A glass tube wall thickness online real-time detection device and detection method

Abstract

A device and method for online, real-time detection of glass tube wall thickness are disclosed. The device comprises a detection actuator, a turntable, a rotary drive mechanism, a fixed base, and a bracket. The detection actuator comprises a laser sensor head, a processor, and a display. The laser sensor head is fixedly mounted on the turntable, with its central axis pointing toward the center of the turntable. The signal input and output ends of the laser sensor head are communicatively connected to the processor, and the display is communicatively connected to the processor output end. The turntable is C-shaped, and glass tubes pulled by a traction machine on a glass tube production line pass through the center of the turntable. The turntable rotates around the central axis of the glass tube driven by the rotary drive mechanism. The turntable and rotary drive mechanism are mounted on a fixed base, which is secured to a horizontal surface by a bracket. This invention enables real-time detection of glass tube wall thickness on a glass tube production line, thereby improving product quality and reducing production costs.

Description

Technical Field

[0001] The present invention relates to a glass tube wall thickness detection device and detection method, in particular to a glass tube wall thickness detection device arranged on a glass tube production line and an online real-time detection method for glass tube wall thickness completed in conjunction with the device. Background Art

[0002] In the production process of medium-borosilicate glass tubes, operators are required to periodically inspect the tube wall thickness to ensure uniformity. Currently, this method typically uses a mechanical thickness gauge to measure the wall thickness of the precision-cut tube ends, with manual readings used to obtain the measurement results. However, this inspection method has the following drawbacks: First, both manual visual inspection and mechanical thickness gauges are subject to measurement errors, resulting in low accuracy. Second, tube end measurement only detects the local wall thickness of the workpiece and cannot represent the overall thickness of the glass tube. Third, when large deviations in wall thickness are detected, there is a time lag that cannot be resolved, resulting in a large number of unqualified tubes, causing significant waste and increasing production costs. Summary of the Invention

[0003] The present invention provides an online real-time detection device and method for glass tube wall thickness, aiming to improve the quality of glass tube products and reduce production costs by real-time detection of glass tube wall thickness on a glass tube production line.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] A device for online, real-time detection of glass tube wall thickness comprises a detection actuator, a turntable, a rotary drive mechanism, a fixed base, and a bracket. The detection actuator is equipped with a laser sensor head, a processor, and a display. The laser sensor head is fixedly mounted on the turntable with its central axis pointing toward the center of the turntable. The signal input and output ends of the laser sensor head are communicatively connected to the processor, and the display is communicatively connected to the processor output end. The turntable is a "C"-shaped turntable. Glass tubes pulled by traction equipment on a glass tube production line pass through the center of the turntable. The turntable rotates around the central axis of the glass tube under the drive mechanism. The turntable and rotary drive mechanism are mounted on the fixed base, which is secured to a horizontal surface via a bracket.

[0006] The above-mentioned online real-time detection device for glass tube wall thickness comprises a driving mechanism including a motor, a driving gear and gear teeth arranged on the outer edge of a turntable; the output end of the motor is equipped with a driving gear; and the driving gear meshes with the gear teeth on the outer edge of the turntable.

[0007] In the above-mentioned on-line real-time detection device for glass tube wall thickness, the motor is a servo motor, and the motor realizes forward and reverse switching under the instruction of the control system.

[0008] In the above-mentioned on-line real-time detection device for the wall thickness of a glass tube, the turntable is assembled with the fixed seat via a guide support mechanism. The guide support mechanism includes a "C"-shaped guide groove provided on the turntable and a baffle mounted on the fixed seat via a bolt assembly; a space for accommodating the turntable is formed between the baffle and the fixed seat; the number of the bolt assemblies is no less than two, and the bolts in the bolt assemblies pass through the "C"-shaped guide groove on the turntable.

[0009] A method for online, real-time detection of glass tube wall thickness is disclosed. The method utilizes the aforementioned online, real-time detection device for glass tube wall thickness to detect the glass tube wall thickness. The method comprises: emitting a laser beam from a laser sensor head in a detection actuator to the surface of the glass tube. Part of the laser beam forms outer surface reflected light on the outer surface of the glass tube, while part of the light is refracted into the tube wall. When this refracted light strikes the inner surface of the glass tube, another part of the light is reflected back onto the outer surface of the glass tube, forming inner surface reflected light parallel to the outer surface reflected light. After receiving the outer surface reflected light and the inner surface reflected light, the receiving portion of the laser sensor head outputs two light intensity pulse signals containing glass tube wall thickness information. A processor receives the two light intensity pulse signals and processes the data to obtain the glass tube wall thickness detection result. The specific operating steps are as follows:

[0010] a. Install the laser sensor head on the turntable of the detection device and adjust the installation position and angle of the laser sensor head so that the receiving part of the laser sensor head can receive two light intensity pulse signals containing the glass tube wall thickness information;

[0011] b. By measuring the standard sample, input the data used as the comparison standard value into the processor, and at the same time input the allowable error range into the processor;

[0012] c. Start the rotary drive mechanism, and drive the laser sensor head to rotate in a forward and reverse alternating mode around the central axis of the glass tube through the turntable. The laser sensor head and processor are both in working state. The laser sensor head emits light and receives light intensity pulse signals. The processor processes the light intensity pulse signals to obtain a measurement value corresponding to the standard value.

[0013] d. The processor compares each measured value with the standard value and outputs a continuous trend graph of the comparison results on the display panel. When the comparison result exceeds the allowable error range, the alarm device installed on the glass tube production line sends an alarm signal;

[0014] e. After the comparison results are within the allowable error range and the measurement data can be kept stable, start the glass tube cutting device and cut off the glass tube segments that exceed the allowable error range as unqualified products.

[0015] In the above-mentioned online, real-time glass tube wall thickness detection method, in step b, the standard sample is measured using a static glass tube of the same size and material as the glass tube to be measured. Measurements are taken at three predetermined positions, near, mid, and far from the laser sensor head, to obtain three different sets of simulated data. The three sets of data are then divided by the thickness of the glass tube to be measured, and the average value is calculated to obtain the data used as the comparison standard value.

[0016] In the above-mentioned on-line real-time detection method for glass tube wall thickness, in step c, the operating frequency of the laser sensor head emission part is 1000 times / second.

[0017] In the above-mentioned online real-time detection method for glass tube wall thickness, in step c, when the processor processes the light intensity pulse signal, it can also eliminate errors in the measured value caused by external factors by setting a correction coefficient.

[0018] The present invention provides an online, real-time detection device and method for glass tube wall thickness. This device utilizes a laser sensor head to emit and receive reflected light from the inner and outer surfaces of a glass tube. A processor in a detection actuator then calculates and converts the light into digital signals, displaying the measurement results on a display, enabling online, real-time monitoring of the glass tube wall thickness. The laser sensor head is fixedly mounted on a turntable, which, driven by a rotary drive mechanism, rotates forward and reverse around the central axis of the glass tube. This, in conjunction with the rotational movement of the glass tube during its traction on a glass tube production line, enables comprehensive detection of the circumferential wall thickness of the glass tube. The turntable's C-shaped design facilitates installation on the production line. This method enables real-time detection of glass tube wall thickness on a glass tube production line, thereby improving product quality and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Schematic diagram of the structure of the on-line real-time detection method for glass tube wall thickness according to the present invention;

[0020] Figure 2 yes Figure 1 K-direction view;

[0021] Figure 3 It is a schematic diagram of the working status of the detection actuator;

[0022] Figure 4 It is a schematic diagram of the optical principle of the detection actuator.

[0023] The list of reference numbers in the figure is:

[0024] 1. Bracket; 2. Motor; 3. Driving gear; 4. Turntable, 4-1. Gear teeth, 4-2. "C"-shaped guide groove; 5. Laser sensor head; 6. Baffle; 7. Bolt assembly; 8. Fixing seat; 9. Glass tube; 10. Processor; 11. Display. DETAILED DESCRIPTION

[0025] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0026] See Figure 1. Figure 2 、 Figure 3 The device for online, real-time detection of glass tube wall thickness according to the present invention includes a detection actuator, a turntable 4, a guide support mechanism, a rotation drive mechanism, a fixed seat 8, and a bracket 1. The detection actuator is provided with a laser sensor head 5, a processor 10, and a display 11. The laser sensor head 5 is fixedly mounted on the turntable 4, with its central axis pointing to the center of the turntable 4. The signal input and output ends of the laser sensor head 5 are communicatively connected to the processor 10, and the display 11 is communicatively connected to the output end of the processor 10.

[0027] See Figure 1. Figure 2 The on-line real-time detection device for glass tube wall thickness of the present invention comprises a C-shaped turntable 4 assembled with a fixed base 8 via a guide support mechanism. Glass tubes 9 pulled by a traction machine on a glass tube production line pass through the center of the turntable 4. The turntable 4 is driven by a rotary drive mechanism to rotate about the central axis of the glass tube 9. The guide support mechanism includes a C-shaped guide groove 4-2 provided on the turntable 4 and a baffle 6 mounted on the fixed base via a bolt assembly 7. A space for accommodating the turntable 4 is formed between the baffle 6 and the fixed base 8. The bolt assemblies 7 are provided in at least two groups, and the bolts in the bolt assemblies 7 pass through the C-shaped guide groove 4-2 on the turntable. The drive mechanism includes a motor 2, a driving gear 3, and gear teeth 4-1 provided on the outer edge of the turntable 4. The motor 2 is a servo motor. The driving gear 3 is mounted on the output end of the motor 2 and meshes with the gear teeth 4-1 on the outer edge of the turntable 4. The turntable 4 and the rotary drive mechanism are mounted on the fixed base 8. The fixed base 8 is fixed to a horizontal surface via a bracket 1.

[0028] See Figure 1 、 Figure 2 、 Figure 3 、 Figure 4The online real-time detection method for glass tube wall thickness of the present invention utilizes an online real-time detection device for glass tube wall thickness to detect the wall thickness of the glass tube. The emitting portion of the laser sensor head 5 in the detection actuator emits laser light toward the surface of the glass tube 9. Part of the laser light forms outer surface reflected light on the outer surface of the glass tube, while part of the light is refracted into the tube wall. When this refracted light enters the inner surface of the glass tube 9, another part of the light is reflected back to the outer surface of the glass tube 9, forming inner surface reflected light parallel to the outer surface reflected light. After receiving the outer surface reflected light and the inner surface reflected light, the receiving portion of the laser sensor head 5 outputs two light intensity pulse signals containing glass tube wall thickness information. The processor 10 receives the two light intensity pulse signals and performs data processing to obtain the detection result of the wall thickness of the glass tube 9. The specific operation steps are as follows:

[0029] a. Install the laser sensor head 5 on the turntable 4 of the detection device and adjust the installation position and angle of the laser sensor head 5 so that the receiving part of the laser sensor head 5 can receive two light intensity pulse signals containing the glass tube wall thickness information;

[0030] b. By measuring a standard sample, data for comparison standard values ​​is input into the processor. The standard sample is measured using a static glass tube of the same size and material as the glass tube to be measured 9 as the measurement object. Measurements are taken at three predetermined positions, near, mid, and far from the measurement object, from the laser sensor head 5 to obtain three different sets of simulated data. The three sets of data are then divided by the thickness of the glass tube to be measured, and the average value is calculated to obtain the data for comparison standard values. The allowable error range is also input into the processor 10.

[0031] c. Start the rotary drive mechanism, and drive the laser sensor head 5 to rotate in a forward and reverse alternating mode around the central axis of the glass tube 9 via the turntable 3. The laser sensor head 5 and the processor 10 are both in an operating state. The laser sensor head 5 emits light and receives light intensity pulse signals. The processor 10 processes the light intensity pulse signals to obtain a measurement value corresponding to the standard value.

[0032] d. The processor 10 compares each measured value with the standard value and outputs a continuous trend graph of the comparison results on the display panel. When the comparison result exceeds the allowable error range, an alarm device arranged on the glass tube production line sends an alarm signal;

[0033] e. After the comparison results are within the allowable error range and the measurement data can be kept stable, start the glass tube cutting device and cut off the glass tube segments that exceed the allowable error range as unqualified products.

[0034] See Figure 3 、 Figure 4The optical principle of the online, real-time glass tube wall thickness detection method described in the present invention is as follows: the laser light AO emitted by the emitting portion of the laser sensor head 5 toward the surface of the glass tube 9 impinges on the glass tube 9 at an angle α. Part of the laser light forms an outer surface reflected light OE on the outer surface of the glass tube. Simultaneously, part of the light OB is refracted into the tube wall at a refraction angle β. When this refracted light OB enters the inner surface of the glass tube 9, another part of the light BC is reflected back to the outer surface of the outer glass tube 9, forming an inner surface reflected light CD parallel to the outer surface reflected light. After receiving the outer surface reflected light OE and the inner surface reflected light CD, the receiving portion of the laser sensor head 5 outputs two light intensity pulse signals containing information on the glass tube wall thickness H. The processor 10 receives the two light intensity pulse signals and performs data processing. According to the law of light refraction, the refractive index of the glass tube 9 is:

[0035] n=sinα / sinβ,

[0036] according to Figure 4 The geometric relationship between △OBC and △OEC can be obtained:

[0037] FC=L=2ξH,

[0038] in

[0039] It can be seen that when the laser sensor head 5 emits light at a set angle, the distance L between the outer surface reflected light OE and the inner surface reflected light CD is directly proportional to the thickness of the glass tube wall. When the processor 10 processes and calculates the distance between the two light intensity pulse signals received by the receiving part of the laser sensor head 5, the glass tube thickness H value can be obtained.

Claims

1. A method for online real-time detection of glass tube wall thickness, characterized by: The wall thickness of a glass tube (9) is detected using an online real-time detection device for the wall thickness of a glass tube. The online real-time detection device for the wall thickness of a glass tube comprises a detection actuator, a turntable (4), a rotation drive mechanism, a fixed seat (8) and a bracket (1); the detection actuator is provided with a laser sensor head (5), a processor (10) and a display (11); the laser sensor head is fixedly mounted on the turntable (4), and its central axis points to the center of the turntable (4); the signal input end and the output end of the laser sensor head (5) are communicatively connected to the processor (10); the display (11) is communicatively connected to the output end of the processor (10); the turntable (4) is a "C"-shaped turntable, and the glass tube (9) pulled by the traction machine equipment on the glass tube production line passes through the center of the turntable (4), and the turntable (4) rotates around the central axis of the glass tube (9) under the drive of the rotation drive mechanism; the turntable (4) and the rotation drive mechanism are mounted on the fixed seat (8); the fixed seat (8) is fixed on a horizontal ground by the bracket (1); The driving mechanism comprises a motor (2), a driving gear (3), and gear teeth (4-1) arranged on the outer edge of a turntable (4); the output end of the motor (2) is equipped with the driving gear (3); the driving gear (3) is meshed with the gear teeth (4-1) on the outer edge of the turntable (4); The motor (2) is a servo motor, and the motor (2) realizes forward and reverse switching under the instruction of the control system; The turntable (4) is assembled with the fixed seat via a guide support mechanism, wherein the guide support mechanism comprises a "C"-shaped guide groove (4-2) provided on the turntable (4) and a baffle (6) mounted on the fixed seat via a bolt assembly (7); a space for accommodating the turntable (4) is formed between the baffle (6) and the fixed seat (8); the number of the bolt assemblies (7) is not less than two groups, and the bolts in the bolt assemblies (7) pass through the "C"-shaped guide groove (4-2) on the turntable; The specific steps are as follows: a. Install the laser sensor head (5) on the turntable (4) of the detection device, and adjust the installation position and angle of the laser sensor head (5) so that the receiving part of the laser sensor head (5) can receive two light intensity pulse signals containing information about the wall thickness of the glass tube; b. By measuring the standard sample, inputting the data as the comparison standard value into the processor, and inputting the allowable error range into the processor (10); c. Start the rotary drive mechanism, and drive the laser sensor head (5) to rotate in a forward and reverse alternating mode around the central axis of the glass tube (9) through the turntable (4). The laser sensor head (5) and the processor (10) are both in a working state. The laser sensor head (5) emits light and receives a light intensity pulse signal. The processor (10) processes the light intensity pulse signal to obtain a measurement value corresponding to the standard value; d. The processor (10) compares each measured value with the standard value and outputs a continuous trend curve of the comparison result on the display (11) panel. When the comparison result exceeds the allowable error range, an alarm device arranged on the glass tube production line sends an alarm signal; e. After the comparison results are within the allowable error range and the measurement data can be kept stable, start the glass tube cutting device and cut off the glass tube segments that exceed the allowable error range as unqualified products.

2. The method for online real-time detection of glass tube wall thickness according to claim 1, wherein: The method for detecting the wall thickness of the glass tube (9) is to emit a laser (AO) to the surface of the glass tube (9) through the emitting part of the laser sensor head (5) in the detection actuator, and part of the laser forms an outer surface reflected light (OE) on the outer surface of the glass tube, and at the same time, part of the light (OB) is refracted into the tube wall. When this part of the refracted light (OB) is incident on the inner surface of the glass tube, another part of the light (BC) is reflected to the outer surface of the outer glass tube, forming an inner surface reflected light (CD) parallel to the outer surface reflected light (OE). After receiving the outer surface reflected light (OE) and the inner surface reflected light (CD), the receiving part of the laser sensor head outputs two light intensity pulse signals with glass tube wall thickness information. The processor (10) receives the two light intensity pulse signals and completes data processing to obtain the detection result of the glass tube wall thickness (H).

3. The method for online real-time detection of glass tube wall thickness according to claim 1, wherein In the step b, the measurement of the standard sample is performed by taking a static glass tube of the same size and material as the glass tube (9) to be measured as the measurement object, and measuring the measurement object at three set positions, namely, near, middle, and far from the laser sensor head, to obtain three different sets of simulation data. The three sets of data are then divided by the thickness of the glass tube to be measured and the average value is obtained to obtain the data used as the comparison standard value.

4. The method for online real-time detection of glass tube wall thickness according to claim 1, wherein In the step c, the operating frequency of the emitting part of the laser sensor head (5) is 1000 times / second.

5. The method for online real-time detection of glass tube wall thickness according to claim 1, wherein In the step c, when the processor (10) performs data processing on the light intensity pulse signal, it can also eliminate errors in the measured value caused by external factors by setting a correction coefficient.

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