Thermoelectric material performance detection system

Abstract

The invention, which relates to the technical field of thermoelectric material detection, discloses a thermoelectric material performance detection system comprising a data acquisition module, an image analysis module, a transportation and transfer module, a performance detection module and an evaluation module. And the data acquisition module comprises a database, a camera and a micro-nano indentation instrument, and is used for acquiring data of each layer of material of the thermoelectric material, shooting image data of the thermoelectric material and pressure data of the thermoelectric material. The image analysis module is used for analyzing and marking the thermoelectric material, the marked thermoelectric material is conveyed 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 for detecting the thermoelectric material according to the deformation state of the thermoelectric material. And the effect of detecting according to the specific condition of the thermoelectric material is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of thermoelectric material detection, and in particular to a thermoelectric material performance detection system. Background Art

[0002] Thermoelectric materials are functional materials that can convert heat 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 resource survey and exploration activities on the earth, it is necessary to develop a type of power supply system that can supply energy by itself and does not require care. Thermoelectric power generation is particularly suitable for these applications. Thermoelectric material performance testing refers to the process of testing and evaluating the thermoelectric performance of thermoelectric materials. 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 the thermoelectric material. Therefore, we propose a thermoelectric material performance detection system. Summary of the invention

[0004] The object of the present invention is to provide a thermoelectric material performance detection system.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: a thermoelectric material performance detection system, the detection system comprising 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 material data of each layer of the thermoelectric material, photographing image data of the thermoelectric material and pressure data of the thermoelectric material, using the micro-nano indentation instrument to extrude the thermoelectric material, then photographing the extruded thermoelectric material through the camera, and transmitting the camera photographed data to the image analysis module;

[0007] The image analysis module analyzes the image data of the thermoelectric material. The image analysis module performs a preliminary analysis based on the morphology of the thermoelectric material captured 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;

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

[0009] The performance detection module includes a first detection module and a second detection module. The first detection module performs overall detection of the thermoelectric material marked as A2 by using an X-ray device 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 analyzing the distribution and morphology of the thermoelectric material by metallographic analysis. The thermoelectric material detection data is then transmitted to the evaluation module. The electrical performance and heat flow detection module is set in the performance detection module, and the performance of the thermoelectric material is analyzed by using the electric 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 in the performance detection module, and generates performance list data of the corresponding thermoelectric material.

[0011] As a further solution of the present invention: an image evaluation unit is set in the image analysis module, and a camera is used to take a 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 an edge detection algorithm. After the thermoelectric material data is pressure-tested, the camera then takes a shot of the thermoelectric material again 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, and the comparison unit compares the image data after detection and the image data before detection, and obtains the deformation percentage of the thermoelectric material after pressure detection through a formula, and the specific formula is as follows:

[0013]

[0014] Where P represents the deformation percentage of the thermoelectric material, G 下x1 Indicates the data of the lower boundary of the thermoelectric material after pressure detection, G 下x0 Indicates the data of the lower boundary of the thermoelectric material after the test without pressure, G 上x1 Indicates the upper boundary data of the thermoelectric material after pressure detection, G 上x0 Data indicating the upper boundary of the thermoelectric material after testing without stress.

[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 is no crack 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 solution of the present invention: after receiving the thermoelectric material delivered by the transportation and transfer module, the first detection module uses an X-ray device to penetrate the thermoelectric material, and uses the X-ray device to detect the thermoelectric material in the lateral and vertical directions. The first detection module determines the intensity of the X-rays and obtains the internal crack data of the thermoelectric material based on the intensity of the X-rays.

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

[0020]

[0021] Where XI represents the X-ray intensity data in the vertical direction inside the thermoelectric material affected by the cracks, I i0 represents the intensity data of the i-th X-ray, I if It represents the intensity data of the i-th X-ray when penetrating the crack, and then the emission points of the X-rays are arranged from left to right on the top of the thermoelectric material. When the top of the thermoelectric material is on a flat surface, the crack data inside the thermoelectric material is obtained according to the X-ray intensity.

[0022] As a further solution 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 thermoelectric materials at different levels. The first detection module analyzes the relationship between the longitudinal and vertical directions to obtain the crack data of the thermoelectric material analyzed by X-rays.

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

[0024] As a further solution 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 properties and heat flow of the thermoelectric material in the current state, and transmits the measured data to the evaluation module for evaluation.

[0025] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0026] 1. The present invention analyzes the processed thermoelectric material through an image analysis module, and uses the image analysis module to analyze and mark the thermoelectric material, and transmits the marked thermoelectric material to the corresponding performance detection module through the transportation and transfer module, and then uses the first detection module and the second detection module to detect the thermoelectric material according to the deformation state of the thermoelectric material, so as to achieve the effect of facilitating detection according to the specific situation of the thermoelectric material;

[0027] 2. The present invention obtains the data of the thermoelectric material before and after being compressed through the formula, and then obtains the deformation of the thermoelectric material through the image evaluation unit, so that the image analysis module can more accurately determine whether there is a fracture inside the thermoelectric material, which is convenient for the performance detection module to more accurately detect the specific situation of the thermoelectric material, and achieves a more convenient analysis of the internal fracture data of the thermoelectric material;

[0028] 3. The present invention detects thermoelectric materials with deformation less than 3% by X-rays, further determines whether cracks appear in the thermoelectric materials, and slices and analyzes the thermoelectric materials by the second detection module, thereby being able to perform specific analysis according to thermoelectric materials in different states, and facilitating analysis of the performance of thermoelectric materials according to the deformation state of the thermoelectric materials;

[0029] 4. The present invention slices the thermoelectric material through the second detection module, and then uses metallographic analysis to analyze the specific structure inside the thermoelectric material, so that the evaluation module analyzes the thermoelectric material under different crack states. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of the detection system in an embodiment of the present invention;

[0031] Figure 2 This is a flow chart of the performance detection module in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0033] Embodiment 1:

[0034] A thermoelectric material performance detection system. Thermoelectric material is a functional material that can convert heat 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 resource survey and exploration activities on the earth, it is necessary to develop a type of power supply system that can supply energy by itself and does not require care. Thermoelectric power generation is particularly suitable for these applications. Thermoelectric material performance detection refers to the process of testing and evaluating the thermoelectric performance of thermoelectric materials. The quality of its performance directly affects its application effect in thermoelectric devices.

[0035] However, the existing thermoelectric material performance detection technology is not convenient for performing specific classification detection according to the deformation state of the thermoelectric material.

[0036] Please refer to the attached Figure 1 -Attached Figure 2 , the present invention provides 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 material data of each layer of the thermoelectric material, taking image data of the thermoelectric material and pressure data of the thermoelectric material. The thermoelectric material is extruded by the micro-nano indentation instrument, and then the extruded thermoelectric material is photographed by the camera, and the camera photographed data is transmitted to the image analysis module;

[0038] The image analysis module analyzes the image data of the thermoelectric material. The image analysis module performs a preliminary analysis based on the morphology of the thermoelectric material captured 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 transport and transfer module is used to identify the marked thermoelectric materials and transport the thermoelectric materials to different performance detection modules according to the markings of the thermoelectric materials;

[0040] The performance detection module includes a first detection module and a second detection module. The first detection module performs an overall detection on the thermoelectric material marked as A2 by using an X-ray device 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 analyzing the distribution and morphology of the thermoelectric material by metallographic analysis. The thermoelectric material detection data is then transmitted to the evaluation module. The electrical performance and heat flow detection module is set in the performance detection module, and the performance of the thermoelectric material is analyzed by using the electric thermal energy and heat flow detection module.

[0041] 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 of the corresponding thermoelectric material.

[0042] Specific workflow: The basic material data of each layer of the thermoelectric material is obtained through the database in the data acquisition module, and then the thermoelectric material is processed through a camera and a micro-nano indentation instrument, and the acquired data is transmitted 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 thermoelectric materials in different states are detected by the first detection module and the second detection module, and then the heat flow and electrical properties of the thermoelectric material are measured by the performance detection module, and the measurement data of the performance detection module and the thermoelectric material data in the data acquisition module are transmitted to the evaluation module, and then the evaluation module performs evaluation based on the measurement data and the thermoelectric material data in the data acquisition module.

[0043] Furthermore, the processed thermoelectric material is analyzed by an image analysis module, and the image analysis module is used to analyze and mark the thermoelectric material. The marked thermoelectric material is transferred 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, thereby achieving the effect of facilitating detection according to the specific situation of the thermoelectric material.

[0044] Embodiment 2:

[0045] Based on the first embodiment, please refer to the attached Figure 1 -Attached Figure 2 As shown, an image evaluation unit is set in the image analysis module, and a camera is used to take a first shot of the thermoelectric material data that has not been detected. The edge data of the thermoelectric material is obtained by the edge detection algorithm in the image evaluation unit. After the thermoelectric material data is pressure-tested, the camera takes a shot of the thermoelectric material again, and the shot data is transmitted to the image evaluation unit. A comparison unit is inserted into the image evaluation unit, and the comparison unit compares the image data after detection and the image data before detection, and obtains the deformation percentage of the thermoelectric material after pressure detection through a formula. The specific formula is as follows:

[0046]

[0047] Where P represents the deformation percentage of the thermoelectric material, G 下x1 Indicates the data of the lower boundary of the thermoelectric material after pressure detection, G 下x0 Indicates the data of the lower boundary of the thermoelectric material after the test without pressure, G 上x1 Indicates the upper boundary data of the thermoelectric material after pressure detection, G上x0 Data indicating the upper boundary of the thermoelectric material after testing without stress.

[0048] Specific work flow: The camera takes photos of the thermoelectric material before and after data collection. The image evaluation unit can analyze the thermoelectric material data after the thermoelectric material is subjected to pressure detection, and then determine whether cracks may appear inside the thermoelectric material, so that the transportation and transfer module can transport the thermoelectric material as needed.

[0049] Furthermore, the data of the thermoelectric material before and after being compressed are obtained through formulas, and then the deformation of the thermoelectric material is obtained through the image evaluation unit, so that the image analysis module can more accurately determine whether there is a fracture inside the thermoelectric material, which makes it easier for the performance detection module to detect the specific conditions of the thermoelectric material more accurately, making it more convenient to analyze the internal fracture data of the thermoelectric material.

[0050] Embodiment three:

[0051] Based on the second embodiment, please refer to the attached Figure 1 -Attached 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 is no crack 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. 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 uses an X-ray device to penetrate the thermoelectric material, and uses the X-ray device to detect the thermoelectric material in the horizontal and vertical directions. The first detection module determines the intensity of the X-rays and obtains the internal crack data of the thermoelectric material according to the intensity of the X-rays. 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 thermoelectric materials at different levels. The first detection module analyzes the relationship between the longitudinal and vertical directions to obtain the crack data of the thermoelectric material analyzed by the X-ray.

[0054] Specific work flow: 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. X-ray equipment is used to penetrate the thermoelectric material, and the horizontal and vertical directions of the thermoelectric material are detected to determine the intensity of the X-rays. The internal crack data of the thermoelectric material is obtained according to the intensity of the X-rays. After obtaining the vertical crack data of the thermoelectric material, the longitudinal crack data of the thermoelectric material is obtained, the absorption coefficients of thermoelectric materials at different levels are analyzed to obtain the X-ray intensity, and the relationship between the longitudinal and vertical directions is analyzed to obtain the crack data of the thermoelectric material analyzed by the X-ray.

[0055] Furthermore, X-rays are used to detect thermoelectric materials with deformation less than 3% to further determine whether cracks appear in the thermoelectric materials. The thermoelectric materials are sliced ​​and analyzed by the second detection module, and specific analysis can be performed based on the thermoelectric materials in different states, which facilitates analysis of the performance of the thermoelectric materials based on the deformation state of the thermoelectric materials.

[0056] Embodiment 4:

[0057] Based on the third embodiment, please refer to the attached Figure 1 -Attached 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 crack data inside the thermoelectric material. After the first detection module and the second detection module have completed the detection of the crack data of the thermoelectric material, the performance detection module measures the electrical properties and heat flow of the thermoelectric material in the current state through the performance detection module, and transmits the measured data to the evaluation module for evaluation.

[0058] Specific work flow: The second detection module receives the thermoelectric material, cuts the thermoelectric material through a cutting device, uses metallographic analysis to observe the internal distribution and morphology of the thermoelectric material, and obtains 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 properties and heat flow of the thermoelectric material in the current state, and transmits the measured data to the evaluation module for evaluation.

[0059] Furthermore, the thermoelectric material is sliced ​​by the second detection module, and then the specific structure inside the thermoelectric material is analyzed by metallographic analysis, so that the evaluation module can analyze the thermoelectric material under different crack states.

[0060] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached 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, photographing image data of the thermoelectric material and pressure data of the thermoelectric material, using the micro-nano indentation instrument to extrude the thermoelectric material, then photographing the extruded thermoelectric material through the camera, and transmitting the camera photographed data to the image analysis module; The image analysis module analyzes the image data of the thermoelectric material. The image analysis module performs a preliminary analysis based on the morphology of the thermoelectric material captured 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; The transport and transfer module is used to identify the marked thermoelectric material and transport the thermoelectric material to different performance detection modules according to the mark of the thermoelectric material; The performance detection module includes a first detection module and a second detection module. The first detection module performs overall detection of the thermoelectric material marked as A2 by using an X-ray device 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 analyzing the distribution and morphology of the thermoelectric material by metallographic analysis. The thermoelectric material detection data is then transmitted to the evaluation module. The electrical performance and heat flow detection module is set in the performance detection module, and the performance of the thermoelectric material is analyzed by using the electric 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 of the corresponding thermoelectric material.

2. A thermoelectric material performance detection system according to claim 1, characterized in that: An image evaluation unit is provided in the image analysis module, and a camera is used to take a 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 an edge detection algorithm. After pressure detection is performed on the thermoelectric material data, the camera then takes a shot of the thermoelectric material again and transmits the shot data to the image evaluation unit.

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

4. A thermoelectric material performance detection system according to claim 3, characterized in that: 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; When P<3%, the comparison unit determines that there is no crack 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. A thermoelectric material performance detection system according to claim 4, characterized in that: After receiving the thermoelectric material delivered by the transportation and transfer module, the first detection module uses an X-ray device to penetrate the thermoelectric material, and detects the thermoelectric material in the lateral and vertical directions 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 based on the intensity of the X-ray.

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

7. A thermoelectric material performance detection system according to claim 6, characterized in that: After obtaining 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 thermoelectric materials at different levels. The first detection module analyzes the relationship between the longitudinal and vertical directions to obtain the crack data of the thermoelectric material analyzed by X-rays.

8. A thermoelectric material performance detection system according to claim 4, characterized in that: After receiving the thermoelectric material, the second detection module cuts the thermoelectric material itself by a cutting device, and observes the distribution and morphology inside the thermoelectric material by metallographic analysis to obtain crack data inside the thermoelectric material.

9. A thermoelectric material performance detection system according to claim 1, characterized in that: After the first detection module and the second detection module have completed detecting 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 through the performance detection module, and transmits the measured data to the evaluation module for evaluation.

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