A control system for mobile phone frame BEND ultrasonic detection machine

By designing a control system for mobile phone frame BEND ultrasonic detection machine, combining penetration wave and surface wave detection, the problems of large detection error and low quantitative accuracy in the existing technology are solved, and comprehensive and accurate detection of mobile phone frames are achieved.

CN118893000BActive Publication Date: 2025-03-18JIANGSU LANGKE INTELLIGENT IND TECH CO LTD
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Patent Information

Application Number
CN202410937108.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-12
Publication Date
2025-03-18
Estimated Expiration
2044-07-12

AI Technical Summary

Technical Problem

The existing mobile phone frame detection technology lacks a comprehensive, three-dimensional and systematic detection system, resulting in large detection errors of area defects, volume defects, small defects and smooth defects and limited quantitative accuracy.

Method used

A control system for mobile phone frame BEND ultrasonic detection machine is designed, including registration module, handling module, data acquisition and analysis module, database and display module. Through penetration wave detection and surface wave detection, combined with automated handling and detection processes, comprehensive monitoring of mobile phone borders is achieved.

Benefits of technology

Through penetrating wave and surface wave detection, detection errors are reduced, quantitative accuracy is improved, and comprehensive monitoring methods are provided, ensuring the reliability of detection results and the efficiency of automated processes.

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Abstract

The invention relates to the technical field of ultrasonic detection and mobile phone frame detection, and specifically to a control system for a mobile phone frame BEND ultrasonic detection machine; the control system comprises a registration module, a handling module, a data acquisition and analysis module, a database and a display module; the invention captures and quantifies the micro-bending features and micro-crack features of a mobile phone frame through penetrating wave detection and surface wave detection, thereby reducing the detection errors of area defects, volume defects, small defects and smooth defects in the detection of the mobile phone frame; the invention arranges a key point set in penetrating wave detection and controls the density of the key point set through a preset distance, and sets a layer-by-layer detection process in surface wave detection and controls the density of the detection surface through a preset depth interval, thereby improving the quantitative accuracy of the detection method and the reliability of the detection result; automatic feeding and automatic discharging in the detection process are realized through a handling module, and an automated detection process of the mobile phone frame is realized through a clamp and a conveyor belt.
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Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic detection and mobile phone frame detection, and in particular to a control system for a mobile phone frame BEND ultrasonic detection machine. Background Art

[0002] Ultrasonic testing is a technology that studies the reflected, transmitted and scattered waves through the interaction between ultrasonic waves and test pieces, detects macroscopic defects, measures geometric characteristics, detects and characterizes changes in organizational structure and mechanical properties, and then evaluates its specific applicability. Its principle is mainly based on the propagation characteristics of ultrasonic waves in the test piece, that is, the sound source generates ultrasonic waves, and a certain method is used to make the ultrasonic waves enter the test piece. The ultrasonic waves propagate in the test piece and interact with the test piece material and the defects therein, so that the propagation direction or characteristics are changed. Then the changed ultrasonic waves are received by the detection equipment, and can be processed and analyzed. Finally, according to the characteristics of the received ultrasonic waves, the test piece itself and its internal defects and the characteristics of the defects are evaluated.

[0003] Mobile phone frame inspection technology mainly includes appearance inspection, structure inspection, size inspection and defect inspection. These inspections are designed to ensure that the mobile phone frame is flat, defect-free, meets the design requirements, and is tightly integrated with other components.

[0004] However, the existing mobile phone frame detection technology has many limitations. For example, in the current mobile phone frame sample detection process, the detection range is often reduced to a few randomly selected sampling points, lacking a comprehensive, three-dimensional and systematic detection system; the detection errors for area defects, volume defects, small defects and smooth defects are large, and the quantitative accuracy is limited. In view of the above shortcomings, it is necessary to propose a control system for mobile phone frame BEND ultrasonic detection machine. Summary of the invention

[0005] The purpose of the present invention is to solve the problems existing in the background technology and to propose a control system for a mobile phone frame BEND ultrasonic detection machine.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A control system for a mobile phone frame BEND ultrasonic detection machine, including a registration module, a transport module, a data acquisition and analysis module, a database and a display module.

[0007] The registration module obtains the user's registration data, including user name, user number, user password and user category, wherein the user category includes operator and technician.

[0008] The registration module is preset with two operation modes, including operator mode and technician mode. The corresponding operation modes are matched according to the user categories in the registration data. The operator mode is granted the authority to use the handling module, data acquisition module, analysis module and display module; the technician mode is granted the authority to use all modules, and the registration data of all users is saved in the database. Users are matched to the corresponding permissions through their respective user names and user passwords.

[0009] The handling module provides six preset positions, namely: feed line, standard feed position, detection position 1, detection position 2, qualified product discharge position and unqualified product discharge position.

[0010] As a preferred embodiment of the present invention, the transport module adopts a one-in, two-test, and one-out transport mode, that is, within one test cycle, a sample to be tested is transported from the feed line to the standard feed position by a conveyor belt, and a sample to be tested is transported from the standard feed position to the test position one by a clamp and ultrasonically tested, and the sample to be tested after the test is called a preliminary test sample. A preliminary test sample is transported from the test position one to the test position two by a clamp and ultrasonically tested, and the preliminary test sample after the test is called a secondary test sample. The operation signal sent by the data acquisition and analysis module is judged, and when the operation signal is identified as an OK signal, the secondary test sample at the test position two is transported to the qualified product discharge position; when the operation signal is identified as an NG signal, the secondary test sample at the test position two is transported to the unqualified product discharge position. The secondary test samples at the qualified product discharge position and the unqualified product discharge position are transported out of the equipment by a conveyor belt.

[0011] The handling module provides a touch window for executing handling commands, and the execution commands include: start, stop, position, reset, speed up and slow down. After executing the start command, the gripper synchronously performs the following operations every preset time t: clamp a sample to be tested from the standard feed position and enter the detection position 1 for ultrasonic testing, clamp a preliminary test sample from the detection position 1 and enter the detection position 2 for ultrasonic testing, and clamp a secondary test sample from the detection position 2 according to the specific category of the operation signal and enter the qualified product discharge position or the unqualified product discharge position. After executing the stop command, the handling module stops working. When the positioning command is executed, the length a, width b and height c of the sample to be tested are obtained by the laser rangefinder and recorded as the gripping parameters of the gripper. After executing the reset command, the gripping parameters of the gripper are adjusted to the preset values: preset length a0, preset width b0 and preset height c0. After executing the speed up command, the preset time t is automatically shortened by a speed adjustment base dt to achieve a faster running speed; on the contrary, after receiving the deceleration command, the preset time t will be correspondingly extended by a speed adjustment base dt, thereby slowing down the running speed.

[0012] In the handling module, the gripper accurately performs a gripping action that fully matches its length, width and height according to the gripping parameter values, ensuring the accuracy and stability of the gripping action, allowing the gripper to flexibly adapt to objects of different sizes and shapes, and complete efficient and accurate handling tasks.

[0013] The data acquisition and analysis module conducts ultrasonic testing on the test samples at test position 1 and test position 2 respectively, specifically:

[0014] Perform penetrating wave detection and surface wave detection at test location 1:

[0015] The ultrasonic transmitting probe and the ultrasonic receiving probe are used to perform penetrating wave detection to extract the surface bending feature data of the test sample, specifically:

[0016] As a preferred embodiment of the present invention, the sample to be tested is placed flat on a test bench at a test position 1, a corner point of the bottom surface of the sample to be tested is preset as a coordinate base point O (0, 0), and a two-dimensional plane rectangular coordinate system is constructed with the long side direction of the sample to be tested as the X-axis and the short side direction of the sample to be tested as the Y-axis. A series of detection points are arranged on the top surface of the sample to be tested along the X-axis direction at intervals of a predetermined distance △x, and along the Y-axis direction at intervals of another predetermined distance △y. The detection points and the coordinate base point O (0, 0) together constitute a key point set for subsequent test analysis. The ultrasonic emission probe emits a penetrating wave to the sample to be tested in a vertical direction according to each coordinate (x, y) in the key point set, and the penetrating wave is reflected by the top surface of the sample to be tested to generate a reflected wave 1, and the penetrating wave is reflected by the bottom surface of the sample to be tested to generate a reflected wave 2. Record the waveforms of reflected wave 1 and reflected wave 2, extract the amplitude A1(x, y) of reflected wave 1 and the amplitude A2(x, y) of reflected wave 2, and calculate the attenuation coefficient β(x, y) by the formula β(x, y) = A2(x, y) / A1(x, y), where (x, y) is the coordinate of the key point set; extract the secondary echo reception time T2(x, y) and the primary echo reception time T1(x, y) of each coordinate (x, y). Calculate the receiving wave time difference △T(x, y) of each coordinate (x, y) by the formula △T(x, y) = T2(x, y)-T1(x, y). Obtain the ultrasonic transmission speed v, and calculate the distance s(x, y) from the bottom surface of the test sample to the probe by the formula s(x, y) = v / 2×△T(x, y). The meta-feature parameters B(x, y) of the key points at each coordinate (x, y) in the key point set are calculated by the formula B(x, y)=K1×β(x, y)+K2×sβ(x, y).

[0017] As a preferred embodiment of the present invention, a three-dimensional rectangular coordinate system is defined with the coordinate origin O(0, 0) as the reference point, wherein the X-axis is along the long side direction of the sample to be tested, the Y-axis is along the short side direction of the sample to be tested, and the Z-axis is perpendicular to the surface X0Y. In the three-dimensional rectangular coordinate system, each meta-feature parameter B(x, y) is mapped to a point (x, y, B(x, y)) in the three-dimensional rectangular coordinate system according to its corresponding two-dimensional coordinate (x, y) and the numerical value B of the specific meta-feature parameter. A smooth and continuous curved surface is used to fit these points in the three-dimensional rectangular coordinate system. The curved surface smoothly passes through all the points (x, y, B(x, y)) to form a mathematical model that accurately describes the change of B value with x and y. By analyzing the mathematical expression of this fitting surface, the equation B(x, y) = h(x, y) is obtained, where h(x, y) is a continuous function of x and y, which accurately quantifies the expected size of the B value under given x and y coordinates. Through the formula To calculate the area of ​​the surface, and is the partial derivative of the function h(x, y) with respect to x and y. Calculate the surface curvature characteristic data E1, where a and b are the length and width of the sample to be tested.

[0018] As a preferred embodiment of the present invention, an ultrasonic transmitting and receiving probe is used to perform surface wave detection on the target surface, aiming to accurately extract microcrack characteristic data. The height c of the sample to be tested is obtained. Then, the piezoelectric element is used to send Rayleigh rays layer by layer at a preset depth interval dw and frequency range to capture the surface waves generated by the surface of the sample to be tested and the surface waves reflected by the surface of the sample to be tested, and then the collected surface wave signals are analyzed and imaged to construct ultrasonic images of each depth, thereby accurately measuring and extracting the microcrack area S of each depth.

[0019] The microcrack area S corresponding to each detection depth w is recorded to form a series of data points (w, S). Then, a two-dimensional rectangular coordinate system is constructed with the depth w as the horizontal coordinate and the microcrack area S as the vertical coordinate. All data points (w, S) are accurately plotted in the coordinate system to form a two-dimensional image that intuitively shows the change of microcrack area s with depth w. The function expression S = f(w) of this change relationship is analyzed through image fitting technology.

[0020] It is worth noting that when the test specimen undergoes overall bending, the microcrack area close to the outer surface will be subjected to greater stress, resulting in an intensified stress concentration phenomenon, which in turn causes the microcracks to expand at a faster rate. A microcrack subsequent expansion speed model is preset to quantitatively evaluate this phenomenon, and its expression is: vl = k × (cw)^2, where k is the preset influencing factor. Based on this model and the aforementioned microcrack area change function, the formula Calculate the microcrack characteristic data E2.

[0021] The test parameter E is calculated by the formula E=μ1×E1+μ2×E2, where μ1 and μ2 are preset influencing factors. When the test parameter E is less than the preset threshold value Emax, a signal is generated.

[0022] At the test position 2, penetration wave detection, surface wave detection and microcrack double difference positioning detection are performed. The specific detection process is the same as the detection process at the test position 1. The surface bending feature data E1′ and the smooth defect feature data E2′ are obtained through detection and calculation. The test parameter 2 E′ is calculated by the formula E′=μ1×E1′+μ2×E2′, where μ1 and μ2 are preset influencing factors. When the test parameter 2 E′ is less than the preset threshold value Emax, signal 2 is generated.

[0023] When signal one and signal two are generated at the same time, an OK signal is generated, otherwise an NG signal is generated.

[0024] The database obtains all the registration data of the registration module and saves it, and obtains all the calculation data of the data acquisition and analysis module and saves it.

[0025] The display module outputs the calculated data obtained from the database through the display screen.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] (1) The present invention captures and quantifies the tiny bending features of the mobile phone frame through penetrating wave detection, and captures and quantifies the micro-crack features of the mobile phone frame through surface wave detection, providing a comprehensive monitoring method and reducing the detection errors of area defects, volume defects, small defects and smooth defects in the detection of mobile phone frames;

[0028] (2) The present invention arranges key point sets in penetrating wave detection and controls the density of the key point sets by preset distances, sets a layer-by-layer detection process in surface wave detection and controls the density of the detection surface by preset depth intervals, thereby improving the quantitative accuracy of the detection method, and reduces the system error by jointly detecting the detection position 1 and the detection position 2, thereby improving the reliability of the detection result;

[0029] (3) The present invention realizes automatic feeding and automatic discharging during the detection process through the handling module, and realizes the automatic detection process of the mobile phone frame through the clamping claw and the conveyor belt; during the working process of the handling module, the clamping claw accurately performs a clamping action that fully matches its length, width and height according to the preset clamping parameter values, thereby ensuring the accuracy and stability of the clamping action, allowing the clamping claw to flexibly adapt to objects of different sizes and shapes, and completing efficient and accurate handling tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0031] Figure 1 It is the overall block diagram of the system of the present invention;

[0032] Figure 2 It is a schematic diagram of the work flow of the handling module of the present invention;

[0033] Figure 3 It is a schematic diagram of a two-dimensional rectangular coordinate system and a key point set of the present invention;

[0034] Figure 4 It is a schematic diagram of the penetrating wave detection method of the present invention;

[0035] Figure 5 It is a waveform diagram of the reflected wave 1 and the reflected wave 2 of the present invention;

[0036] Figure 6 It is a schematic diagram of a three-dimensional rectangular coordinate system and a fitting surface of the present invention;

[0037] Figure 7 It is a schematic diagram of the surface wave monitoring method of the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 As shown, a control system for a mobile phone frame BEND ultrasonic detection machine includes a registration module, a transport module, a data acquisition and analysis module, a database and a display module.

[0040] The registration module obtains the user's registration data, including user name, user number, user password and user category, wherein the user category includes operator and technician.

[0041] The registration module is preset with two operation modes, including operator mode and technician mode. The corresponding operation modes are matched according to the user categories in the registration data. The operator mode is granted the authority to use the handling module, data acquisition module, analysis module and display module; the technician mode is granted the authority to use all modules, and the registration data of all users is saved in the database. Users are matched to the corresponding permissions through their respective user names and user passwords.

[0042] The handling module provides six preset positions, namely: feed line, standard feed position, detection position 1, detection position 2, qualified product discharge position and unqualified product discharge position.

[0043] See also Figure 2 As shown, the handling module adopts a one-in, two-test, and one-out handling mode, that is, within one detection cycle, a sample to be tested is transported from the feed line to the standard feed position by a conveyor belt, and a sample to be tested is transported from the standard feed position to the detection position one by a clamp and ultrasonically tested, and the sample to be tested after the test is called a preliminary test sample. A preliminary test sample is transported from the detection position one to the detection position two by a clamp and ultrasonically tested, and the preliminary test sample after the test is called a secondary test sample. The operation signal sent by the data acquisition and analysis module is judged. When the operation signal is identified as an OK signal, the secondary test sample at the detection position two is transported to the qualified product discharge position; when the operation signal is identified as an NG signal, the secondary test sample at the detection position two is transported to the unqualified product discharge position. The secondary test samples at the qualified product discharge position and the unqualified product discharge position are transported out of the equipment by a conveyor belt.

[0044] The handling module provides a touch window for executing handling commands, and the execution commands include: start, stop, position, reset, speed up and slow down. After executing the start command, the gripper synchronously performs the following operations every preset time t: clamp a sample to be tested from the standard feed position and enter the detection position 1 for ultrasonic testing, clamp a preliminary test sample from the detection position 1 and enter the detection position 2 for ultrasonic testing, and clamp a secondary test sample from the detection position 2 according to the specific category of the operation signal and enter the qualified product discharge position or the unqualified product discharge position. After executing the stop command, the handling module stops working. When the positioning command is executed, the length a, width b and height c of the sample to be tested are obtained by the laser rangefinder and recorded as the gripping parameters of the gripper. After executing the reset command, the gripping parameters of the gripper are adjusted to the preset values: preset length a0, preset width b0 and preset height c0. After executing the speed up command, the preset time t is automatically shortened by a speed adjustment base dt to achieve a faster running speed; on the contrary, after receiving the deceleration command, the preset time t will be correspondingly extended by a speed adjustment base dt, thereby slowing down the running speed.

[0045] In the handling module, the gripper accurately performs a gripping action that fully matches its length, width and height according to the gripping parameter values, ensuring the accuracy and stability of the gripping action, allowing the gripper to flexibly adapt to objects of different sizes and shapes, and complete efficient and accurate handling tasks.

[0046] The data acquisition and analysis module conducts ultrasonic testing on the test samples at test position 1 and test position 2 respectively, specifically:

[0047] Perform penetrating wave detection and surface wave detection at test location 1:

[0048] The ultrasonic transmitting probe and the ultrasonic receiving probe are used to perform penetrating wave detection to extract the surface bending feature data of the test sample, specifically:

[0049] See also Figure 3 As shown, the sample to be tested is placed flat on the test bench at the test position 1, a corner point of the bottom surface of the sample to be tested is preset as the coordinate base point O(0,0), and a two-dimensional plane rectangular coordinate system is constructed with the long side direction of the sample to be tested as the X-axis and the short side direction of the sample to be tested as the Y-axis. On the top surface of the sample to be tested, a series of detection points are arranged at intervals of a predetermined distance △x along the X-axis direction and at intervals of another predetermined distance △y along the Y-axis direction. The detection points and the coordinate base point O(0,0) together constitute a key point set for subsequent test analysis.

[0050] See also Figure 4 and Figure 5 As shown, the ultrasonic transmitting probe transmits penetrating waves to the sample to be tested along the vertical direction according to each coordinate (x, y) in the key point set. The penetrating wave is reflected by the top surface of the sample to be tested to generate a reflected wave 1, and the penetrating wave is reflected by the bottom surface of the sample to be tested to generate a reflected wave 2. The waveforms of reflected wave 1 and reflected wave 2 are recorded, and the amplitude A1(x, y) of reflected wave 1 and the amplitude A2(x, y) of reflected wave 2 are extracted. The attenuation coefficient β(x, y) is calculated by the formula β(x, y)=A2(x, y) / A1(x, y), where (x, y) is the coordinate of the key point set; the secondary echo receiving time T2(x, y) and the primary echo receiving time T1(x, y) of each coordinate (x, y) are extracted. The receiving wave time difference △T(x, y) of each coordinate (x, y) is calculated by the formula △T(x, y)=T2(x, y)-T1(x, y). Obtain the ultrasonic transmission speed v, and calculate the distance s(x, y) from the bottom surface of the test sample to the probe by the formula s(x, y) = v / 2 × △T(x, y). Calculate the meta-characteristic parameters B(x, y) of the key points at each coordinate (x, y) in the key point set by the formula B(x, y) = K1 × β(x, y) + K2 × sβ(x, y).

[0051] See also Figure 6 As shown, a three-dimensional rectangular coordinate system is defined with the origin O(0,0) as the reference point, wherein the X-axis is along the long side of the sample to be tested, the Y-axis is along the short side of the sample to be tested, and the Z-axis is perpendicular to the surface X0Y. In the three-dimensional rectangular coordinate system, each element feature parameter B(x, y) is mapped to a point (x, y, B(x, y)) in the three-dimensional rectangular coordinate system according to its corresponding two-dimensional coordinate (x, y) and the value B of the specific element feature parameter.

[0052] A smooth and continuous surface is used to fit these points in the three-dimensional rectangular coordinate system. The surface smoothly passes through all the points (x, y, B(x, y)), forming a mathematical model that accurately describes the change of B value with x and y. By analyzing the mathematical expression of this fitting surface, the equation B(x, y) = h(x, y) is obtained, where h(x, y) is a continuous function of x and y, which accurately quantifies the expected size of B value under given x and y coordinates. Through the formula To calculate the area of ​​the surface, and is the partial derivative of the function h(x, y) with respect to x and y. Calculate the surface curvature characteristic data E1, where a and b are the length and width of the sample to be tested.

[0053] See also Figure 7 As shown, ultrasonic transmitting and receiving probes are used to detect surface waves on the target surface in order to accurately extract microcrack feature data. The height c of the sample to be tested is obtained. Then, Rayleigh rays are sent layer by layer through the piezoelectric element at a preset depth interval dw and frequency range to capture the surface waves generated on the surface of the sample to be tested and the surface waves reflected on the surface of the sample to be tested. The collected surface wave signals are then analyzed and imaged to construct ultrasonic images of each depth, thereby accurately measuring and extracting the microcrack area S at each depth.

[0054] The microcrack area S corresponding to each detection depth w is recorded to form a series of data points (w, S). Then, a two-dimensional rectangular coordinate system is constructed with the depth w as the horizontal coordinate and the microcrack area S as the vertical coordinate. All data points (w, S) are accurately plotted in the coordinate system to form a two-dimensional image that intuitively shows the change of microcrack area s with depth w. The function expression S = f(w) of this change relationship is analyzed through image fitting technology.

[0055] It is worth noting that when the test specimen undergoes overall bending, the microcrack area close to the outer surface will be subjected to greater stress, resulting in an intensified stress concentration phenomenon, which in turn causes the microcracks to expand at a faster rate. A microcrack subsequent expansion speed model is preset to quantitatively evaluate this phenomenon, and its expression is: vl = k × (cw)^2, where k is the preset influencing factor. Based on this model and the aforementioned microcrack area change function, the formula Calculate microcrack characteristic data

[0056] By formula Calculation test parameter 1 Where μ1 and μ2 are the preset influencing factors. When the test parameter E is less than the preset threshold A signal is generated when

[0057] At test location 2, penetration wave detection, surface wave detection, and microcrack double difference positioning detection are performed. The specific detection process is the same as that at test location 1. Surface bending feature data is obtained through detection and calculation. and smooth defect feature data By formula Calculation test parameter 2 Among them, μ1 and μ2 are the preset influencing factors. Less than the preset threshold Signal 2 is generated.

[0058] When signal one and signal two are generated at the same time, an OK signal is generated, otherwise an NG signal is generated.

[0059] The database obtains all the registration data of the registration module and saves it, and obtains all the calculation data of the data acquisition and analysis module and saves it.

[0060] The display module outputs the calculated data obtained from the database through the display screen.

[0061] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0062] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and the claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and the claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations;

[0063] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A control system for a mobile phone frame BEND ultrasonic detection machine, including a handling module and a data acquisition and analysis module, characterized in that: The handling module provides six preset positions, namely: feeding line, standard feeding position, detection position 1, detection position 2, qualified product discharge position and unqualified product discharge position; The handling module adopts a one-in, two-test, and one-out handling mode, providing a touch window for executing handling commands. The execution commands include: start, stop, position, reset, speed up, and speed down. The corresponding operation is executed according to each execution command. The gripper accurately executes a gripping action that fully matches the length, width, and height according to the gripping parameter value. The data acquisition and analysis module performs penetrating wave detection and surface wave detection at the test position one: uses an ultrasonic transmitting probe and an ultrasonic receiving probe to perform penetrating wave detection, and obtains surface bending feature data E1 of the sample to be tested through calculation: uses ultrasonic transmitting and receiving probes to perform surface wave detection on the target surface, and obtains microcrack feature data E2 through calculation; determines whether signal one is generated through the calculation results of the surface bending feature data E1 and the microcrack feature data E2; performs penetrating wave detection, surface wave detection and microcrack double difference positioning detection at the test position two, and the specific detection process is the same as the detection process of the test position one, and obtains surface bending feature data E1´ and smooth defect feature data E2´ through detection and calculation; determines whether signal two is generated through the calculation results of the surface bending feature data E1´ and the microcrack feature data E2´; when signal one and signal two are generated at the same time, an OK signal is generated, otherwise an NG signal is generated; The specific process of obtaining surface curvature feature data through calculation is as follows: The sample to be tested is placed flat on the test bench at the test position 1, a corner point of the bottom surface of the sample to be tested is preset as the coordinate base point O (0, 0), a two-dimensional plane rectangular coordinate system is constructed with the long side direction of the sample to be tested as the X-axis and the short side direction of the sample to be tested as the Y-axis; a series of detection points are arranged on the top surface of the sample to be tested at intervals of a predetermined distance △x along the X-axis direction and at intervals of another predetermined distance △y along the Y-axis direction; the detection points and the coordinate base point O (0, 0) together constitute a key point set for subsequent test analysis; the ultrasonic transmitting probe transmits a penetrating wave to the sample to be tested in the vertical direction according to each coordinate (x, y) in the key point set, the penetrating wave is reflected by the top surface of the sample to be tested to generate a reflected wave 1, and the penetrating wave is reflected by the bottom surface of the sample to be tested to generate a reflected wave 2; the waveforms of the reflected wave 1 and the reflected wave 2 are recorded, and the amplitude A1 (x, y) of the reflected wave 1 and the amplitude A2 (x, y) of the reflected wave 2 are extracted, and the formula β(x, y)=A2(x, y) / A1(x, y) calculates the attenuation coefficient β(x, y), where (x, y) is the coordinate of the key point set; extracts the secondary echo receiving time T2(x, y) and the primary echo receiving time T1(x, y) of each coordinate (x, y); calculates the receiving wave time difference △T(x, y) of each coordinate (x, y) by the formula △T(x, y)=T2(x, y)-T1(x, y); obtains the ultrasonic transmission speed v, and calculates the distance s(x, y) from the bottom surface of the test sample to the probe by the formula s(x, y)=v / 2×△T(x, y); calculates the meta-feature parameters B(x, y) of the key points at each coordinate (x, y) in the key point set by the formula B(x, y)=K1×β(x, y)+K2×sβ(x, y), and obtains the surface bending feature data E1 by spatialization and mathematical operation of the meta-feature parameters B(x, y); The specific process of spatialization and mathematical operation of the element characteristic parameter B (x, y) to obtain the surface curvature characteristic data E1 is as follows: A three-dimensional rectangular coordinate system is defined with the coordinate origin O (0, 0) as the reference point, wherein the X axis is along the long side direction of the sample to be tested, the Y axis is along the short side direction of the sample to be tested, and the Z axis is perpendicular to the surface X0Y; in the three-dimensional rectangular coordinate system, each element feature parameter B (x, y) is mapped to a point (x, y, B (x, y)) in the three-dimensional rectangular coordinate system according to its corresponding two-dimensional coordinate (x, y) and the value B of the specific element feature parameter; A smooth and continuous surface is used to fit these points in the three-dimensional rectangular coordinate system; the surface smoothly passes through all the points (x, y, B (x, y)), forming a mathematical model that accurately describes the change of B value with x and y; the mathematical expression of this fitting surface is analyzed to obtain the equation B (x, y) = h (x, y), where h (x, y) is a continuous function of x and y, which accurately quantifies the expected size of B value under given x and y coordinates; through the formula To calculate the area of ​​the surface, and It is the partial derivative of the function h(x, y) with respect to x and y. The surface bending characteristic data E1 is calculated by the formula E1=A / (a×b), where a and b are the length and width of the sample to be tested. The specific process of obtaining microcrack characteristic data through calculation is as follows: The height c of the sample to be tested is obtained; then, Rayleigh rays are sent layer by layer through the piezoelectric element at a preset depth interval dw and frequency range to capture the surface waves generated on the surface of the sample to be tested and the surface waves reflected on the surface of the sample to be tested, and then the collected surface wave signals are analyzed and imaged to construct ultrasonic images of each depth, thereby accurately measuring and extracting the microcrack area S at each depth; The microcrack area S corresponding to each detection depth w is recorded to form a series of data points (w, S); then, a two-dimensional rectangular coordinate system is constructed with the depth w as the horizontal coordinate and the microcrack area S as the vertical coordinate; all data points (w, S) are accurately plotted in the coordinate system to form a two-dimensional image that intuitively shows the change of the microcrack area s with the depth w; the function expression S=f(w) of the microcrack area change function is analyzed through image fitting technology; A microcrack subsequent expansion velocity model is preset, and its expression is: vl=k×(cw)^2, where k is the preset influencing factor; based on this model and the aforementioned microcrack area change function, the formula Calculate microcrack characteristic data E2.

2. A control system for a mobile phone frame BEND ultrasonic detection machine according to claim 1, characterized in that: It also includes a registration module, a database and a display module; The registration module obtains the user's registration data, including user name, user number, user password and user category, where the user category includes operator and technician; the registration module presets two operation modes, including operator mode and technician mode; matches the corresponding operation mode according to the user category in the registration data; grants the operator mode the authority to use the handling module, data acquisition module, analysis module and display module; Grant the technician mode the authority to use all modules, save all user registration data in the database, and match users with corresponding permissions through their respective user names and passwords; The database obtains all the registration data of the registration module and saves it, and obtains all the calculation data of the data acquisition and analysis module and saves it; The display module outputs the calculated data obtained from the database through the display screen.

3. A control system for a mobile phone frame BEND ultrasonic detector according to claim 1, characterized in that: The specific handling mode of one in, two tests and one out is: A sample to be tested is transported from the feed line to the standard feed position by a conveyor belt, and a sample to be tested is moved from the standard feed position to the detection position one by a clamp and ultrasonically tested, and the sample to be tested after the test is called a preliminary test sample; a preliminary test sample is moved from the detection position one to the detection position two by a clamp and ultrasonically tested, and the preliminary test sample after the test is called a secondary test sample; the operation signal sent by the data acquisition and analysis module is judged, and when the operation signal is recognized as an OK signal, the secondary test sample at the detection position two is moved to the qualified product discharge position; when the operation signal is recognized as an NG signal, the secondary test sample at the detection position two is moved to the unqualified product discharge position; the secondary test samples at the qualified product discharge position and the unqualified product discharge position are transported out by a conveyor belt.

4. A control system for a mobile phone frame BEND ultrasonic detector according to claim 1, characterized in that: The specific process of executing corresponding operations according to each execution command is as follows: After executing the start command, the gripper synchronously performs the following operations every preset time t: clamps a sample to be tested from the standard feed position and enters the detection position one for ultrasonic testing, clamps a preliminary test sample from the detection position one and enters the detection position two for ultrasonic testing, and clamps a secondary test sample from the detection position two according to the specific category of the operation signal and enters the qualified product discharge position or the unqualified product discharge position; after executing the stop command, the handling module stops working; when executing the positioning instruction, the length a, width b and height c of the sample to be tested are obtained through the laser rangefinder and recorded as the gripping parameters of the gripper; after executing the reset instruction, the gripping parameters of the gripper are adjusted to the preset values: preset length a0, preset width b0 and preset height c0; after executing the speed increase instruction, the preset time t is automatically shortened by a speed adjustment base dt to achieve a faster running speed; on the contrary, after receiving the deceleration instruction, the preset time t will be correspondingly extended by a speed adjustment base dt, thereby slowing down the running speed.

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