Preparation process of standard sample for calibration of rice panoramic quality analyzer based on additive manufacturing
By printing the rice resin model based on additive manufacturing, the problems of high preparation cost and short service life in the prior art are solved, the discrimination accuracy of the rice panoramic analyzer is improved, and economical and environmentally friendly sample preparation is achieved.
Patent Information
- Application Number
- CN202311466129.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-07
- Publication Date
- 2025-04-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The preparation of samples used for calibration of rice panoramic quality analyzers in the prior art has high cost and short service life, which leads to the time-consuming and laborious selection and synthesis of rice samples and inaccurate identification.
Using an additive manufacturing process, a three-dimensional rice model was established through SLA technology, a laser curing resin was used to print out the rice resin model, and secondary curing, polishing and polishing were performed, and the pass rate was finally detected through the rice panoramic quality analyzer.
It improves the discrimination accuracy of the rice panoramic analyzer, avoids the shortage of manual selection and synthesis of rice samples, reduces production costs, extends the service life of the samples, and takes into account both economic and environmental protection requirements.
Smart Images

Figure CN119804052A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of standard samples for calibration of a rice panoramic quality analyzer, and in particular to a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing. Background Art
[0002] The rice appearance quality detector is a professional instrument for automatically detecting rice and rice appearance quality indicators for grain quality detection. It is a good helper for relevant departments to carry out rice quality inspection and seed investigation and research. The instrument has high detection efficiency, high degree of automation, multi-parameter, batch automatic analysis, and small error. Therefore, in the fields of rice breeding, circulation, processing, storage and transportation, using rice appearance quality detectors instead of manual inspection can not only judge the quality of rice more objectively, accurately and quickly, but also effectively save detection time and improve the level of rice quality detection, which is of great significance to ensuring food security and promoting the prosperity and healthy development of the industry.
[0003] However, the preparation of calibration samples for rice quality analyzers is indeed very difficult. Generally, there are two mainstream methods: selection method and artificial synthesis. The prepared samples are placed in sealed bags or containers and stored in a light-proof, cool place. Rice samples used for calibration by the selection method, such as certified samples, are used within the validity period of the certificate, and uncertified samples are generally used for no more than half a year; rice samples used for artificial synthesis calibration are generally used for no more than 1 year, resulting in high sample production costs and short service life.
[0004] Therefore, it is necessary to provide a new standard sample preparation process for calibration of rice panoramic quality analyzer based on additive manufacturing to solve the above technical problems. Summary of the invention
[0005] The purpose of the present invention is to provide a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing, so as to solve the problem of the lack of standard samples for detection and calibration of a rice panoramic quality analyzer proposed in the above-mentioned background technology, improve the recognition accuracy of the rice panoramic analyzer, and avoid a series of problems such as manual selection and synthesis of rice samples, which are time-consuming and labor-intensive, inaccurate identification, and high uncontrollable factors.
[0006] To solve the above technical problems, the standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing provided by the present invention comprises: step 1: establishing a three-dimensional model of rice made of SLA technology resin material; step 2: configuring printing parameters for the three-dimensional model data of rice according to production needs; step 3: using a laser beam generated by a laser to offset the laser beam to a molding screen in a resin tank below with a laser galvanometer to solidify the resin; before printing starts, the laser point light source coincides with the lens of a laser power calibrator, and when calibrating the laser power printing, the laser point light source moves synchronously through the laser galvanometer according to the configured printing parameters (path), the software for configuring the printing parameters is Magics23.0 version, a process support component is added to the model overhang structure, and RSCON is the laser scanning path; a single After the first print is completed, the laser stops working, the screen is lowered by one layer according to the configured printing parameters (layer thickness), and the scraper moves to the opposite side on the Y axis rail, and this working process is repeated until the printing is completed; Step 4: Remove the bottom valve and process support part of the printed rice resin model; Step 5: Clean the residual resin on the surface of the rice model with alcohol; Step 6: Secondary cure of the rice resin model in the ultraviolet surface light source curing box; Step 7: After the rice resin model is cured, it is lightly polished and the residual part of the process support is removed to make the model reach the ideal state. For yellow rice, the process of ultraviolet surface light source irradiation can be used to change the color of the model; Step 8: Check the qualified rate of the rice resin model through the rice panoramic quality analyzer; Step 9: Use a dark sealed bottle to store the rice resin model for next use. The digital light processing is part of additive manufacturing (3D printing), and the rice model and the formed bottom valve and process support parts are produced. The laser beam formed by the laser is offset by the galvanometer to the forming screen in the resin tank below for printing. The hardware is Liantai Lita600-B. The process support removal is to provide support for the overhanging structure and the process parts that resist deformation of the model. The residual resin cleaning is to reduce the model size error and facilitate subsequent operations. The secondary curing of the surface light source is to completely cure the cured resin to improve the overall quality of the model and the hardness of the model. The grinding and polishing is to remove the residual bumps of the process support and print the step lines formed by the curing stack to make the model surface smoother. The color change of the process surface light source is to solve the production needs of yellow rice.
[0007] Preferably, the three-dimensional digital model is spherical or ellipsoidal.
[0008] Preferably, the detection standard substance is produced by additive manufacturing (3D printing).
[0009] Preferably, the yellow rice to be tested is solidified by a surface light source to break through the technical barriers.
[0010] Preferably, the rice model is unified into a spherical shape and an elliptical shape for standardization, and specific reference may be made to the 7 sample requirements;
[0011] Preferably, the SLA technology is called stereolithography technology.
[0012] Preferably, the initial calibration power of the SLA technology laser is 800W, and the power drops to about 500W during actual operation.
[0013] Preferably, the laser irradiation band formed by the SLA technology laser is 335nm.
[0014] Preferably, the removed bottom valve is to enable the rice model to be formed at the same height to reduce the deformation error of the rice model caused by the deformation of the forming screen.
[0015] Preferably, the removed process support provides support for the rice model overhanging structure to prevent the rice model from being deformed due to the heat generated by laser scanning.
[0016] Preferably, the alcohol cleaning uses alcohol with a concentration of 97%, which cleans and prevents the alcohol from damaging the resin model.
[0017] Preferably, the wavelength of the light used to change the color of the surface light source is 335nm. By timing the irradiation time and detecting with a colorimeter, when the requirement of yellow rice is met, the equipment can be edited for mass production.
[0018] Compared with the prior art, the invention has the following beneficial effects: the production method of the standard sample preparation process for calibration of the rice panoramic quality analyzer based on additive manufacturing can solve the problem of the lack of standard samples for calibration of the rice panoramic quality analyzer proposed in the above background technology, improve the recognition accuracy of the rice panoramic analyzer, and manually select and synthesize rice samples, which are time-consuming and labor-intensive, inaccurate in recognition, and have a high number of uncontrollable factors. And it takes into account the requirements of economy and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 A schematic flow chart of a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing according to the present invention;
[0020] Figure 2 A schematic diagram of a spherical rice model for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to the present invention;
[0021] Figure 3 A schematic diagram of an ellipsoidal rice model for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to the present invention;
[0022] Figure 4It is a schematic diagram of a spherical rice adding process support model for a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing of the present invention;
[0023] Figure 5 It is a schematic diagram of a quasi-elliptical circular rice adding process support model of a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing of the present invention;
[0024] Figure 6 The present invention is a schematic flow chart of the local SLA stereolithography production of a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing. DETAILED DESCRIPTION
[0025] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.
[0026] See also Figure 1 The present invention provides a technical solution: a standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing, comprising step 1: three-dimensional digital modeling; step 2: configuring printing parameters; step 3: digital light processing; step 4: removing process supports; step 5: cleaning residual resin; step 6: secondary curing of surface light source; step 7: grinding and polishing; step 8: qualified detection; step 9: sealed storage.
[0027] Step 1: Create a three-dimensional model of rice made of SLA resin material; for specific requirements, please refer to the seven requirements for testing the model effect mentioned above. Figure 2 Attached Figure 3 The model is rendered after the model is established; Step 2: The printing parameters of the rice 3D model data are configured according to production needs. The specific printing parameters are layer height, laser power, laser path, scraper running distance, printing speed, and estimated printing time; Step 3: The laser beam generated by the laser is offset to the molding screen in the resin tank below with a laser galvanometer to solidify the resin; Before printing starts, the laser point light source coincides with the laser calibrator lens. When calibrating the laser power printing, the laser point light source moves synchronously through the laser galvanometer according to the configuration printing parameters (path). After a single print is completed, the laser stops working, the screen is lowered by one layer according to the configuration printing parameters (layer thickness), and the scraper moves to the opposite side on the Y-axis track, and this working process is repeated until printing is completed;
[0028] Specifically, the scraper is used to ensure that the process support on the molding stencil in the resin tank and the topmost liquid surface of the current production surface of the model are flush with the resin tank to prevent the loss of raw materials from causing production accuracy. Figure 6 ;
[0029] Step 4: Remove the bottom valve and process support part of the printed rice resin model;
[0030] Step 5: Clean the residual resin on the surface of the rice model with alcohol;
[0031] Step 6: Use an ultraviolet light source curing box to secondary cure the rice resin model;
[0032] Step 7: After the rice resin model is cured, it is lightly polished to remove the remaining parts of the process support so that the model reaches the ideal state. For yellow rice, the color of the model can be changed by using the process of ultraviolet surface light source irradiation;
[0033] Step 8: Check the qualified rate of rice resin model through the rice panoramic quality analyzer;
[0034] Step 9: Use a dark sealed bottle to store the rice resin model for next use.
[0035] The software for three-dimensional digital modeling is 3D-MAX 2018 version, and the data modeling is spheroidal and ellipsoidal; the software for configuring printing parameters is Magics 23.0 version, which adds process support components to the overhanging structure of the model. RSCON is the laser scanning path, which controls the laser power, the descending distance of the molding screen, and the travel distance of the scraper. The digital light processing is part of additive manufacturing (3D printing), and the rice model and the formed bottom valve and process support components are produced; the laser beam formed by the laser is biased by the galvanometer to the molding screen in the resin tank below, and the specific printing hardware can be Liantai Lita600-B; the process support removal is a process component that provides support for the overhanging structure and resists deformation of the model, and the residual resin cleaning is to reduce the model size error and facilitate subsequent operations. The secondary curing of the surface light source is to completely cure the cured resin to improve the overall quality of the model and improve the hardness of the model. The grinding and polishing is to remove the residual convex points of the process support, print the step pattern formed by the cured stack, and make the model surface have a smoother appearance quality. The color change of the surface light source is to solve the production needs of yellow rice. The qualified rate is checked by the rice panoramic quality analyzer, and dark sealed bottles are used for storage for next use. The above is a standard sample preparation process for calibration of the rice panoramic quality analyzer based on additive manufacturing of the present invention.
[0036] For specific process support, the bottom valve must be added to ensure the model size and shape accuracy. Please refer to the attached Figure 4 Attached Figure 5 The dark gray is the solid rice model, and the dark blue is the process support. The bottom valve firmly connects the process support and the rice model to the forming mesh.
[0037] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A standard sample preparation process for calibration of a rice panoramic quality analyzer based on additive manufacturing, characterized in that: include: Step 1: Create a 3D model of rice using SLA resin material; The requirements for establishing 3D model data are as follows: Sample 1: sphere size: diameter 3.0-4.0mm; whiteness value: 50-60; density equivalent to rice: 1.4-1.8g / cm; whiteness accuracy: <3%; quantity 200; Sample 2: sphere size: diameter 3.0-4.0mm; whiteness value: 60-68; density equivalent to rice: 1.4-1.8g / cm; whiteness accuracy: <3%; quantity 200; Sample 3: sphere size: diameter 2.0mm; whiteness value: 50-68; density equivalent to rice: 1.4-1.8g / cm; diameter accuracy: ±0.04mm; quantity 300; Sample 4: sphere size: diameter 4.0mm; whiteness value: 50-68; density equivalent to rice: 1.4-1.8g / cm; diameter accuracy: <±0.04mm; quantity 300; Sample 5, chalky rice: ellipsoid size: diameter 2.0-4.0mm, length 4.0-7.0mm; chalky whiteness: >68; density equivalent to rice: 1.4-1.8g / cm; whiteness accuracy: <3%; quantity 500; Sample 6, normal rice: ellipsoid size: diameter 2.0-4.0mm, length 4.0-7.0mm: whiteness value: 50-68; density equivalent to rice: .4-1.8g / cm; whiteness accuracy: <3%; quantity: 3500 2. Standard substance 2: Sample 7, yellow rice ellipsoid size: diameter 2.0-4.0mm, length 4.0-7.0mm; chromaticity index b value 37 under Das illuminant 10° field of view; density: 1.4-1.8g / cm2, accuracy: <3%; Quantity:>1000; Step 2: Configure printing parameters for the rice 3D model data according to production needs; Step 3: Use the laser beam generated by the laser to offset the laser galvanometer to the molding screen in the resin tank below to solidify the resin; before printing begins, the laser point light source coincides with the laser power calibrator lens. When calibrating the laser power for printing, the laser point light source moves synchronously through the laser galvanometer according to the configured printing parameters (path). After a single print is completed, the laser stops working, the screen is lowered by one layer according to the configured printing parameters (layer thickness), and the scraper moves to the opposite side on the Y-axis track. Repeat this working process until printing is completed; Step 4: Remove the bottom valve and process support part of the printed rice resin model; Step 5: Clean the residual resin on the surface of the rice model with alcohol; Step 6: Use an ultraviolet light source curing box to secondary cure the rice resin model; Step 7: After the rice resin model is cured, it is lightly polished to remove the remaining parts of the process support so that the model reaches the ideal state. For yellow rice, the color of the model can be changed by using the process of ultraviolet surface light source irradiation; Step 8: Check the qualified rate of rice resin model through the rice panoramic quality analyzer; Step 9: Use a dark sealed bottle to store the rice resin model for next use.
2. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The three-dimensional digital model is spherical or ellipsoidal.
3. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The detection standard material is produced by additive manufacturing (3D printing).
4. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The yellow rice tested breaks through the technical barriers by solidifying with a surface light source.
5. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: For the sake of standardization, the rice model is unified into a spherical and elliptical shape. For details, please refer to the 7 sample requirements.
6. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The SLA technology is called stereolithography technology.
7. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The initial calibration power of the SLA technology laser is 800W, and the power drops to about 500W during actual operation.
8. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The laser irradiation band formed by the SLA technology laser is 335nm.
9. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The removed bottom valve is to enable the rice model to be formed at the same height to reduce the deformation error of the rice model caused by the deformation of the forming screen.
10. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The removed process support provides support for the rice model overhanging structure to prevent the rice model from being deformed due to the heat generated by laser scanning.
11. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The alcohol cleaning uses alcohol with a concentration of 97%, which cleans and prevents the alcohol from damaging the resin model.
12. The method for preparing a standard sample for calibration of a rice panoramic quality analyzer based on additive manufacturing according to claim 1, characterized in that: The wavelength of the light used to change the color of the surface light source is 335nm. By timing the irradiation time and detecting with a colorimeter, when the yellow rice grain requirement is met, the equipment can be edited for mass production.
Citation Information
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