Shell opening and restoring process for heat treatment of automobile headlamp

Abstract

The invention relates to the field of automobile manufacturing processes, and discloses an automobile headlamp heat treatment shell opening and restoring process which comprises the following steps that firstly, an infrared heating device is used for heating a headlamp sealing material, and the infrared heating device comprises a plurality of infrared emitters so that the sealing material can be softened; secondly, an automatic mechanical arm is combined with a visual recognition system, and a headlamp sealing part is recognized; and thirdly, in the sealing groove of the headlamp, piezoelectric spraying equipment is adopted for gluing the intelligent response type sealing material, and the piezoelectric spraying equipment has an adjustable nozzle opening area so as to control the spraying amount of the sealing material. By adopting the mode of combining the infrared heating equipment and the induction heating device, the headlamp sealing material can be quickly and uniformly heated. The temperature is accurately controlled through the PID control system, the phenomenon of excessive heating or uneven heating is avoided, and therefore the heating efficiency and the heat treatment quality are improved.

Description

Technical Field

[0001] The invention relates to the technical field of automobile manufacturing process, in particular to a shell opening and restoration process for heat treatment of automobile headlights. Background Art

[0002] With the rapid development of the automobile industry, the design and manufacturing technology of automobile headlights, as an important part of automobiles, is also constantly improving. Automobile headlights not only provide lighting functions, but also have multiple functions such as beauty, energy saving, and safety. Therefore, the manufacturing process of automobile headlights, especially the assembly and maintenance process of headlights, has received more and more attention. In the manufacturing and maintenance process of headlights, the processing of sealing materials, the accuracy and efficiency of shell opening and restoration processes directly affect the sealing performance, waterproof performance and durability of headlights.

[0003] In the existing heat treatment process of headlights, traditional resistance heating or hot air heating equipment is usually used to soften the sealing material. These heating methods are inefficient and have poor temperature control accuracy, which can easily lead to uneven heating or overheating of the sealing material, affecting subsequent operations. At the same time, the shell opening operation usually relies on manual or semi-automatic mechanical equipment, and the shell opening process is prone to insufficient accuracy or damage to the sealing material. In addition, most of the existing sealing materials are ordinary polymer materials, which are prone to aging or damage during multiple heating and cooling cycles, and the restoration effect is poor, affecting the sealing performance of the headlights. In the glue coating process, the precision of the spraying equipment is low, and it is difficult to ensure the uniformity of the glue coating amount. The curing process mostly relies on natural curing or simple heating box curing methods, with low curing efficiency and unstable quality.

[0004] Traditional heating equipment is prone to uneven heating or overheating when processing headlight sealing materials, resulting in unsatisfactory softening of the sealing materials. This not only affects the smooth progress of the shell opening operation, but may also cause damage to the sealing materials, reducing the restoration effect and sealing quality. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a shell opening and restoration process for heat treatment of automobile headlights, which solves the problem that the existing heating equipment is prone to uneven heating or overheating when processing headlight sealing materials, resulting in unsatisfactory softening effect of the sealing materials.

[0006] To achieve the above objectives, the present invention is implemented by the following technical solutions: The shell opening and restoration process of the automobile headlight heat treatment includes the following steps:

[0007] Step 1: Use an infrared heating device to heat the headlight sealing material, wherein the infrared heating device includes a plurality of infrared emitters, and the infrared emitters are arranged around the sealing position of the headlight to uniformly heat the sealing material to 80 degrees to 100 degrees to soften the sealing material;

[0008] Step 2: using an automated robotic arm in combination with a visual recognition system to identify the sealing part of the headlight and perform an opening operation on the headlight housing, wherein the visual recognition system includes a high-definition camera and a deep learning algorithm;

[0009] Step 3: In the sealing groove of the headlight, a piezoelectric spraying device is used to apply glue to the intelligent response type sealing material, wherein the piezoelectric spraying device has an adjustable nozzle opening area to control the spraying amount of the sealing material;

[0010] Step 4: using an infrared curing device to heat and cure the sealing material, wherein the infrared curing device includes a temperature sensor and a heating control module;

[0011] Step 5: Monitor the temperature, pressure and sealing parameters of the curing process in real time through a sensor network, and the sensor network transmits the collected data signals to a central control unit through wireless data transmission.

[0012] Preferably, the infrared heating device further comprises an induction heating device, which is installed in a local area of ​​the headlight sealing material and is used to quickly heat the local sealing material.

[0013] Preferably, the infrared heating equipment and induction heating device control the temperature through a PID control system, and the PID control system includes a proportional regulation module, an integral regulation module and a differential regulation module to automatically adjust the power of infrared and induction heating according to the deviation between the set temperature and the actual temperature.

[0014] Preferably, the smart responsive sealing material is a shape memory polymer, which softens when the temperature rises to 85 to 100 degrees and recovers its original shape when cooled to 30 to 40 degrees. The shape memory polymer contains a main chain structure and a cross-linking structure to ensure that the shape memory function of the material is maintained during multiple heating and cooling processes.

[0015] Preferably, in step 4, nano-silicon dioxide particles are uniformly distributed in the shape memory polymer, the particle size of the nano-silicon dioxide particles ranges from 10 nm to 50 nm, and the nano-particles are connected to the shape memory polymer matrix by chemical cross-linking.

[0016] Preferably, the automated robotic arm includes a multi-degree-of-freedom robotic arm assembly and a control module. The control module obtains the three-dimensional position information of the headlight through a visual recognition system to generate a shell opening path for the sealing groove. The shell opening path is calculated in real time by the control module and transmitted to each joint of the robotic arm.

[0017] Preferably, the shell opening path is generated using an A path planning algorithm, which generates a robot arm motion path in real time according to the shape, position and size parameters of the headlight sealing groove. The path planning includes a starting point, a target point and continuous points between the shortest paths.

[0018] Preferably, the piezoelectric spraying equipment has a voltage regulating module and a pressure regulating module, the voltage regulating module controls the excitation voltage of the piezoelectric element to adjust the spraying amount, and the pressure regulating module controls the supply pressure of the sealing material to achieve control of the coating thickness.

[0019] Preferably, the infrared curing equipment includes a plurality of infrared emission modules and a temperature sensor. The temperature sensor collects temperature data of the surface of the sealing material in real time and transmits the data to a central control unit, which adjusts the power of each infrared emission module.

[0020] Preferably, the sensor network includes multiple temperature sensors, pressure sensors and humidity sensors, and the sensor network is connected to a central control unit via a wireless communication module. The central control unit dynamically adjusts the curing process of the sealing material based on the collected data so that the temperature, pressure and humidity parameters are maintained within a predetermined range during the curing process.

[0021] The present invention provides a shell opening and restoration process for heat treatment of automobile headlights. It has the following beneficial effects:

[0022] 1. The present invention can realize rapid and uniform heating of the headlamp sealing material by combining infrared heating equipment and induction heating device, and accurately control the temperature through PID control system to avoid overheating or uneven heating, thereby improving heating efficiency and heat treatment quality.

[0023] 2. The present invention uses an automated robotic arm combined with a visual recognition system to accurately identify the sealed parts of the headlight and perform the shell opening operation. The visual recognition system combined with a deep learning algorithm can recognize the three-dimensional information of the headlight in real time, achieve precise positioning and operation, and the robotic arm path planning adopts an A path planning algorithm, which can effectively optimize the shell opening path and ensure the accuracy and efficiency of the operation.

[0024] 3. The present invention adopts shape memory polymer as the intelligent responsive sealing material, which can automatically soften and restore to its original state under temperature changes, ensuring the reusability of the sealing material during multiple heat treatments. The addition of nano-silicon dioxide particles improves the mechanical properties and thermal stability of the sealing material, further improving the sealing quality and recovery effect.

[0025] 4. The present invention uses piezoelectric spraying equipment to apply glue to the sealing material, and can achieve precise control of the amount and thickness of glue applied by adjusting voltage and pressure, thereby ensuring the uniformity of the coating in the sealing groove, improving the sealing effect, reducing material waste, and improving the waterproofness and sealing performance of the headlight.

[0026] 5. The infrared curing equipment of the present invention can monitor the temperature of the sealing material in real time through multiple temperature sensors. The central control unit dynamically adjusts the power of the infrared emission module according to the collected data to ensure that the temperature of the sealing material during the curing process remains within the optimal range, thereby ensuring the stability and consistency of the curing effect.

[0027] 6. The present invention monitors key parameters such as temperature, pressure, and humidity in real time through a sensor network. Combined with the dynamic adjustment function of the central control unit, it can ensure that all parameters are within a predetermined range during the entire shell opening and restoration process, effectively improving the stability and controllability of the process and ensuring the high quality and reliability of the restoration process. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0029] 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.

[0030] Embodiment 1:

[0031] Please see attached Figure 1 The embodiment of the present invention provides a shell opening and restoration process for heat treatment of automobile headlights, including the following steps:

[0032] Step 1: Use an infrared heating device to heat the headlight sealing material. The infrared heating device includes a plurality of infrared emitters. The infrared emitters are arranged around the sealing position of the headlight to uniformly heat the sealing material to 80 to 100 degrees to soften the sealing material.

[0033] Step 2: Use an automated robotic arm in combination with a visual recognition system to identify the sealing part of the headlight and perform the opening operation of the headlight housing. The visual recognition system includes a high-definition camera and a deep learning algorithm.

[0034] Step 3: In the sealing groove of the headlight, the intelligent response type sealing material is applied by using a piezoelectric spraying device, wherein the piezoelectric spraying device has an adjustable nozzle opening area to control the spraying amount of the sealing material;

[0035] Step 4: Use infrared curing equipment to heat and cure the sealing material, the infrared curing equipment includes a temperature sensor and a heating control module;

[0036] Step 5: Monitor the temperature, pressure and sealing parameters of the curing process in real time through the sensor network, and the sensor network transmits the collected data signals to the central control unit through wireless data transmission.

[0037] In one embodiment, the infrared heating device is composed of a plurality of infrared emitters, which surround the sealing part of the headlight. When in operation, the infrared emitters are evenly distributed around the sealing material to ensure that the entire headlight sealing area is heated at the same time. By controlling the power output of the emitter, the temperature is controlled at 80°C to 100°C. During the heating process, the device sensor will continuously detect the temperature to ensure that the temperature is within the set range. Heating to this temperature range will soften the sealing material and make it enter a plastic state, which is convenient for the subsequent mechanical arm to open the shell; the visual recognition system is composed of a high-definition camera and a deep learning algorithm. The mechanical arm has the ability to move in multiple degrees of freedom. First, the image of the headlight sealing groove is captured by a high-definition camera, and the image is transmitted to the deep learning algorithm module for analysis to identify the specific position, shape and three-dimensional coordinate information of the sealing groove. According to the analysis results, the mechanical arm generates a shell opening path, and issues instructions through the controller to accurately perform the shell opening operation along the path. The operation of the automated mechanical arm avoids the errors caused by manual shell opening, and combines visual recognition technology to ensure the accuracy of shell opening. The piezoelectric spraying device is equipped with an adjustable nozzle and a spraying control module. In the headlight sealing groove, the piezoelectric spraying device is used to apply glue. According to the viscosity of the sealing material and the width of the sealing groove, adjust the opening area and pressure of the nozzle. During the spraying process, the control module will adjust the glue thickness and spraying amount in real time according to the glue coating requirements, accurately control the spraying amount of the sealing material, ensure the uniformity of the glue coating, and avoid poor sealing effect caused by too much or too little; the curing equipment includes an infrared emitter and a temperature sensor. After the glue coating is completed, the infrared curing equipment heats the sealing material. The temperature sensor monitors the temperature of the surface of the sealing material in real time. The equipment automatically adjusts the power of the infrared emission module according to the data to ensure that the temperature is always within the range required for material curing, and ensures that the temperature of the sealing material remains constant during the curing process to achieve the best curing effect. The sensor network includes multiple temperature, pressure and sealing monitoring sensors. The sensors are distributed in key process steps (such as heating, curing, etc.), collect parameter data in real time, and transmit the data to the central control unit through the wireless communication module to ensure that the operating conditions meet the preset requirements. If there is a deviation, the central control unit can automatically adjust the operating parameters of the relevant equipment according to the feedback to ensure that the temperature, pressure and sealing parameters of each link are kept within the preset range, and ensure the stability and reliability of the entire process.

[0038] Furthermore, the infrared heating equipment can achieve rapid and uniform heating of the sealing material, ensuring uniform softening of the material in the entire headlight sealing area. The heating temperature is controlled at 80 to 100 degrees, effectively avoiding overheating of the material or failure to reach the softening point, ensuring the subsequent shell opening operation is carried out smoothly. The visual recognition system combined with the deep learning algorithm can identify the three-dimensional shape of the headlight sealing groove and accurately locate the shell opening position. The automated robotic arm accurately performs the shell opening operation based on the recognition information, avoiding common errors in manual operation and significantly improving work efficiency and shell opening accuracy.

[0039] The infrared heating equipment also includes an induction heating device, which is installed in a local area of ​​the headlight sealing material for quickly heating the local sealing material; the infrared heating equipment and the induction heating device control the temperature through a PID control system, and the PID control system includes a proportional control module, an integral control module and a differential control module to automatically adjust the power of infrared and induction heating according to the deviation between the set temperature and the actual temperature.

[0040] In one embodiment, the induction heating device is installed in a local area of ​​the headlight sealing material and has a rapid heating function. During the heating process, the induction heating device is used for local rapid heating. The control system first identifies the area that needs to be locally heated and starts the induction heating module to quickly heat up the area. Compared with infrared heating, the advantage of induction heating is that it can achieve instantaneous high-temperature heating in a local area and accelerate the softening process of local materials; the PID (proportional-integral-differential) control system consists of three adjustment modules, which are used to adjust the output power of infrared and induction heating equipment according to the deviation of the heating temperature. First, the target temperature is set, and the PID control system monitors the actual temperature of the heating area in real time. When there is a difference between the actual temperature and the set value, the proportional adjustment module immediately adjusts the heating power according to the temperature difference, the integral module adjusts the heating trend according to the accumulated temperature difference, and the differential module compensates when the temperature changes rapidly to prevent overheating or excessive temperature fluctuations. The whole process is automated and continuous, ensuring precise temperature control.

[0041] Furthermore, through the PID control system, temperature changes are precisely controlled to ensure temperature stability during the heating process and avoid excessive fluctuations that affect the softening and curing effects of the sealing material.

[0042] The intelligent responsive sealing material is a shape memory polymer, which softens when the temperature rises to 85 to 100 degrees and recovers its original shape when cooled to 30 to 40 degrees. The shape memory polymer contains a main chain structure and a cross-linking structure to ensure that the shape memory function of the material is maintained during multiple heating and cooling processes.

[0043] In one embodiment, the shape memory polymer is a smart material that is temperature sensitive. When the temperature reaches 85°C to 100°C, it enters a softened state; when the temperature cools to 30°C to 40°C, the material returns to its original shape. During the shell opening operation, the sealing material (SMP) is heated and softened. As the operation ends and the material cools to ambient temperature, the shape memory polymer returns to its original form and re-forms a sealing structure. The main chain structure and cross-linking structure of the SMP ensure that the material still retains its memory properties during multiple heating and cooling cycles.

[0044] In step 4, nano-silica particles are evenly distributed in the shape memory polymer, the particle size of the nano-silica particles ranges from 10nm to 50nm, and the nano-particles are connected to the shape memory polymer matrix by chemical cross-linking; the automated robotic arm includes a multi-degree-of-freedom robotic arm assembly and a control module. The control module obtains the three-dimensional position information of the headlight through a visual recognition system to generate a shell opening path for the sealing groove. The shell opening path is calculated in real time by the control module and transmitted to each joint of the robotic arm.

[0045] In one embodiment, nano-silica particles are evenly distributed in the shape memory polymer, and the particle size of these particles ranges from 10nm to 50nm. Through chemical cross-linking, the silica particles are tightly connected to the SMP matrix structure. When manufacturing the shape memory polymer, the nano-silica particles are evenly mixed into the polymer to form a strong cross-linked structure. In actual use, these nanoparticles can enhance the mechanical strength and wear resistance of the material, and prevent the sealing material from fatigue or aging during long-term high-temperature operation. This improved material has better mechanical strength and thermal stability, which extends the service life of the headlight sealing material and ensures that it can maintain efficient sealing performance during multiple heat treatments.

[0046] The shell opening path is generated using the A path planning algorithm. The A path planning algorithm generates the robot arm motion path in real time based on the shape, position and size parameters of the headlight sealing groove. The path planning includes the starting point, target point and continuous points between the shortest paths.

[0047] In one embodiment, the robot arm has multi-degree-of-freedom motion capability, and can accurately perform the headlight shell opening operation in combination with the control module and the visual recognition system. First, the three-dimensional shape of the headlight and the specific position of the sealing groove are captured by the visual recognition system, and the control module generates the best shell opening path based on the recognized data. In actual operation, the joints of the robot arm coordinate actions according to the path information to ensure that the robot arm accurately opens the shell according to the planned path. Through the three-dimensional recognition of the visual system and the high-precision control of the robot arm, errors in manual operation are avoided, and the sealing material is ensured not to be damaged due to excessive force. The A path planning algorithm is a path planning algorithm commonly used for navigation, which can generate the shortest path in real time according to the starting point, the target point and the obstacles in the middle. In the present invention, the A path planning algorithm calculates the movement path of the robot arm in real time according to the shape, size and position parameters of the headlight sealing groove. During the execution process, the algorithm is constantly dynamically adjusted according to the current position and target point to ensure that the robot arm completes the shell opening operation with the optimal path and the shortest distance.

[0048] The piezoelectric spraying equipment has a voltage regulating module and a pressure regulating module. The voltage regulating module controls the excitation voltage of the piezoelectric element to adjust the spraying amount, and the pressure regulating module controls the supply pressure of the sealing material to achieve control of the coating thickness.

[0049] In one embodiment, the piezoelectric spraying device controls the spraying amount by voltage regulation and controls the supply pressure of the sealing material by the pressure regulating module. When spraying, the device first adjusts the voltage of the excitation piezoelectric element to determine the spraying amount according to the demand for the glue coating thickness. Then, the pressure of the supply material is controlled by the pressure regulating module to ensure that the glue coating thickness in the sealing groove is uniform and meets the preset standard. The controller dynamically adjusts the pressure and voltage according to real-time feedback to avoid over- or under-spraying. This precise control method ensures uniform coating of the sealing material, improves the sealing performance of the headlights, and reduces material waste.

[0050] The infrared curing equipment includes multiple infrared emission modules and temperature sensors. The temperature sensors collect temperature data on the surface of the sealing material in real time and transmit the data to the central control unit, which adjusts the power of each infrared emission module.

[0051] In one embodiment, the infrared curing equipment is equipped with multiple infrared emission modules and temperature sensors for real-time acquisition of temperature data on the surface of the sealing material. After the sealing material is applied, the infrared curing equipment is started. The temperature sensor continuously monitors the temperature on the surface of the sealing material and transmits the data to the central control unit. According to the temperature data, the central control unit dynamically adjusts the power of the infrared emission module to ensure that the temperature of the sealing material is stable and uniform during the curing process. This real-time temperature control can effectively prevent uneven curing of the material, ensure the curing quality, and improve the long-term sealing performance of the material.

[0052] The sensor network includes multiple temperature sensors, pressure sensors and humidity sensors. The sensor network is connected to the central control unit through a wireless communication module. The central control unit dynamically adjusts the curing process of the sealing material based on the collected data to keep the temperature, pressure and humidity parameters within a predetermined range during the curing process.

[0053] In one embodiment, the sensor network includes temperature, pressure and humidity sensors, and the data is transmitted to the central control unit through the wireless communication module. During the entire shell opening and recovery process, the sensor network continuously monitors the key parameters of each process step (such as temperature, pressure, and humidity). The central control unit adjusts the equipment parameters according to the sensor data. For example, if the temperature is higher than the set range, the control unit will reduce the power of the infrared emission module; if the pressure is insufficient, the system will increase the heating pressure to ensure that all process parameters are maintained within the ideal range. Through real-time monitoring and feedback adjustment of the wireless sensor network, the process is more accurate and automated, which improves the overall process stability and product quality consistency.

[0054] In a preferred embodiment, a multimodal perception and prediction control system based on an AI algorithm

[0055] On the basis of the existing visual recognition system and path planning algorithm, a multimodal perception system based on artificial intelligence (AI) is introduced, and combined with a predictive control algorithm, to achieve more precise dynamic adjustment during the opening and restoration of the headlights; Multimodal perception system:

[0056] Functional improvement: Based on the existing high-definition camera and visual recognition system, a thermal imaging camera and force feedback sensor are added to form a multi-modal perception system. The thermal imaging camera captures the temperature distribution of the headlight sealing groove area in real time, and the force feedback sensor measures the force of the robot arm when performing the shell opening operation in real time.

[0057] Function: The thermal imaging camera can further optimize the control of heating and shell opening, ensuring that the sealing material softens at the most appropriate temperature to avoid local overheating or overcooling. The force feedback sensor provides real-time mechanical data to help adjust the force of the robotic arm to avoid damage to the sealing material or excessive error of the robotic arm due to improper force during the shell opening process.

[0058] AI predictive control algorithm:

[0059] Functional improvement: Add AI predictive control algorithm in the shell opening and restoration process. Through big data and historical operation data, the AI ​​algorithm can predict potential risks or process deviations before each operation, and correct equipment parameters in advance through feedback adjustment. For example, predict the force feedback changes of the robot arm in some complex headlight geometric structures, and adjust the movement path or force intensity of the robot arm in advance.

[0060] Function: AI predictive control algorithms can predictively adjust process conditions, further reduce errors or abnormalities in the process, and improve the overall stability and efficiency of the process.

[0061] In a preferred embodiment, a closed-loop adaptive control system is combined with a self-healing sealing material.

[0062] On the basis of existing infrared heating, piezoelectric spraying and infrared curing, a closed-loop adaptive control system and self-healing sealing materials are added to enhance the self-healing ability of the sealing materials and achieve more efficient heating and gluing control;

[0063] Closed-loop adaptive control system:

[0064] Functional improvement: The existing sensor network can collect temperature, pressure, humidity and other parameters in real time, and improve it into a closed-loop adaptive control system. The system can continuously adjust process parameters through real-time feedback data, for example: automatically adjust the power output of the infrared emitter according to the real-time temperature of the sealing material; adjust the nozzle opening according to the real-time feedback of the spraying thickness to control the amount and thickness of glue.

[0065] The closed-loop system intelligently adjusts process parameters based on real-time feedback data from each step to ensure that process parameters are always in the optimal state under different material and temperature conditions. The system can also optimize control strategies through learning and adaptive adjustment to further improve overall production efficiency.

[0066] Application of self-healing sealing materials:

[0067] Functional improvement: On the basis of shape memory polymer, materials with self-healing ability are added. The self-healing material contains a microcapsule structure. When the material is slightly damaged or cracked, the repair fluid in the microcapsule will flow out and fill the damaged area, thereby restoring the sealing performance of the material.

[0068] Self-healing sealing materials can automatically repair tiny cracks or damage during use, greatly improving the durability of the sealing material and extending its service life. Even if minor damage occurs during the shell opening and restoration process, the material can self-repair to ensure that the sealing effect is not affected.

[0069] Comparative Example 1:

[0070] In the existing automobile headlight shell opening and restoration process, the following technical solutions are usually adopted:

[0071] Heating method: In traditional processes, resistance heating or hot air heating is often used. These heating methods generally heat the sealing material of the headlight through external air, and the temperature range is relatively large, usually between 80℃ and 120℃.

[0072] Shell opening operation: Manual or semi-automatic mechanical equipment is used for shell opening operation. Usually, the operator judges the softening degree of the sealing material based on experience, and manually uses a knife or a simple robotic arm to cut and open the sealing material.

[0073] Gluing and sealing: During the gluing stage, the sealing material is usually applied manually or with ordinary spraying equipment, and the control of the spraying amount and glue thickness depends on the operator's experience.

[0074] Curing process: Traditional curing methods mainly use natural air curing or heating box curing, which takes a long time, generally 30 minutes to 1 hour.

[0075] Process control: Most of the parameters such as temperature and pressure in the entire process rely on manual monitoring. The degree of automation of the process is low, and there is usually no real-time data feedback and automatic adjustment system.

[0076] Compare Projects Comparative Example 1 Embodiment 1 Heating temperature fluctuation range ±10℃ ±2℃ Heating time 20-30 minutes 10-15 minutes Shell opening accuracy 1-5mm Less than 1mm Glue coating uniformity Relying on manual labor, large errors Glue coating thickness error ±10%

[0077] Table 1

[0078] This table shows the differences between the existing technical solutions and the embodiments of the present invention in terms of heating, shell opening, glue coating and production efficiency by comparing key process indicators. Embodiment 1 has significant improvements in automation, accuracy and efficiency, and achieves more precise control and higher production efficiency through closed-loop control systems and AI prediction technology.

[0079] 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. The shell opening and restoration process of automobile headlight heat treatment is characterized by: The following steps are involved: Step 1: Use an infrared heating device to heat the headlight sealing material, wherein the infrared heating device includes a plurality of infrared emitters, and the infrared emitters are arranged around the sealing position of the headlight to uniformly heat the sealing material to 80 degrees to 100 degrees to soften the sealing material; Step 2: using an automated robotic arm in combination with a visual recognition system to identify the sealing part of the headlight and perform an opening operation on the headlight housing, wherein the visual recognition system includes a high-definition camera and a deep learning algorithm; Step 3: In the sealing groove of the headlight, a piezoelectric spraying device is used to apply glue to the intelligent response type sealing material, wherein the piezoelectric spraying device has an adjustable nozzle opening area to control the spraying amount of the sealing material; Step 4: using an infrared curing device to heat and cure the sealing material, wherein the infrared curing device includes a temperature sensor and a heating control module; Step 5: Monitor the temperature, pressure and sealing parameters of the curing process in real time through a sensor network, and the sensor network transmits the collected data signals to a central control unit through wireless data transmission.

2. The shell opening and restoration process of automobile headlight heat treatment according to claim 1, characterized in that: The infrared heating device further comprises an induction heating device, which is installed in a local area of ​​the headlamp sealing material and is used to quickly heat the local sealing material.

3. The shell opening and restoration process of automobile headlight heat treatment according to claim 1, characterized in that: The infrared heating equipment and induction heating device control the temperature through a PID control system, and the PID control system includes a proportional adjustment module, an integral adjustment module and a differential adjustment module to automatically adjust the power of infrared and induction heating according to the deviation between the set temperature and the actual temperature.

4. The process for opening and restoring the automobile headlight by heat treatment according to claim 1, characterized in that: The smart responsive sealing material is a shape memory polymer, which softens when the temperature rises to 85 to 100 degrees and recovers its original shape when cooled to 30 to 40 degrees. The shape memory polymer contains a main chain structure and a cross-linking structure to ensure that the shape memory function of the material is maintained during multiple heating and cooling processes.

5. The shell opening and restoration process for heat treatment of automobile headlights according to claim 1, characterized in that: In the step 4, nano-silicon dioxide particles are uniformly distributed in the shape memory polymer, the particle size of the nano-silicon dioxide particles ranges from 10 nm to 50 nm, and the nano-particles are connected to the shape memory polymer matrix by chemical cross-linking.

6. The shell opening and restoration process of automobile headlight heat treatment according to claim 1, characterized in that: The automated robotic arm includes a multi-degree-of-freedom robotic arm assembly and a control module. The control module obtains the three-dimensional position information of the headlight through a visual recognition system to generate a shell opening path for the sealing groove. The shell opening path is calculated in real time by the control module and transmitted to each joint of the robotic arm.

7. The shell opening and restoration process of automobile headlight heat treatment according to claim 1, characterized in that: The shell opening path is generated using an A path planning algorithm, which generates a robot arm motion path in real time according to the shape, position and size parameters of the headlight sealing groove. The path planning includes a starting point, a target point and continuous points between the shortest paths.

8. The process for opening and restoring the automobile headlight by heat treatment according to claim 1, characterized in that: The piezoelectric spraying device comprises a voltage regulating module and a pressure regulating module. The voltage regulating module controls the excitation voltage of the piezoelectric element to adjust the spraying amount, and the pressure regulating module controls the supply pressure of the sealing material to achieve control of the coating thickness.

9. The shell opening and restoration process of automobile headlight heat treatment according to claim 1, characterized in that: The infrared curing equipment includes a plurality of infrared emission modules and a temperature sensor. The temperature sensor collects temperature data of the surface of the sealing material in real time and transmits the data to a central control unit, which adjusts the power of each infrared emission module.

10. The shell opening and restoration process of automobile headlight heat treatment according to claim 1, characterized in that: The sensor network includes multiple temperature sensors, pressure sensors and humidity sensors. The sensor network is connected to a central control unit via a wireless communication module. The central control unit dynamically adjusts the curing process of the sealing material based on the collected data so that the temperature, pressure and humidity parameters are maintained within a predetermined range during the curing process.

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