A thermoelectric material performance detection system

Abstract

The present invention discloses a thermoelectric material performance detection system, which relates to the technical field of thermoelectric material detection. The detection system includes a data acquisition module, an image analysis module, a transportation and transfer module, a performance detection module, and an evaluation module. The data acquisition module includes a database, a camera, and a micro-nano indentation instrument for obtaining the material data of each layer of the thermoelectric material, photographing the image data of the thermoelectric material, and the pressure data of the thermoelectric material. The advantages of the present invention are as follows: The thermoelectric material analyzed and processed by the image analysis module is used, and the image analysis module analyzes and marks the thermoelectric material. The marked thermoelectric material is transmitted to the corresponding performance detection module through the transportation and transfer module, and then the first detection module and the second detection module are used to detect the thermoelectric material according to the deformation state of the thermoelectric material respectively, achieving the effect of facilitating the detection according to the specific situation of the thermoelectric material.

Description

Technical Field

[0001] The present invention relates to the technical field of thermoelectric material detection, and particularly to a performance detection system for thermoelectric materials. Background Art

[0002] Thermoelectric materials are functional materials that can convert thermal energy and electrical energy into each other. The Seebeck effect discovered in 1821 and the Peltier effect discovered in 1834 provide a theoretical basis for the application of thermoelectric energy converters and thermoelectric refrigeration. With the increasing interest in space exploration, the progress of applied physics, and the increasing exploration activities of resources that are difficult to obtain on Earth, it is necessary to develop a type of power supply system that can supply its own energy and does not require supervision. Thermoelectric power generation is particularly suitable for these applications. The performance detection of thermoelectric materials refers to the process of testing and evaluating the thermoelectric performance of thermoelectric materials, and the quality of its performance directly affects its application effect in thermoelectric devices;

[0003] However, the existing thermoelectric material performance detection technology is not convenient for specific classification detection according to the deformation state of thermoelectric materials. For this reason, we propose a performance detection system for thermoelectric materials. Summary of the Invention

[0004] The purpose of the present invention is to provide a performance detection system for thermoelectric materials.

[0005] To solve the problems raised in the above background art, the present invention provides the following technical solution: A performance detection system for thermoelectric materials, the detection system includes a data acquisition module, an image analysis module, a transportation and transfer module, a performance detection module, and an evaluation module;

[0006] The data acquisition module includes a database, a camera, and a micro-nano indentation instrument for obtaining each layer of material data of the thermoelectric material, photographing the thermoelectric material image data, and the thermoelectric material pressure data. The micro-nano indentation instrument is used to extrude the thermoelectric material, and then the thermoelectric material during extrusion is photographed by the camera, and the data photographed by the camera is transmitted to the image analysis module;

[0007] The image analysis module analyzes the thermoelectric material image data. The image analysis module conducts a preliminary analysis based on the morphology of the thermoelectric material photographed by the camera and the outer surface of the thermoelectric material, marks the data of the thermoelectric material with deformation and the thermoelectric material with abnormal outer surface as A1, and marks the thermoelectric material without deformation and abnormality as A2;

[0008] The transportation and transfer module is used to identify the marked thermoelectric materials and transport the thermoelectric materials to different performance detection modules according to the marks of the thermoelectric materials;

[0009] The performance detection module includes a first detection module and a second detection module. The first detection module uses an X-ray device to perform an overall detection on the thermoelectric material marked as A2 to detect cracks in the thermoelectric material. The second detection module detects the thermoelectric material marked as A1. By cutting the performance of the thermoelectric material and using metallographic analysis to analyze the distribution and morphology of the thermoelectric material, and then transmits the thermoelectric material detection data to the evaluation module. By setting an electrical performance and heat flow detection module in the performance detection module, the thermoelectric material is analyzed for performance using the electro-thermal energy and heat flow detection module;

[0010] The evaluation module constructs a virtual three-dimensional model based on the image data in the image analysis module and the detection data of the performance detection module, and generates performance list data for the corresponding thermoelectric material.

[0011] As a further solution of the present invention: An image evaluation unit is set in the image analysis module. The camera is used to take the first shot of the thermoelectric material data that has not been detected. The edge detection algorithm is used in the image evaluation unit to obtain the edge data of the thermoelectric material. After the pressure detection of the thermoelectric material data, the camera takes another shot of the thermoelectric material and transmits the shot data to the image evaluation unit.

[0012] As a further solution of the present invention: A comparison unit is inserted into the image evaluation unit. The comparison unit compares the detected and undetected image data, and obtains the deformation percentage of the thermoelectric material after the pressure detection through the formula. The specific formula is as follows:

[0013]

[0014] Where P represents the data of the deformation percentage of the thermoelectric material, G 下x1 represents the lower boundary data of the thermoelectric material after the pressure detection, G 下x0 represents the lower boundary data of the thermoelectric material before the pressure detection, G 上x1 represents the upper boundary data of the thermoelectric material after the pressure detection, G 上x0 represents the upper boundary data of the thermoelectric material before the pressure detection.

[0015] As a further solution of the present invention: After the comparison unit calculates the deformation data of the thermoelectric material, the image analysis module determines the position where the transportation and transfer module needs to transport the thermoelectric material according to the deformation of the thermoelectric material;

[0016] When P < 3%, the comparison unit determines that there are no cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the first detection module;

[0017] When P ≥ 3%, the comparison unit determines that there are cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the second detection module.

[0018] As a further aspect of the present invention: after receiving the thermoelectric material transported by the transportation and transfer module, the first detection module penetrates the thermoelectric material using an X-ray device, detects the thermoelectric material horizontally and vertically through the X-ray device, the first detection module determines the intensity of the X-ray, and obtains the internal crack data of the thermoelectric material according to the intensity of the X-ray.

[0019] As a further aspect of the present invention: when obtaining the intensity of the X-ray, the first detection module obtains the measured intensity affected by cracks in the thermoelectric material through a formula, and the specific formula is as follows:

[0020]

[0021] Among them, XI represents the X-ray intensity data affected by cracks in the vertical direction inside the thermoelectric material, I i0 represents the intensity data of the i-th X-ray, I if represents the intensity data of the i-th X-ray when penetrating through a cracked area. Then, the X-ray emission points are arranged in sequence from left to right at the top of the thermoelectric material. When the top of the thermoelectric material is on a flat surface, the internal crack data of the thermoelectric material is obtained according to the X-ray intensity.

[0022] As a further aspect of the present invention: after the first detection module obtains the vertical crack data of the thermoelectric material, the first detection module obtains the longitudinal crack data of the thermoelectric material, and obtains the X-ray intensity by analyzing the absorption coefficients of different layers of the thermoelectric material. By analyzing the relationship between the longitudinal and vertical directions by the first detection module, the crack data of the thermoelectric material analyzed by the X-ray is obtained.

[0023] As a further aspect of the present invention: after receiving the thermoelectric material, the second detection module cuts the thermoelectric material itself using a cutting device, and observes the internal distribution and morphology of the thermoelectric material using metallographic analysis to obtain the internal crack data of the thermoelectric material.

[0024] As a further aspect of the present invention: after the first detection module and the second detection module complete the detection of the crack data of the thermoelectric material, the performance detection module measures the electrical performance and heat flow of the thermoelectric material in the current state, and transmits the measured data to the evaluation module for evaluation.

[0025] Adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0026] 1. The present invention analyzes and processes the thermoelectric material through an image analysis module, and uses the image analysis module to analyze and mark the thermoelectric material. The marked thermoelectric material is transmitted to the corresponding performance detection module through a transportation and transfer module, and then the first detection module and the second detection module are used to detect the thermoelectric material according to the deformation state of the thermoelectric material respectively, achieving the effect of facilitating the detection according to the specific situation of the thermoelectric material;

[0027] 2. The present invention respectively obtains the data of the thermoelectric material before and after being pressed through formulas, and then obtains the deformation situation of the thermoelectric material through an image evaluation unit, enabling the image analysis module to more accurately judge whether there is a fracture inside the thermoelectric material, facilitating the performance detection module to more accurately detect the specific situation of the thermoelectric material, achieving the effect of more conveniently analyzing the data of the fracture situation inside the thermoelectric material;

[0028] 3. The present invention detects the thermoelectric material with a deformation less than 3% through X-rays to further judge whether there are cracks in the thermoelectric material. The second detection module conducts slicing analysis on the thermoelectric material, and then can conduct specific analysis according to the thermoelectric material in different states, facilitating the analysis of the performance of the thermoelectric material according to the deformation state of the thermoelectric material;

[0029] 4. The present invention slices the thermoelectric material through the second detection module, and then uses metallography to analyze the specific structure inside the thermoelectric material, enabling the evaluation module to analyze the thermoelectric material in different crack states. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is the flowchart of the detection system in the embodiment of the present invention;

[0031] Figure 2 is the flowchart of the performance detection module in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0033] Example 1:

[0034] A thermoelectric material performance detection system. Thermoelectric materials are functional materials that can convert thermal energy and electrical energy into each other. The Seebeck effect discovered in 1821 and the Peltier effect discovered in 1834 provide a theoretical basis for the application of thermoelectric energy converters and thermoelectric refrigeration. With the increasing interest in space exploration, the progress of applied physics, and the increasing exploration activities of scarce resources on Earth, there is a need to develop a type of power supply system that can supply its own energy and does not require supervision. Thermoelectric power generation is particularly suitable for these applications. The performance detection of thermoelectric materials refers to the process of testing and evaluating the thermoelectric performance of thermoelectric materials, and the quality of its performance directly affects its application effect in thermoelectric devices;

[0035] However, the existing thermoelectric material performance detection technologies are not convenient for specific classification detection according to the deformation state of thermoelectric materials.

[0036] Please refer to the attached Figure 1 - attached Figure 2 For the present invention, a thermoelectric material performance detection system, the detection system includes a data acquisition module, an image analysis module, a transportation and transfer module, a performance detection module, and an evaluation module;

[0037] The data acquisition module includes a database, a camera, and a micro-nano indentation instrument for obtaining the material data of each layer of the thermoelectric material, photographing the image data of the thermoelectric material, and the pressure data of the thermoelectric material. The micro-nano indentation instrument is used to extrude the thermoelectric material, and then the camera is used to photograph the thermoelectric material during extrusion, and the data photographed by the camera is transmitted to the image analysis module;

[0038] The image analysis module analyzes the image data of the thermoelectric material. The image analysis module conducts a preliminary analysis based on the morphology of the thermoelectric material photographed by the camera and the outer surface of the thermoelectric material, and marks the data of the thermoelectric material with deformation and the thermoelectric material with abnormal outer surface as A1, and marks the thermoelectric material without deformation and abnormality as A2;

[0039] The transportation and transfer module is used to identify the marked thermoelectric materials and transport the thermoelectric materials to different performance detection modules according to the marks of the thermoelectric materials;

[0040] The performance detection module includes a first detection module and a second detection module. The first detection module conducts an overall detection of the thermoelectric materials marked as A2 through X-ray equipment to detect cracks in the thermoelectric materials. The second detection module detects the thermoelectric materials marked as A1. By cutting the performance of the thermoelectric materials and using metallographic analysis to analyze the distribution and morphology of the thermoelectric materials, and then transmits the thermoelectric material detection data to the evaluation module. By setting an electrical performance and heat flow detection module in the performance detection module, the electrical and heat energy and heat flow detection module is used to analyze the performance of the thermoelectric materials;

[0041] The evaluation module constructs a virtual 3D model based on the image data in the image analysis module and the detection data of the performance detection module, and generates performance list data of the corresponding thermoelectric materials.

[0042] Specific working process: Obtain the material basic data of each layer of the thermoelectric material through the database in the data acquisition module, then process the thermoelectric material through the camera and the micro-nano indentation instrument, and transmit the obtained data to the image analysis module. The image analysis module analyzes the thermoelectric material through the camera data, and uses the transportation and transfer module to transport the thermoelectric material to the performance detection module. The first detection module and the second detection module detect the thermoelectric material in different states, and then the performance detection module measures the heat flow and electrical performance of the thermoelectric material, and transmits the measurement data of the performance detection module and the thermoelectric material data in the data acquisition module to the evaluation module, and then the evaluation module evaluates according to the measurement data and the thermoelectric material data in the data acquisition module.

[0043] Furthermore, the thermoelectric material analyzed and processed by the image analysis module is used, and the image analysis module analyzes and marks the thermoelectric material. The marked thermoelectric material is transmitted to the corresponding performance detection module through the transportation and transfer module, and then the first detection module and the second detection module respectively detect the thermoelectric material according to the deformation state of the thermoelectric material, achieving the effect of facilitating detection according to the specific situation of the thermoelectric material.

[0044] Embodiment 2:

[0045] Based on Embodiment 1, please refer to the appendix Figure 1 - Appendix Figure 2 As shown, an image evaluation unit is set in the image analysis module. The camera takes the first shot of the thermoelectric material data that has not been detected. The image evaluation unit obtains the edge data of the thermoelectric material through the edge detection algorithm. After the pressure detection of the thermoelectric material data, the camera takes another shot of the thermoelectric material, and transmits the shot data to the image evaluation unit. A comparison unit is inserted in the image evaluation unit. The comparison unit compares the detected and undetected image data, and obtains the deformation percentage of the thermoelectric material after the pressure detection through the formula. The specific formula is as follows:

[0046]

[0047] Where P represents the data of the deformation percentage of the thermoelectric material, G 下x1 represents the lower boundary data of the thermoelectric material after being subjected to pressure detection, G 下x0 represents the lower boundary data of the thermoelectric material before being subjected to pressure detection, G 上x1 represents the upper boundary data of the thermoelectric material after being subjected to pressure detection上x0 It represents the data of the upper boundary of the thermoelectric material after the pressure detection is not received.

[0048] Specific working process: Take pictures of the thermoelectric material before and after data collection through a camera. Then, the image evaluation unit can analyze the data of the thermoelectric material after the pressure detection, and then judge whether there may be cracks inside the thermoelectric material, so that the transportation and transfer module transports the thermoelectric material as needed.

[0049] Furthermore, obtain the data of the thermoelectric material before and after being pressed through formulas, and then obtain the deformation situation of the thermoelectric material through the image evaluation unit, so that the image analysis module can more accurately judge whether there is a fracture inside the thermoelectric material, facilitating the performance detection module to more accurately detect the specific situation of the thermoelectric material, achieving more convenient analysis of the data of the fracture situation inside the thermoelectric material.

[0050] Embodiment 3:

[0051] Based on Embodiment 2, please refer to the appendix Figure 1 - Appendix Figure 2 As shown, after the comparison unit calculates the deformation data of the thermoelectric material, the image analysis module determines the position where the transportation and transfer module needs to transport the thermoelectric material according to the deformation of the thermoelectric material;

[0052] When P < 3%, the comparison unit determines that there are no cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the first detection module;

[0053] When P ≥ 3%, the comparison unit determines that there are cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the second detection module. After receiving the thermoelectric material transported by the transportation and transfer module, the first detection module penetrates the thermoelectric material using X-ray equipment, and detects the thermoelectric material horizontally and vertically through the X-ray equipment. The first detection module judges the intensity of the X-ray, obtains the internal crack data of the thermoelectric material according to the intensity of the X-ray. After the first detection module obtains the vertical crack data of the thermoelectric material, the first detection module obtains the longitudinal crack data of the thermoelectric material, and obtains the X-ray intensity by analyzing the absorption coefficients of different layers of the thermoelectric material. By analyzing the relationship between the longitudinal and vertical directions through the first detection module, the crack data of the thermoelectric material analyzed by the X-ray is obtained.

[0054] Specific workflow: The comparison unit calculates the deformation data of the thermoelectric material. When the deformation data P < 3%: The comparison unit determines that there are no cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the first detection module. When the deformation data P ≥ 3%: The comparison unit determines that there are cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the second detection module. Use an X-ray device to penetrate the thermoelectric material, detect the horizontal and vertical directions of the thermoelectric material, judge the intensity of the X-ray, obtain the crack data inside the thermoelectric material according to the intensity of the X-ray. After obtaining the vertical crack data of the thermoelectric material, obtain the longitudinal crack data of the thermoelectric material, analyze the absorption coefficient of different layers of the thermoelectric material to obtain the X-ray intensity, analyze the relationship between the longitudinal and vertical directions, and obtain the crack data of the thermoelectric material analyzed by the X-ray.

[0055] Furthermore, detect the thermoelectric material with a deformation less than 3% through X-rays to further determine whether there are cracks in the thermoelectric material. Analyze the thermoelectric material by slicing through the second detection module, and then it is possible to conduct a specific analysis according to the thermoelectric material in different states, which is convenient for analyzing the performance of the thermoelectric material according to the deformation state of the thermoelectric material.

[0056] Embodiment 4:

[0057] Based on Embodiment 3, please refer to the appendix Figure 1 - appendix Figure 2 As shown, after receiving the thermoelectric material, the second detection module cuts the thermoelectric material itself through a cutting device, and uses metallographic analysis to observe the distribution and morphology inside the thermoelectric material to obtain the crack data inside the thermoelectric material. After the first detection module and the second detection module complete the detection of the crack data of the thermoelectric material, the performance detection module measures the electrical performance and heat flow of the thermoelectric material in the current state, and transmits the measured data to the evaluation module for evaluation.

[0058] Specific workflow: The second detection module receives the thermoelectric material, cuts the thermoelectric material through a cutting device, uses metallographic analysis to observe the distribution and morphology inside the thermoelectric material to obtain the crack data inside the thermoelectric material. After the first detection module and the second detection module complete the detection of the crack data of the thermoelectric material, the performance detection module measures the electrical performance and heat flow of the thermoelectric material in the current state, and transmits the measured data to the evaluation module for evaluation.

[0059] Furthermore, slice the thermoelectric material through the second detection module, and then use metallographic analysis to analyze the specific structure inside the thermoelectric material, so that the evaluation module can analyze the thermoelectric material in different crack states.

[0060] The basic principles, main features and advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A thermoelectric material performance detection system, characterized in that: The detection system includes a data acquisition module, an image analysis module, a transportation and transfer module, a performance detection module, and an evaluation module; The data acquisition module includes a database, a camera, and a micro-nano indentation instrument for obtaining material data of each layer of the thermoelectric material, capturing image data of the thermoelectric material, and obtaining pressure data of the thermoelectric material. The micro-nano indentation instrument is used to extrude the thermoelectric material, and then the camera captures the thermoelectric material during extrusion, and transmits the data captured by the camera to the image analysis module; The image analysis module analyzes the image data of the thermoelectric material. The image analysis module conducts a preliminary analysis based on the morphology of the thermoelectric material captured by the camera and the outer surface of the thermoelectric material, marks the data of the thermoelectric material with deformation and the thermoelectric material with abnormal outer surface as A1, and marks the thermoelectric material without deformation and abnormality as A2; The transportation and transfer module is used to identify the marked thermoelectric materials and transport the thermoelectric materials to different performance detection modules according to the marks of the thermoelectric materials; The performance detection module includes a first detection module and a second detection module. The first detection module uses an X-ray device to conduct an overall detection of the thermoelectric material marked as A2 to detect cracks in the thermoelectric material. The second detection module detects the thermoelectric material marked as A1, analyzes the distribution and morphology of the thermoelectric material by cutting the performance of the thermoelectric material and using metallographic analysis, and then transmits the thermoelectric material detection data to the evaluation module. By setting an electrical performance and heat flow detection module in the performance detection module, the performance of the thermoelectric material is analyzed using the electro-thermal energy and heat flow detection module; The evaluation module constructs a virtual three-dimensional model based on the image data in the image analysis module and the detection data in the performance detection module, and generates performance list data for the corresponding thermoelectric materials.

2. The performance detection system for a thermoelectric material according to claim 1, wherein: An image evaluation unit is set in the image analysis module. The camera takes a first shot of the thermoelectric material data that has not been detected. The edge data of the thermoelectric material is obtained through an edge detection algorithm in the image evaluation unit. After the pressure detection of the thermoelectric material data, the camera takes another shot of the thermoelectric material and transmits the captured data to the image evaluation unit.

3. The thermoelectric material performance detection system according to claim 2, characterized in that: A comparison unit is inserted into the image evaluation unit. The comparison unit compares the detected and undetected image data, and obtains the deformation percentage of the thermoelectric material after pressure detection through a formula. The specific formula is as follows: Among them, P represents the data of the deformation percentage of the thermoelectric material, and G 下x1 represents the data of the lower boundary of the thermoelectric material after pressure detection, and G 下x0 represents the data of the lower boundary of the thermoelectric material without pressure detection, and G 上x1 represents the data of the upper boundary of the thermoelectric material after pressure detection, and G 上x0 represents the data of the upper boundary of the thermoelectric material without pressure detection.

4. The performance detection system for a thermoelectric material according to claim 3, wherein: After the comparison unit calculates the deformation data of the thermoelectric material, the image analysis module determines the position where the transportation and transfer module needs to transport the thermoelectric material based on the deformation of the thermoelectric material; When P < 3%, the comparison unit determines that there are no cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the first detection module; When p ≥ 3%, the comparison unit determines that there are cracks inside the current thermoelectric material, and the transportation and transfer module transports the thermoelectric material to the second detection module.

5. The performance detection system for a thermoelectric material according to claim 4, characterized in that: After receiving the thermoelectric materials conveyed by the transportation and transfer module, the first detection module uses an X-ray device to penetrate the thermoelectric materials, and detects the thermoelectric materials horizontally and vertically through the X-ray device. The first detection module judges the intensity of the X-rays and obtains the internal crack data of the thermoelectric materials according to the intensity of the X-rays.

6. The thermoelectric material performance detection system according to claim 5, characterized in that: When the first detection module obtains the intensity of the X-rays, it obtains the measured intensity affected by cracks of the thermoelectric materials through a formula. The specific formula is as follows: Among them, XI represents the X-ray intensity data affected by cracks in the vertical direction inside the thermoelectric material, and I i0 represents the intensity data of the i-th X-ray, and I if represents the intensity data of the i-th X-ray when penetrating through the crack. Then, the X-ray emission points are arranged in sequence from left to right on the top of the thermoelectric material. When the top of the thermoelectric material is in a flat surface, the crack data inside the thermoelectric material is obtained according to the X-ray intensity.

7. The performance detection system for a thermoelectric material according to claim 6, characterized in that: After the first detection module obtains the vertical crack data of the thermoelectric materials, the first detection module obtains the longitudinal crack data of the thermoelectric materials, and obtains the X-ray intensity by analyzing the absorption coefficients of different layers of thermoelectric materials. By analyzing the relationship between the longitudinal and vertical directions through the first detection module, the crack data of the thermoelectric materials analyzed by the X-rays is obtained.

8. The performance detection system for a thermoelectric material according to claim 4, characterized in that: After receiving the thermoelectric materials, the second detection module cuts the thermoelectric materials themselves through a cutting device, and observes the internal distribution and morphology of the thermoelectric materials by metallographic analysis to obtain the internal crack data of the thermoelectric materials.

9. The performance detection system for a thermoelectric material according to claim 1, wherein: After the first detection module and the second detection module have detected the crack data of the thermoelectric materials, the performance detection module measures the electrical performance and heat flow of the thermoelectric materials in the current state, and transmits the measured data to the evaluation module for evaluation.

Images