Automatic heat pipe radiator production equipment and process thereof

Abstract

The invention discloses automatic heat pipe radiator production equipment and a process thereof. The automatic heat pipe radiator production equipment comprises machining equipment, a conveying device, a feeding and discharging device and an intelligent control system. The machining equipment sequentially completes blanking, groove machining, press fitting, gluing, CNC machining, surface treatment, marking and detection operation. The control system integrates AI scheduling, visual identification, adaptive parameter adjustment and a man-machine interaction module, and realizes equipment state perception, task optimization, parameter adjustment and remote control. Through full-process automatic conveying and closed-loop control, the manufacturing efficiency, precision and consistency of the radiator are improved, and the automatic production line is suitable for a multi-variety and large-batch intelligent production scene.

Description

Technical Field

[0001] The present invention relates to production equipment and a process for automatic heat pipe radiators. Background Art

[0002] With the continuous improvement of electronic device integration and the significant increase in heat dissipation density, heat pipe radiators, as a high-efficiency thermal management solution, have been widely used in high-performance computing, communication base stations, power batteries, and emerging energy fields. However, faced with the market's continued demand for large-scale, personalized, high-quality heat pipe radiators, the existing radiator production system still lags behind in terms of "intelligence", making it difficult to meet the dual requirements of high efficiency and high consistency in modern manufacturing environments.

[0003] Traditional heat pipe radiator production lines typically utilize a multi-station tandem model, with each processing unit operating independently. Manual loading and unloading is frequent, the cycle time relies on empirical scheduling, and there is a lack of systematic collaborative control mechanisms. This model not only limits production efficiency but also suffers from significant shortcomings in process parameter management, quality stability, and information traceability, severely restricting product consistency and the path to industrial upgrading. Especially during the switching between multiple models and the processing of complex structural products, fluctuations in any part of the process can cause a misalignment of the entire line cycle or even a shutdown, impacting overall production capacity.

[0004] The development of intelligent manufacturing has introduced "autonomous perception, dynamic decision-making, closed-loop control, and real-time interaction" as core capabilities into various key equipment. Heat pipe radiator manufacturing, as a multidisciplinary system engineering project involving machining, gluing and assembly, thermal conductivity design, and precision positioning, is naturally suitable for upgrading and transformation using intelligent technologies. However, most companies' production lines currently lack intelligent modules such as AI visual recognition, AI scheduling optimization, and adaptive process parameter adjustment, hindering the implementation of key capabilities such as equipment operating status awareness, dynamic task allocation, and closed-loop feedback of quality data.

[0005] Furthermore, traditional equipment lacks data collection and edge analytics, resulting in a lack of predictive maintenance and fault warning capabilities. This makes it difficult to respond promptly to anomalies, impacting stable equipment operation. The lack of integrated interfaces with upper-level MES and ERP systems disrupts the information chain throughout the manufacturing process, making it difficult for managers to obtain real-time production status and precise scheduling, hindering the development of "digital factories" and "smart workshops."

[0006] Therefore, there is an urgent need to propose a heat pipe radiator production equipment and process system with high automation and intelligent integration capabilities. The system should achieve comprehensive intelligent collaboration in key links such as process execution, logistics scheduling, equipment control, data identification, information closure and human-computer interaction to support the construction of a high-quality, high-efficiency and high-flexibility intelligent manufacturing system, and promote the deep transformation of the thermal management manufacturing industry towards digitalization, networking and intelligence. Summary of the Invention

[0007] The purpose of the present invention is to solve the above deficiencies in the prior art and to provide a die-cutting device with an automatic calibration function.

[0008] An automated heat pipe radiator production device, comprising:

[0009] Multiple processing equipment arranged in sequence are used to complete operations such as cutting, processing, cleaning, pressing, gluing, marking, and testing of radiator workpieces according to a predetermined process flow;

[0010] A transport device for automatically transporting workpieces between the processing equipment;

[0011] A loading and unloading device is provided between the processing equipment and the transport device, and is used to automatically load and unload workpieces;

[0012] A control system for controlling the coordinated operation of the processing equipment, the transport device, and the loading and unloading device to achieve full-process automated processing of the radiator workpiece;

[0013] It is characterized in that the control system is configured to uniformly manage the processing status, task scheduling and information interaction of the entire production line, and realize automatic coordination and information closed-loop control between each processing step.

[0014] Furthermore, the processing equipment includes:

[0015] Blanking equipment, used to segment the radiator raw materials into sections according to preset sizes;

[0016] Groove processing equipment, used to process structural grooves on the radiator base;

[0017] Pre-pressing pipe equipment and pipe pressing equipment are used to position, pre-press and fix components such as heat pipes;

[0018] Glue coating equipment, used to apply thermal conductive glue to designated processing parts;

[0019] Multiple CNC processing equipment, including CNC reverse processing machine, CNC front processing machine, CNC side processing machine and CNC side 2 processing machine, are used to complete the multi-faceted precision processing of the radiator structure;

[0020] Surface treatment equipment, used for cleaning, electrolysis, passivation and other surface treatments on the processed radiator;

[0021] Laser marking equipment, used to mark identification codes on the surface of workpieces;

[0022] Inspection equipment is used to inspect the workpiece for surface defects, flatness, thickness and other quality issues.

[0023] Furthermore, the control system includes an AI scheduling optimization module, which is deployed in the central control unit and is used to dynamically generate a scheduling path and control the transportation device to complete the orderly transfer of workpieces based on the operating status and load of tasks to be processed of the multiple CNC processing equipment, pressing equipment and gluing equipment.

[0024] Furthermore, the control system includes an AI visual recognition module, which is deployed in the loading and unloading devices corresponding to the unloading equipment, gluing equipment, CNC processing equipment and testing equipment, and is used to identify the spatial posture, processing contour, defect location and marking area of ​​the workpiece, and assist the robotic arm to complete grasping, placement and detection operations.

[0025] Furthermore, the module is deployed in the CNC processing equipment, pressing equipment and transportation device to collect operating status data in real time, predict potential faults based on historical models and provide early warning information.

[0026] Furthermore, the control system includes a process parameter adaptive module, which is connected to the CNC processing equipment, glue coating equipment and pressing equipment, and dynamically adjusts the process parameters of processing speed, pressure or glue amount according to the quality data fed back by the detection equipment.

[0027] Furthermore, the control system includes an intelligent human-computer interaction module, which is installed in the central operating console and the remote terminal, supports voice commands and mobile terminal remote control, and displays the operating status and alarm information of each processing equipment in real time.

[0028] Furthermore, the transport device includes a slide rail handling system and / or an automatic guided vehicle (AGV), each transport node is equipped with a positioning identification module, and the transport device is connected to an AI scheduling optimization module to realize automatic delivery of workpieces along a dynamic path.

[0029] Furthermore, the loading and unloading device includes a multi-axis robotic arm, the end of which is equipped with a clamp and a visual recognition device. The loading and unloading device is respectively connected to the AI ​​visual recognition module and the process parameter adaptive module to realize workpiece grasping posture recognition, placement accuracy control and clamping force adjustment.

[0030] The production process using the production equipment according to claim 1 is characterized in that it includes the following steps:

[0031] Step 1: Cutting the raw material into workpieces to be processed according to the preset size by the cutting equipment;

[0032] Step 2: Groove processing: The workpiece is transferred to the groove processing equipment, and the structural groove is precisely processed by the CNC slot machine;

[0033] Step 3: First cleaning and drying: Send the workpiece into the cleaning device to complete the cleaning and hot air drying of the processing residue;

[0034] Step 4: Pre-pressing and pressing the pipe: Use the press-fitting equipment to position the heat pipe component and press it into the workpiece slot;

[0035] Step 5: Gluing: Spray thermal conductive glue on the workpiece joint surface, and the glue coating device completes the path recognition and glue application;

[0036] Step 6: CNC machining: complete back side machining, front side machining, first side machining and second side machining respectively;

[0037] Step 7: Surface treatment: Electrolysis, spraying or passivation treatment is performed on the processed workpiece to improve the surface properties;

[0038] Step 8: Second cleaning and drying: Clean and dry again to ensure cleanliness in subsequent processes;

[0039] Step 9: Laser marking: Laser mark the radiator workpiece to form unique identification information;

[0040] Step 10: Inspection and packaging: The workpiece is inspected for appearance, size, flatness and other quality issues. Qualified products are packaged and put into storage.

[0041] Each step is completed by docking and transferring between corresponding processing equipment through automatic conveying devices and loading and unloading robotic arms, and real-time scheduling and coordination are achieved through a unified control system to achieve unmanned automatic operation of the entire radiator production process.

[0042] Beneficial effects: Compared with the prior art, the present invention has the following advantages:

[0043] By building a highly integrated production system driven by AI intelligent modules, we have achieved unmanned processing throughout the entire process, from raw material unloading to finished product inspection and packaging. Compared to traditional production lines, this system significantly improves the automation level and responsiveness of process execution, completely eliminating the uncertainty caused by manual intervention on production cycle time and product quality, and significantly enhancing the system's stability and reliability.

[0044] The control system of this invention integrates multiple intelligent functional units, including an AI scheduling and optimization module, an AI visual recognition module, a process parameter adaptation module, and an intelligent human-computer interaction module. This enables real-time perception of equipment operating status, dynamic scheduling of task paths, intelligent adjustment of process parameters, and rapid determination of product quality. These modules form a closed-loop control logic. Through deep linkage with the transportation system, processing equipment, and detection systems, the entire production line possesses intelligent operational capabilities of self-learning, self-optimization, and self-recovery, significantly improving production efficiency and response speed.

[0045] In particular, AI visual recognition, combined with a multi-axis robotic arm, enables precise identification and motion control of workpiece posture, defects, and marked areas. This not only ensures operational precision at every step, but also reduces the risk of collision between the equipment and the workpiece, improving the safety and precision of automated operations. Combined with a process parameter adaptation module, parameters are adjusted in real time based on inspection feedback, further enabling refined process management and improved product consistency.

[0046] Furthermore, this invention supports remote operation and intelligent display capabilities. Operators can monitor production line status in real time through a central operating terminal or mobile device, respond to faults, adjust tasks, and manage data. This significantly enhances management efficiency and responsiveness, providing an interface foundation for integrating remote collaborative manufacturing with the Industrial Internet. This overall solution meets the core requirements of Industry 4.0 for a closed-loop intelligent "perception-control-optimization-execution" model and represents a crucial technical path for achieving intelligent upgrades and industrial transformation within the thermal management manufacturing industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is the logic block diagram of the control system;

[0048] Figure 2 It is a flow chart of the production process. DETAILED DESCRIPTION

[0049] In order to deepen the understanding of the present invention, the present invention will be further described in detail below with reference to embodiments and drawings. The embodiments are only used to explain the present invention and do not constitute a limitation on the scope of protection of the present invention.

[0050] A production equipment for automated heat pipe radiators, comprising a plurality of processing equipment arranged in sequence, for completing operations such as blanking, processing, cleaning, pressing, gluing, marking, and testing of radiator workpieces in accordance with a predetermined process flow; a transport device for automatically conveying workpieces between the processing equipment; a loading and unloading device arranged between the processing equipment and the transport device for automatically loading and unloading workpieces; a control system for controlling the coordinated operation of the processing equipment, the transport device, and the loading and unloading device to achieve full-process automated processing of radiator workpieces; wherein the control system is configured to uniformly manage the processing status, task scheduling, and information interaction of the entire production line, and to achieve automatic coordination and information closed-loop control between each processing step.

[0051] This implementation method is based on a multi-unit integrated automation architecture, in which multiple processing equipment are arranged in a predetermined order, each undertaking different processing tasks. The transport device uses a slide rail system or an automatic guided vehicle to transfer workpieces between the devices, ensuring the continuous flow of materials on the spatial path. The loading and unloading device is deployed between each processing unit and the transport node, and usually uses a multi-axis robotic arm in conjunction with a visual recognition system to achieve precise grasping and placement of the workpiece. The entire system is coordinated by a centralized control system, the core of which includes tasks scheduling, path planning, processing information management and equipment control functions. The control system dynamically allocates production tasks by collecting the operating status of each device and the processing node information, achieving time matching and process coordination between the various processes, and using the information closed-loop control mode to ensure that the data of each processing link can be fed back to the upper system for subsequent adjustment and tracking.

[0052] This invention significantly improves the processing efficiency and quality stability of radiator products. First, automated processes replace traditional manual operations, reducing labor costs and operational errors. Second, the transport device works in conjunction with the loading and unloading system to achieve a non-dropping transport method for workpieces, reducing possible contamination or collisions during handling. Third, the centralized control system achieves dynamic scheduling of each process through information integration and task collaborative optimization, avoiding equipment idling and bottlenecks, and improving the rhythm coordination and resource utilization of the entire line. In addition, the information closed-loop mechanism provides technical support for product quality traceability and preventive equipment maintenance, enhancing the predictability and stability of system operation.

[0053] In one possible embodiment, the processing equipment includes: a blanking device for segmenting the radiator raw materials according to preset sizes; a groove processing device for processing structural grooves on the radiator base; a pre-pressing tube device and a pressing tube device for positioning, pre-pressing and fixing components such as heat pipes; a gluing device for applying thermal conductive glue to designated processing locations; a plurality of CNC processing equipment, including a CNC reverse processing machine, a CNC front processing machine, a CNC side processing machine and a CNC side 2 processing machine, for completing multi-sided precision processing of the radiator structure; a surface treatment device for performing surface treatments such as cleaning, electrolysis, and passivation on the processed radiator; a laser engraving marking device for marking an identification code on the surface of the workpiece; and a detection device for performing quality detection on the workpiece such as surface defects, flatness, and thickness.

[0054] Under the unified control of the control system, this implementation divides the machining process into several detailed steps, with each dedicated piece of equipment taking on a corresponding task. Raw materials are first cut into processing sections by blanking equipment, then transferred to slot processing equipment for structural slotting. Heat pipe components are positioned and press-fitted sequentially by pre-pressing and pressing equipment. Thermal adhesive is applied by a coating device according to the process path. Four types of CNC machining equipment are responsible for machining the back, front, and multiple sides of the workpiece, achieving precise spatial structure formation. Surface treatment equipment performs cleaning, electrolysis, and passivation operations to improve product performance. Laser marking equipment uses laser engraving technology to create a unique identification code on the workpiece surface. Finally, inspection equipment conducts a quality assessment of the workpiece's appearance, thickness, flatness, and other aspects, providing a basis for subsequent circulation and warehousing.

[0055] This configuration solution refines each machining process, avoiding efficiency bottlenecks caused by centralized tasks and ensuring machining accuracy and product consistency. By breaking down complex CNC machining processes into surface-by-surface sections, machining efficiency and yield rates are significantly improved. Independent marking and inspection equipment ensure traceability and real-time quality control for each workpiece. Modular equipment configuration also facilitates production line expansion and maintenance, improving overall equipment utilization and system maintainability.

[0056] In one possible embodiment, the control system includes an AI scheduling optimization module deployed in the central control unit, which is used to dynamically generate a scheduling path and control the transportation device to complete the orderly transfer of workpieces based on the operating status and load of tasks to be processed of the multiple CNC processing equipment, pressing equipment and gluing equipment.

[0057] The AI ​​scheduling optimization module collects real-time data on the current status, task queues, and historical processing efficiency of CNC processing equipment, press-fitting equipment, and gluing equipment to build a task load model. It then generates optimal scheduling instructions based on the workpiece processing sequence and transportation path nodes. This module is embedded in the central control unit, and its instructions directly control transportation devices such as AGVs or slide systems, ensuring efficient, rhythmic movement of workpieces along optimized paths.

[0058] The AI ​​scheduling optimization module effectively reduces equipment downtime and resource conflicts, enabling smoother production line operations and improving overall production cycle matching efficiency. Through intelligent path planning and dynamic task adjustments, the system provides more flexible operational responses, making it particularly suitable for mixed-line production of high-volume, multi-variety radiator parts.

[0059] In one possible embodiment, the control system includes an AI visual recognition module, which is deployed in the loading and unloading devices corresponding to the unloading equipment, gluing equipment, CNC processing equipment and detection equipment, and is used to identify the spatial posture, processing contour, defect location and marking area of ​​the workpiece, and assist the robotic arm to complete grasping, placement and detection operations.

[0060] The AI ​​visual recognition module leverages industrial cameras and deep image processing algorithms to automatically capture the workpiece's 3D posture and edge profile information before it enters the machine, correcting misalignment and identifying processing areas. For gluing and marking operations, it can also identify specific contour features to precisely locate the path. The defect recognition function uses image classification models to determine whether the workpiece surface contains abnormalities such as scratches and pits, assisting with quality inspection.

[0061] The AI ​​visual recognition module significantly enhances the intelligence of loading, unloading, and inspection processes. Its introduction prevents problems such as misplaced or misplaced parts by the robotic arm, improving operational precision and process consistency. It also eliminates workpieces with obvious defects at the front end of the process, reducing the burden on subsequent steps and ensuring overall product quality.

[0062] In a possible implementation, the module is deployed in the CNC processing equipment, pressing equipment, and transportation device to collect operating status data in real time, predict potential failures based on historical models, and provide early warning information.

[0063] This module relies on sensors and edge data acquisition devices to continuously monitor the operating status parameters of key equipment components (such as vibration, temperature, and current load), and compares and analyzes these parameters with historical fault data models. If a trend signal deviates from the normal range is detected, an early warning message is immediately generated and pushed to the central control system and operation and maintenance terminal.

[0064] This module strengthens the predictive maintenance capabilities of production line equipment, reducing production line downtime caused by sudden failures and extending the service life of critical equipment. Data-driven fault prediction helps form an equipment management strategy of "pre-emptive prevention and in-process control," improving the stability and continuous operation of the entire system.

[0065] In one possible embodiment, the control system includes a process parameter adaptive module, which is connected to the CNC processing equipment, glue coating equipment and pressing equipment, and dynamically adjusts the process parameters of processing speed, pressure or glue amount according to the quality data fed back by the detection equipment.

[0066] The process parameter adaptation module receives quality assessment results from processed products through a data interface with testing equipment and establishes a closed feedback loop. If the test data deviates from the standard range, the module automatically adjusts the processing parameters of the corresponding equipment, such as reducing the CNC processing speed, increasing or decreasing the glue flow rate, or adjusting the press pressure, to eliminate quality fluctuations between batches.

[0067] This module implements closed-loop control and dynamic optimization of the process, improving heat sink process consistency and reducing scrap rates. Adaptive parameter control enables the system to address the impact of material differences or environmental changes on processing results, thereby ensuring product quality stability over long periods of operation.

[0068] In one possible embodiment, the control system includes an intelligent human-computer interaction module, which is installed in the central operating console and the remote terminal, supports voice commands and mobile terminal remote control, and displays the operating status and alarm information of each processing equipment in real time.

[0069] The intelligent human-machine interaction module integrates with the central control system's data interface to synchronize information between local and mobile terminals. Operators can remotely query the operating status, task schedules, and alarm information of each device through voice commands or a graphical interface, and can also execute remote control commands such as start, pause, and mode switching.

[0070] This module significantly improves operational convenience and system visualization, supports remote supervision, rapid fault location and remote disposal, meets the development trend of "fewer people on duty" and "remote collaboration" in modern industry, and enhances equipment management efficiency and operational flexibility.

[0071] In one possible embodiment, the transport device includes a slide rail handling system and / or an automatic guided vehicle (AGV), each transport node is equipped with a positioning identification module, and the transport device is connected to an AI scheduling optimization module to realize automatic delivery of workpieces along a dynamic path.

[0072] AGVs and rail systems operate according to instructions from the AI ​​scheduling module, handling short-distance and cross-regional transport tasks, respectively. Each key transport node is equipped with a positioning and recognition module, which uses QR codes, vision, laser, and other methods to identify workpieces and their destinations, ensuring that each workpiece is delivered to the next processing unit according to the production rhythm.

[0073] Based on the realization of fully automatic logistics connection, this transportation system shortens the handling time, improves the matching degree of production rhythm, and effectively reduces the waiting and accumulation caused by logistics bottlenecks through dynamic path planning and multi-device collaboration.

[0074] In one possible embodiment, the loading and unloading device includes a multi-axis robotic arm, at the end of which is equipped with a clamp and a visual recognition device. The loading and unloading device is respectively connected to an AI visual recognition module and a process parameter adaptation module to realize workpiece grasping posture recognition, placement accuracy control and clamping force adjustment.

[0075] The multi-axis robotic arm, aided by a vision system, identifies the workpiece's spatial coordinates and adjusts the gripper's posture. Pressure sensors control gripping force to ensure gripping accuracy and workpiece surface safety. A process parameter feedback mechanism helps adaptively adjust the gripping strategy based on varying workpiece structures and materials, preventing deformation or slippage.

[0076] This device improves the intelligence and flexibility of loading and unloading operations, can effectively adapt to workpieces of different specifications and multiple types of operation tasks, ensures placement accuracy and process safety, and is an important basic unit for realizing flexible manufacturing and man-less positions.

[0077] In one possible embodiment, the production process of the production equipment described in claim 1 includes the following steps: Step 1: blanking of the substrate; Step 2: groove processing; Step 3: first cleaning and drying; Step 4: pre-pressing the tube and pressing the tube; Step 5: gluing; Step 6: CNC processing; Step 7: surface treatment; Step 8: second cleaning and drying; Step 9: laser marking; Step 10: inspection and packaging; each step is completed by docking and transfer between the corresponding processing equipment through an automatic conveying device and a loading and unloading robotic arm, and through real-time scheduling and coordination of a unified control system, unmanned automatic operation of the entire radiator production process is realized.

[0078] Each process step unfolds sequentially along the production line layout, with workpieces automatically transferred between each process step by a transport system. Loading and unloading are performed by a multi-axis robotic arm, coupled with a vision system, precisely performing pick-and-place operations. The control system dynamically schedules all equipment and processes, controlling the process cadence. After each process step, it collects quality and process data for feedback, supporting subsequent adaptive process adjustments and traceability management, enabling unmanned continuous production.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An automated heat pipe radiator production equipment, characterized in that: include: Multiple processing equipment arranged in sequence are used to complete operations such as cutting, processing, cleaning, pressing, gluing, marking, and testing of radiator workpieces according to a predetermined process flow; A transport device for automatically transporting workpieces between the processing equipment; A loading and unloading device is provided between the processing equipment and the transport device, and is used to automatically load and unload workpieces; A control system for controlling the coordinated operation of the processing equipment, the transport device, and the loading and unloading device to achieve full-process automated processing of the radiator workpiece; It is characterized in that the control system is configured to uniformly manage the processing status, task scheduling and information interaction of the entire production line, and realize automatic coordination and information closed-loop control between each processing step.

2. The production equipment according to claim 1, characterized in that The processing equipment includes: Blanking equipment, used to segment the radiator raw materials into sections according to preset sizes; Groove processing equipment, used to process structural grooves on the radiator base; Pre-pressing pipe equipment and pipe pressing equipment are used to position, pre-press and fix components such as heat pipes; Glue coating equipment, used to apply thermal conductive glue to designated processing parts; Multiple CNC processing equipment, including CNC reverse processing machine, CNC front processing machine, CNC side processing machine and CNC side 2 processing machine, are used to complete the multi-faceted precision processing of the radiator structure; Surface treatment equipment, used for cleaning, electrolysis, passivation and other surface treatments on the processed radiator; Laser marking equipment, used to mark identification codes on the surface of workpieces; Inspection equipment is used to inspect the workpiece for surface defects, flatness, thickness and other quality issues.

3. The production equipment according to claim 2, characterized in that The control system includes an AI scheduling optimization module, which is deployed in the central control unit and is used to dynamically generate scheduling paths and control the transportation device to complete the orderly transfer of workpieces based on the operating status and load of tasks to be processed of the multiple CNC processing equipment, pressing equipment and gluing equipment.

4. The production equipment according to claim 2, characterized in that The control system includes an AI visual recognition module, which is deployed in the loading and unloading devices corresponding to the unloading equipment, gluing equipment, CNC processing equipment and testing equipment. It is used to identify the spatial posture, processing contour, defect location and marking area of ​​the workpiece, and assist the robotic arm to complete grasping, placement and detection operations.

5. The production equipment according to claim 2, characterized in that The module is deployed in the CNC processing equipment, press-fitting equipment and transportation device to collect operating status data in real time, predict potential faults based on historical models and provide early warning information.

6. The production equipment according to claim 2, characterized in that The control system includes a process parameter adaptive module, which is connected to the CNC processing equipment, glue coating equipment and pressing equipment, and dynamically adjusts the process parameters of processing speed, pressure or glue amount according to the quality data fed back by the detection equipment.

7. The production equipment according to claim 1, characterized in that The control system includes an intelligent human-computer interaction module, which is installed in the central operating console and the remote terminal, supports voice commands and mobile terminal remote control, and displays the operating status and alarm information of each processing equipment in real time.

8. The production equipment according to claim 2, characterized in that The transport device includes a slide rail handling system and / or an automatic guided vehicle (AGV). Each transport node is equipped with a positioning identification module. The transport device is connected to an AI scheduling optimization module to realize automatic delivery of workpieces along a dynamic path.

9. The production equipment according to claim 2, characterized in that The loading and unloading device includes a multi-axis robotic arm, the end of which is equipped with a clamp and a visual recognition device. The loading and unloading device is respectively connected to the AI ​​visual recognition module and the process parameter adaptive module to realize workpiece grasping posture recognition, placement accuracy control and clamping force adjustment.

10. A production process using the production equipment according to claim 1, characterized in that: The following steps are involved: Step 1: Cutting the raw material into workpieces to be processed according to the preset size by the cutting equipment; Step 2: Groove processing: The workpiece is transferred to the groove processing equipment, and the structural groove is precisely processed by the CNC slot machine; Step 3: First cleaning and drying: Send the workpiece into the cleaning device to complete the cleaning and hot air drying of the processing residue; Step 4: Pre-pressing and pressing the pipe: Use the press-fitting equipment to position the heat pipe component and press it into the workpiece slot; Step 5: Gluing: Spray thermal conductive glue on the workpiece joint surface, and the glue coating device completes the path recognition and glue application; Step 6: CNC machining: complete back side machining, front side machining, first side machining and second side machining respectively; Step 7: Surface treatment: Electrolysis, spraying or passivation treatment is performed on the processed workpiece to improve the surface properties; Step 8: Second cleaning and drying: Clean and dry again to ensure cleanliness in subsequent processes; Step 9: Laser marking: Laser mark the radiator workpiece to form unique identification information; Step 10: Inspection and packaging: The workpiece is inspected for appearance, size, flatness and other quality issues. Qualified products are packaged and put into storage. Each step is completed by docking and transferring between corresponding processing equipment through automatic conveying devices and loading and unloading robotic arms, and real-time scheduling and coordination are achieved through a unified control system to achieve unmanned automatic operation of the entire radiator production process.

Images