False tooth blank detection device

Abstract

The invention discloses a false tooth blank detection device, and belongs to the technical field of false tooth automatic manufacturing. The device comprises a detection table and a blank translation support, and the shape detection device can obtain three-dimensional size data and shape defect data of a target blank on a shape detection station; the internal damage detection device can obtain internal damage defect data of the target blank on the internal damage detection station; and the main controller generates personalized machining parameters of the target blank according to the three-dimensional size data, the appearance defect data and the internal damage defect data of the target blank, and sends the personalized machining parameters to subsequent turning equipment to execute matched personalized machining parameters on the target blank. Full-automatic circulation is achieved through integrated station design, the qualified rate of false tooth finished products is increased by detecting machining parameter control, and the false tooth blank production line is suitable for large-scale high-precision production of false tooth blanks such as zirconia ceramics.

Description

Technical Field

[0001] This invention relates to a device for testing denture blanks, belonging to the field of automated manufacturing technology for denture materials. Background Technology

[0002] Dental prostheses (dentures) are medical devices used to repair dental defects. Common raw materials for dentures include zirconia ceramics. The quality of the raw materials directly determines the strength, precision, and lifespan of the final denture product.

[0003] Currently, the inspection of denture blanks still relies heavily on manual operations, including visual inspection and manual use during the transfer of multiple devices. This results in a long overall inspection process, with the inspection time for a single piece exceeding 3 minutes, which is difficult to meet the needs of large-scale production.

[0004] In particular, the current method of inspecting denture blanks involves multiple devices conducting separate inspections followed by manual data aggregation, which is prone to omissions in the inspection and errors in data processing. Furthermore, traditional processing parameters are set based on the nominal dimensions of the blanks, and existing defect detection only evaluates the target blank itself, i.e., passing if it is qualified and rejecting if it is not. This method does not take into account the adjustment of the processing method of the target blank based on the defect data of the target blank itself. In other words, the relationship between the inspection data and subsequent processing parameters is disconnected, which hinders the automation of the entire process of denture blank inspection and processing. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a denture blank inspection device.

[0006] According to an embodiment of the present invention, a first embodiment is provided as: a denture blank testing device, comprising: The testing station is equipped with an external inspection station and an internal damage detection station. The billet translation support includes a slide rail horizontally set on the inspection table and a clamping device that can move horizontally along the slide rail. The clamping device is used to fix the target billet and the clamping device passes the fixed target billet through the shape inspection station and the internal damage detection station. The shape inspection device is set at the shape inspection station. The shape inspection device can acquire the three-dimensional dimension data and shape defect data of the target blank at the shape inspection station. An internal damage detection device is installed at the internal damage detection station. The internal damage detection device can acquire internal damage defect data of the target billet at the internal damage detection station. The main controller generates personalized processing parameters for the target blank based on its three-dimensional dimensions, external defects, and internal defects, and sends these personalized processing parameters to the subsequent turning equipment to perform matching personalized processing on the target blank.

[0007] Furthermore, the target blank is in the shape of a disc-shaped cylinder, which includes a circular upper surface and a circular lower surface.

[0008] Furthermore, the testing platform is equipped with a shape inspection station A, a shape inspection station B, an internal damage detection station A, and an internal damage detection station B, and the four stations are arranged on the testing platform in any combination.

[0009] Furthermore, the clamping device includes a drive motor, a first drive rod disposed on both sides of the drive motor, a first clamping arm, a second drive rod, and a second clamping arm. The drive motor drives the first clamping arm and / or the second clamping arm to move relatively closer to each other to clamp the target blank, and the drive motor drives the first clamping arm and / or the second clamping arm to move relatively away from each other to release the target blank. The first clamping arm and the second clamping arm are symmetrically provided with a first blank clamping jaw and a second blank clamping jaw. When the first blank clamping jaw and the second blank clamping jaw move relatively closer to each other, they clamp the side surface of the target blank.

[0010] Furthermore, the shape detection device includes a first detection device and a second detection device. The first detection device is matched with shape detection station A, and the second detection device is matched with shape detection station B. The first detection device includes a first industrial camera and a first laser profilometer, and the second detection device includes a second industrial camera and a second laser profilometer.

[0011] Furthermore, the first detection device is set above the shape detection station A and acquires the upper surface defect data and the first three-dimensional dimension data of the target billet. The second detection device is set below the shape detection station B and acquires the lower surface defect data and the second three-dimensional dimension data of the target billet. The three-dimensional dimension data of the target billet is calculated by using the first three-dimensional dimension data and the second three-dimensional dimension data.

[0012] Furthermore, the internal injury detection device includes a first high-frequency ultrasonic flaw detection probe and a second high-frequency ultrasonic flaw detection probe. The first high-frequency ultrasonic flaw detection probe is matched with internal injury detection station A, and the second high-frequency ultrasonic flaw detection probe is matched with internal injury detection station B.

[0013] Furthermore, the first high-frequency ultrasonic flaw detection probe is set below the internal flaw detection station A and acquires internal flaw defect data on the lower surface of the target billet, while the second high-frequency ultrasonic flaw detection probe is set above the internal flaw detection station B and acquires internal flaw defect data on the upper surface of the target billet.

[0014] Furthermore, the internal defect detection device includes a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic flaw detection probe. The third high-frequency ultrasonic vibration probe is matched with internal defect detection station A, and the fourth high-frequency ultrasonic flaw detection probe is matched with internal defect detection station B. The arrangement of the four stations is internal defect detection station A, external shape inspection station A, external shape inspection station B, and internal defect detection station B. The third high-frequency ultrasonic vibration probe contacts the target billet and excites the hidden defects of the target billet through ultrasonic vibration. The fourth high-frequency ultrasonic flaw detection probe scans the surface defect area of ​​the target billet in a Z-shaped path and obtains the internal defect data of the target billet. The surface defect area is obtained by the external shape inspection device.

[0015] Furthermore, the internal defect detection device includes a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic flaw detection probe. The third high-frequency ultrasonic vibration probe is matched with internal defect detection station A, and the fourth high-frequency ultrasonic flaw detection probe is matched with internal defect detection station B. The arrangement order of the four stations is: shape inspection station A, shape inspection station B, internal defect detection station A, and internal defect detection station B. The third high-frequency ultrasonic vibration probe contacts the target billet and excites the hidden defects of the target billet through ultrasonic vibration. The fourth high-frequency ultrasonic flaw detection probe is triggered and acquires the internal defect data of the target billet within the first threshold between the end of ultrasonic vibration excitation.

[0016] Compared with the prior art, the beneficial effects of the independent claims of the technical solution provided in this application are as follows: By integrating the external shape inspection device and the internal defect detection device into a single machine, a collaborative inspection system for external shape inspection and internal defect detection is formed. Simultaneously, an automatic transfer mechanism for the target blank between the external shape inspection station and the internal defect detection station is achieved through a blank translation support. Notably, the reference surface remains unchanged throughout the entire transfer process, avoiding error accumulation and eliminating multiple manual loading and positioning steps, significantly reducing the inspection time for a single blank. The collaborative operation of external shape inspection and internal defect detection ensures high data completeness, eliminating errors from manual data processing. The main controller dynamically adjusts the processing parameters of each target blank based on multi-source inspection data, such as adjusting the cutting depth, ensuring targeted elimination of defect areas in the processing zone. This significantly improves the pass rate and material utilization rate of the finished denture. The main controller directly sends personalized processing parameters to the turning equipment, enabling personalized implementation of the turning process and further reducing processing time.

[0017] The testing device in this technical solution effectively solves the problems of low efficiency, insufficient processing accuracy, and easy omissions in traditional testing by integrating testing and parameter generation design, providing technical support for the testing process in the large-scale high-precision production of dentures. 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] in: Figure 1 This is a schematic diagram of the structure of a denture blank testing device in one embodiment; Figure 2 This is a schematic diagram of the clamping device of the billet translation bracket in one embodiment; Figure 3 This is a schematic diagram of the external shape of the target blank in one embodiment; Figure 4 This is a schematic diagram of the shape of the finished blank after turning.

[0020] Figure label: 001 - Target billet; 0011 - Top surface; 0012 - Bottom surface; 0013 - Side surface; 11-First detection device; 12-Second detection device; 13-First movable support; 14-Second movable support; 21-First high-frequency ultrasonic flaw detection probe; 22-Second high-frequency ultrasonic flaw detection probe; 31-Side industrial camera; 41-Clamping device; 42-Slide rail; 440 - Drive motor; 411 - First clamping arm; 412 - First blank clamping jaw; 421 - Second clamping arm; 422 - Second blank clamping jaw; 441 - First drive rod; 442 - Second drive rod. Detailed Implementation

[0021] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] Example 1 In the field of automated denture manufacturing, the inspection of denture blanks is a crucial step in determining the final product quality and overall production efficiency. Existing denture inspection devices and processes suffer from the following pain points, leading to low yield rates, long production cycles, and significant material waste. Specifically, traditional blank inspection relies heavily on manual handling of the blanks between optical inspection tables and ultrasonic flaw detectors, involving at least three clamping operations. This results in inconsistent blank positioning benchmarks due to multiple changes, and accumulated coordinate deviations across multiple workstations leading to defect location error rates exceeding 10%. Furthermore, the handling time accounts for more than half of the inspection time, failing to meet the 1-minute / piece cycle time requirement of automated production. Secondly, external inspection data, such as surface cracks and dimensional deficiencies, is stored in separate systems from internal flaw detection data, such as internal impact damage, internal cavities, and internal impurities. This requires manual aggregation to determine blank usability, resulting in a broken data link between inspection and subsequent turning processes. This prevents the establishment of a correlation between surface defects and internal flaw detection, leading to low efficiency and a high false alarm rate in internal flaw detection. Secondly, the main function of the inspection process is to perform quality checks on the appearance and internal structure of the materials; those that pass are accepted, and those that fail are returned. Its potential for customized processing in subsequent turning processes has not been recognized or fully utilized. To solve the above technical problems, this embodiment specifically provides an inspection device for denture blanks, such as... Figure 1 As shown, this testing device is an integrated, multi-dimensional testing device. Through the synergy of a redesigned mechanical structure and testing process, it achieves integrated testing of external appearance and internal flaw detection, as well as real-time generation of subsequent turning process parameters. This not only improves the quality of denture testing but also enhances the personalized matching of subsequent processing techniques for the tested denture blanks.

[0023] In this embodiment, the object being processed is the target blank 001 for the denture, such as... Figure 3 The image shows a material with a common shape, such as... Figure 4 The image shows a common shape for a finished product blank. In this embodiment, the target blank 001 is a disc-shaped cylinder with a diameter of 98mm ± 0.5mm and a height of 15mm ± 0.2mm.

[0024] This embodiment provides a device for testing denture blanks, such as... Figure 1 As shown, it includes: The testing station is equipped with an external inspection station and an internal damage detection station. Specifically, the inspection table uses a metal or stone tabletop. A mounting groove for a slide rail 42 is integrated into the tabletop, through which the slide rail 42 of the billet translation support is fixed. Multiple openings are provided on the tabletop for the external shape inspection device and the internal damage detection device to inspect the lower surface 0012 of the target billet 001. The tabletop also features cable management channels.

[0025] The inspection line of the inspection station includes external appearance inspection stations and internal defect detection stations. Examples include external appearance inspection station A, external appearance inspection station B, internal defect detection station A, and internal defect detection station B. Common station layouts include: External appearance inspection station A → External appearance inspection station B → Internal damage detection station A → Internal damage detection station B; Alternatively, the sequence is: Internal damage detection station A → External appearance inspection station A → External appearance inspection station B → Internal damage detection station B.

[0026] The billet translation support includes a slide rail 42 horizontally set on the inspection table and a clamping device 41 that can move horizontally along the slide rail 42. The clamping device 41 is used to fix the target billet 001. The clamping device 41 passes the fixed target billet 001 through the external shape inspection station and the internal damage detection station. Specifically, the slide rail 42 adopts a high-precision linear module with a stroke that matches the length of the inspection table. For example, the stroke is 800-1500mm and the repeatability is ±0.005mm. The clamping device 41 is driven to move by a servo motor with a maximum speed of 500mm / s, so that the switching time between adjacent workstations is less than 0.5 seconds.

[0027] Specifically, the clamping device 41 is a side-grip structure, such as... Figure 2 As shown, the device includes a drive motor 440, a first drive rod 441, a first clamping arm 411, a second drive rod 442, and a second clamping arm 421 disposed on both sides of the drive motor 440. The drive motor 440 drives the first clamping arm 411 and / or the second clamping arm 421 to move closer together to clamp the target blank 001, and the drive motor 440 drives the first clamping arm 411 and / or the second clamping arm 421 to move further apart to release the target blank 001. The first clamping arm 411 and the second clamping arm 421 are symmetrically provided with a first blank clamping claw 412 and a second blank clamping claw 422. When the first blank clamping claw 412 and the second blank clamping claw 422 move closer together, they clamp the side surface 0013 of the target blank 001. The clamping device 41 clamps and fixes the side surface 0013 of the target blank 001 that falls on the clamping base, and maintains a consistent reference when passing through the shape inspection station and the internal defect detection station to avoid the accumulation of station coordinate deviations.

[0028] The shape inspection device is set at the shape inspection station. The shape inspection device can acquire the three-dimensional dimension data and shape defect data of the target blank 001 at the shape inspection station. An internal damage detection device is installed at the internal damage detection station. The internal damage detection device can acquire the internal damage defect data of the target billet 001 at the internal damage detection station. Specifically, the shape inspection device can be configured as a first inspection device 11 and a second inspection device 12, which respectively inspect the upper surface 0011 and lower surface 0012 of the target blank 001 through two stations: the first inspection device 11 is set above the first shape inspection station, including a 20-megapixel industrial camera and a first laser profilometer. The scanning frequency of the first laser profilometer is 10kHz and the accuracy is ±0.005mm. The industrial camera is equipped with a ring shadowless light source and a first moving bracket 13 to take at least three multi-angle shots of the upper surface 0011 of the target blank 001, such as 0°, 45° and 90°. The first laser profilometer scans radially to obtain the upper surface diameter, blank thickness and blank edge contour data of the target blank 001. The second inspection device 12 is located below the second shape inspection station. The corresponding inspection table has an opening. The second inspection device 12 and the first inspection device 11 are arranged symmetrically from top to bottom. They use the same camera and profilometer. The camera is also equipped with a ring shadowless lamp and a second moving support 14. The cameras of the first inspection device 11 and the second inspection device 12 respectively acquire surface defects on the upper surface 0011 and the lower surface 0012, including pits, scratches, cracks, etc. The first inspection device 11 and the second inspection device 12 transmit the shape defect data to the edge computing module in real time via Ethernet. The three-dimensional size data of the blank and the distribution map of the upper surface defects are generated by the image stitching algorithm. The smallest defect size identified is 50μm.

[0029] If necessary, a side industrial camera 31 is set in the direction of the side surface 0013 of the target blank 001 to identify and detect surface defects on the side surface 0013.

[0030] Specifically, the internal defect detection device includes a first high-frequency ultrasonic flaw detector 21 and a second high-frequency ultrasonic flaw detector 22. These two stations detect internal defects on the upper and lower surfaces of the target billet 001, respectively. The first high-frequency ultrasonic flaw detector 21 is positioned below the first internal defect detection station, with a window on the corresponding testing platform. The first high-frequency ultrasonic flaw detector 21 uses a 5MHz probe, employs water film coupling, a Z-shaped scanning path, a step distance of 0.05mm, a scanning speed of 10mm / s, and a detection depth of 0-30mm, typically covering the entire thickness of the target billet 001. The minimum diameter of the pore crack it can identify is 0.1mm. The second high-frequency ultrasonic flaw detector 22 is identical to the first high-frequency ultrasonic flaw detector 21, acquiring internal defect data for the lower surface 0012 and the upper surface 0011, including pit depth, crack depth, and impurity distribution.

[0031] The main controller generates personalized machining parameters for the target blank 001 based on its three-dimensional dimensional data, external defect data, and internal defect data. It then sends these personalized machining parameters to the subsequent turning equipment to perform the matching personalized machining on the target blank 001.

[0032] This denture blank inspection device also integrates a data transmission module. This module uses the industrial Ethernet protocol to package external defect data, including dimensional deviations and surface defect coordinates, with internal defect data, including porosity location and crack depth, into a JSON file and transmit it to the main controller at a transmission rate of 100Mbps. The main controller is based on a PLC and has a built-in defect machining parameter mapping algorithm. It dynamically specifies the turning parameters for the target blank 001 based on its defect data. For example, if a 0.05mm deep crack exists on the upper surface 0011 of the target blank 001, the cutting depth is increased by 0.05mm to avoid the defect.

[0033] This technology integrates external shape inspection and internal defect detection into a single device, enabling collaborative inspection of both. Simultaneously, a blank translation support facilitates the automatic transfer of the target blank 001 between the external shape inspection and internal defect detection stations. Notably, the reference surface remains unchanged throughout the transfer process, preventing error accumulation and eliminating multiple manual loading and positioning steps, significantly reducing the inspection time for a single blank. The collaborative operation of external shape inspection and internal defect detection ensures high data completeness, eliminating errors from manual data processing. The main controller dynamically adjusts the processing parameters of each target blank 001 based on multi-source inspection data, such as adjusting the cutting depth, ensuring targeted elimination of defect areas in the processing zone. This significantly improves the pass rate and material utilization of the finished dentures. The main controller directly sends personalized processing parameters to the turning equipment, enabling personalized turning processes and further reducing processing time. This technical solution's inspection device, through its integrated inspection and parameter generation design, effectively solves the problems of low efficiency, insufficient processing accuracy, and easy omissions in traditional inspection methods, providing technical support for the large-scale, high-precision production of dentures.

[0034] Example 2 This embodiment explains in detail how to calculate the three-dimensional dimensional data of the target blank 001.

[0035] The system in this embodiment consists of: a first detection device 11, including a first laser profilometer, and the first detection device 11 also integrates an image processing unit at the shape detection station A; a second detection device 12, including a second laser profilometer and an image processing unit at the shape detection station B; and a data fusion module (embedded processor, such as using the ARM Cortex series).

[0036] At the shape inspection station A, the first laser profilometer uses a line laser with a wavelength of 650nm, a scanning frequency of 10kHz, a resolution of 5μm, and a measurement range of 0-100mm. The scanning starting point of the first laser profilometer is the center point of the target blank 001, and the scanning radius increases from 0mm to the maximum radius of the target blank 001 + 2mm. The pitch is set to 0.1mm to ensure a point cloud density ≥ 100 points / mm. 2 The synchronously acquired radial profile data is transmitted to the control unit buffer via Ethernet.

[0037] After performing least squares circle fitting on the collected point cloud data, outliers are removed and the upper surface diameter D1 is output. Extract the maximum and minimum Z-axis coordinates within the scanned area, and calculate the flatness error P1 = Zmax - Zmin, in mm; Generate a 3D point cloud file in STL format and a JSON file containing key parameters for the upper surface 0011.

[0038] Similarly, the second detection device 12 is executed and outputs the three-dimensional point cloud STL format file of the lower surface diameter D2, flatness error P2, and lower surface 0012, as well as the key parameter JSON format file.

[0039] The three-dimensional dimensional data is fused and calculated using the data fusion module of the main controller. Taking the center coordinate system of the target billet 001 as the reference, the upper surface point cloud and the lower surface point cloud are rigidly registered using the iterative nearest point algorithm to eliminate alignment errors.

[0040] The average diameter is D_avg = (D1 + D2) / 2; Thickness calculation: In the aligned point cloud, take 100 corresponding points along the Z-axis and calculate the thickness H_i=|Z_upper,i - Z_lower,i|, and take the average value H_avg = (ΣH_i) / 100; Overall flatness: The maximum value of P1 and P2 is taken as the overall flatness P_max of the billet.

[0041] This embodiment also explains in detail how to calculate shape defect data.

[0042] The system composition of this embodiment is as follows: the first detection device 11 includes a first industrial camera and a ring light source, the second detection device 12 includes a second industrial camera and a ring light source; it also includes a data fusion module (embedded processor, such as using ARM Cortex series).

[0043] A ring light source illuminates the upper surface 0011 of the target blank 001 at a 30° incident angle. The first industrial camera, with an exposure time of 8ms, captures three images consecutively, which are then transmitted to the image processing unit via an interface. The second industrial camera performs the same operation. The acquired images are preprocessed, for example, using Gaussian filtering to remove noise from the image sensor. A contrast enhancement algorithm can also be used to enhance the grayscale difference between the defect area and the background.

[0044] The defect identification and localization algorithm mainly includes: extracting image edges using the Canny algorithm, where the algorithm threshold is 50-150, and retaining areas with drastic gradient changes to identify possible edge defects.

[0045] The OTSU adaptive thresholding method binarizes the image, marking defective areas as foreground and background as 0.

[0046] The neighborhood connectivity labeling algorithm filters out various minor disturbances, such as dust.

[0047] A polar coordinate system is established with the center of the target blank 001 as the origin. The coordinates (r, θ) of the defect center are calculated by the pixel physical size calibration method and converted into rectangular coordinates (X, Y).

[0048] Specifically, in this embodiment, the origin of the coordinate system is the geometric center of the target blank 001 at the detection station, the X-axis is the translation direction of the target blank 001, or the production line direction of the detection device, the Y-axis is the width direction of the detection table, and the Z-axis is the vertical direction of the detection table surface.

[0049] The definition of defect parameters includes: defect type, based on shape features, including cracks (length-to-diameter ratio > 5), pits (circularity > 0.8), and scratches (length-to-diameter ratio 3-5); defect size, using the minimum bounding rectangle method: length L = max (major axis of the bounding rectangle), width W = min (minor axis of the bounding rectangle); and defect depth, combined with laser profilometer data: the difference between the minimum Z-axis value of the defect area and the average Z-axis value of the surrounding normal area (ΔZ = Znormal - ZDefect).

[0050] Finally, the data is output as JSON structured data.

[0051] This embodiment also explains in detail how to calculate internal injury defect data.

[0052] The system components of this embodiment include: a first high-frequency ultrasonic flaw detector 21 on internal flaw detection station A, and a second high-frequency ultrasonic flaw detector 22 on internal flaw detection station B. When the target billet 001 is placed on the internal flaw detection station, a coupling agent, such as a water film with a thickness of 0.1 mm, is injected into the surface to be inspected on the target billet 001. The probe emits a calibration pulse, receives the bottom surface echo signal, and acquires the original waveform data.

[0053] The ultrasonic signal processing unit of the main controller identifies defects. For example, the amplitude threshold and time threshold are set by the dual threshold method. Signals exceeding the threshold are judged as defect echoes. For example, the echo time of the bottom surface of a normal billet is t0=3.2μs. If an echo with an amplitude exceeding the threshold appears at t=2.8μs, it is judged as an internal defect reflection.

[0054] The method for calculating defect depth is: Depth H = (t0) / (t0) t d ) × C / 2, where t d t0 = defect echo time, t0 = normal blank bottom echo time, C = 5900m / s is the sound velocity of the ceramic blank.

[0055] The area S is calculated by counting the number of consecutive points of the defect echo along the scanning path: S = number of points × step size 2 For example, when the step size is 0.1 mm, S = 0.01. 2 / point.

[0056] Defect types are determined based on echo spectrum characteristics. For example, a main peak width greater than 5MHz is identified as a crack.

[0057] This embodiment also explains in detail how to generate personalized processing parameters.

[0058] For example, the workstation layout is: external appearance inspection workstation A → external appearance inspection workstation B → internal damage detection workstation A → internal damage detection workstation B; The basic cutting parameters are calculated based on the three-dimensional dimensional data of the target blank 001 and the design dimensions of the finished blank. Based on the shape defect data, defects are eliminated by locally deepening the cut. Within the edge annular region, machining path offset cutting parameters are set. For internal cracks, porosity, and other defects, machining exclusion zones are defined. Within these zones, only finishing is permitted, and the cutting force is reduced by 50% to prevent defect propagation.

[0059] By quantifying three-dimensional dimensions and external / internal defect data into processing parameters, a combined processing method of detection and processing is achieved, which takes into account both surface quality and internal structural safety. The final output parameters conform to the G-code standard and can be directly imported into turning equipment without secondary conversion, realizing the intelligent upgrade of denture blanks from passive detection to active processing adaptation.

[0060] Example 3 This embodiment specifically proposes an internal injury detection device.

[0061] The causes of defects in denture blanks include unavoidable defects generated during the previous processing and manufacturing process, as well as bumps and knocks caused by various uncontrollable factors during the transportation from the previous process to this denture processing system. Some bumps and knocks are visible and can be directly identified by the camera of the detection device. However, some structural damages are not visible by the camera and can only be identified by a full scan using an internal damage ejection device. Therefore, in the previous embodiment, in order to increase the detection efficiency of the internal damage detection station, a full-path scan is not adopted. Only the surface defect areas identified by the shape detection device are detected. While this greatly reduces the advantage of invalid scanning time, there is a problem of missing some hidden structural damages.

[0062] To address the aforementioned technical problems, this embodiment proposes a testing device for denture blanks, including an internal damage detection device, which comprises a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic flaw detection probe.

[0063] The third high-frequency ultrasonic vibration probe uses a customized miniature focusing probe with continuous sinusoidal vibration. Through high-frequency micro-vibration, it excites the existing internal damage area and causes the hidden damage caused by impact to disperse, the closed crack to expand, and the stress at the boundary of the hidden pore to be released, thus providing a basis for improving the recognition of subsequent ultrasonic flaw detection probes.

[0064] In this embodiment, the detection station can be adjusted to: a first internal injury detection station (equipped with a third high-frequency ultrasonic vibration probe), a first external shape detection station (equipped with a first detection device 11), a second external shape detection station (equipped with a second detection device 12), and a second internal injury detection station (equipped with a fourth high-frequency ultrasonic flaw detector).

[0065] The fourth high-frequency ultrasonic flaw detector probe performs flaw detection on the surface defect area obtained from the shape defect data. It scans in the designated area through a zigzag path with a lateral step of 0.05 mm and a longitudinal step of 0.1 mm, using a water film coupling method.

[0066] Furthermore, the third high-frequency ultrasonic vibration probe adopts flexible contact with the target billet 001 to achieve real-time adjustment of contact pressure and amplitude, ensuring sufficient vibration to excite defects while avoiding excessive pressure that could cause surface indentations on the target billet 001.

[0067] In a preferred embodiment, a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic flaw detection probe can be integrated into one station to detect internal defects in the target billet 001. A synchronous triggering system initiates the flaw detection scan within 0.2 seconds after the vibration ends, ensuring the stability of the defect state and preventing the defect from recovering due to excessive time. Specifically, clock synchronization of the two probes is achieved through an FPGA, ensuring the timing coordination between vibration excitation and flaw detection scanning, and avoiding signal interference during vibration.

[0068] Finally, the flaw detection data is synchronized to the main controller via the data transmission module, and overlaid with the missing shape data for analysis to generate turning data containing the correlation between surface defects and internal extensions, which is then sent to the subsequent turning equipment for execution.

[0069] Tests on 100 blanks containing negative defects showed that, after vibration excitation, the detection rate of hidden defects by the flaw detection probe increased from about 50% to over 90%.

[0070] By using non-destructive high-frequency micro-vibration, closed cracks and hidden pores are transformed into detectable defects, solving the signal identification problem of traditional ultrasonic flaw detection. An array-type excitation point design replaces full-area vibration, combined with Z-shaped precise scanning, achieving full coverage identification of hidden defects with only a small increase in detection time. Furthermore, adaptive force feedback and micro-amplitude control ensure the structural integrity of the blank during vibration excitation, meeting the material characteristics requirements for denture processing.

[0071] Specifically, the technical problem with this implementation scheme is that the signal of hidden defects is weak, resulting in a low detection rate, and the correlation between surface defects and internal defects is poor, resulting in low full-area scanning efficiency.

[0072] The internal defect detection device includes a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic flaw detection probe. The third high-frequency ultrasonic vibration probe is matched with internal defect detection station A, and the fourth high-frequency ultrasonic flaw detection probe is matched with internal defect detection station B. The arrangement of the four stations is internal defect detection station A, shape inspection station A, shape inspection station B, and internal defect detection station B. The third high-frequency ultrasonic vibration probe contacts the target billet 001 and excites the hidden defects of the target billet 001 through ultrasonic vibration. The fourth high-frequency ultrasonic flaw detection probe scans the surface defect area of ​​the target billet 001 in a Z-shaped path and obtains the internal defect data of the target billet 001. The surface defect area is obtained by the shape inspection device.

[0073] This solution significantly improves the detection rate of hidden defects.

[0074] Specifically, the internal defect detection device includes a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic flaw detection probe. The third high-frequency ultrasonic vibration probe is matched with internal defect detection station A, and the fourth high-frequency ultrasonic flaw detection probe is matched with internal defect detection station B. The arrangement of the four stations is as follows: shape inspection station A, shape inspection station B, internal defect detection station A, and internal defect detection station B. The third high-frequency ultrasonic vibration probe contacts the target billet 001 and excites the hidden defects of the target billet 001 through ultrasonic vibration. The fourth high-frequency ultrasonic flaw detection probe is triggered and acquires the internal defect data of the target billet 001 within the first threshold between the end of ultrasonic vibration excitation.

[0075] The problem addressed by this implementation scheme is that the signal attenuates rapidly after the latent defect is excited, and if it is not detected immediately after excitation, the defect interface may close due to the elastic recovery of the material, making it impossible to effectively identify. The fourth high-frequency ultrasonic flaw detection probe triggers detection within the first threshold time after the excitation of the third high-frequency ultrasonic vibration probe ends. At this time, the latent defect is in its maximum expansion state, and the echo signal amplitude reaches its peak, which can effectively identify it.

[0076] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification. The above embodiments only illustrate several implementation methods of this application, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of this application's patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of this application, and these all fall within the protection scope of this application.

[0077] It should be noted that when an element is referred to as being "fixed to" or "set on" another component, it can be directly or indirectly set on the other component; when a component is referred to as being "connected to" another component, it can be directly or indirectly connected to the other component. It should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or component 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 this application.

[0078] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" or "several" means two or more, unless otherwise explicitly specified.

[0079] It should be noted that the structures, proportions, sizes, etc., shown in the accompanying drawings are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the conditions under which this application can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size should still fall within the scope of the technical content disclosed in this application, provided that they do not affect the effects and purposes that this application can produce.

Claims

1. A denture blank detection apparatus, characterized by, The utility model relates to a kind of personalized machining system for machining target blank, including: Detection platform, which is provided with an external shape detection station and an internal defect detection station; A blank translation support, including a slide rail horizontally arranged on the detection platform and a clamping device horizontally movable along the slide rail, the clamping device is used to fix the target blank, and the clamping device passes through the external shape detection station and the internal defect detection station to fix the target blank; An external shape detection device arranged at the external shape detection station, which can obtain three-dimensional size data and external shape defect data of the target blank at the external shape detection station; An internal defect detection device arranged at the internal defect detection station, which can obtain internal defect data of the target blank at the internal defect detection station; A main controller, which generates personalized machining parameters of the target blank according to the three-dimensional size data, the external shape defect data and the internal defect data, and sends the personalized machining parameters to subsequent turning equipment to execute matching personalized machining parameters on the target blank.

2. The denture blank detection apparatus according to claim 1, wherein The external shape of the target blank is a pie-shaped cylinder, which includes a circular upper surface and a circular lower surface.

3. The denture blank detection apparatus of claim 1, wherein The detection platform is provided with an external shape detection station A, an external shape detection station B, an internal defect detection station A and an internal defect detection station B, and the four stations are arranged in any combination on the detection platform.

4. The denture blank detection apparatus of claim 1, wherein The clamping device includes a drive motor, a first drive rod arranged on both sides of the drive motor, a first clamping arm, a second drive rod and a second clamping arm. The drive motor drives the first clamping arm and / or the second clamping arm to move relatively close to clamp the target blank, and drives the first clamping arm and / or the second clamping arm to move relatively far away to release the target blank. The first clamping arm and the second clamping arm are symmetrically provided with a first blank clamping jaw and a second blank clamping jaw, and the first blank clamping jaw and the second blank clamping jaw move relatively close to clamp the side surface of the target blank.

5. The denture blank detection apparatus of claim 1, wherein The external shape detection device includes a first detection device and a second detection device. The first detection device is matched with the external shape detection station A, and the second detection device is matched with the external shape detection station B. The first detection device includes a first industrial camera and a first laser profiler, and the second detection device includes a second industrial camera and a second laser profiler.

6. The denture blank detection apparatus of claim 5, wherein The first detection device is arranged above the external shape detection station A and obtains upper surface defect data and first three-dimensional size data of the target blank. The second detection device is arranged below the external shape detection station B and obtains lower surface defect data and second three-dimensional size data of the target blank. The three-dimensional size data of the target blank is calculated by the first three-dimensional size data and the second three-dimensional size data.

7. The denture blank detection apparatus of claim 1, wherein The internal defect detection device includes a first high-frequency ultrasonic flaw detection probe and a second high-frequency ultrasonic flaw detection probe. The first high-frequency ultrasonic flaw detection probe is matched with the internal defect detection station A, and the second high-frequency ultrasonic flaw detection probe is matched with the internal defect detection station B.

8. The denture blank detection apparatus of claim 7, wherein The first high-frequency ultrasonic flaw detection probe is arranged below the internal defect detection station A and obtains lower surface internal defect data of the target blank. The second high-frequency ultrasonic flaw detection probe is arranged above the internal defect detection station B and obtains upper surface internal defect data of the target blank.

9. The denture blank detection apparatus of claim 1, wherein The internal damage detection device comprises a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic detection probe, the third high-frequency ultrasonic vibration probe is matched with the internal damage detection station A, the fourth high-frequency ultrasonic detection probe is matched with the internal damage detection station B, the arrangement sequence of the four stations is the internal damage detection station A, the appearance detection station A, the appearance detection station B, and the internal damage detection station B, the third high-frequency ultrasonic vibration probe contacts the target blank and excites the hidden defects of the target blank through ultrasonic vibration, the fourth high-frequency ultrasonic detection probe scans the surface defect area of the target blank in a Z-shaped path and obtains the internal damage defect data of the target blank, and the surface defect area is obtained through the appearance detection device.

10. The denture blank detection apparatus of claim 1, wherein The internal damage detection device comprises a third high-frequency ultrasonic vibration probe and a fourth high-frequency ultrasonic detection probe, the third high-frequency ultrasonic vibration probe is matched with the internal damage detection station A, the fourth high-frequency ultrasonic detection probe is matched with the internal damage detection station B, the arrangement sequence of the four stations is the internal damage detection station A, the appearance detection station A, the appearance detection station B, and the internal damage detection station B, the third high-frequency ultrasonic vibration probe contacts the target blank and excites the hidden defects of the target blank through ultrasonic vibration, the fourth high-frequency ultrasonic detection probe is triggered and obtains the internal damage defect data of the target blank within the first threshold value after the ultrasonic vibration excitation ends.

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