Anodic oxide film detection system

Abstract

The invention discloses an anodic oxide film detection system which comprises a conveying module, a preprocessing module, a multi-dimensional detection module, a data processing module, a sorting module and a central control module. The conveying module is used for conveying an anodic oxide film workpiece to be detected to each functional module according to a preset speed and path; the pretreatment module is arranged on a conveying path of the conveying module and is used for cleaning and drying the surface of a to-be-detected workpiece; and the multi-dimensional detection module is arranged on the conveying path behind the preprocessing module and is used for carrying out multi-parameter detection on the preprocessed workpieces. According to the anodic oxide film detection system disclosed by the invention, the problems of low detection efficiency, poor detection precision, single detection parameter, insufficient pretreatment, weak data processing capability, low sorting efficiency and the like in anodic oxide film detection in the prior art are solved.

Description

Technical Field

[0001] This invention belongs to the field of anodic oxide film detection technology, and specifically relates to an anodic oxide film detection system. Background Technology

[0002] Anodized films possess excellent corrosion resistance, wear resistance, insulation, and decorative properties, making them widely used in aerospace, automotive manufacturing, electronics, and architectural decoration. The quality of the anodized film directly affects the performance and service life of the workpiece; therefore, quality inspection of the anodized film is crucial. Currently, most existing methods for inspecting anodic oxide films rely on manual inspection or automated inspection equipment with a single parameter. Manual inspection methods suffer from low efficiency, poor accuracy, high labor intensity, and strong subjectivity, making them unsuitable for meeting the quality inspection needs of anodic oxide films in large-scale production processes. Automated inspection equipment with a single parameter can only test one performance parameter of the anodic oxide film, such as thickness, hardness, or corrosion resistance, and cannot comprehensively evaluate the quality of the anodic oxide film.

[0003] Therefore, further improvements will be made to address the aforementioned issues. Summary of the Invention

[0004] The main objective of this invention is to provide an anodized film detection system that overcomes the problems of low detection efficiency, poor detection accuracy, single detection parameters, insufficient preprocessing, weak data processing capabilities, and low sorting efficiency in the existing anodized film detection technology.

[0005] To achieve the above objectives, the present invention provides an anodized film detection system, including a conveying module, a pretreatment module, a multi-dimensional detection module, a data processing module, a sorting module, and a central control module; The conveying module is used to convey the anodized film workpiece to be inspected to each functional module according to a preset speed and path; The pretreatment module is located on the conveying path of the conveying module and is used to clean and dry the surface of the workpiece to be inspected. The multi-dimensional detection module is set on the conveying path after the pre-processing module and is used to perform multi-parameter detection on the pre-processed workpiece. The multi-dimensional detection module includes a thickness detection unit, a porosity detection unit, a hardness detection unit, a corrosion resistance detection unit, and an appearance defect detection unit. The data processing module is connected to the multi-dimensional detection module and is used to receive the detection data collected by the multi-dimensional detection module, preprocess, analyze and store the detection data. The data processing module includes a data preprocessing subunit, a data analysis subunit and a database subunit. The data preprocessing subunit is used to remove outliers and noise from the detection data. The data analysis subunit uses statistical analysis methods and machine learning algorithms to analyze the detection data and generate an oxide film quality evaluation report. The database subunit is used to store the detection data, the quality evaluation report and the basic information of the workpiece. The sorting module is located on the conveying path after the multi-dimensional detection module and is connected to the central control module. The central control module generates sorting instructions based on the analysis results of the data processing module, and the sorting module sorts the detected workpieces according to the sorting instructions. As a further preferred technical solution of the above technical solution, the conveying module includes a conveyor belt, a drive motor, a position sensor and a positioning fixture. The drive motor is used to drive the conveyor belt. The positioning fixture is located on the conveyor belt and is adaptively adjusted according to the size of the anodized film workpiece to be inspected. The position sensor collects the position information of the anodized film workpiece on the conveyor belt in real time and feeds it back to the central control module.

[0006] As a further preferred embodiment of the above technical solution, the pretreatment module includes a high-pressure spray unit, an ultrasonic cleaning unit, a hot air drying unit, and an ion wind static elimination unit arranged sequentially, wherein: The workpiece to be inspected is first sprayed by the high-pressure spray unit and cleaned by the ultrasonic cleaning unit, then dried by the hot air drying unit, and finally the electrostatic charge generated by friction on the surface of the workpiece is eliminated by the ion wind static elimination unit. The high-pressure spray unit is equipped with a filter unit, which adopts a multi-layer filter screen structure. The pore size of the filter screen gradually decreases from the water inlet end to the water outlet end, thereby filtering out impurities in the spray water.

[0007] As a further preferred technical solution to the above technical solution, for the multi-dimensional detection module, wherein: The thickness detection unit uses an eddy current thickness gauge. The distance between the probe of the eddy current thickness gauge and the surface of the workpiece is controlled by an adjustment mechanism to detect the thickness value of different areas of the anodized film in real time. The porosity detection unit includes an electrolyte supply subunit, an electrolytic cell subunit, and a current detection subunit. The electrolyte supply subunit quantitatively supplies phosphoric acid electrolyte of a preset concentration. The electrolytic cell subunit forms a sealed electrolytic environment with the workpiece to be tested area. The current detection subunit collects current change data in real time during the electrolysis process and calculates the porosity of the anodic oxide film based on the current change curve. The hardness testing unit uses a microhardness tester. The indenter of the microhardness tester is pressed into a preset position on the surface of the workpiece under the control of the central control module, and the hardness value of the workpiece is calculated based on the indentation size. The corrosion resistance testing unit employs a neutral salt spray test subunit and an electrochemical impedance spectroscopy (EIS) detection subunit. The neutral salt spray test subunit controls the salt spray concentration, temperature, and humidity, and the test time is set according to requirements. The EIS detection subunit scans within a preset frequency range to obtain the impedance parameters of the workpiece in order to evaluate the corrosion resistance of the oxide film. The appearance defect detection unit includes a high-resolution industrial camera, a light source system, and an image analysis subunit. The light source system uses a multi-angle ring light source to eliminate the influence of workpiece surface reflection on the detection. The high-resolution industrial camera acquires high-definition images of the workpiece surface, and the image analysis subunit uses a deep learning algorithm to process the acquired high-definition images to identify defects on the workpiece surface.

[0008] As a further preferred technical solution of the above technical solution, the sorting module includes a robotic arm, multiple sorting channels and a weight sensor. Under the control of the central control module, the robotic arm picks up workpieces of different quality grades and places them into the corresponding sorting channels. The weight sensor detects the weight of the sorted workpieces.

[0009] As a further preferred technical solution to the above technical solution, the central control module includes a touch screen, a control chip, and a communication subunit. The touch screen is used to display the system's working status, detection data, and quality evaluation reports, facilitating parameter setting and operation control by operators. The control chip processes and responds to various control commands, and the communication subunit supports wired and wireless communication methods to realize data interaction and remote monitoring with external devices.

[0010] As a further preferred technical solution of the above technical solution, the image analysis subunit performs quantitative analysis of the color difference on the workpiece surface. By collecting color data from a standard color swatch and the workpiece surface, the color difference ΔE value between the two is calculated to evaluate the color uniformity of the workpiece.

[0011] The beneficial effects of this invention are as follows: (1) High comprehensiveness of detection: The present invention is equipped with a multi-dimensional detection module, which covers the detection of multiple key quality parameters such as thickness, porosity, hardness, corrosion resistance and appearance defects. It can comprehensively evaluate the quality of the anodic oxide film and solve the problem of single detection parameters in existing detection equipment. (2) High degree of automation: The system realizes automated operation from workpiece transportation, pretreatment, detection, data processing to sorting, without the need for manual intervention, which greatly improves detection efficiency, reduces the labor intensity of operators, and avoids the subjectivity and error of manual detection. (3) Sufficient pretreatment: The pretreatment module can effectively remove oil, impurities and static electricity from the workpiece surface through multiple steps such as high-pressure spraying, ultrasonic cleaning, hot air drying and ion wind static removal, providing a good testing environment for subsequent testing and avoiding the influence of workpiece surface contaminants on the test results. (4) Strong data processing capability: The data processing module adopts advanced data processing algorithms, which can quickly preprocess, analyze and store the test data, generate a comprehensive quality evaluation report, and use cloud database to realize remote storage and sharing of test data, which facilitates data traceability and management. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation

[0013] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.

[0014] In the preferred embodiments of the present invention, those skilled in the art should note that the anodic oxide film and the like involved in the present invention can be considered as prior art.

[0015] Preferred embodiment.

[0016] like Figure 1 As shown, the present invention discloses an anodized film detection system, including a conveying module, a pretreatment module, a multi-dimensional detection module, a data processing module, a sorting module, and a central control module; The conveying module is used to convey the anodized film workpiece to be inspected to each functional module according to a preset speed and path; The pretreatment module is located on the conveying path of the conveying module and is used to clean and dry the surface of the workpiece to be inspected (i.e., the anodized film workpiece). The multi-dimensional detection module is set on the conveying path after the pre-processing module and is used to perform multi-parameter detection on the pre-processed workpiece. The multi-dimensional detection module includes a thickness detection unit, a porosity detection unit, a hardness detection unit, a corrosion resistance detection unit, and an appearance defect detection unit. The data processing module is connected to the multi-dimensional detection module and is used to receive the detection data collected by the multi-dimensional detection module, preprocess, analyze, and store the detection data. The data processing module includes a data preprocessing subunit, a data analysis subunit, and a database subunit. The data preprocessing subunit is used to remove outliers and noise from the detection data. The data analysis subunit uses statistical analysis methods and machine learning algorithms to analyze the detection data and generate an oxide film quality evaluation report. The database subunit is used to store the detection data, the quality evaluation report, and basic information about the workpiece (the database subunit uses a cloud database, which enables remote storage and sharing of the detection data, facilitating access and viewing of the detection data by personnel in different locations). The database sub-unit records the sorting records for each workpiece (including sorting time, target channel, detection parameters, weight verification results, etc.). When a sorting error occurs, the operator can retrieve historical data through the touch screen to analyze the cause of the error (such as robotic arm failure, uncalibrated detection unit, unreasonable weight sensor threshold setting, etc.) and optimize the system parameters accordingly.

[0017] The sorting module is located on the conveying path after the multi-dimensional detection module and is connected to the central control module. The central control module generates sorting instructions based on the analysis results of the data processing module, and the sorting module sorts the detected workpieces according to the sorting instructions.

[0018] Specifically, the conveying module includes a conveyor belt, a drive motor, a position sensor, and a positioning fixture. The drive motor drives the conveyor belt, the positioning fixture is located on the conveyor belt and adaptively adjusts according to the size of the anodized film workpiece to be inspected, and the position sensor collects the position information of the anodized film workpiece on the conveyor belt in real time and feeds it back to the central control module.

[0019] More specifically, the pretreatment module includes a high-pressure spray unit, an ultrasonic cleaning unit, a hot air drying unit, and an ion wind static elimination unit arranged sequentially, wherein: The workpiece to be inspected is first sprayed by the high-pressure spray unit and cleaned by the ultrasonic cleaning unit, then dried by the hot air drying unit, and finally the electrostatic charge generated by friction on the surface of the workpiece is eliminated by the ion wind static elimination unit. The high-pressure spray unit is equipped with a filter unit, which adopts a multi-layer filter screen structure. The pore size of the filter screen gradually decreases from the water inlet end to the water outlet end, thereby filtering out impurities in the spray water (to prevent impurities from adhering to the workpiece surface and affecting subsequent testing).

[0020] Furthermore, for the multi-dimensional detection module, where: The thickness detection unit uses an eddy current thickness gauge. The distance between the probe of the eddy current thickness gauge and the surface of the workpiece is controlled by an adjustment mechanism to detect the thickness value of different areas of the anodized film in real time. (The thickness detection unit is equipped with a probe cleaning mechanism, which includes a cleaning cotton and a drive cylinder. The drive cylinder can drive the cleaning cotton to clean the probe of the eddy current thickness gauge periodically to prevent dirt from adhering to the probe surface and affecting the detection accuracy.) The porosity detection unit includes an electrolyte supply subunit, an electrolytic cell subunit, and a current detection subunit. The electrolyte supply subunit quantitatively supplies phosphoric acid electrolyte of a preset concentration. The electrolytic cell subunit forms a sealed electrolytic environment with the workpiece to be tested area. The current detection subunit collects current change data in real time during the electrolysis process and calculates the porosity of the anodic oxide film based on the current change curve. The hardness testing unit uses a microhardness tester. The indenter of the microhardness tester is pressed into a preset position on the surface of the workpiece under the control of the central control module, and the hardness value of the workpiece is calculated based on the indentation size. The corrosion resistance testing unit employs a neutral salt spray test subunit and an electrochemical impedance spectroscopy (EIS) detection subunit. The neutral salt spray test subunit controls the salt spray concentration, temperature, and humidity, and the test time is set according to requirements. The EIS detection subunit scans within a preset frequency range to obtain the impedance parameters of the workpiece in order to evaluate the corrosion resistance of the oxide film. The appearance defect detection unit includes a high-resolution industrial camera, a light source system, and an image analysis subunit. The light source system uses a multi-angle ring light source to eliminate the influence of workpiece surface reflection on the detection. The high-resolution industrial camera acquires high-definition images of the workpiece surface. The image analysis subunit uses a deep learning algorithm to process the acquired high-definition images and identify defects on the workpiece surface (scratches, spots, color differences, bubbles, etc.).

[0021] Furthermore, the sorting module includes a robotic arm, multiple sorting channels, and weight sensors. Under the control of the central control module, the robotic arm grasps workpieces of different quality grades and places them into the corresponding sorting channels. The weight sensors detect the weight of the sorted workpieces (ensuring accurate sorting). A buffer pad made of elastic rubber is provided at the end of the robotic arm in the sorting module to cushion the workpiece during grasping and prevent damage to the anodized film on the workpiece surface. The sorting channels are independently divided according to the quality grade of the workpiece (such as qualified, excessive thickness, appearance defects, etc.). The inner wall of the channel is coated with a wear-resistant nylon to prevent the surface from being scratched when the workpiece slips. In addition, each channel entrance is equipped with an infrared beam sensor. When the robotic arm puts the workpiece into the channel, the sensor can confirm in real time whether the workpiece has entered the target channel smoothly. If jamming or misplacement occurs, it will immediately feed back to the central control module and trigger an alarm to avoid subsequent workpiece accumulation or mixing. Furthermore, each channel of the sorting module is equipped with a weight sensor. When a workpiece enters the channel, the weight sensor will collect the workpiece weight and compare it with the standard weight of the workpiece of that model in the database. If the weight deviation exceeds ±2g (the threshold can be set according to the workpiece material), it is determined that the weight is unqualified, and a second verification is performed. Furthermore, a small industrial camera can be added at the exit of the sorting channel to quickly capture the appearance of the sorted workpieces and compare it with the appearance defect detection results of the multi-dimensional detection module. If the appearance defect type of the workpiece in the channel is found to be inconsistent with the channel marking (such as a workpiece with scratches appearing in a qualified channel), the feedback is immediately sent to the central control module. The system will pause the sorting process and trigger an alarm, prompting the operator to manually review the data, thus performing a third verification.

[0022] Preferably, the central control module includes a touch screen, a control chip, and a communication subunit. The touch screen is used to display the system's working status, detection data, and quality evaluation reports, facilitating parameter setting and operation control by operators. The control chip processes and responds to various control commands, and the communication subunit supports wired and wireless communication methods to achieve data interaction and remote monitoring with external devices.

[0023] Preferably, the image analysis subunit performs quantitative analysis of the color difference on the workpiece surface. By collecting color data from a standard color swatch and the workpiece surface, it calculates the color difference ΔE value between the two, thereby evaluating the color uniformity of the workpiece.

[0024] It is worth mentioning that the technical features such as the anodic oxide film involved in this patent application should be regarded as prior art. The specific structure, working principle, and possible control methods and spatial arrangement of these technical features can be adopted using conventional choices in the field, and should not be regarded as the inventive point of this patent. This patent will not be further elaborated in detail.

[0025] For those skilled in the art, modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the protection scope of this invention.

Claims

1. An anodic oxide film detection system, characterized in that, It includes a conveying module, a pre-processing module, a multi-dimensional detection module, a data processing module, a sorting module, and a central control module; The conveying module is used to convey the anodized film workpiece to be inspected to each functional module according to a preset speed and path; The pretreatment module is located on the conveying path of the conveying module and is used to clean and dry the surface of the workpiece to be inspected. The multi-dimensional detection module is set on the conveying path after the pre-processing module and is used to perform multi-parameter detection on the pre-processed workpiece. The multi-dimensional detection module includes a thickness detection unit, a porosity detection unit, a hardness detection unit, a corrosion resistance detection unit, and an appearance defect detection unit. The data processing module is connected to the multi-dimensional detection module and is used to receive the detection data collected by the multi-dimensional detection module, preprocess, analyze and store the detection data. The data processing module includes a data preprocessing subunit, a data analysis subunit and a database subunit. The data preprocessing subunit is used to remove outliers and noise from the detection data. The data analysis subunit uses statistical analysis methods and machine learning algorithms to analyze the detection data and generate an oxide film quality evaluation report. The database subunit is used to store the detection data, the quality evaluation report and the basic information of the workpiece. The sorting module is located on the conveying path after the multi-dimensional detection module and is connected to the central control module. The central control module generates sorting instructions based on the analysis results of the data processing module, and the sorting module sorts the detected workpieces according to the sorting instructions.

2. The anodic oxide film detection system according to claim 1, characterized in that, The conveying module includes a conveyor belt, a drive motor, a position sensor, and a positioning fixture. The drive motor drives the conveyor belt, and the positioning fixture is located on the conveyor belt and adaptively adjusted according to the size of the anodized film workpiece to be inspected. The position sensor collects the position information of the anodized film workpiece on the conveyor belt in real time and feeds it back to the central control module.

3. The anodic oxide film detection system according to claim 2, characterized in that, The pretreatment module includes, in sequence, a high-pressure spray unit, an ultrasonic cleaning unit, a hot air drying unit, and an ion wind static elimination unit, wherein: The workpiece to be inspected is first sprayed by the high-pressure spray unit and cleaned by the ultrasonic cleaning unit, then dried by the hot air drying unit, and finally the electrostatic charge generated by friction on the surface of the workpiece is eliminated by the ion wind static elimination unit. The high-pressure spray unit is equipped with a filter unit, which adopts a multi-layer filter screen structure. The pore size of the filter screen gradually decreases from the water inlet end to the water outlet end, thereby filtering out impurities in the spray water.

4. The anodic oxide film detection system according to claim 3, characterized in that, For the multi-dimensional detection module, where: The thickness detection unit uses an eddy current thickness gauge. The distance between the probe of the eddy current thickness gauge and the surface of the workpiece is controlled by an adjustment mechanism to detect the thickness value of different areas of the anodized film in real time. The porosity detection unit includes an electrolyte supply subunit, an electrolytic cell subunit, and a current detection subunit. The electrolyte supply subunit quantitatively supplies phosphoric acid electrolyte of a preset concentration. The electrolytic cell subunit forms a sealed electrolytic environment with the workpiece to be tested area. The current detection subunit collects current change data in real time during the electrolysis process and calculates the porosity of the anodic oxide film based on the current change curve. The hardness testing unit uses a microhardness tester. The indenter of the microhardness tester is pressed into a preset position on the surface of the workpiece under the control of the central control module, and the hardness value of the workpiece is calculated based on the indentation size. The corrosion resistance testing unit employs a neutral salt spray test subunit and an electrochemical impedance spectroscopy (EIS) detection subunit. The neutral salt spray test subunit controls the salt spray concentration, temperature, and humidity, and the test time is set according to requirements. The EIS detection subunit scans within a preset frequency range to obtain the impedance parameters of the workpiece in order to evaluate the corrosion resistance of the oxide film. The appearance defect detection unit includes a high-resolution industrial camera, a light source system, and an image analysis subunit. The light source system uses a multi-angle ring light source to eliminate the influence of workpiece surface reflection on the detection. The high-resolution industrial camera acquires high-definition images of the workpiece surface, and the image analysis subunit uses a deep learning algorithm to process the acquired high-definition images to identify defects on the workpiece surface.

5. The anodic oxide film detection system according to claim 4, characterized in that, The sorting module includes a robotic arm, multiple sorting channels, and a weight sensor. Under the control of the central control module, the robotic arm picks up workpieces of different quality grades and places them into the corresponding sorting channels. The weight sensor detects the weight of the sorted workpieces.

6. The anodic oxide film detection system according to claim 5, characterized in that, The central control module includes a touch screen, a control chip, and a communication subunit. The touch screen is used to display the system's working status, detection data, and quality evaluation reports, facilitating parameter setting and operation control by operators. The control chip processes and responds to various control commands, and the communication subunit supports wired and wireless communication methods to achieve data interaction and remote monitoring with external devices.

7. The anodic oxide film detection system according to claim 6, characterized in that, The image analysis subunit performs quantitative analysis of the color difference on the workpiece surface. By collecting color data from a standard color swatch and the workpiece surface, it calculates the color difference ΔE value between the two to evaluate the color uniformity of the workpiece.

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