organization of the material to be inconsistent with the actual situation. Based on the above consideration, the present application first limits the size of the upper base and the lower base of the right-angled trapezoidal sample to avoid the angle between the inclined edge of the wedge shape or the waist of the right-angled trapezoid and the right-angled edge being too large, which seriously affects the flow characteristics of the metal. Secondly, the present application uses a right-angled trapezoid instead of an isosceles trapezoid, taking into account that the right-angled edge can accommodate more metal to flow to the right-angled edge, avoiding more metal flowing in the direction opposite to the rolling direction during rolling.

[0037] Secondly, it needs to be explained that the inventors have conducted tests on samples with stepped, elliptical and isosceles trapezoidal side surfaces, and found that the results of using a right-angled trapezoid are more similar to the actual situation, while the results of other shapes of side surfaces are quite different from the true flow. The main reason is that the metal flow is abnormal during rolling, that is, even if the length and width error of the sample after actual rolling is less than 2%, there is still a problem of inaccurate detection results.

[0038] The straight-angle trapezoidal sample is rolled by rollers, the roller radius is at least 2 times greater than the height of the straight-angle trapezoidal sample, and the reduction in the initial stage of rolling is not less than 10%. Specifically, the greater the roller radius, the greater the contact area with the sample, thereby increasing the resistance of the metal to flow in the direction opposite to the rolling direction; secondly, the greater the contact area, the greater the tendency of the sample to move to both sides during rolling, because the material in the center of the sample is in a three-way stress state, while the material at the edge is in a two-way stress state, and the two-way stress and three-way stress organizations are different, which makes the detection result inaccurate, especially the determination of the texture. Finally, the reduction in the initial stage of rolling is not less than 10%, which facilitates biting and increases the scope of performance detection. If the reduction is too small, the initial detection result is inaccurate, and the greater the reduction, the less the data of high-throughput detection.

[0039] For wedge rolling, a position with a reduction of not less than 10% can be directly selected for sampling and performance detection.

[0040] The simulation rolling and the actual rolling adopt asynchronous rolling, in which the linear speed of the roller on one side of the bevel is less than that on the other side. As shown in Figure 3 , including the upper roller 1 and the lower roller 2, the sample 3 with a straight-angle trapezoidal side surface advances along the arrow direction, which is the rolling direction. The speed of the roller on one side of the bevel, i.e. the rotating speed of the upper roller 1, is less than that of the lower roller 2. Because the contact area of the upper roller 1 with the straight-angle trapezoidal bevel of the sample 3 is large, and the contact area of the lower roller 2 with the straight-angle of the sample is small, during rolling, the excess metal in the rolling process can flow from the vicinity of the upper roller 1 to the vicinity of the lower roller 2, and through the high rotating speed of the roller 2, the problem of resistance of the metal to flow in the direction opposite to the rolling direction during rolling is reduced, avoiding the excessive rubbing degree of the roller and the sample, and the large error of the texture and performance test, which seriously deviates from the actual result.

[0041] Further, the asynchronous ratio of the asynchronous rolling is satisfies the following formula:

[0042] ;

[0043] wherein, is the absolute value of the difference between the lower base length L2 of the straight-angle trapezoidal sample and the upper base length L1 of the straight-angle trapezoidal sample or the length L2 of the wedge base, and H is the height of the straight-angle trapezoidal sample or the height of the wedge, i.e. when the side surface of the sample is a straight-angle trapezoid, H takes H1, and when the side surface of the sample is a wedge, H takes H2.

[0044] Preferably, the minimum linear speed of the roller is 8-10 mm / s.

[0045] The rolling process is simulated by ABAQUS, COMSOL Multiphysics, ANSYS or DEFORM software. The simulation of the rolling process includes: modeling and defining the material properties of the rollers and the sample; setting the simulation time and step; setting the friction coefficient according to the actual situation; setting the rolling speed and the roller linear speed according to the actual situation; dividing the grid and calculating.

[0046] In the embodiment of the application, after the initial model is constructed, the material properties of the rollers and the steel plate are defined, such as thermal conductivity, density, etc. An analysis step is created, the Dynamic, Explicit module is selected, and the simulation time and step of the analysis step are set, the simulation time is 22s, and the step is 0.12s. The interaction between the upper and lower rollers and the steel plate is set, and the friction coefficient is set to 0.35. The boundary conditions are defined, the rotational angular velocity of the upper and lower rollers and the moving speed of the steel plate are set, the rotational angular velocity is 0.4 rad / s, the moving speed is 10 mm / s, and the movement in other directions is limited. The rollers and the steel plate are meshed, and the approximate global size is 4 and 2, respectively. Finally, a Job is created for calculation.

[0047] The embodiment of the application also provides a high-throughput detection system for metal material performance, which comprises: a sample preparation module, which is used for preparing a sample with a wedge-shaped or right-angled trapezoidal side; a software simulation module, which simulates a rolling process by using software; a calibration module, which compares the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculates the error value of the length and width, and when the error value is less than a preset value, calibrates the positions of different reduction amounts of the sample after actual rolling based on the results of the simulated rolling; and a detection module, which samples and detects the performance based on the positions of the different reduction amounts.

[0048] When the side of the sample is a right-angled trapezoidal shape, the ratio of the lower base of the right-angled trapezoidal sample to the length of the upper base of the right-angled trapezoidal sample is not greater than 1.25, the ratio of the width of the lower base of the right-angled trapezoidal sample to the height of the lower base is not less than 7, and the ratio of the height of the right-angled trapezoidal sample to the length of the lower base is 3-7; when the side of the sample is a wedge shape, the wedge shape is formed by extending the waist on both sides of the upper base of the above-mentioned right-angled trapezoidal sample.

[0049] The right-angled trapezoidal sample is rolled by rollers, the radius of the rollers used for rolling is greater than at least 2 times the height of the right-angled trapezoidal sample, and the reduction amount at the initial stage of rolling is not less than 10%.

[0050] The simulation rolling and the actual rolling adopt asynchronous rolling, in which the linear speed of the roller located on the side with an inclined side is less than the linear speed of the roller located on the other side.

[0051] The asynchronous ratio of the asynchronous rolling satisfies the following formula:

[0052] ;

[0053] wherein, L is the length of the lower base of the right-angled trapezoidal sample or the length of the wedge-shaped base, and H is the height of the right-angled trapezoidal sample or the height of the wedge. The minimum linear speed of the roller is 8 mm / s-10 mm / s.

[0054] The Abaqus software is used to simulate the rolling process. The simulation of the rolling process includes: modeling and defining the material properties of the roller and the sample; setting the simulation time and step; setting the friction coefficient according to the actual situation; setting the rolling speed and the linear speed of the roller according to the actual situation; dividing the grid and calculating.

[0055] The embodiment of the present application also provides a computer storage medium, which stores a computer program, when executed, to implement the following method: designing the size of the wedge-shaped or right-angled trapezoidal sample for processing of the sample; modeling based on the size and simulating the rolling process, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, when the error value is less than a preset value, then calibrating the positions of different reductions of the sample after actual rolling based on the result of the simulated rolling; sampling and detecting the performance based on the positions of the different reductions.

[0056] When the side surface of the sample is a right-angled trapezoid, the ratio of the lower base of the right-angled trapezoidal sample to the length of the upper base of the right-angled trapezoidal sample is not greater than 5(1-r), the ratio of the width of the lower base of the right-angled trapezoidal sample to the height of the lower base is not less than 7, and the ratio of the height of the right-angled trapezoid to the length of the lower base is 3-7, wherein r is the initial reduction rate; when the side surface of the sample is a wedge, the wedge is formed by extending the waist on both sides of the upper base of the above-mentioned right-angled trapezoidal sample.

[0057] The right-angled trapezoidal sample is rolled by a roller, the radius of the roller used for rolling is greater than at least 2 times the height of the right-angled trapezoidal sample, and the reduction at the initial stage of rolling is not less than 10%.

[0058] The simulated rolling and the actual rolling adopt asynchronous rolling, wherein the linear speed of the roller located on the side with an inclined edge is less than the linear speed of the roller on the other side.

[0059] The asynchronous ratio of the asynchronous rolling is

[0060] satisfies the following formula:

[0061] ;

[0062] wherein,​ L is the absolute value of the difference between the lower base of the right-angled trapezoidal sample and the length of the upper base of the right-angled trapezoidal sample or the length of the wedge-shaped base, and H is the height of the right-angled trapezoidal sample or the height of the wedge.

[0063] The minimum linear speed of the roller is 8 mm / s-10 mm / s.

[0064] In order to verify that the high-throughput detection method provided by the present application has the same effect as rolling a plurality of samples at different reduction rates, the present application uses a micro cantilever beam detection method to measure the mechanical properties at different reductions. The measurement method is shown in the invention patent with publication number CN118335255A. The same micro cantilever beam shape and size are used to measure the strength of the micro cantilever beam. The average value of the strength of the micro cantilever beam at at least three positions under the same reduction is obtained.

[0065] The present application adopts Q235B type steel, and all uses samples with straight-angled trapezoidal side surfaces for illustration.

[0066] In order to better illustrate the embodiments of the present application, the present application will be further described in detail through specific examples.

[0067] Example 1

[0068] The present application provides a high-throughput detection method for the performance of a metal material, comprising:

[0069] S1, preparing a sample with a straight-angled trapezoidal side surface. The sample is cut into a sample to be rolled by wire cutting, and the size of the sample is: L1=10 mm, L2=45 mm, L3=320 mm, and H1=200 mm.

[0070] S2, rolling the wedge-shaped or right-angled trapezoidal sample by using a roller with a constant roll gap. The roller radius is 600 mm, the initial stage reduction is 10%, and the rolling speed is 8 mm / s during the rolling process. The upper roller and the lower roller have the same diameter and speed. The sample after rolling is shown in Figure 4 .

[0071] S3, simulating the rolling process by using software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, and through calculation, the error value of the length and width is less than 2%, and the position of the sample after actual rolling at different reductions is calibrated based on the result of the simulated rolling.

[0072] S4, sampling based on the position of the different reductions to detect the strength of the micro cantilever beam.

[0073] Example 2

[0074] The embodiment of the present application provides a high-throughput detection method for metal material performance, comprising:

[0075] S1, preparing a sample with a straight-angled trapezoidal side. The sample is cut into a sample to be rolled in a wire cutting manner, and the size of the sample is: L1=8mm, L2=36mm, L3=260mm, and H1=108mm.

[0076] S2, rolling the wedge-shaped or straight-angled trapezoidal sample by using a roller with a constant roll gap. The roller radius is 600mm, the initial stage reduction is 10%, in the rolling process, the upper roller and the lower roller adopt the same diameter and rotating speed, and the rolling speed is 9mm / s.

[0077] S3, simulating the rolling process by using software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error values of the length and width, through calculation, the error values of the length and width are all less than 2%, and the positions of different reductions of the sample after actual rolling are calibrated based on the result of simulated rolling.

[0078] S4, sampling based on the positions of the different reductions to detect the strength of the micro cantilever beam.

[0079] Embodiment 3

[0080] The embodiment of the present application provides a high-throughput detection method for metal material performance, comprising:

[0081] S1, preparing a sample with a straight-angled trapezoidal side. The sample is cut into a sample to be rolled in a wire cutting manner, and the size of the sample is: L1=8mm, L2=36mm, L3=260mm, and H1=108mm.

[0082] S2, rolling the wedge-shaped or straight-angled trapezoidal sample by using a roller with a constant roll gap. The roller radius is 600mm, the initial stage reduction is 10%, in the rolling process, the upper roller and the lower roller adopt the same diameter and rotating speed, and the rolling speed is 9mm / s.

[0083] S3, simulating the rolling process by using software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error values of the length and width, through calculation, the error values of the length and width are all less than 2%, and the positions of different reductions of the sample after actual rolling are calibrated based on the result of simulated rolling.

[0084] S4, sampling based on the positions of the different reductions to detect the strength of the micro cantilever beam.

[0085] Embodiment 4

[0086] The embodiment of the present application provides a high-throughput detection method for metal material performance, comprising:

[0087] S1, preparing a sample with a straight rectangular trapezoidal side. The sample to be rolled is cut in a wire cutting manner, and the size of the sample is: L1=10 mm, L2=45 mm, L3=320 mm, H1=200 mm.

[0088] S2, rolling the wedge-shaped or rectangular trapezoidal sample by using a constant roll gap. The roll radius is 600 mm, the initial stage reduction is 10%, the roll radius is 600 mm, the initial stage reduction is 10%, asynchronous rolling is adopted, the linear speed of the upper roll is 8 mm / s, and the linear speed of the lower roll is calculated by the following formula:

[0089] ;

[0090] =1.16, the linear speed of the lower roll is 8*1.16 mm / s, that is, 9.3 mm / s.

[0091] S3, simulating the rolling process by using software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, through calculation, the error value of the length and width is less than 2%, and the position of different reductions of the sample after actual rolling is calibrated based on the result of simulated rolling.

[0092] S4, sampling based on the position of the different reductions to detect the strength of the micro cantilever beam.

[0093] Example 5

[0094] The embodiment of the application provides a high-throughput detection method for metal material performance, comprising:

[0095] S1, preparing a sample with a straight rectangular trapezoidal side. The sample to be rolled is cut in a wire cutting manner, and the size of the sample is: L1=15 mm, L2=65 mm, L3=460 mm, H1=250 mm.

[0096] S2, S2, rolling the wedge-shaped or rectangular trapezoidal sample by using a constant roll gap. The roll radius is 600 mm, the initial stage reduction is 10%, asynchronous rolling is adopted, the linear speed of the upper roll is 10 mm / s, and the linear speed of the lower roll is calculated by the following formula:

[0097] ;

[0098] =1.18, the linear speed of the lower roll is 10*1.18, that is, 11.8 mm / s.

[0099] S3, the length and width of the sample after actual rolling are compared with the length and width of the sample after simulation rolling, the error values of the length and width are calculated, through calculation, the error values of the length and width are less than 2%, and the positions of different reductions after actual rolling are calibrated based on the results of simulation rolling.

[0100] S4, sampling based on the positions of different reductions to detect the strength of the micro cantilever beam.

[0101] Experimental example

[0102] Seven plates with the same size were prepared according to reductions of 10%, 20%, 30%, 40%, 50%, 60% and 70% and were rolled, samples were taken in the middle of the rolled samples, for each reduction sample, the strength of the micro cantilever beam was determined at 5 positions, and the average value was taken.

[0103] Comparative example 1

[0104] Different from example 1, in step S1 of the comparative example, an isosceles trapezoid was prepared, that is, as shown in Figure 5 The size of the isosceles trapezoid is: L1=10mm, L2=45mm, L3=320mm, H1=200mm.

[0105] S4, sampling based on the positions of different reductions to detect the strength of the micro cantilever beam.

[0106] Comparative example 2

[0107] Different from example 1, in step S1 of the comparative example, a sample with a right-angled trapezoidal side surface was prepared. The sample was cut into a sample to be rolled by wire cutting, and the size of the sample was: L1=10mm, L2=50mm, L3=320mm, H1=200mm.

[0108] S4, sampling based on the positions of different reductions to detect the strength of the micro cantilever beam.

[0109] Comparative example 3

[0110] Different from example 1, in step S1 of the comparative example, a sample with a right-angled trapezoidal side surface was prepared. The sample was cut into a sample to be rolled by wire cutting, and the size of the sample was: L1=10mm, L2=45mm, L3=320mm, H1=2.8×L2=126mm.

[0111] S4, sampling based on the positions of different reductions to detect the strength of the micro cantilever beam.

[0112] Comparative example 4

[0113] Different from example 1, in step S1 of the present comparative example, a sample with a straight-angled trapezoidal side surface is prepared. The sample is cut into a sample to be rolled by wire cutting, and the size of the sample is L1=10mm, L2=45mm, L3=320mm, H1=7.2×L2=324mm, and the value is taken as 325mm for the convenience of processing.

[0114] The micro cantilever strength is detected by sampling based on the positions of the different reductions.

[0115] Comparative example 5

[0116] Different from example 1, in step S2 of the present comparative example, the wedge-shaped or straight-angled trapezoidal sample is rolled by rollers with a constant roll gap, and the roll radius is 200mm.

[0117] The micro cantilever strength is detected by sampling based on the positions of the different reductions.

[0118] The yield strengths of the samples prepared in the above examples and comparative examples at different reductions are shown in Table 1.

[0119] Table 1: The strengths of the samples prepared in the examples and comparative examples at different reductions

[0120]

[0121] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for high-throughput detection of properties of metallic materials, characterized in that, The method comprises: preparing a sample with a wedge-shaped or right-trapezoidal side; rolling the wedge-shaped or right-trapezoidal sample with a constant roll gap; simulating the rolling process with software, comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, and when the error value is less than a preset value, calibrating the positions of different reductions of the sample after actual rolling based on the results of simulated rolling; sampling and detecting the performance based on the positions of different reductions; when the side of the sample is a right-trapezoidal shape, the ratio of the lower base of the right-trapezoidal sample to the length of the upper base of the right-trapezoidal sample is not greater than 5(1-r), the ratio of the width of the lower base of the right-trapezoidal sample to the height of the lower base is not less than 7, and the ratio of the height of the right-trapezoidal sample to the length of the lower base is 3-7, where r is the initial reduction ratio; when the side of the sample is a wedge shape, the wedge shape is formed by extending the waist on both sides of the upper base of the right-trapezoidal sample.

2. The high-throughput detection method according to claim 1, wherein: the right-trapezoidal sample is rolled with a roll radius that is at least 2 times the height of the right-trapezoidal sample, and the reduction at the initial stage of rolling is not less than 10%.

3. The high-throughput detection method according to claim 2, wherein: the simulated rolling and the actual rolling are asynchronous rolling, wherein the linear speed of the roll on the side with the bevel is less than the linear speed of the roll on the other side.

4. The high-throughput detection method according to claim 3, wherein: the asynchronous ratio of the asynchronous rolling satisfies the following equation: ； wherein, is the absolute value of the difference between the lower base of the right-trapezoidal sample and the length of the upper base of the right-trapezoidal sample or the length of the wedge base, L is the height of the right-trapezoidal sample or the height of the wedge.

5. The high-throughput detection method according to claim 4, wherein: the minimum linear speed of the roll is 8-10 mm / s.

6. The high-throughput detection method according to claim 1, wherein: the rolling process is simulated with ABAQUS, COMSOL Multiphysics, ANSYS, or DEFORM software.

7. The high-throughput detection method according to claim 5, wherein: the simulated rolling process comprises: modeling and defining the material properties of the roll and the sample; setting the simulation time and step length; setting the friction coefficient according to the actual situation; setting the linear speed of the roll according to the actual situation; dividing the grid and performing calculation.

8. A high-throughput testing system for metal material properties for implementing the high-throughput testing method according to any one of claims 1 to 7, characterized in that The method comprises: a sample preparation module for preparing a sample with a wedge-shaped or right-trapezoidal side; a software simulation module for simulating the rolling process with software; a calibration module for comparing the length and width of the sample after actual rolling with the length and width of the sample after simulated rolling, calculating the error value of the length and width, and when the error value is less than a preset value, calibrating the positions of different reductions of the sample after actual rolling based on the results of simulated rolling; a detection module for sampling and detecting the performance based on the positions of different reductions.

9. A computer storage medium, characterized in that The computer storage medium stores a computer program that, when executed, implements the high-throughput detection method according to any one of claims 1-7, comprising: designing the size of the wedge-shaped or right-trapezoidal sample for sample processing; Based on the size modeling and the simulation of the rolling process, comparing the length and width of the actual sample after rolling with the length and width of the simulated sample after rolling, calculating the error value of the length and width, and when the error value is less than a preset value, then based on the result of the simulated rolling, the positions of different reductions of the actual sample after rolling are calibrated; Based on the positions of different reductions, sampling and detecting the performance.

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