Sampling method for comprehensive performance test of TA5 titanium alloy plate

Abstract

The invention discloses a sampling method for comprehensive performance testing of TA5 titanium alloy plates, and relates to the field of performance testing of metal materials. According to the method, comprehensive detection of multiple indexes such as the tensile property, the hardness and the impact toughness of the plate is realized by scientifically dividing the plate area, optimizing the sampling size and quantity and combining a dynamic self-adaptive wire cutting technology. The method comprises the specific steps that a plate is evenly divided into five areas A-E in the width direction, a front section, a middle section and a rear section are divided in the rolling direction, and the middle sections B and D are preferentially selected for sampling; determining the sample size according to performance test requirements, such as a tensile sample strip, a hardness sample strip and an impact sample strip; the linear cutting technology is adopted, finite element stress prediction, machine vision defect recognition and a parameter dynamic compensation algorithm are combined, it is ensured that a cutting path avoids a high-stress area and surface defects, and damage is reduced; and the sample quality is ensured through polishing and surface treatment.

Description

Technical Field

[0001] The invention relates to the field of metal material performance testing, in particular to a sampling method for comprehensive performance testing of a TA5 titanium alloy plate. Background Art

[0002] TA5 titanium alloy is widely used in aerospace, shipbuilding, chemical industry and many other fields due to its advantages of low density, high strength and good corrosion resistance. In practical applications, the performance of TA5 titanium alloy plates directly affects the quality and service life of the product. For example, in the aerospace field, if the fuselage structural parts of the aircraft use TA5 titanium alloy plates that do not meet the performance standards, serious accidents may occur during the flight due to the inability to withstand the pressure; in the chemical industry, if the TA5 titanium alloy plates used to manufacture reactors are not corrosion resistant enough, the reactors will leak, causing safety problems and economic losses.

[0003] At present, there are many deficiencies in the sampling method for the performance test of TA5 titanium alloy plates. Traditional sampling methods often only focus on the testing of certain specific properties, such as only focusing on tensile properties, while ignoring other important properties such as hardness and impact toughness. This makes it impossible to fully and accurately evaluate the performance of TA5 titanium alloy plates, resulting in problems caused by certain performance defects of the plates in practical applications. At the same time, the existing sampling methods lack scientific and systematic standards for determining the sampling position, size and quantity, and are random and blind. Different sampling positions may lead to large differences in test results, affecting the accurate judgment of material properties. Moreover, the irregular sampling quantity may make the test results unrepresentative and unable to truly reflect the performance of the entire batch of plates. In addition, the traditional sampling method causes great damage to the plates during the sampling process, affecting the subsequent use of the remaining plates and causing a waste of resources.

[0004] For example, the sampling method for comprehensive performance testing of titanium alloy plates in publication number CN118329498A adopts system planning, integrated calculation and graded numbering. However, the utilization rate of the center position of the titanium alloy plate is low, and when the titanium alloy plate is subjected to tensile performance test, yield performance test, ductility performance test and strength test, the sampling position distribution area is relatively concentrated, which cannot fully and accurately reflect the performance of the entire batch of plates, and the availability of the remaining plates is low.

[0005] Moreover, the traditional wire cutting method uses fixed paths and parameters, which cannot adapt to the problem of uneven stress distribution inside the plate. When the cutting path passes through the rolling stress concentration area, micro cracks are easily generated, resulting in distortion of the test results. In addition, the existing method cannot automatically avoid surface defects. According to statistics, about 15% of the samples need to be resampled due to defect interference, resulting in a waste of resources.

[0006] Therefore, it is of great practical significance to develop a scientific, comprehensive, standardized sampling method for comprehensive performance testing of TA5 titanium alloy plates with less damage to the plates. Summary of the invention

[0007] In view of the problems in the prior art, the present invention provides a sampling method for comprehensive performance testing of TA5 titanium alloy plates, so as to comprehensively and accurately evaluate the performance of TA5 titanium alloy plates, while reducing damage to the plates and improving resource utilization.

[0008] The technical solution adopted by the present invention to solve the technical problem is: a sampling method for comprehensive performance testing of TA5 titanium alloy plates, comprising the following steps: Determination of sampling position: According to the rolling direction and width of the plate, the plate is evenly divided into A, B, C, D and E areas in the width direction, and divided into the front section, middle section and back section in the rolling direction. The priority sampling area is determined as the B and D areas in the middle section. The area width calculation formula is: ; The calculation formula for segment length is: ; Determination of sampling size: Determine the size of the tensile test specimen as follows: length L = 200mm, width W = 20mm, thickness T = actual thickness of the plate; the hardness test specimen size is a square with a side length of 30mm, and the thickness is the actual thickness of the plate; the impact toughness test specimen size is as follows: length l = 55mm, width w = 10mm, thickness t = actual thickness of the plate; Determination of sampling quantity: 5 specimens are taken for tensile performance test, from different positions; 3 specimens are taken for hardness test, 1 each in the B, C and D areas in the middle section; 5 specimens are taken for impact toughness test, distributed in different key positions; Sampling operation: Wire cutting is used for sampling, the cutting speed is controlled at 5-10mm / min, and the cutting current is controlled at 1-2A. After cutting, the sample is polished, and the polishing sandpaper mesh numbers are 200 mesh, 400 mesh, 600 mesh, and 800 mesh respectively; The dynamic adaptive cutting path planning method is used in the wire cutting process, including the following steps: a) Plate stress distribution prediction module based on finite element analysis generates the optimal cutting path in real time; b) Machine vision defect recognition module, automatically avoiding surface defect areas; c) Dynamic compensation algorithm for cutting parameters, adjusting cutting speed and current according to sheet thickness and local stress.

[0009] Specifically, the step of determining the sampling position also includes adjusting the sampling area for special requirement plates according to the force direction and key areas of concern during use.

[0010] Specifically, different position combinations of the tensile performance test strips include different combinations of the front section, the middle section, the back section and the B and D regions.

[0011] Specifically, after grinding, the hardness test specimen needs to be tested for surface flatness, and the flatness error is controlled within ±0.05mm.

[0012] Specifically, after the impact toughness test specimen is cut, the notch needs to be specially processed, with a notch depth of 2 mm and a notch angle of 45°.

[0013] Specifically, before sampling, the wire cutting equipment needs to be calibrated to ensure that the cutting accuracy error is controlled within ±0.1mm.

[0014] Specifically, during the grinding process, the surface of the sample needs to be cleaned each time the sandpaper is changed to prevent the residual grinding particles of sandpaper with different mesh sizes from affecting the grinding effect.

[0015] Specifically, for TA5 titanium alloy plates with a thickness greater than 10 mm, the width W of the tensile properties test strip is adjusted according to the formula W=thickness T×1.5.

[0016] Specifically, when the sampling method is applied to the performance consistency test of TA5 titanium alloy plates from different production batches, each batch of plates is sampled and tested according to the same sampling rules.

[0017] Specifically, a dynamic adaptive cutting path planning method is adopted, comprising the following steps: a) Based on the finite element analysis, the plate stress distribution prediction module establishes a three-dimensional stress model, predicts the cutting deformation ≤ 0.03mm, and generates a spiral or "Z" shaped cutting path; b) Machine vision defect recognition module, using YOLO algorithm to detect surface defects, generating a buffer zone radius R = 2-5mm when the defect area is greater than 2mm²; c) Dynamic compensation algorithm for cutting parameters: when the local stress is greater than 800MPa, the cutting speed is reduced to 3-5mm / min, the current is increased to 2.0-2.5A, and the current is increased by 0.3A when the thickness T is greater than 15mm.

[0018] Beneficial effects of the present invention: (1) The sampling method for comprehensive performance testing of TA5 titanium alloy plates described in the present invention can comprehensively consider the performance differences of different areas of the plate by scientifically dividing the sampling positions, test multiple properties such as tensile properties, hardness, impact toughness, etc., and comprehensively evaluate the performance of TA5 titanium alloy plates.

[0019] (2) The sampling method for comprehensive performance testing of TA5 titanium alloy plates described in the present invention makes the test results more representative through reasonable sampling size and quantity, can accurately reflect the performance of the entire batch of plates, and reduce misjudgment caused by test errors.

[0020] (3) The sampling method for comprehensive performance testing of TA5 titanium alloy plates described in the present invention effectively reduces damage to the plates and samples by adopting wire cutting and controlling cutting parameters, as well as subsequent grinding treatment, thereby improving the utilization rate of the remaining plates and reducing costs.

[0021] (4) The sampling method for comprehensive performance testing of TA5 titanium alloy plates described in the present invention has clear operating standards and processes, which is easy to promote and apply. Different operators can obtain relatively consistent test results by sampling according to this method, thereby improving the reliability and comparability of the test.

[0022] (5) The sampling method for comprehensive performance testing of TA5 titanium alloy plates described in the present invention can reduce the incidence of microcracks during the cutting process through dynamic adaptive cutting path planning, and the verticality error of the incision is controlled within ±0.05°, which significantly improves the sample quality.

[0023] (6) The sampling method for comprehensive performance testing of TA5 titanium alloy plates described in the present invention combines defect recognition and path optimization technology to improve the effective sampling rate and reduce material loss costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0025] Figure 1 A schematic diagram of the plate area division provided by the present invention; Figure 2 This is a flow chart of the dynamic adaptive cutting path planning provided by the present invention. DETAILED DESCRIPTION

[0026] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0027] like Figure 1-Figure 2 As shown, a sampling method for comprehensive performance testing of a TA5 titanium alloy plate according to the present invention comprises the following steps: Determination of sampling position: For TA5 titanium alloy plate, the plate is divided into multiple areas according to the rolling direction and width of the plate. In the width direction of the plate, 5 areas are evenly divided from the edge to the center, marked as A, B, C, D, and E areas respectively; in the rolling direction, the plate is divided into 3 sections, namely the front section, the middle section, and the back section. The sampling position is preferably selected in the B and D areas in the middle section, because the deformation of these two areas during the rolling process is relatively uniform and the performance is more representative. The regional width calculation formula is: ; The calculation formula for segment length is: For plates with special requirements, the sampling area can be flexibly adjusted according to the force direction and key areas of concern during use.

[0028] Sampling size determination: The size of the tensile test strip is set as: length L = 200mm, width W = 20mm, thickness T = actual thickness of the plate. It also includes the adjustment method of the width of the tensile test strip. For TA5 titanium alloy plates with a thickness greater than 10mm, the width W of the tensile test strip is adjusted according to the formula W = thickness T × 1.5. The hardness test specimen size is a square with a side length of 30mm, and the thickness is the actual thickness of the plate. The impact toughness test strip size is: length l = 55mm, width w = 10mm, thickness t = actual thickness of the plate.

[0029] Determination of sampling quantity: 5 tensile test specimens are taken, from different position combinations, such as 1 in the middle section B area, 1 in the middle section D area, 1 in the front section B area, 1 in the front section D area, and 1 in the back section D area. 3 hardness test specimens are taken, 1 each in the B, C, and D areas of the middle section. 5 impact toughness test specimens are taken, also distributed in different key positions. When this sampling method is applied to the performance consistency test of TA5 titanium alloy plates from different production batches, each batch of plates is sampled and tested strictly according to the same sampling rules.

[0030] Sampling operation: The advanced slow wire cutting method is used for sampling. The cutting speed is precisely controlled at 5-10mm / min, and the cutting current is stably controlled at 1-2A, so as to minimize the thermal impact and mechanical damage to the sample during the cutting process. Before cutting, the cutting equipment is precisely calibrated using a high-precision laser calibration device to ensure that the cutting accuracy error is controlled within ±0.1mm. After cutting, the sample is finely polished, and 200 mesh, 400 mesh, 600 mesh, and 800 mesh sandpaper are used in turn to remove the cutting marks and oxide layer on the surface. During the polishing process, each time the sandpaper is changed, the surface of the sample is cleaned using an ultrasonic cleaning device to avoid the residual polishing particles of sandpaper with different mesh numbers affecting the polishing effect. For the impact toughness test specimens, the notch needs to be specially processed after cutting. The notch is made using high-precision electrospark machining equipment. The notch depth is 2mm and the notch angle is 45°. After grinding, the hardness test specimens are tested for surface flatness using a high-precision laser flatness detector to ensure that the flatness error is controlled within ±0.05mm. In addition, before and during sampling, non-destructive testing technologies such as ultrasonic testing are used to test the plates and samples to promptly detect possible internal defects and ensure the accuracy of the test results.

[0031] Furthermore, a dynamic adaptive cutting path planning method is adopted: Before cutting, a three-dimensional stress model of the plate is established through finite element analysis to predict the deformation caused by stress release during the cutting process (error ≤ 0.03mm); Automatically generate a "Z"-shaped cutting path based on the stress cloud map, giving priority to avoiding high stress gradient areas; The integrated industrial camera collects the surface image of the plate in real time, identifies defects (such as scratches and pits) through the YOLO algorithm, and automatically adjusts the path when the defect area exceeds 2mm²; The fuzzy control algorithm is used to dynamically adjust the cutting parameters: when the local stress is detected to be greater than 800MPa, the cutting speed is reduced to 3mm / min and the current is increased to 2.5A; After cutting is completed, the verticality of the cut is detected by a laser displacement sensor, and a secondary correction cut is triggered when the deviation is greater than 0.1°.

[0032] Among them, Figure 2 This is a flow chart of dynamic adaptive cutting path planning, which shows how to dynamically adjust the cutting path according to the stress distribution and surface defects of the plate in the S4 sampling operation step. Figure 1 The middle plate area division and other sampling operation processes are closely coordinated.

[0033] For the plate stress distribution prediction module of finite element analysis: Among them, 3D modeling: A three-dimensional solid model was established based on the geometric parameters of the plate (length × width × thickness), using tetrahedral meshing (unit size ≤ 2 mm) and mesh encryption in key areas (unit size ≤ 0.5 mm).

[0034] Input TA5 titanium alloy material parameters: elastic modulus E=110GPa, Poisson's ratio ν=0.34, thermal expansion coefficient α=8.6×10⁻ 6 / ℃.

[0035] Boundary condition settings Simulate the rolling process constraints: fix the bottom node of the plate and apply the displacement load in the rolling direction (speed 5-15mm / s).

[0036] Consider the influence of temperature field: set the initial temperature to 20℃, and the heat flux density q=5×10 6 W / m².

[0037] Solving and post-processing Explicit dynamics analysis was performed using ANSYS Mechanical APDL with a time step of Δt = 1×10⁻ 5 s.

[0038] The equivalent plastic strain (PEEQ) and Mises stress contours were extracted to identify high stress areas (σ ≥ 850 MPa).

[0039] Generate a stress gradient distribution curve and determine the sensitive area of ​​the cutting path (gradient > 150MPa / mm).

[0040] The three-dimensional stress field distribution matrix of the plate can be output in real time (accuracy ±3%), and the cutting path optimization coefficient K (K=σ / σ0, σ0 is the average stress) can be automatically generated.

[0041] For the machine vision defect recognition module: Among them, image acquisition and preprocessing: A linear array CCD camera was used with a parallel light source (wavelength 532 nm) to obtain images of the plate surface.

[0042] Median filtering is used to eliminate noise, and Canny edge detection is used to extract contour features.

[0043] Defect classification and location A defect recognition model is built based on YOLOv5, and the training set contains a large number of annotated images (5 types of defects such as scratches, pits, inclusions, etc.).

[0044] The defect positioning accuracy is up to ±0.1mm and the detection speed is ≥20 frames / second.

[0045] Path avoidance algorithm Establish a defect buffer model: when the defect diameter d≤2mm, the buffer radius R=3mm; when d>2mm, R=2d.

[0046] The Dijkstra algorithm is used to generate a collision-free path to ensure that the distance between the cutting path and the defect edge is ≥R.

[0047] The defect recognition accuracy is 98.7%, the false alarm rate is less than 0.5%, and the path planning time is less than 0.5 seconds / meter.

[0048] For the dynamic compensation algorithm of cutting parameters: Among them, the speed compensation model: Calculation formula of cutting speed V: ; in: (Baseline speed) (Stress Sensitivity Coefficient) (Thickness compensation factor) (Material Ultimate Stress) T is the thickness of the plate (mm) Current dynamic adjustment rules When σ<600MPa, current I=1.2A; When 600MPa≤σ<800MPa, current I=1.5A; When σ≥800MPa, current I=2.0A; When the thickness T>15mm, the current increases by 0.3A.

[0049] Real-time feedback mechanism The cutting resistance is monitored by a force sensor with an accuracy of 0.1N, and adaptive adjustment is triggered when the resistance fluctuation is greater than 15%.

[0050] The fuzzy PID controller is used, and the adjustment parameters are: Proportional coefficient Kp=1.2, integral coefficient Ki=0.5, differential coefficient Kd=0.3.

[0051] The residual stress is reduced by more than 40%, the cutting surface roughness Ra≤1.6μm, and the thickness deviation is ±0.02mm.

[0052] Module collaborative verification Test conditions: Plate specifications: 2000mm×1000mm×25mmTA5 titanium alloy Defect type: artificial prefabricated scratches (length 5mm, depth 0.3mm) Stress concentration area: central area in rolling direction (σ=950MPa).

[0053] The test results are shown in the following table:

[0054] Example 1, preparation: Select a batch of TA5 titanium alloy plates with specifications of 2000mm in length, 1000mm in width and 5mm in thickness. Prepare slow-wire cutting equipment, high-precision laser calibration equipment, grinding equipment, ultrasonic cleaning equipment, electronic universal testing machine and corresponding measuring tools, and use ultrasonic flaw detector to perform preliminary non-destructive testing on the plates.

[0055] Determine the sampling position: According to the above method, divide the width direction into 5 areas, each area is 1000 / 5=200mm wide; divide it into 3 sections in the rolling direction, each section is 2000 / 3≈667mm long. Mark the B and D areas in the middle section.

[0056] Sampling: Use wire cutting equipment to cut according to the size of the tensile performance test specimen (length 200mm, width 20mm, thickness 5mm). The cutting speed is set to 8mm / min and the current is set to 1.5A. After cutting, use 200-grit sandpaper for preliminary grinding to remove obvious cutting marks, and then put it into an ultrasonic cleaning device for cleaning to remove surface impurities.

[0057] Performance test: The polished tensile specimens were subjected to a tensile performance test. The test equipment used was an electronic universal testing machine with a loading speed of 2 mm / min.

[0058] Record the yield strength, tensile strength, elongation and other data and organize them into the following table:

[0059] Example 2, preparation work: Prepare TA5 titanium alloy plates of the same specifications as in Example 1, and prepare hardness testing equipment, high-precision laser flatness detector, and ultrasonic cleaning device.

[0060] Determine the sampling position: mark the hardness test specimen positions in the B, C, and D areas in the middle section.

[0061] Sampling: Cut out a square hardness test specimen with a side length of 30 mm and a thickness of 5 mm, and the cutting parameters are the same as those in Example 1. After cutting, grind with 200 mesh, 400 mesh, 600 mesh, and 800 mesh sandpaper in turn, and clean with an ultrasonic cleaning device after each grinding.

[0062] Performance test: Use Rockwell hardness tester to test hardness, test each sample 3 times and take the average value. Use laser flatness tester to test the surface flatness of the sample to ensure that the error is within ±0.05mm.

[0063] The test results are as follows:

[0064] Embodiment 3, preparation work: Select plates of the same specifications, prepare impact toughness testing equipment, high-precision EDM equipment, and ultrasonic cleaning equipment.

[0065] Determine the sampling position: mark the impact toughness test specimen positions at different positions such as the front section B area, the middle section D area, and the rear section D area.

[0066] Sampling: Wire cutting was performed according to the size of the impact toughness test specimen (length 55mm, width 10mm, thickness 5mm), and the cutting parameters were the same as before. Testing was performed after grinding. After cutting, the notch was processed by electrospark machining to produce a notch with a depth of 2mm and an angle of 45°. After processing, it was cleaned with an ultrasonic cleaning device.

[0067] Performance test: The test was carried out using an impact tester with a pendulum energy of 300J.

[0068] The test results are as follows:

[0069] Example 4, preparation work: prepare multiple batches of TA5 titanium alloy plates produced in different batches with the same specifications. Prepare all relevant equipment, including non-destructive testing equipment.

[0070] Sampling: Sampling of different batches of plates is carried out according to the method of the present invention, including tensile, hardness and impact toughness test specimens. Nondestructive testing is carried out before and after sampling.

[0071] Performance test: The corresponding performance tests were carried out on samples of different batches and compared with the test results of the traditional sampling method. It was found that the test results of the method of the present invention were less discrete and more accurately reflected the performance differences of different batches of plates. For example, for a batch of plates, the maximum and minimum tensile strengths tested by the traditional method differed by 50MPa, while the difference of the method of the present invention was within 20MPa. The reliability and superiority of the method of the present invention were verified through multiple batches of comparative tests.

[0072] Example 5: Preparation for dynamic cutting path verification: As in Example 1, select a TA5 titanium alloy plate with a specification of 2000mm×1000mm×20mm. Use an ultrasonic flaw detector to perform non-destructive testing on the plate to confirm that there are no macroscopic defects. Prepare a slow-wire cutting device (model: SodickAQ750L), finite element analysis software (ANSYSWorkbench2022), an industrial camera (Keyence LV-4050) and a residual stress detector (ProtoiXRD).

[0073] Specific implementation steps

[0074] Finite Element Stress Analysis A three-dimensional model of the plate was established with a grid size of 1 mm and the key areas were encrypted to 0.5 mm.

[0075] Input rolling process parameters: rolling temperature 850℃, reduction 30%, rolling speed 10mm / s.

[0076] The simulation results show that there is rolling stress concentration in the center area of ​​the plate (σ_max=950MPa, stress gradient 200MPa / mm).

[0077] Dynamic path planning Generate a spiral cutting path based on the stress cloud map to avoid high stress areas (the path is ≥50mm from the center area).

[0078] The integrated machine vision system identified the surface of the plate and found no defects that needed to be avoided (defect area < 0.5mm²).

[0079] Dynamic adjustment of cutting parameters Use fuzzy PID controller to adjust parameters in real time: Before entering the stress concentration area, the speed dropped from 8 mm / min to 4 mm / min, and the current increased from 1.5 A to 2.2 A; The cutting fluid flow rate has been increased by 20% (from 15L / min to 18L / min) to suppress thermal deformation.

[0080] Test and Comparison Five tensile specimens (size: L = 200 mm, W = 20 mm) were cut along the optimized path.

[0081] The traditional method uses straight-line cutting with fixed parameters of speed 8 mm / min and current 1.5 A.

[0082] Test indicators: residual stress (X-ray diffraction method), elongation (electronic universal testing machine).

[0083] Test results:

[0084] Results Analysis Residual stress control Dynamic cutting reduces the cutting speed and increases the current to make the cutting heat input more uniform, reducing the depth of the heat-affected zone from 0.15mm to 0.09mm and reducing the peak residual stress by 42%.

[0085] Test data stability The standard deviation of elongation decreased by 38.9%, indicating that dynamic path planning effectively avoided the interference of stress concentration on the test results and the data discreteness was significantly reduced.

[0086] Improved incision quality The verticality error is controlled at ±0.08°, which is better than the ±0.15° of the traditional method, verifying the improvement of cutting accuracy by path optimization.

[0087] This embodiment successfully solved the sampling problem of the stress concentration area of ​​thick plate (T=20mm) by combining finite element analysis with dynamic path planning technology. Compared with the traditional method, the residual stress was reduced by 42% and the test data stability was improved by 39%, which proved the significant advantages of the present invention in sampling plates in complex stress states.

[0088] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of the present invention is defined by the attached claims and their equivalents.

Claims

1. A sampling method for comprehensive performance testing of TA5 titanium alloy plates, characterized in that: The following steps are involved: S1. Determination of sampling position: According to the rolling direction and width of the plate, the plate is evenly divided into A, B, C, D and E areas in the width direction, and divided into the front section, middle section and back section in the rolling direction. The priority sampling area is determined as the B and D areas in the middle section. The area width calculation formula is: ; The calculation formula for segment length is: ; S2. Determine the sampling size: Determine the size of the tensile test specimen as follows: length L = 200mm, width W = 20mm, thickness T = actual thickness of the plate; the hardness test specimen size is a square with a side length of 30mm, and the thickness is the actual thickness of the plate; the impact toughness test specimen size is as follows: length l = 55mm, width w = 10mm, thickness t = actual thickness of the plate; S3. Determination of sampling quantity: 5 specimens are taken for tensile performance test, from different positions; 3 specimens are taken for hardness test, 1 each in the B, C and D areas in the middle section; 5 specimens are taken for impact toughness test, distributed in different key positions; S4. Sampling operation: Sampling is carried out by wire cutting, the cutting speed is controlled at 5-10mm / min, and the cutting current is controlled at 1-2A. After cutting, the sample is polished, and the polishing sandpaper mesh numbers are 200 mesh, 400 mesh, 600 mesh, and 800 mesh respectively; The dynamic adaptive cutting path planning method is used in the wire cutting process, including the following steps: a) Plate stress distribution prediction module based on finite element analysis generates the optimal cutting path in real time; b) Machine vision defect recognition module, automatically avoiding surface defect areas; c) Dynamic compensation algorithm for cutting parameters, adjusting cutting speed and current according to sheet thickness and local stress.

2. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1 is characterized in that: In the step S1, the sampling position is determined, and the sampling area is adjusted according to the force direction and key areas of concern when the plate has special requirements.

3. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1 is characterized in that: The different position combinations of the tensile performance test strips include different combinations of the front section, the middle section, the back section and the B and D regions.

4. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1 is characterized in that: After grinding, the hardness test specimens also need to be tested for surface flatness, and the flatness error is controlled within ±0.05 mm.

5. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1 is characterized in that: After the impact toughness test specimen is cut, the notch needs to be specially processed, with a notch depth of 2 mm and a notch angle of 45°.

6. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1, characterized in that: In the step S4, the wire cutting equipment needs to be calibrated before sampling to ensure that the cutting accuracy error is controlled within ±0.1 mm.

7. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1, characterized in that: During the polishing process, the surface of the sample needs to be cleaned each time the sandpaper is changed to prevent the residual polishing particles of sandpaper with different mesh sizes from affecting the polishing effect.

8. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1, characterized in that: The step S2 also includes a method for adjusting the width of the tensile performance test strip: for a TA5 titanium alloy plate having a thickness greater than 10 mm, the width W of the tensile performance test strip is adjusted according to the formula W=thickness T×1.

5.

9. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1, characterized in that: When the sampling method is applied to the performance consistency test of TA5 titanium alloy plates produced in different batches, each batch of plates is sampled and tested according to the same sampling rules.

10. The sampling method for comprehensive performance testing of TA5 titanium alloy sheet according to claim 1, characterized in that: In the step S4, a dynamic adaptive cutting path planning method is adopted, comprising the following steps: a) Based on the finite element analysis, the plate stress distribution prediction module establishes a three-dimensional stress model, predicts the cutting deformation ≤ 0.03mm, and generates a spiral or "Z" shaped cutting path; b) Machine vision defect recognition module, using YOLO algorithm to detect surface defects, generating a buffer zone radius R = 2-5mm when the defect area is greater than 2mm²; c) Dynamic compensation algorithm for cutting parameters: when the local stress is greater than 800MPa, the cutting speed is reduced to 3-5mm / min, the current is increased to 2.0-2.5A, and the current is increased by 0.3A when the thickness T is greater than 15mm.

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