The Benefits of Adding Weld Seam Tracking to Welding Robots

The Benefits of Adding Weld Seam Tracking to Welding Robots
11 Jul 2024

  The development of the industrial era has accelerated the pace of welding automation, bringing welding robots to the forefront of history. However, it is still too early for welding robots to completely replace manual welding in the technical field. The goal of welding robots replacing 90% of batch welding workers is still achievable.   Due to their high efficiency, high quality, and ease of management, welding robots are highly favored by most small and medium-sized enterprises. However, when it comes to welding workpieces that require high precision, welding robots alone may fall short. The weld seam tracking system was born out of this need, enhancing the original robots with an automatic weld seam tracking system, enabling high-precision welding of workpieces.   Why add a weld seam tracking system to welding robots?   Welding robots often encounter various technical situations during the welding process, such as workpiece clamping deviations and thermal deformation of sheet metal parts.   Users' actual needs: Many users weld a variety of workpieces with less batch production, which demands high welding precision and skilled welding technicians. For different workpieces, welding robots also need to be reprogrammed or re-taught, which extends the welding cycle.   High cost of improving workpiece feeding: Updating the existing processing equipment and designing and purchasing high-precision fixtures.   Welding robots often require manual touch-up welding after the initial welding. For small and medium-sized enterprises already struggling to survive, this not only incurs high labor costs but also results in a high product rework rate.   Therefore, based on actual production needs, improving the welding efficiency of welding robots, reducing operation time and difficulty, and enhancing the quality of robotic welding all require the timely addition of a weld seam tracking system.

How Often Should a Six-Axis Welding Robot Be Serviced?

How Often Should a Six-Axis Welding Robot Be Serviced?
09 Jul 2024

  With the development of industrial automation, six-axis welding robots have become an indispensable force in the manufacturing industry, taking on many tasks. To ensure these robots can operate stably over the long term, regular maintenance and servicing are crucial. Today, let's follow the ATINY seam tracking system to understand how often six-axis welding robots should be serviced.   I. Working Principle of Six-Axis Welding Robots   A six-axis welding robot is an automated device with six degrees of freedom, capable of performing complex welding operations. These robots typically consist of a control system, drive system, actuators, and sensors. By pre-programming, six-axis welding robots can accurately complete various welding tasks, such as spot welding and arc welding.   II. Importance of Regular Maintenance   Ensuring Production Efficiency: Regular maintenance can timely identify and address faults and wear in the robots, preventing production downtime and decreases in efficiency.   Extending Equipment Life: Maintenance can extend the service life of the robots, reduce repair costs, and improve production efficiency and product quality.   Improving Welding Quality: Regular maintenance and calibration ensure the precision and stability of the welding robots, enhancing welding quality and reducing the defect rate.   III. Maintenance Intervals for Six-Axis Welding Robots   The maintenance intervals for six-axis welding robots depend on various factors, including the working environment, usage frequency, and the quality of the robots themselves. Generally, the maintenance schedule can be categorized as follows:   Daily Check: Perform simple checks before starting up and after shutting down the robot daily, such as cleaning the equipment surface, checking cable connections, and ensuring fasteners are tight.   Weekly Check: Conduct a more detailed inspection once a week, including lubricating joints, checking the wear of transmission components, and testing sensor sensitivity.   Monthly Maintenance: Perform comprehensive maintenance once a month, such as inspecting the electrical system, cleaning and replacing filters, and calibrating weldin

Application of ATINY Seam Tracking Sensor in Automated Welding of European Box-Type Transformer Base Seams

Application of ATINY Seam Tracking Sensor in Automated Welding of European Box-Type Transformer Base Seams
06 Jul 2024

  In the production process of European box-type transformer bases, welding is an indispensable procedure. The quality of welding directly affects the load-bearing capacity and service life of the transformer base, as well as the safe and stable operation of the entire power system. Due to the complex structure and varied seams of the transformer base, traditional welding methods often fail to meet the high-precision and high-efficiency welding requirements. Today, we will explore the application of the ATINY seam tracking sensor in the automated welding of seams in European box-type transformer bases.   Introduction to Laser Seam Tracking   Laser seam tracking technology uses laser sensors to detect and track seams in real-time. The feedback control system adjusts the position of the welding torch to ensure high precision and quality during the welding process. It has the following advantages:   High Precision: Laser sensors can accurately detect the position and shape of the seam, ensuring welding accuracy.   High Speed: Real-time tracking and adjustment make the welding process more efficient.   High Adaptability: Suitable for various complex seam shapes and materials.   Challenges in Automatic Welding of European Box-Type Transformer Bases   The complex structure and irregular seams of European box-type transformer bases make manual welding prone to unstable quality and low efficiency. Even with automatic welding machines, deviations during manual loading and team assembly can lead to welding inaccuracies as the automatic equipment blindly follows the original trajectory, affecting seam connection strength and directly impacting the safe and stable operation of the power system.   ATINY Solution   To address the welding challenges of European box-type transformer bases, ATINY has proposed an efficient automatic welding solution.   Laser Seam Tracking Sensor: Utilizing laser sensor technology, it can accurately obtain real-time position and shape information of the seam, providing precise welding paths.   Automated Control System: The sensor has real-time monitoring and automatic adjustment capabilities, dynamically adjusting the position a

How to Address Declining Welding Quality in Welding Robots

How to Address Declining Welding Quality in Welding Robots
04 Jul 2024

  Welding robots are widely used for their efficiency, precision, and consistent performance. However, even the most advanced welding robots can experience a decline in welding quality, leading to reduced production efficiency and substandard product quality, ultimately affecting a company's competitiveness. Today, let's follow Creative Welding Seam Tracking's insights to understand how to address declining welding quality in welding robots.   I. Common Causes of Declining Welding Quality in Welding Robots   Issues with Welding Materials   The quality of welding materials has a direct impact on the welding outcome. If the welding materials contain impurities, rust, or other defects, the weld quality will significantly decrease.   Weld Seam Deviation   Due to inaccuracies in the position of fixtures and incoming materials, there can be deviations from the robot's initially taught position, leading to welding deviations, missed welds, and other welding issues.   Improper Welding Parameter Settings   Welding current, voltage, speed, and other parameters are crucial for welding quality. Improper parameter settings can result in poor welds, such as welds being too large, too small, or having cracks.   Insufficient Maintenance of the Welding Robot   Long-term use of welding robots without proper maintenance can lead to mechanical wear, electrical component aging, sensor failures, and other issues that affect welding precision and stability.   II. Methods to Address Declining Welding Quality   Strictly Control the Quality of Welding Materials   Choose high-quality welding materials and conduct thorough inspections before use to ensure they are free of rust and impurities.   Optimize Welding Parameters   Set welding parameters appropriately based on different welding tasks. Conduct experiments and data analysis to establish a parameter database and use welding simulation software for pre-testing to ensure the accuracy of parameter settings.   Regular Maintenance and Inspection of Welding Robots   Establish a regular maintenance and inspection schedule for welding robots, including lubricating and tightening mechanical parts,

Methods of Seam Tracking

Methods of Seam Tracking
02 Jul 2024

  Seam tracking, depending on the form of sensing, is mainly divided into: contact, non-contact, and arc sensing. Contact sensors are mainly divided into mechanical and electromechanical types. The main principle is to convert the relative position changes of the weld seam into electrical signals through physical contact between the welding robot and the groove. The mechanical type uses a mechanism to contact the weld seam, using the shape of the seam as a guide. The electromechanical type uses an electrical signal received by the guide rod when there is a positional deviation between the weld seam and the center of the welding torch. Based on the size and direction of the deviation, it controls the welding robot to align the welding torch with the center of the seam. This type of sensor is simple in structure and low in cost but is prone to mechanical wear, reducing sensing accuracy over prolonged welding, which is not conducive to automated welding.   Laser seam tracking systems are tailor-made auxiliary software for laser welding machines, ensuring that operators do not misalign the seam during welding. What are the advantages of the ATINY laser seam tracking system?   Methods of Seam Tracking   1. Accurate Positioning   With the aid of the laser seam tracking system, the laser emission almost does not deviate, ensuring that the welding seam path does not shift. Seam deviation can affect the product's sturdiness and potentially cause safety hazards. The laser seam tracking system effectively prevents such issues.   2. Cost-Effective   Well-reputed laser seam tracking systems are cost-effective, so customers don't need to worry about spending too much. Reasonable pricing allows customers to allocate funds to expand their business. Additionally, the cost-effectiveness means the system is less prone to malfunction, reducing the need for maintenance.   3. Application Advantages   When cutting stainless steel, aluminum, etc, certain errors may occur, and there may also be errors during welding alignment. Combined errors can lead to imperfect welding. The seam tracking system assists in welding by intelligently adjusting, effectively improving product

Application of ATINY Laser Seam Tracking Sensor in Smart Welding of Kitchen Sinks

Application of ATINY Laser Seam Tracking Sensor in Smart Welding of Kitchen Sinks
29 Jun 2024

  In modern manufacturing, the application of intelligent and automated technologies has become a key factor in improving production efficiency and product quality. In the kitchen equipment manufacturing field, the welding quality of sinks directly affects the durability and aesthetics of the product. The laser seam tracking sensor, as a high-precision and high-efficiency welding auxiliary device, is being increasingly used by enterprises. This article explores the application of the ATINY laser seam tracking sensor in the smart welding of kitchen sinks.   Principle of the Laser Seam Tracker   The laser seam tracking sensor is an intelligent sensor based on laser scanning and image processing technology. Its working principle mainly includes the following steps:   Laser Scanning: The laser sensor scans the welding area and obtains the shape and position data of the weld seam through changes in reflected light.   Image Processing: Converts the data obtained from laser scanning into images and analyzes the characteristics of the weld seam using image processing algorithms, including weld width, depth, and deviations.   Real-time Adjustment: Based on the actual position and shape of the weld seam, it adjusts the movement trajectory of the welding robot or welding equipment in real time, ensuring that the welding torch always operates along the center of the weld seam.   Feedback Control: During the welding process, the laser sensor continuously monitors the position and quality of the weld seam, and feeds the information back to the control system for dynamic adjustments to ensure stable welding quality.   Challenges in Automatic Welding of Kitchen Sinks   The welding process of kitchen sinks faces many challenges, mainly including the following aspects:   Complex Weld Seams: The weld seams of kitchen sinks usually have complex geometric shapes, including straight lines, curves, and corners. Traditional welding methods find it difficult to ensure the continuity and consistency of the weld seam.   Material Characteristics: Kitchen sinks are usually made of stainless steel, which is highly reflective and interferes with visual systems. The high reflecti

Welding Robot Debugging Techniques

Welding Robot Debugging Techniques
27 Jun 2024

  Welding robots play an increasingly important role in modern manufacturing, significantly improving production efficiency with their high efficiency, precision, and stability. However, debugging welding robots is a complex and meticulous task, and mastering the debugging techniques is crucial. Here are some tips for welding robot debugging, brought to you by the seam tracking experts at ATINY.   Preparation Work   Before starting the debugging work, engineers must fully understand the structure, working principle, and working environment of the welding robot. This includes the robot's control system, kinematic characteristics, welding power supply, and welding process parameters. Understanding this foundational knowledge helps in accurately diagnosing and solving problems during the debugging process.   Initial Check and Setup   Before formal debugging, a preliminary check and setup of the welding robot is required. This includes checking the mechanical connections of the robot body for firmness, ensuring the welding power supply is working properly, confirming sufficient gas supply, and verifying that the welding materials meet the requirements. Additionally, basic parameter settings such as welding current, voltage, wire feed speed, and shielding gas flow must be configured.   Writing and Optimizing the Welding Program   The operation of a welding robot is achieved through programming. When writing the program, appropriate welding parameters need to be set according to the welding process requirements, and through repeated testing and adjustments, ensure the welding quality. During program optimization, observing welding results and analyzing welding defects can help in gradually adjusting the welding path, speed, and parameters to achieve the best results. Installing a laser seam tracking system can also automatically identify and locate seams, intelligently plan welding paths, and improve welding efficiency and consistency.   Monitoring and Adjusting the Welding Process   During the actual welding process, real-time monitoring of the welding robot is necessary to promptly detect and address issues. Common monitoring methods include using weld poo

How Welding Robots Replicate Welding Programs

How Welding Robots Replicate Welding Programs
25 Jun 2024

  Welding robots play an increasingly important role in modern manufacturing, improving both production efficiency and welding quality. When faced with a large number of repetitive or similar welding tasks, replicating welding programs can significantly enhance work efficiency. Here, the editor from Chuangxiang Zhikong seam tracking will detail how welding robots replicate welding programs.   I. Basic Composition of a Welding Program   A welding program typically includes welding paths, welding parameters (such as current, voltage, speed, etc.), start and end positions, and welding sequences. This information can be input into the welding robot through programming software or manually taught using a teach pendant.   II. Programming Methods   Offline Programming:   Offline programming involves creating and editing welding programs on a computer using specialized programming software and then uploading them to the welding robot controller. The advantage of this method is that programming can be completed without occupying the robot’s actual production time, thus improving production efficiency. Additionally, with the Chuangxiang Zhikong laser seam tracking system, welding paths can be pre-checked and optimized, reducing on-site debugging time.   Online Programming (Teach Programming):   Online programming is performed by operating a teach pendant to guide the robot in an actual welding environment. The operator manually directs the robot along the predetermined welding path, recording the position and welding parameters of each key point. The advantage of online programming is its intuitiveness and ease of operation, making it suitable for more complex welding tasks.   III. Steps to Replicate a Welding Program   Export the Welding Program:   The pre-written welding program needs to be exported from the robot controller. The exported file is usually saved in a specific format, such as XML or CSV. These files contain the welding paths and related welding parameters.   Edit and Optimize the Welding Program:   The exported welding program can be edited and optimized on a computer. Professional programming software can be used to fine-tune weldi

 Application of CR Laser Seam Tracking Sensor in Automated Welding of Storage Tanks

Application of CR Laser Seam Tracking Sensor in Automated Welding of Storage Tanks
22 Jun 2024

  Welding, a critical process in manufacturing, has gradually transitioned from manual to automated welding, enhancing both production efficiency and weld quality consistency. In storage tank manufacturing, weld quality is paramount, as traditional methods often fall short in achieving the desired results. CR Laser Seam Tracking System offers an effective solution for automated welding of storage tanks.   Laser Seam Tracking Principle:   Laser seam tracking technology employs a laser beam to illuminate the workpiece surface, while a sensor captures the reflected light to detect the weld's position and shape. The sensor's high-speed camera and image processing system capture real-time weld images and analyze them using algorithms to determine the weld's precise location and trajectory. Guided by this information, the sensor instructs the welding equipment to automatically adjust welding parameters and paths, enabling accurate weld tracking and automated welding.   Laser seam tracking boasts high resolution, high precision, and real-time performance, adapting to welds of various materials and complex shapes. Compared to traditional vision recognition and contact tracking methods, laser seam tracking excels in both speed and accuracy.   Challenges in Automated Welding of Storage Tanks:   Storage tanks, as high-pressure containers, demand stringent welding quality standards. The primary challenges in storage tank welding include:   Complex and Varying Welds: Storage tanks, typically cylindrical or spherical, feature intricate weld shapes and long weld paths. Equipment blind welding struggles to ensure weld consistency and stability.   High Welding Position Accuracy: Withstanding high internal pressure, storage tanks require completely sealed welds. Even minute welding defects pose severe safety hazards.   Environmental Impact: The high temperatures, fumes, and reflected light generated during welding often compromise weld quality and the welder's line of sight.   High Labor Costs: Manual welding necessitates skilled workers, high labor intensity, and low production efficiency.   CR Solution:   CR Laser Seam Tracking Sensor provides a


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