A high-efficiency metallographic characterization device for metal additive materials and its operating method

Abstract

This invention provides an efficient metallographic characterization device and operating method for metal additive materials, relating to the field of metal additive materials technology. The device includes a sample loading / unloading module, a metallographic scanning module, a control module, a data interaction module, and a support frame. Both the sample loading / unloading module and the metallographic scanning module are mounted on the support frame and are communicatively connected to the control module. The control module is communicatively connected to an external central control platform through the data interaction module. The sample loading / unloading module temporarily stores strip-shaped substrate samples and enables precise transfer of these samples between the sample loading / unloading module and the metallographic scanning module. The metallographic scanning module scans the strip-shaped substrate samples and acquires metallographic image information, and transmits the acquired information to the external central control platform in real time through the data interaction module.

Description

Technical Field

[0001] This invention relates to the field of metal additive materials technology, and in particular to a high-efficiency metallographic characterization device and operating method for metal additive materials. Background Technology

[0002] The combination of factors, such as the wide range of choices in the composition of additive manufacturing metal materials and the complexity of the preparation process parameters, severely restricts the speed of its development. Traditional, inefficient research methods are often unable to meet the urgent need to solve these challenges.

[0003] Currently, the deep integration of artificial intelligence (AI) technology and scientific research provides a novel solution for advancing materials research and development. Highly efficient materials characterization devices and methods that integrate automation and intelligence can liberate researchers from tedious, repetitive experiments while significantly accelerating data production and ensuring data consistency and homogeneity. These are crucial tools for AI to accelerate materials discovery. However, strong coupling between metallographic characterization methods and data production devices for metallic materials systems is still lacking.

[0004] In the existing additive manufacturing process for metal materials, there are problems such as complex and inefficient metallographic characterization of large batches of small-sized metal samples, poor data consistency, and difficulty in directly adapting to the needs of artificial intelligence modeling. Summary of the Invention

[0005] The purpose of this invention is to provide a high-efficiency metallographic characterization device and operating method for metal additive materials. The various technical effects of the preferred technical solutions provided by this invention are detailed below.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] The present invention provides an efficient metallographic characterization device for metal additive materials, comprising a sample loading and unloading module, a metallographic scanning module, a control module, a data interaction module, and a support frame. The sample loading and unloading module and the metallographic scanning module are both mounted on the support frame. The sample loading and unloading module and the metallographic scanning module are both communicatively connected to the control module. The control module is communicatively connected to an external central control platform through the data interaction module. The sample loading and unloading module is used to temporarily store strip-shaped substrate samples and can accurately transfer the strip-shaped substrate samples between the sample loading and unloading module and the metallographic scanning module. The metallographic scanning module is used to scan the strip substrate sample and acquire metallographic image information, and can transmit the acquired information to the external central control platform in real time through the data interaction module.

[0008] Optionally, the sample loading and unloading module includes a robotic arm, an electric gripper, and a material storage platform. The robotic arm and the material storage platform are both mounted on the carrier frame. The electric gripper is detachably connected to the robotic arm. Both the electric gripper and the robotic arm are communicatively connected to the control module. The control module is used to control the robotic arm to perform multi-dimensional spatial movements and to control the electric gripper to grasp the strip-shaped substrate sample on the material storage platform.

[0009] Optionally, the material storage platform is provided with a storage area to be tested and a storage area that has been tested. The strip substrate sample to be tested is temporarily stored in the storage area to be tested, and the strip substrate sample that has been tested is temporarily stored in the storage area that has been tested.

[0010] Optionally, the metallographic scanning module includes an electric stage, a support base, an electric lifting structure, and an epi-image system. The electric stage and the support base are both mounted on the carrier frame. The electric lifting structure is connected to the support base, and the epi-image system is connected to the electric lifting structure. The electric stage, the electric lifting structure, and the epi-image system are all communicatively connected to the control module. The electric stage is used to support the strip substrate sample, and the control module can drive the electric stage to move the strip substrate sample on it in the horizontal direction. The control module can drive the electric lifting structure to push the fall imaging system to move up and down in the vertical direction; The incident imaging system is used to scan the strip substrate sample on the electric stage and acquire metallographic image information, and can transmit the image information to the external central control platform in real time through the data interaction module.

[0011] Optionally, the incident imaging system is equipped with a Kohler illumination incident module and a distortion correction tube.

[0012] Optionally, the incident imaging system includes a binocular telescope, an electro-optical objective lens converter, a scanning camera, a preview camera, an illumination source, and a main body. The main body is connected to the electrically operated lifting structure. The binocular telescope is mounted on the upper end of the main body. The scanning camera is connected to the binocular telescope via an adapter. The electro-optical objective lens converter is mounted on the lower end of the main body and has multiple lenses of different magnifications mounted on it. The preview camera and the illumination source are both mounted in front of the main body via a bracket, with the preview camera positioned above the illumination source. The electro-optical objective lens converter, the scanning camera, the preview camera, and the illumination source are all communicatively connected to the control module.

[0013] Optionally, the electric stage includes an X-axis lead screw structure, a Y-axis lead screw structure, and a sample base. The Y-axis lead screw structure is mounted on the support frame, the X-axis lead screw structure is connected above the Y-axis lead screw structure and is perpendicular to the Y-axis lead screw structure, and the sample base is mounted above the X-axis lead screw structure. The sample base is provided with a sample positioning area.

[0014] The present invention provides an operating method for an efficient metallographic characterization device for metal additive materials, comprising the following operating steps: Step S1, Sample Pre-processing and Loading: Place multiple additive manufacturing metal blocks on a strip substrate to form a strip substrate sample, and place multiple strip substrate samples in the test storage area on the material storage platform according to the specifications. Step S2, Parameter Configuration and Command Issuance: Set specific detection parameters through an external central control platform or control module, including objective lens magnification, scanning area coordinates, number of shooting positions, image saving format and storage path; after receiving the parameter commands, the control module automatically parses the command content and accurately allocates the parameters to each functional module; Step S3, Automatic loading and unloading execution: The control module drives the robotic arm and electric gripper to work together. The electric gripper accurately grabs the strip substrate sample on the storage area to be tested. After confirming that the grip is firm, the robotic arm drives the strip substrate sample to perform multi-dimensional spatial movement, accurately transferring it to the sample positioning area of ​​the electric stage and placing it stably. Then the electric gripper releases, and the robotic arm returns to the initial standby position, waiting for the next gripping command. Step S4, Automated Metallographic Scanning: The electric stage is controlled to move in coordination via the X-axis and Y-axis lead screw structures. Combined with the image information acquired by the preview camera, the strip substrate sample on the sample positioning area is precisely aligned with the lower part of the objective lens and the positioning is completed. The scanning program is started, and the control module drives the electric lifting structure to adjust the height of the epi-image system to achieve precise focusing. Then the epi-image system starts scanning to acquire metallographic image information of the strip substrate sample. Step S5, Data Storage and Sample Recovery: After scanning, the electric stage, electric lifting structure, and epi-irradiation imaging system are automatically reset; the detection data is automatically stored in the designated path according to the preset naming rules, and the data content includes the sample number, detection parameters, metallographic image and scanning time; at the same time, the control module drives the robotic arm to start again, accurately transferring the measured strip substrate sample in the sample positioning area to the measured storage area of ​​the material temporary storage platform; Step S6, System Linkage and Data Feedback: The data interaction module collects the equipment operating status, sample testing progress and test results in real time, and synchronously feeds the relevant information back to the external central control platform, supporting the collaborative operation of multiple devices; Step S7, Continuous detection cycle: Repeat steps S3 to S6 until all strip substrate samples in the storage area to be tested are tested. The entire device will then automatically enter standby mode, waiting for the next batch of sample testing instructions.

[0015] Optionally, in step S4, the specific operation is as follows: Step S41, Preview Positioning: The preview camera is started, and a panoramic image of the strip substrate sample is acquired and transmitted to the control module. The control module automatically identifies the preset scanning area, or accurately locks the scanning range according to the coordinates set in step S2 to ensure that the scanning area is without deviation. Step S42, Autofocus: The X-axis lead screw structure, Y-axis lead screw structure and electric lifting structure work together to adjust the position of the strip substrate sample and the height of the incident imaging system based on the image information collected by the preview camera. Based on the contrast algorithm, the focal plane is accurately positioned to ensure that the metallographic image is clear and distinguishable. Step S43, Multi-magnification scanning imaging: According to the objective magnification set in step S2, the control module drives the electric objective converter to automatically switch to the corresponding magnification objective; the electric stage moves smoothly along the preset path, the scanning camera continuously acquires metallographic images of the strip substrate sample, and completes image stitching in real time to generate a complete metallographic image of the strip substrate sample. Step S44, Dark Field / Bright Field Switching: Based on actual testing needs, the control module automatically switches the illumination mode of the epi-irradiation imaging system to adapt to the metallographic characterization requirements of different metal additive materials.

[0016] Optionally, the detection parameters can be customized by the staff, and the focal density, number of scanning channels and image resolution can be flexibly adjusted according to the sample type and detection accuracy requirements. In step S5, the test data supports both local backup and network sharing. Staff can easily browse, annotate, zoom, and automatically generate test reports through the metallographic photo library interface.

[0017] This invention provides a high-efficiency metallographic characterization device for metal additive materials. Through the coordinated operation of a sample loading / unloading module, a metallographic scanning module, a control module, and a data interaction module, it achieves integrated automated operation of temporary storage, precise transfer, and metallographic scanning of strip-shaped substrate samples. This frees researchers from tedious and repetitive experimental operations, effectively solving the problems of cumbersome processes, high operational complexity, and low efficiency in traditional metallographic characterization. It significantly improves the metallographic characterization efficiency of large batches of small-sized metal samples, accelerating the development process of additive manufacturing metal materials. The various modules of the device are centrally managed through the control module. While the sample loading / unloading is precisely transferred, the metallographic scanning module stably acquires metallographic image information, effectively ensuring... This technology ensures the consistency and homogeneity of the collected data, addressing the shortcomings of poor consistency in traditional characterization data. The control module communicates in real time with the external central control platform through the data interaction module, enabling the real-time transmission of collected metallographic image information to the external central control platform. This achieves standardized and regulated data transmission and storage, allowing the output data to directly meet the core requirements of artificial intelligence modeling for data quality and format. It breaks the problem of insufficient coupling between existing metallographic characterization methods and data production devices, constructing an efficient and coherent data production chain. This provides reliable device support for the deep integration of artificial intelligence technology and additive manufacturing metal material research and development, further promoting the rapid iterative research and development and industrialization of additive manufacturing metal materials. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the connection between the sample loading / unloading module and the support frame of a high-efficiency metallographic characterization device for metal additive materials provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the connection between the metallographic scanning module and the support frame of a high-efficiency metallographic characterization device for metal additive materials provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the metallographic scanning module of a high-efficiency metallographic characterization device for metal additive materials provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the metallographic scanning module of a high-efficiency metallographic characterization device for metal additive materials provided in an embodiment of the present invention from another angle; Figure 5 This is a schematic diagram of the structure of a strip substrate sample for a high-efficiency metallographic characterization device for metal additive materials provided in an embodiment of the present invention; Figure 6 This is a metallographic panoramic image of IN718 alloy under a 10X objective lens in additive manufacturing.

[0020] In the diagram: 1. Sample loading / unloading module; 11. Robotic arm; 12. Electric gripper; 13. Material storage platform; 131. Storage area to be tested; 132. Storage area already tested. 2. Metallographic scanning module; 21. Motorized stage; 211. X-axis lead screw structure; 212. Y-axis lead screw structure; 213. Sample base; 22. Support base; 23. Motorized lifting structure; 24. Epi-irradiation imaging system; 241. Binocular lens tube; 242. Motorized objective lens converter; 243. Scanning camera; 244. Preview camera; 245. Illumination source; 246. Main body; 3. Support frame; 4. Strip substrate sample. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0022] In the description of this invention, it should be noted that, unless otherwise stated, "a plurality of" means two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," "tail," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0023] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Example 1: This invention provides an efficient metallographic characterization device for metal additive materials, including a sample loading and unloading module 1, a metallographic scanning module 2, a control module, a data interaction module, and a support frame 3. The sample loading and unloading module 1 and the metallographic scanning module 2 are both mounted on the support frame 3. The sample loading and unloading module 1 and the metallographic scanning module 2 are both communicatively connected to the control module. The control module is communicatively connected to an external central control platform through the data interaction module. The sample loading and unloading module 1 is used to temporarily store the strip substrate sample 4 and can accurately transfer the strip substrate sample 4 between the sample loading and unloading module 1 and the metallographic scanning module 2. Metallographic scanning module 2 is used to scan the strip substrate sample 4 and acquire metallographic image information. It can also transmit the acquired information to an external central control platform in real time via a data interaction module. This invention provides a high-efficiency metallographic characterization device for metal additive materials. Through the coordinated operation of sample loading / unloading module 1, metallographic scanning module 2, control module, and data interaction module, it achieves integrated automated operation of temporary storage, precise transfer, and metallographic scanning of the strip substrate sample 4. This frees researchers from tedious and repetitive experimental operations, effectively solving the problems of cumbersome processes, high operational complexity, and low efficiency in traditional metallographic characterization. It significantly improves the metallographic characterization efficiency of large batches of small-sized metal samples, accelerating the development process of additive manufacturing metal materials. The various modules of the device are centrally controlled through the control module. While the sample loading / unloading is precisely transferred, the metallographic scanning module 2 stably acquires metallographic image information, effectively… It ensures the consistency and homogeneity of the collected data, solving the shortcoming of poor consistency in traditional characterization data. The control module communicates in real time with the external central control platform through the data interaction module, which can transmit the collected metallographic image information to the external central control platform in real time, realizing the standardized and normalized transmission and storage of data. This enables the output data to directly meet the core requirements of artificial intelligence modeling for data quality and format, breaking the problem of insufficient coupling between existing metallographic characterization methods and data production devices. It has built an efficient and coherent data production chain, providing reliable device support for the deep integration of artificial intelligence technology and additive manufacturing metal material research and development, and further promoting the rapid iterative research and development and industrialization of additive manufacturing metal materials.

[0025] As an optional implementation, the sample loading / unloading module 1 includes a robotic arm 11, an electric gripper 12, and a material storage platform 13. Both the robotic arm 11 and the material storage platform 13 are mounted on the support frame 3. The electric gripper 12 is detachably connected to the robotic arm 11. Both the electric gripper 12 and the robotic arm 11 are communicatively connected to a control module. The control module controls the robotic arm 11 to perform multi-dimensional spatial movements and controls the electric gripper 12 to stably grip the strip-shaped substrate sample 4 on the material storage platform 13. This achieves automatic storage, automatic gripping, and automatic transfer of the strip-shaped substrate sample 4, ensuring the positioning accuracy and posture consistency of the strip-shaped substrate sample 4 during the transfer process.

[0026] As an optional implementation, the material storage platform 13 is provided with a test storage area 131 and a tested storage area 132. The strip substrate sample 4 to be tested is temporarily placed in the test storage area 131, and the tested strip substrate sample 4 is temporarily placed in the tested storage area 132. The test storage area 131 can hold at least four strip substrate samples 4 to be tested, and the tested storage area 132 can hold at least four tested strip substrate samples 4. This, combined with the robotic arm 11 and the electric gripper 12, enables batch, orderly, and continuous loading and unloading. It supports a one-to-one correspondence between samples and test data; the control module includes a scanning interface, a sample image library interface, and a settings interface, supporting adaptive adjustment and rapid optimization of image resolution, contrast, and brightness.

[0027] As an optional implementation, the metallographic scanning module 2 includes an electric stage 21, a support base 22, an electric lifting structure 23, and an epi-image system 24. The electric stage 21 and the support base 22 are both mounted on the carrier frame 3. The electric lifting structure 23 is connected to the support base 22, and the epi-image system 24 is connected to the electric lifting structure 23. The electric stage 21, the electric lifting structure 23, and the epi-image system 24 are all communicatively connected to the control module. The electric stage 21 has a displacement stroke of 180mm × 250mm, a minimum resolution ≤ 0.1μm, and a repeatability ≤ ±2μm. The electric lifting structure 23 has a displacement stroke ≥ 25mm, a minimum resolution ≤ 0.1μm, and a repeatability ≤ ±1μm, and is used for automatic focusing.

[0028] The electric stage 21 is used to support the strip substrate sample 4, and the control module can drive the electric stage 21 to move the strip substrate sample 4 on it in the horizontal direction; the control module can drive the electric lifting structure 23 to push the epi-image system 24 to move up and down in the vertical direction; the electric stage 21 moves the strip substrate sample 4 precisely in the horizontal direction and the electric lifting structure 23 pushes the epi-image system 24 to move up and down stably in the vertical direction, realizing the automatic and high-precision adjustment of the metallographic imaging position and focal length, eliminating the need for manual focusing and sample movement, effectively avoiding human operation errors, and improving the consistency and repeatability of metallographic image acquisition.

[0029] The incident imaging system 24 is used to automatically scan the strip substrate sample 4 on the electric stage 21 and acquire metallographic image information. It can also transmit the image information to the external central control platform in real time through the data interaction module, realize the rapid output and standardized transmission of image data, and enable the data format and quality to directly adapt to the needs of artificial intelligence modeling. This strengthens the strong coupling relationship between metallographic characterization and data production and intelligent modeling, and provides reliable data support for the intelligent research and development of metal additive materials.

[0030] As an optional implementation, the epi-illumination system 24 is equipped with a Kohler illumination epi-illumination module and a distortion-correcting lens. The epi-illumination system 24 is the core imaging module for achieving high-precision automated scanning in this device. It integrates high-quality optical components and intelligent control functions, ensuring clear, uniform, and efficient imaging. The epi-illumination system 24 uses a 150mm focal length distortion-correcting lens to effectively correct aberrations and ensure consistent image quality at the center and edges of the field of view. Equipped with a Kohler illumination epi-illumination module, it provides uniform and bright bright-field illumination, while effectively eliminating stray light interference in dark-field mode.

[0031] As an optional implementation, the incident imaging system 24 includes a binocular tube 241, an electric lifting lens converter 242, a scanning camera 243, a preview camera 244, an illumination source 245, and a main body 246. The main body 246 is connected to the electric lifting structure 23. The binocular tube 241 is mounted on the upper end of the main body 246 and has a 10x magnification function, facilitating direct observation and focusing by the human eye. The scanning camera 243 is connected to the binocular tube 241 via an adapter, and the electric lifting lens converter 242 is mounted on... At the lower end of the main body 246, the electric objective lens converter 242 is equipped with multiple objectives of different magnifications. The preview camera 244 and the illumination source 245 are both mounted in front of the main body 246 via brackets, with the preview camera 244 positioned above the illumination source 245. The electric objective lens converter 242, scanning camera 243, preview camera 244, and illumination source 245 are all communicatively connected to the control module. The illumination source 245 uses a software-adjustable, flicker-free LED with a maximum power of 30W and precise, flexible brightness control. The objectives include 5X, 10X, 20X, and 50X objectives. The electric objective lens converter 242 has five mounting holes for these objectives, respectively, to meet different needs from quickly finding high-magnification details from low magnification. Scanning camera 243 employs a 5-megapixel high frame rate scanning camera (>40fps, USB 3.0 interface) responsible for high-speed, high-resolution automated image acquisition; preview camera 244 employs a 5-megapixel preview camera (USB 2.0 interface) for real-time preview and assisted positioning. The entire system is based on microscope imaging principles, providing a stable and reliable optical imaging foundation for subsequent automated scanning, image stitching, and analysis.

[0032] As an optional implementation, the electric stage 21 includes an X-axis lead screw structure 211, a Y-axis lead screw structure 212, and a sample base 213. The Y-axis lead screw structure 212 is mounted on the support frame 3, and the X-axis lead screw structure 211 is connected above the Y-axis lead screw structure 212 and is perpendicular to the Y-axis lead screw structure 212. The sample base 213 is mounted above the X-axis lead screw structure 211. The X-axis lead screw structure 211, the Y-axis lead screw structure 212, and the electric lifting structure 23 are all equipped with high-precision lead screws, guide rails, and stepper motors. The X-axis lead screw structure 211 and the Y-axis lead screw structure 212 enable the sample base 213 to move with high precision and high stability in a horizontal two-dimensional plane. Combined with the precise vertical adjustment of the electric lifting structure 23, a three-axis high-precision positioning system is formed, which greatly improves the focusing accuracy and scanning position accuracy of metallographic imaging, and ensures the clarity and consistency of metallographic image acquisition.

[0033] The sample base 213 is provided with a sample positioning area, which can quickly and accurately position and reliably fix the strip substrate sample 4, avoiding the strip substrate sample 4 from shifting or shaking during movement and scanning, further ensuring the uniformity of imaging position, and improving the standardization and automation adaptability of the characterization process.

[0034] The control module includes an industrial computer and dedicated control software. The control software integrates a motion control unit, an imaging control unit, and a data management unit. It supports a Socket communication interface and can exchange commands and transmit data with an external central control platform via JSON format. The data interaction module supports the TCP / Modbus communication protocol, has open automation control and data acquisition interfaces, and can receive experimental parameter commands from the external central control platform and provide feedback on equipment status, test progress, and test results. The support frame 3 is used to fix each functional module, and the workbench has a load-bearing capacity of ≥150kg to meet the stability requirements of equipment operation.

[0035] Example 2: This invention provides an operating method for a high-efficiency metallographic characterization device for metal additive materials, comprising the following operating steps: Step S1, Sample Preprocessing and Loading: Place multiple additive manufacturing metal blocks on the strip substrate to form strip substrate sample 4. Place multiple strip substrate samples 4 in the test storage area 131 on the material temporary storage platform 13 according to the specifications, ensuring that the strip substrate samples 4 are placed neatly and without tilting, so as to avoid affecting subsequent gripping and scanning. Step S2, Parameter Configuration and Command Issuance: Set specific detection parameters through an external central control platform or control module, including objective lens magnification (5X / 10X / 20X / 50X), scanning area coordinates, number of shooting positions, image saving format (JPG / BMP), and storage path; after receiving the parameter commands, the control module automatically parses the command content and accurately allocates the parameters to each functional module to ensure that each module operates according to unified parameters; Step S3, Automatic loading and unloading execution: The control module drives the robotic arm 11 and the electric gripper 12 to work together. The electric gripper 12 accurately grabs the strip substrate sample 4 on the storage area 131 to be tested. After confirming that the grip is firm, the robotic arm 11 moves the strip substrate sample 4 in multi-dimensional space to accurately transfer it to the sample positioning area of ​​the electric stage 21 and place it stably. Then the electric gripper 12 releases, and the robotic arm 11 returns to the initial standby position, waiting for the next gripping command. The loading action takes about 20 seconds. Step S4, Automated Metallographic Scanning: The electric stage 21 is controlled to move in coordination via the X-axis lead screw structure 211 and the Y-axis lead screw structure 212. Combined with the image information acquired by the preview camera 244, the strip substrate sample 4 on the sample positioning area is precisely aligned with the lower part of the objective lens and the positioning is completed. The scanning program is started, and the control module drives the electric lifting structure 23 to adjust the height of the epi-image system 24 to achieve precise focusing. Then, the epi-image system 24 starts scanning and acquires the metallographic image information of the strip substrate sample 4. Step S5, Data Storage and Sample Recovery: After scanning, the electric stage 21, electric lifting structure 23, and epi-image system 24 automatically reset; the detection data is automatically stored in the designated path according to the preset naming rules, and the data content includes the sample number, detection parameters, metallographic image and scanning time; at the same time, the control module drives the robotic arm 11 to start again, accurately transferring the measured strip substrate sample 4 in the sample positioning area to the measured storage area 132 of the material temporary storage stage 13, completing the return of the strip substrate sample 4 to its position, and the time to complete the unloading action is about 20 seconds; Step S6, System Linkage and Data Feedback: The data interaction module collects the equipment operating status, sample testing progress and test results in real time, and synchronously feeds the relevant information back to the external central control platform. It supports the collaborative operation of multiple devices, which is convenient for staff to monitor and manage in real time. Step S7, Continuous detection cycle: Repeat steps S3 to S6 until all strip substrate samples 4 in the storage area 131 to be tested are tested. The device automatically cuts off the scanning, loading and unloading process and the whole device automatically enters standby mode, waiting for the next batch of sample testing instructions.

[0036] As an optional implementation, in step S4, the specific operation is as follows: Step S41, Preview Positioning: The preview camera 244 is started, and a panoramic image of the strip substrate sample 4 is acquired and transmitted to the control module. The control module automatically identifies the preset scanning area, or accurately locks the scanning range according to the coordinates set in step S2, to ensure that the scanning area is without deviation. Step S42, Autofocus: The X-axis lead screw structure 211, Y-axis lead screw structure 212 and electric lifting structure 23 coordinately move and adjust the position of the strip substrate sample 4 and the height of the incident imaging system 24 based on the image information collected by the preview camera 244. The focal plane is accurately positioned based on the contrast algorithm to ensure that the metallographic image is clear and distinguishable. Step S43, Multi-magnification Scanning Imaging: According to the objective magnification set in step S2, the control module drives the electric objective converter 242 to automatically switch to the corresponding magnification objective lens; the electric stage 21 moves smoothly along the preset path. The movement path of the electric stage 21 adopts the trajectory calculated by the partition scanning stitching algorithm. The scanning camera 243 continuously acquires metallographic images of the strip substrate sample 4 and completes image stitching in real time to generate a complete metallographic image of the strip substrate sample 4, improving scanning efficiency and image integrity; that is, during the process of controlling the X-axis lead screw structure 211 to move from right to left, it will drive the strip substrate sample 4 to move from right to left, so that each part of the strip substrate sample 4 enters the scanning range of the scanning camera 243 in sequence. Then the scanning camera 243 will scan and acquire images continuously in sequence, and finally stitch all the acquired metallographic images to generate a complete metallographic image of the strip substrate sample 4.

[0037] Step S44, Dark Field / Bright Field Switching: According to the actual detection requirements, the control module automatically switches the illumination mode (dark field / bright field) of the epi-irradiation imaging system 24 to adapt to the metallographic characterization requirements of different metal additive materials and ensure accurate and reliable detection results.

[0038] As an optional implementation method, the detection parameters can be customized by the staff. The focal density, number of scanning channels and image resolution can be flexibly adjusted according to the sample type and detection accuracy requirements to improve the applicability of the method. In step S5, the test data supports both local backup and network sharing. Staff can easily browse, annotate, zoom, and automatically generate test reports through the metallographic photo library interface, improving data processing efficiency.

[0039] The method of the present invention has the following beneficial effects: 1) The high-efficiency metallographic characterization device for metal additive manufacturing of the present invention is designed for additive manufacturing of metal materials. It can achieve high-efficiency metallographic characterization of about 40 samples in a single task, avoiding discrete manual testing procedures in traditional research and development. The scanning and capturing time of a complete metallographic image of a single sample is as low as about 1 minute, which is 10 times more efficient than traditional metallographic characterization methods and significantly shortens the experimental cycle.

[0040] 2) Full-process automation: Integrating sample loading and unloading with metallographic scanning, it achieves unmanned operation from sample loading to data output, significantly reducing labor costs, improving detection efficiency, significantly improving data production efficiency, and significantly reducing the experimental workload and data processing workload of researchers. 3) High-precision characterization: Through the coordination of the high-precision electric stage 21, electric lifting structure 23, robotic arm 11 and fall imaging system 24, positioning accuracy and imaging quality are ensured, data consistency is high, human intervention is greatly reduced, and data consistency and homogeneity are greatly improved, which can provide a high-quality data source for the research and development of new metallic materials. 4) Each functional module is designed independently, which facilitates maintenance and upgrades and reduces usage costs.

[0041] Example 3: High-efficiency metallographic characterization of additively manufactured IN718 high-temperature alloy (1) High-efficiency metallographic characterization of the additively manufactured IN718 high-temperature alloy sample strips (the size of a single block sample is 14mm×12mm×8mm); (2) Sample pretreatment: Place the ground and polished sample strip in the test storage area 131 of the material storage platform; (3) Parameter configuration: Set the detection parameters through the control module or external control platform: automatic mode, sample number, objective magnification 10X, focal density, scanning channel, and area separation; (4) Automatic loading and unloading: The robotic arm 11 grabs the sample strip to be tested in the storage area 131 and places it on the electric stage 21. The loading action takes about 20 seconds. (5) Automated scanning and imaging: The electric stage 21 sends the sample strip to the bottom of the preview camera 244, the preview camera 244 positions the scanning area, the electric lifting structure 23 automatically focuses, switches the 10X objective lens in the set order, the electric stage 21 moves to scan and preview, the scanning camera 243 collects images in sections and automatically stitches them together to form a complete metallographic image of a single sample. (6) Data storage and feedback: The metallographic image data captured is automatically stored locally. At the same time, the external central control platform receives real-time feedback on the equipment status and testing progress.

[0042] (7) Sample placement: After scanning, the robotic arm 11 grabs the sample strip and transfers it to the measured storage area 132. The entire detection process does not require manual intervention, and the time to complete the unloading action is about 20 seconds.

[0043] (8) Obtain a panoramic metallographic image of the additively manufactured IN718 alloy taken under a 10X objective lens, clearly showing the printed surface condition of the sample. A metallographic photograph of the surface of one sample is shown below. Figure 6As shown, the shooting time is approximately 63 seconds. Researchers can then randomly select target areas from the images according to actual requirements, greatly reducing the experimental time.

[0044] (9) Then repeat steps (4)-(7) until all sample strips on the storage area 131 to be tested are detected, and the device automatically enters standby mode.

[0045] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A high-efficiency metallographic characterization device for metal additive materials, characterized in that, It includes a sample loading and unloading module (1), a metallographic scanning module (2), a control module, a data interaction module, and a support frame (3), among which, The sample loading and unloading module (1) and the metallographic scanning module (2) are both installed on the support frame (3). The sample loading and unloading module (1) and the metallographic scanning module (2) are both connected to the control module. The control module is connected to the external central control platform through the data interaction module. The sample loading and unloading module (1) is used to temporarily store the strip substrate sample (4) and can accurately transfer the strip substrate sample (4) between the sample loading and unloading module (1) and the metallographic scanning module (2). The metallographic scanning module (2) is used to scan the strip substrate sample (4) and collect metallographic image information, and can transmit the collected information to the external central control platform in real time through the data interaction module.

2. The high-efficiency metallographic characterization device for metal additive materials according to claim 1, characterized in that, The sample loading and unloading module (1) includes a robotic arm (11), an electric gripper (12), and a material storage platform (13). The robotic arm (11) and the material storage platform (13) are both mounted on the carrier frame (3). The electric gripper (12) is detachably connected to the robotic arm (11). The electric gripper (12) and the robotic arm (11) are both connected to the control module. The control module is used to control the robotic arm (11) to perform multi-dimensional spatial movement and to control the electric gripper (12) to grab the strip substrate sample (4) on the material storage platform (13).

3. The high-efficiency metallographic characterization device for metal additive materials according to claim 2, characterized in that, The material storage platform (13) is provided with a storage area to be tested (131) and a storage area already tested (132). The strip substrate sample (4) to be tested is temporarily placed in the storage area to be tested (131), and the strip substrate sample (4) already tested is temporarily placed in the storage area already tested (132).

4. The high-efficiency metallographic characterization device for metal additive materials according to claim 1, characterized in that, The metallographic scanning module (2) includes an electric stage (21), a support base (22), an electric lifting structure (23), and an epi-image system (24). The electric stage (21) and the support base (22) are both mounted on the carrier frame (3). The electric lifting structure (23) is connected to the support base (22), and the epi-image system (24) is connected to the electric lifting structure (23). The electric stage (21), the electric lifting structure (23), and the epi-image system (24) are all communicatively connected to the control module. The electric stage (21) is used to carry the strip substrate sample (4), and the control module can drive the electric stage (21) to move the strip substrate sample (4) on it in the horizontal direction. The control module can drive the electric lifting structure (23) to push the fall imaging system (24) to move up and down in the vertical direction; The incident imaging system (24) is used to scan the strip substrate sample (4) on the electric stage (21) and acquire metallographic image information, and can transmit the image information to the external control platform in real time through the data interaction module.

5. The high-efficiency metallographic characterization device for metal additive materials according to claim 4, characterized in that, The incident imaging system (24) is equipped with a Kohler illumination incident module and a distortion correction tube.

6. The high-efficiency metallographic characterization device for metal additive materials according to claim 4, characterized in that, The incident imaging system (24) includes a binocular telescope tube (241), an electric lifting telescope converter (242), a scanning camera (243), a preview camera (244), an illumination source (245), and a main body (246). The main body (246) is connected to the electric lifting structure (23). The binocular telescope tube (241) is mounted on the upper end of the main body (246). The scanning camera (243) is connected to the binocular telescope tube (241) via an adapter. The electric lifting telescope converter (242) is mounted on... At the lower end of the main body (246), multiple objective lenses with different magnifications are mounted on the electro-optical microscope converter (242). The preview camera (244) and the illumination source (245) are both mounted in front of the main body (246) via brackets, with the preview camera (244) located above the illumination source (245). The electro-optical microscope converter (242), the scanning camera (243), the preview camera (244), and the illumination source (245) are all communicatively connected to the control module.

7. The high-efficiency metallographic characterization device for metal additive materials according to claim 4, characterized in that, The electric stage (21) includes an X-axis lead screw structure (211), a Y-axis lead screw structure (212), and a sample base (213). The Y-axis lead screw structure (212) is mounted on the support frame (3). The X-axis lead screw structure (211) is connected above the Y-axis lead screw structure (212) and is perpendicular to the Y-axis lead screw structure (212). The sample base (213) is mounted above the X-axis lead screw structure (211). The sample base (213) is provided with a sample positioning area.

8. A method of operating the high-efficiency metallographic characterization apparatus for metal additive materials according to any one of claims 1-7, characterized in that, The following steps are included: Step S1, Sample pretreatment and loading: Place multiple additive manufacturing metal blocks on a strip substrate to form a strip substrate sample (4), and place multiple strip substrate samples (4) in the test storage area (131) on the material storage platform (13) according to the specifications. Step S2, Parameter Configuration and Command Issuance: Set specific detection parameters through an external central control platform or control module, including objective lens magnification, scanning area coordinates, number of shooting positions, image saving format and storage path; after receiving the parameter commands, the control module automatically parses the command content and accurately allocates the parameters to each functional module; Step S3, Automatic loading and unloading execution: The control module drives the robotic arm (11) and the electric gripper (12) to work together. The electric gripper (12) accurately grabs the strip substrate sample (4) on the storage area to be tested (131). After confirming that the grip is firm, the robotic arm (11) drives the strip substrate sample (4) to perform multi-dimensional spatial movement, accurately transfers it to the sample positioning area of ​​the electric stage (21) and places it stably. Then the electric gripper (12) releases, and the robotic arm (11) resets to the initial standby position, waiting for the next gripping command. Step S4, Automated Metallographic Scanning: Control the electric stage (21) to move in coordination through the X-axis lead screw structure (211) and the Y-axis lead screw structure (212), and combine the image information collected by the preview camera (244) to accurately align the strip substrate sample (4) on the sample positioning area with the lower part of the objective lens and complete the positioning; start the scanning program, and the control module drives the electric lifting structure (23) to adjust the height of the epi-image system (24) to achieve accurate focusing. Then the epi-image system (24) starts scanning and collects the metallographic image information of the strip substrate sample (4); Step S5, Data Storage and Sample Recovery: After scanning, the electric stage (21), electric lifting structure (23), and epi-image system (24) are automatically reset; the detection data is automatically stored in the designated path according to the preset naming rules, and the data content includes the sample number, detection parameters, metallographic image and scanning time; at the same time, the control module drives the robotic arm (11) to start again, and accurately transfers the measured strip substrate sample (4) in the sample positioning area to the measured storage area (132) of the material storage platform (13). Step S6, System Linkage and Data Feedback: The data interaction module collects the equipment operating status, sample testing progress and test results in real time, and synchronously feeds the relevant information back to the external central control platform, supporting the collaborative operation of multiple devices; Step S7, Continuous detection cycle: Repeat steps S3 to S6 until all strip substrate samples (4) in the storage area (131) to be tested are detected. The entire device will automatically enter standby mode and wait for the next batch of sample detection instructions.

9. The operating method according to claim 8, characterized in that, In step S4, the specific operation is as follows: Step S41, Preview Positioning: The preview camera (244) is started, and a panoramic image of the strip substrate sample (4) is acquired and transmitted to the control module. The control module automatically identifies the preset scanning area, or accurately locks the scanning range according to the coordinates set in step S2, ensuring that the scanning area is without deviation. Step S42, Autofocus: The X-axis lead screw structure (211), Y-axis lead screw structure (212) and electric lifting structure (23) work together to move and adjust the position of the strip substrate sample (4) and the height of the incident imaging system (24) based on the image information collected by the preview camera (244). Based on the contrast algorithm, the focal plane is accurately positioned to ensure that the metallographic image is clear and distinguishable. Step S43, Multi-magnification scanning imaging: According to the objective magnification set in step S2, the control module drives the electric objective converter (242) to automatically switch to the corresponding magnification objective; the electric stage (21) moves smoothly along the preset path, the scanning camera (243) continuously acquires metallographic images of the strip substrate sample (4), and completes image stitching in real time to generate a complete metallographic image of the strip substrate sample (4); Step S44, Dark field and bright field switching: According to the actual detection requirements, the control module automatically switches the illumination mode of the epi-irradiation imaging system (24) to adapt to the metallographic characterization requirements of different metal additive materials.

10. The operating method according to claim 8, characterized in that, The detection parameters can be customized by staff, and the focal density, number of scanning channels and image resolution can be flexibly adjusted according to sample type and detection accuracy requirements. In step S5, the test data supports both local backup and network sharing. Staff can easily browse, annotate, zoom, and automatically generate test reports through the metallographic photo library interface.

Images