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　　With the rapid development of industrial automation and intelligent manufacturing, welding, as a critical part of the manufacturing process, directly affects the performance and lifespan of products. Traditional weld seam inspection mainly relies on manual checks, which are not only inefficient but also prone to human error, leading to inconsistent inspection results. To address these issues, machine vision technology has been introduced into weld seam inspection, providing an efficient, accurate, and repeatable solution. 　　Basic Principles of Machine Vision 　　Machine vision inspection of weld seams primarily uses high-precision cameras and advanced image processing algorithms to achieve automatic, rapid, and accurate inspection. The main steps of machine vision inspection for weld seams are as follows: 　　Image Acquisition: Using high-resolution industrial cameras and precise optical systems, images of the workpiece after welding are captured to obtain high-definition images of the welding area. It is crucial to ensure the stability and clarity of the images during this process to guarantee the accuracy of subsequent processing. 　　Preprocessing: The captured images undergo noise reduction, contrast enhancement, and other operations to improve image quality, facilitating subsequent feature extraction and defect identification. 　　Feature Extraction: Image processing algorithms are used to extract features such as shape, size, and texture of the welding area. For example, edge detection algorithms can accurately identify the edges of weld points, which are critical for assessing the quality and position of the weld points. 　　Defect Identification: Based on the extracted feature information and predefined defect identification models, the system determines whether there are defects in the welding area, such as cracks, pores, slag inclusions, etc. 　　Generating Inspection Reports: The machine vision system can generate inspection reports, detailing the inspection status of each weld point, including quality grades, defect types, locations, and other information. This provides a basis for subsequent quality control and improvements. 　　Compared to traditional we

　　With the continuous improvement of industrial automation levels, welding technology is also rapidly advancing. Laser seam tracking systems, as an advanced technology, are being widely used in various complex welding scenarios. Particularly in the automated welding of corrugated sheets, laser seam tracking systems have solved many challenges that traditional welding methods struggle to overcome. Today, let's explore the application of the ATINY laser seam tracking system in the automated welding of corrugated sheets. 　　Principle of Laser Seam Tracking 　　The principle of the laser seam tracking system is based on laser triangulation measurement. The system emits a laser beam onto the weld seam, receives the reflected light through a high-quality optical system, and projects it onto an imaging matrix. By calculating the reflected light information, the three-dimensional position data of the weld seam is obtained. The system corrects deviations between the welding gun and the weld seam in real-time, accurately guiding the welding gun for automatic welding, achieving intelligent seam tracking. This improves welding precision and efficiency, especially suitable for large workpieces or large-scale automated welding production. 　　Application in Corrugated Sheets 　　Corrugated sheets, also known as profiled sheets, are products formed by machining sheet metal into various waveforms. Compared to sheets of the same thickness, the strength of corrugated sheets can be increased by 10 to 30 times. Therefore, in applications where product weight is strictly controlled, such as aerospace, shipbuilding, containers, truck bodies, and highway guardrails, the use of corrugated sheets has greatly increased. 　　Challenges in Welding Corrugated Sheets 　　Data Collection Challenges 　　For current mechanical automation technology, the most difficult aspect in the application of automated welding is data collection. From the perspective of automated welding, both data aggregation and technical optimization of mechanized manufacturing present considerable difficulties. Since data extraction technology is crucial for realizing automation technology, the collection and organization o

　　Welding quality defects are problems that arise during the welding process that do not meet design or standard requirements. These issues can affect the structural integrity, performance, and safety of the product. Welding, as a common joining process, is widely used in various industrial fields, but the generation of welding quality defects is not random. In this article, the editor of Weld Seam Tracking will discuss with you the main causes of welding quality defects. 　　Improper Material Selection 　　One of the main reasons for welding quality defects is improper material selection. Welding materials include welding rods, electrodes, welding wires, fluxes, etc. If the selected welding materials do not match the base metal or if there are quality issues with the welding materials, it can lead to problems such as insufficient joint strength and poor corrosion resistance. 　　Incorrect Welding Parameter Settings 　　During the welding process, the settings of welding parameters directly affect welding quality. If current, voltage, welding speed, and other parameters are set improperly, it can result in incomplete weld seams, residual weld slag, etc, thereby reducing the quality of the welded joint. 　　Inadequate Welding Operation Techniques 　　Inadequate welding operation techniques are also one of the main reasons for the generation of welding quality defects. If the operator lacks skills or is careless, it can easily lead to welding defects. For example, welding too quickly may result in incomplete fusion of the weld seam, while welding too slowly may lead to overheating, deformation, or cracking of the weld seam. 　　Equipment Issues 　　The quality and performance of welding equipment directly affect welding quality. If there are faults or improper maintenance in the equipment, such as unstable output current, voltage fluctuations, etc, it may lead to the generation of welding quality defects. 　　Design Deficiencies 　　The generation of welding quality defects may also be related to product design. Unreasonable design of welding structures or weld seam designs that do not meet welding process requirements can lead to welding defects. For example, overly dens

　　In modern industrial production, welding is a common process used for connecting metal components and manufacturing various structures. However, quality control during welding has always been one of the challenges faced by the welding industry. To ensure that the quality of welded joints meets requirements, various inspection techniques are continuously researched and applied. Among them, laser inspection of welding appearance quality has attracted widespread attention as a modern and efficient inspection method. 　　Laser inspection of welding appearance quality is a modern welding quality inspection method that utilizes laser technology to achieve high-precision and high-speed detection of the appearance characteristics of welded joints. This method typically combines computer vision and laser imaging technology to real-time detect external defects of welded joints, such as cracks, voids, and burn-through, and it has the advantages of non-contact, high efficiency, and high precision. 　　Laser inspection of welding appearance quality typically includes the following: 　　Laser imaging system: Using a laser imaging system to capture images of welded joints. This system typically consists of laser emitters, optical lenses, CCD cameras, and other components, capable of obtaining high-resolution images of welded joints. 　　Image processing and analysis: Processing and analyzing the images obtained by the laser imaging system using image processing algorithms to extract feature information of welded joints, such as shape, size, and defects. 　　Defect detection: Utilizing image processing techniques to detect defects in the images of welded joints. Common defects include cracks, voids, and burn-through. The system classifies and locates defects in welded joints based on preset algorithms and standards. 　　Quality assessment: Evaluating the quality of welded joints based on the detected defect information. The system can determine whether the welded joints meet preset standards, such as welding process specifications and customer requirements. 　　Data recording and report generation: Recording the detected data and generating inspection reports. Reports typically include

　　With the continuous advancement of technology, automation plays an increasingly important role in industrial production. In the field of steel cylinder manufacturing, the application of automated welding technology not only improves production efficiency but also ensures product quality and safety. Today, let's explore with ATINY how laser seam tracking sensors are applied in the automatic welding of steel cylinders. 　　Principle of Laser Seam Tracking Sensor 　　The laser seam tracking sensor is an intelligent sensor that utilizes laser technology to track seams during welding. Its principle involves scanning and identifying the weld seam using a laser beam, and then automatically adjusting the welding torch through feedback control systems to ensure precise alignment of the seam and stable welding quality during the welding process. 　　The laser seam tracking sensor features high precision, speed, and stability, making it suitable for measuring weld seams of various complex shapes. Additionally, it possesses strong adaptability, real-time feedback, and easy integration with other welding equipment and systems, enabling collaborative work for fully automated and unmanned welding. 　　Application Areas of Steel Cylinders 　　Steel cylinders, as common pressure vessels, find widespread applications in industrial, civilian, and medical fields due to their special purposes and characteristics. Examples include gas storage and transportation in industry, gas supply in civilian use, and oxygen cylinders in medical applications. Furthermore, steel cylinders are extensively used in energy, environmental protection, and scientific research fields. 　　Common Challenges in Steel Cylinder Manufacturing 　　Large errors: For example, in liquefied petroleum gas cylinders, errors in the cutting process of thin steel plate forming and inaccuracies in fixture accuracy and manual placement during welding can lead to inaccurate weld seam positions. 　　Low production efficiency: Currently, most steel cylinder welding processes involve one welding machine paired with one worker for observation and manual adjustment of the welding torch position. 　　Poor production quality and

　　Welding is an indispensable process in modern industrial manufacturing, and the quality of weld seams directly impacts the performance and reliability of manufactured products. To ensure that weld seam quality meets standards, various inspection methods have been developed. There are many types of weld seam inspection methods, each with its unique advantages and applicable scenarios. Among these methods, laser-based weld seam inspection, as a high-precision and efficient technology, is becoming an important tool for welding quality control. 　　Visual Inspection 　　Visual inspection is one of the most common weld seam inspection methods. It involves real-time monitoring and analysis of weld seams using cameras and image processing software. This method is quick and straightforward, but it may not be sensitive enough to detect surface defects in weld seams, such as small cracks or pores. 　　Ultrasonic Testing 　　Ultrasonic testing utilizes the principle of ultrasonic wave propagation in materials to detect defects in weld seams. It can penetrate through significant material thicknesses and is suitable for detecting internal defects in weld seams, such as pores, inclusions, and lack of fusion. However, ultrasonic testing has relatively low sensitivity to surface defects in weld seams. 　　Magnetic Particle Inspection 　　Magnetic particle inspection utilizes the adhesion of magnetic powder in a magnetic field to detect cracks and defects on the surface of weld seams. It is applicable to various metal welds, but it cannot be implemented for welding non-magnetic materials such as aluminum alloys. 　　Weld Seam Laser Inspection 　　Weld seam laser inspection is an advanced method based on laser technology that has gained significant attention in recent years. It uses a high-energy laser beam generated by a laser to scan and inspect weld seams. The principle involves identifying defects and deformations on the surface of weld seams by measuring the characteristics of reflected or diffused light. Weld seam laser inspection has several notable advantages: 　　High Precision: The high resolution of laser technology enables weld seam laser inspection to detect tiny defects an

　　In industrial production, six-axis welding robots, as important equipment for automation, undertake welding tasks, thereby improving production efficiency and product quality. However, with the passage of time and increased usage frequency, robots may experience wear and failures, making regular maintenance of six-axis welding robots crucial. Today, the Creative Weld Seam Tracking System brings you a detailed introduction to the maintenance cycle and maintenance content of six-axis welding robots. 　　I. Maintenance Cycle 　　The maintenance cycle of six-axis welding robots is usually determined based on actual usage and manufacturer recommendations, generally divided into daily maintenance and periodic maintenance. 　　Daily Maintenance: Daily maintenance involves simple checks and cleaning of the robot every day, including removing welding slag, inspecting the welding gun, and cleaning the lubrication system, aiming to ensure the robot is in good working condition before each operation. 　　Periodic Maintenance: Periodic maintenance involves more in-depth maintenance tasks performed at certain time intervals, typically recommended every three or six months. This includes replacing consumable parts, calibrating robot posture, and inspecting the electrical system to ensure long-term stable operation of the robot. 　　II. Maintenance Contents 　　The maintenance content of six-axis welding robots mainly includes the following aspects: 　　Lubrication System Maintenance: Regularly check the oil condition of the lubrication system, replace aging lubricants in a timely manner, and clean and lubricate lubrication points to ensure smooth operation of the robot's moving parts. 　　Electrical System Inspection: Regularly inspect the electrical system for loose connections, cable wear, or aging, and replace damaged cables and connectors promptly to ensure electrical system safety and reliability. 　　Mechanical Structure Calibration: Regularly calibrate the robot's posture and position, check for loose or worn mechanical structures, and adjust and replace damaged components promptly to ensure the robot's accuracy and stability. 　　Replacement of Wear Parts: Regula

　　As industrial automation continues to evolve, welding technology has also undergone revolutionary changes. The six-axis welding robot, with its high precision, efficiency, and stability, is widely used in various industries. This type of automation equipment is known for its flexible operation and high work efficiency. Today, let's learn about the operating process of a six-axis welding robot with the editorial team from Chuangxiang Intelligent Welding Seam Tracking. 　　1. Robot Preparation 　　Power-on Self-Test: Start the robot control system and run a self-test program to ensure that the system operates normally without any fault indications. 　　Load Welding Program: According to the shape, material, and welding requirements of the workpiece, select and load the appropriate welding program into the robot's control system. 　　Calibrate Robot Coordinate System: Use a teaching pendant or an automatic calibration tool to calibrate the robot’s coordinate system to ensure accurate recognition of the workpiece position. 　　2. Workpiece Clamping and Positioning 　　Workpiece Clamping: Secure the workpiece to be welded on the welding worktable to ensure stability and accurate positioning. 　　Workpiece Positioning: Use a vision system or laser sensor to precisely locate the workpiece, providing accurate coordinate information for subsequent welding operations. 　　3. Teach Programming 　　Teaching Mode: Switch the robot to teaching mode and manually operate the robot through the teaching pendant to teach the welding trajectory. 　　Record Trajectory: During the teaching process, the robot will record real-time information about the welding trajectory, including coordinates, speed, and acceleration. 　　Generate Welding Program: After teaching is complete, the robot generates the corresponding welding program based on the recorded trajectory information. 　　4. Automatic Welding 　　Start Automatic Welding: Switch the robot to automatic welding mode and start the generated welding program. 　　Real-Time Monitoring: Monitor the welding status in real-time during the automatic welding process via the teaching pendant or monitoring software to ensure weldi

　　With the rapid development of modern manufacturing,automated welding technology has become an indispensable part of industrial production.In the field of steel structure manufacturing,robot blind welding not only suffers from low efficiency but also struggles to ensure welding quality,posing numerous safety hazards.In order to improve the efficiency and quality of steel structure welding,the ATINY Seam Tracking System has emerged,providing a new solution for automatic welding of steel structures when combined with welding robots. 　　Principle of Seam Tracking System 　　The seam tracking system is a technology that utilizes sensors,image processing techniques,and control systems to achieve automatic detection and tracking of weld seams.Its working principle involves:firstly,collecting images or data of the weld seam through sensors;then,analyzing the images using image processing techniques to extract weld seam features;and finally,controlling the robot to weld along the seam trajectory through the control system. 　　Challenges in Automatic Welding of Steel Structures 　　Welding of steel structures is a crucial process in steel structure manufacturing,directly affecting the load-bearing capacity and safety performance of the entire structure. 　　Traditional welding methods for steel structures often rely on the experience and skills of workers,making it difficult to ensure consistency in welding quality.Additionally,hazards such as smoke and arc light generated during the welding process can endanger the health of workers.Robot blind welding often results in inaccuracies in weld positioning and welding deformations due to variations in workpiece shapes,sizes,materials,etc.,leading to quality defects such as weld offsets. 　　Solution of ATINY Seam Tracking System 　　The ATINY Seam Tracking System provides a comprehensive solution to the challenges of automatic welding of steel structures. 　　High-precision laser sensor:ATINY employs high-precision laser sensors,capable of accurately capturing images or data of weld seams,providing a reliable foundation for subsequent image processing. 　　Advanced image processing algorithms:ATINY Seam Tracking utilizes advance