Tail fiber processing method for airtight packaging

Abstract

The invention discloses a tail fiber processing method for airtight packaging, which comprises the following steps of: removing a tight sleeve and a coating layer of an optical fiber, and cleaning a bare optical fiber by using ultrasonic cleaning equipment; sequentially penetrating the bare optical fiber into the first section of metal tube and the first section of glass solder through an automatic penetrating system, then penetrating the bare optical fiber into the second section of metal tube and the second section of glass solder through the automatic penetrating system again, and adding a layer of protective film between the metal tube and the glass solder; placing the optical fiber penetrating through the metal tube and the glass solder on an intelligent temperature control heating table; after the glass solder is melted, carrying out an air tightness test; and carrying out comprehensive detection on the welded tail fiber. According to the method, airtight welding is achieved by adopting the prefabricated low-temperature glass solder and the metal tube prepared in advance in a special temperature control heating mode, waste water and waste gas are not generated in the operation process, operation is easy and fast, the product rate is high, and high-reliability fixing of the tail fiber during airtight packaging can be well achieved.

Description

Technical Field

[0001] The invention relates to the field of optical fiber metallization production, in particular to a pigtail processing method for airtight packaging. Background Art

[0002] The traditional method of optical fiber metallization is to first remove the tight sleeve and coating of the optical fiber, and then use the field-free method to plate gold on the bare optical fiber. In applications, the gold-plated bare optical fiber is often placed on a metal bracket or in the metal sleeve of the device housing, and solder is used to weld the optical fiber firmly to the metal bracket or seal it to the metal sleeve of the device housing.

[0003] The traditional optical fiber metallization production method usually requires the optical fiber to be metallized during hermetic packaging. This step is cumbersome and has a low yield rate. At the same time, the production process is also accompanied by wastewater and waste discharge problems. Therefore, it is necessary to design a fiber pigtail processing method for hermetic packaging. Summary of the invention

[0004] The object of the present invention is to provide a method for processing pigtails for airtight packaging to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for processing pigtails for airtight packaging, comprising the following steps:

[0007] Step S1, removing the tight sleeve and coating of the optical fiber, and cleaning the bare optical fiber using an ultrasonic cleaning device to ensure that the surface of the bare optical fiber is clean and free of impurities;

[0008] Step S2, inserting the bare optical fiber into the first section of the metal tube and the first section of the glass solder in sequence through the automated insertion system, and then inserting the bare optical fiber into the second section of the metal tube and the second section of the glass solder through the automated insertion system again, and adding a layer of protective film between the metal tube and the glass solder;

[0009] Step S3, placing the optical fiber with the metal tube and glass solder on an intelligent temperature-controlled heating table, setting the temperature of the heating table to the melting temperature of the glass solder, starting the heating program, and the intelligent temperature control system monitors the temperature of the heating table in real time to ensure that the glass solder melts at the optimal temperature;

[0010] Step S4, after the glass solder is melted, use a high-precision microscope to check the firmness of the welding, and perform an airtightness test to ensure the airtight packaging effect between the optical fiber and the metal tube;

[0011] Step S5, conduct a comprehensive test on the welded pigtails, including optical performance, mechanical strength and air tightness, and record the test data and production date of each product.

[0012] In the present invention, in step S2, the glass solder used is prefabricated low-temperature glass solder with a melting temperature lower than 400° C., so as to reduce damage to the optical fiber and the metal tube.

[0013] In the present invention, in step S2, the automated penetration system further comprises a high-precision positioning device and an automatic penetration device for accurate penetration of the metal tube and the glass solder.

[0014] In the present invention, in the step S2, the protective film is a high temperature resistant and corrosion resistant thin film material, which can prevent the optical fiber from being damaged during the heating process.

[0015] In the present invention, in step S3, the intelligent temperature control system further includes a temperature sensor and a control unit, which are used to monitor the temperature of the heating table and automatically adjust the heating power so that the glass solder melts at an optimal temperature.

[0016] In the present invention, in step S4, the airtightness test also includes a pressure test and a leakage test, which are used to confirm the airtight packaging effect between the optical fiber and the metal tube.

[0017] In the present invention, in step S5, the comprehensive inspection also includes optical performance test, mechanical strength test and air tightness test, which are used to detect the quality and reliability of the product.

[0018] In the present invention, in step S3, the intelligent temperature control system further uses an adaptive control algorithm to automatically adjust the heating power according to real-time temperature changes;

[0019] The adaptive control algorithm is based on PID control, and the formula is as follows:

[0020] P(t)=Kp·e(t)+Ki·∫0te(τ)dτ+Kd·dtde(t)

[0021] Among them, P(t) is the heating power, e(t) is the difference between the set temperature and the actual temperature, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient.

[0022] In the present invention, in step S4, the airtightness test further uses infrared thermal imaging technology to monitor the temperature distribution of the welding part in real time;

[0023] Infrared thermal imaging technology is based on Planck's law, which is as follows:

[0024] λ max T = b

[0025] Among them, λ max is the maximum radiation wavelength, T is the object temperature, and b is the Wien constant.

[0026] In the present invention, in step S5, the comprehensive detection further uses a machine learning algorithm to automatically determine the quality and reliability of the product based on historical detection data;

[0027] Machine learning algorithms include:

[0028] Linear regression, used to predict continuous values, has the following formula:

[0029] y=β0+β1x 1+β2x2+…+βnxn+∈

[0030] Among them, y is the predicted value, β0 is the intercept, βi is the coefficient, xi is the feature, and ∈ is the error term.

[0031] It also includes support vector machines for classification, the formula is as follows:

[0032] f(x)=sgn(i=1∑nαiy iK(xi,x)+b)

[0033] Among them: f(x) is the classification result, αi is the Lagrange multiplier, yi is the label, K(xi,x) is the kernel function, and b is the bias term.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] The present invention adopts a special temperature control heating method to achieve airtight welding by using prefabricated low-temperature glass solder and a metal tube prepared in advance. The present invention does not generate waste water or waste gas during operation, the operation is simple and fast, the product rate is high, and high reliability fixation of the pigtail during airtight packaging can be well achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The present invention is a schematic flow chart of a method for processing pigtails for airtight packaging. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] See also Figure 1 , the present invention provides a technical solution:

[0039] A method for processing pigtails for airtight packaging, comprising the following steps:

[0040] Step S1, removing the tight sleeve and coating of the optical fiber, and cleaning the bare optical fiber using an ultrasonic cleaning device to ensure that the surface of the bare optical fiber is clean and free of impurities;

[0041] Step S2, inserting the bare optical fiber into the first section of the metal tube and the first section of the glass solder in sequence through the automated insertion system, and then inserting the bare optical fiber into the second section of the metal tube and the second section of the glass solder through the automated insertion system again, and adding a layer of protective film between the metal tube and the glass solder;

[0042] Preferably, the glass solder uses prefabricated low-temperature glass solder with a melting temperature below 400° C., which is used to reduce damage to the optical fiber and the metal tube;

[0043] Furthermore, the automated penetration system also includes a high-precision positioning device and an automatic penetration device for accurate penetration of the metal tube and glass solder;

[0044] Furthermore, the protective film is a high temperature resistant and corrosion resistant film material, which can prevent the optical fiber from being damaged during the heating process;

[0045] Step S3, placing the optical fiber with the metal tube and glass solder on an intelligent temperature-controlled heating table, setting the temperature of the heating table to the melting temperature of the glass solder, starting the heating program, and the intelligent temperature control system monitors the temperature of the heating table in real time to ensure that the glass solder melts at the optimal temperature;

[0046] Preferably, the intelligent temperature control system further comprises a temperature sensor and a control unit for monitoring the temperature of the heating stage and automatically adjusting the heating power so that the glass solder melts at an optimal temperature;

[0047] In step S3, the intelligent temperature control system further uses an adaptive control algorithm to automatically adjust the heating power according to real-time temperature changes;

[0048] The adaptive control algorithm is based on PID control, and the formula is as follows:

[0049] P(t)=Kp·e(t)+Ki·∫0te(τ)dτ+Kd·dtde(t)

[0050] Among them, P(t) is the heating power, e(t) is the difference between the set temperature and the actual temperature, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient;

[0051] In this step, the temperature sensor is used to monitor the temperature of the heating stage in real time, and the control unit is used to automatically adjust the heating power so that the glass solder melts at the optimal temperature.

[0052] The derivation process of the adaptive control algorithm is as follows:

[0053] Step S301, setting the target temperature T set =350℃;

[0054] Step S302, measuring the actual temperature T actual ;

[0055] Step S303, calculate the temperature error e(t)=T set -T actual ;

[0056] Step S304, selecting PID coefficients Kp, Ki, Kd;

[0057] Step S305, calculating the control output P(t);

[0058] Step S306, update the actual temperature T actual ;

[0059] Step S307, repeat steps S303-S306 until the actual temperature approaches the target temperature.

[0060] In a specific embodiment of this step, it is assumed that the intelligent temperature control system needs to control the temperature of the heating platform at 350°C to ensure that the glass solder melts, and the initial temperature is 25°C. The system needs to quickly and stably raise the temperature to the target value.

[0061] Step S301, setting the target temperature:

[0062] Target temperature T set =350℃;

[0063] Step S302, measuring the actual temperature:

[0064] Initial actual temperature T actual =25℃;

[0065] Step S303, calculate temperature error

[0066] Temperature error e(t) = T set -T actual ;

[0067] Initial error e(0) = 350-25 = 325°C;

[0068] Step S304, PID control formula:

[0069] P(t)=Kp·e(t)+Ki·∫0te(τ)dτ+Kd·dtde(t);

[0070] Step S305, select PID coefficient:

[0071] Assume Kp = 1.0, Ki = 0.1, Kd = 0.5;

[0072] Step S306, calculate the control output:

[0073] At the initial time t=0, the integral term ∫00e(τ)dτ=0, and the differential term dtde(0)=0;

[0074] Initial control output P(0)=Kp·e(0)=1.0·325=325;

[0075] Step S307, update the actual temperature:

[0076] Assume that the heating power P(0) causes the temperature to rise by 10°C per second;

[0077] Actual temperature T actual (1) = 25 + 10 = 35 ° C;

[0078] Step S308, repeat steps 3-7:

[0079] Calculate the new error e(1) = 350-35 = 315°C;

[0080] Calculate new control output

[0081] P(1)=1.0·315+0.1·325+0.5·(315-325)=315+32.5-5=342.5;

[0082] Update actual temperature T actual (2) = 35 + 34.25 = 69.25 ° C;

[0083] Step S309, continue iterating until the actual temperature approaches the target temperature.

[0084] Step S4, after the glass solder is melted, use a high-precision microscope to check the firmness of the welding, and perform an airtightness test to ensure the airtight packaging effect between the optical fiber and the metal tube;

[0085] Preferably, the airtightness test also includes a pressure test and a leakage test, which are used to confirm the airtight packaging effect between the optical fiber and the metal tube;

[0086] Furthermore, in step S4, the air tightness test further uses infrared thermal imaging technology to monitor the temperature distribution of the welding part in real time;

[0087] Infrared thermal imaging technology is based on Planck's law, which is as follows:

[0088] λ max T = b

[0089] Among them, λ maxis the maximum radiation wavelength, T is the object temperature, and b is the Wien constant;

[0090] During this step, a precision microscope is used to check the soundness of the weld.

[0091] The air tightness test specifically includes:

[0092] Pressure testing, which detects leaks by applying pressure.

[0093] Leak detection, using infrared thermal imaging technology to monitor the temperature distribution of the welding part in real time.

[0094] Among them, the following derivation process of infrared thermal imaging technology:

[0095] Step S401, setting the monitoring area, the temperature range is 300°C to 400°C.

[0096] Step S402, selecting an infrared thermal imaging device with a wavelength range of 3-5 μm.

[0097] Step S403, real-time monitoring of the temperature distribution of the welding part to ensure that the temperature is uniform and within the target range;

[0098] In a specific embodiment of this step, it is assumed that the temperature distribution of the welding part needs to be monitored by infrared thermal imaging technology to ensure the welding quality.

[0099] Step S401, setting the monitoring area:

[0100] Assume that the monitoring area is the welding part and the temperature range is 300℃ to 400℃.

[0101] Step S402, based on Planck's law λ max T = b Calculate the maximum radiation wavelength:

[0102] For 350℃(623.15K), λ max =623.152.898×10-3≈4.65×10-6m=4.65μm

[0103] Step S403, select infrared thermal imaging equipment:

[0104] Select infrared thermal imaging equipment with a wavelength range of 3-5μm to cover the maximum radiation wavelength.

[0105] Step S404, real-time monitoring:

[0106] The temperature distribution of the welding part is monitored in real time by infrared thermal imaging equipment to ensure that the temperature is uniform and within the target range.

[0107] Step S5, conduct a comprehensive test on the welded pigtails, including optical performance, mechanical strength and air tightness, and record the test data and production date of each product.

[0108] Preferably, the comprehensive inspection also includes optical performance test, mechanical strength test and air tightness test to detect the quality and reliability of the product.

[0109] Furthermore, comprehensive testing further uses machine learning algorithms to automatically determine the quality and reliability of products based on historical testing data;

[0110] Machine learning algorithms include:

[0111] Linear regression, used to predict continuous values, has the following formula:

[0112] y=β0+β1x 1+β2x2+…+βnxn+∈

[0113] Among them, y is the predicted value, β0 is the intercept, βi is the coefficient, xi is the feature, and ∈ is the error term.

[0114] It also includes support vector machines for classification, the formula is as follows:

[0115] f(x)=sgn(i=1∑nαiy iK(xi,x)+b)

[0116] Where: f(x) is the classification result, αi is the Lagrange multiplier, yi is the label, K(xi,x) is the kernel function, and b is the bias term;

[0117] In this step, the optical fiber loss is detected using an optical spectrum analyzer, the mechanical strength of the optical fiber is tested by a tensile test, and the airtightness test in step S4 is repeated.

[0118] The derivation process of the machine learning algorithm is as follows:

[0119] Step S501, collecting historical test data, including optical performance, mechanical strength and air tightness test results;

[0120] Step S502, extracting features, such as optical fiber loss, mechanical strength value, and airtightness test results;

[0121] Step S503, selecting linear regression, decision tree and support vector machine as candidate algorithms;

[0122] Step S504, estimating model parameters through training data set;

[0123] Step S505, using a cross-validation method to evaluate the performance of each algorithm and select the best model;

[0124] Step S506, using the selected best model to automatically determine the quality and reliability of the product based on the new test data;

[0125] The specific implementation of this step assumes that it is necessary to automatically judge the quality and reliability of the product based on historical test data through a machine learning algorithm.

[0126] Step S501, data collection:

[0127] Collect historical inspection data, including optical performance, mechanical strength and airtightness test results.

[0128] Step S502, feature extraction:

[0129] Extract features such as fiber loss, mechanical strength values, airtightness test results, etc.

[0130] Step S503, select a machine learning algorithm:

[0131] Linear regression, decision tree, and support vector machine were selected as candidate algorithms.

[0132] Step S504, linear regression:

[0133] y=β0+β1x 1+β2x2+…+βnxn+∈;

[0134] Assume there are three features x1, x2, x3, and the target value y is the product quality score;

[0135] The coefficients β0, β1, β2, and β3 are estimated by the least squares method.

[0136] Step S505, decision tree: construct a tree structure by recursively segmenting the data set, and select the best segmentation point to minimize the classification error.

[0137] Step S506, support vector machine:

[0138] f(x)=sgn(i=1∑nαiy iK(xi,x)+b)

[0139] Select Gaussian kernel function K(xi,x)=exp(-γ∥xi-x∥2);

[0140] The Lagrange multiplier αi and the bias term b are estimated using the training dataset.

[0141] Step S507, model evaluation:

[0142] The cross-validation method was used to evaluate the performance of each algorithm and select the best model.

[0143] Step S508, automatic determination:

[0144] Use the selected best model to automatically judge the quality and reliability of products based on new inspection data.

[0145] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0146] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for processing pigtails for airtight packaging, characterized in that: The following steps are involved: Step S1, removing the tight sleeve and coating of the optical fiber, and cleaning the bare optical fiber using an ultrasonic cleaning device to ensure that the surface of the bare optical fiber is clean and free of impurities; Step S2, inserting the bare optical fiber into the first section of the metal tube and the first section of the glass solder in sequence through the automated insertion system, and then inserting the bare optical fiber into the second section of the metal tube and the second section of the glass solder through the automated insertion system again, and adding a layer of protective film between the metal tube and the glass solder; Step S3, placing the optical fiber with the metal tube and glass solder on an intelligent temperature-controlled heating table, setting the temperature of the heating table to the melting temperature of the glass solder, starting the heating program, and the intelligent temperature control system monitors the temperature of the heating table in real time to ensure that the glass solder melts at the optimal temperature; Step S4, after the glass solder is melted, use a high-precision microscope to check the firmness of the welding, and perform an airtightness test to ensure the airtight packaging effect between the optical fiber and the metal tube; Step S5, conduct a comprehensive test on the welded pigtails, including optical performance, mechanical strength and air tightness, and record the test data and production date of each product.

2. A method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S2, the glass solder used is prefabricated low-temperature glass solder with a melting temperature lower than 400° C., so as to reduce damage to the optical fiber and the metal tube.

3. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In the step S2, the automated penetration system further comprises a high-precision positioning device and an automatic penetration device for accurately penetrating the metal tube and the glass solder.

4. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In the step S2, the protective film is a high temperature resistant and corrosion resistant thin film material, which can prevent the optical fiber from being damaged during the heating process.

5. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S3, the intelligent temperature control system further includes a temperature sensor and a control unit, which are used to monitor the temperature of the heating platform and automatically adjust the heating power so that the glass solder melts at an optimal temperature.

6. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S4, the airtightness test also includes a pressure test and a leakage test, which are used to confirm the airtight packaging effect between the optical fiber and the metal tube.

7. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S5, the comprehensive inspection also includes an optical performance test, a mechanical strength test and an air tightness test, which are used to inspect the quality and reliability of the product.

8. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S3, the intelligent temperature control system further uses an adaptive control algorithm to automatically adjust the heating power according to real-time temperature changes; The adaptive control algorithm is based on PID control, and the formula is as follows: P(t)=Kp·e(t)+Ki·∫0te(τ)dτ+Kd·dtde(t) Among them, P(t) is the heating power, e(t) is the difference between the set temperature and the actual temperature, Kp is the proportional coefficient, Ki is the integral coefficient, and Kd is the differential coefficient.

9. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S4, the air tightness test further uses infrared thermal imaging technology to monitor the temperature distribution of the welding part in real time; Infrared thermal imaging technology is based on Planck's law, which is as follows: l max ·T=b Among them, λ max is the maximum radiation wavelength, T is the object temperature, and b is the Wien constant.

10. The method for processing pigtails for airtight packaging according to claim 1, characterized in that: In step S5, the comprehensive inspection further uses a machine learning algorithm to automatically determine the quality and reliability of the product based on historical inspection data; Machine learning algorithms include: Linear regression, used to predict continuous values, has the following formula: y=β0+β1x 1+β2x2+…+βnxn+∈ Among them, y is the predicted value, β0 is the intercept, βi is the coefficient, xi is the feature, and ∈ is the error term. It also includes support vector machines for classification, the formula is as follows: f(x)=sgn(i=1∑nαiy iK(xi,x)+b) Among them: f(x) is the classification result, αi is the Lagrange multiplier, yi is the label, K(xi,x) is the kernel function, and b is the bias term.

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