← Latest papers
⚡ electrical engineering

Automatic Electrode Feed for Arc Welding

This project presents an innovative automatic arc welding system that utilizes motors, lead screws, and proximity sensors to independently feed the workpiece along the x-axis and the filler electrode along the y-axis, thereby ensuring stable arc length and superior welding performance.

Original authors: Ashik Suresh

Published 2026-10-19
📖 5 min read🧠 Deep dive

Original authors: Ashik Suresh

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Welding is a fundamental craft that holds the modern world together, joining metal beams, car frames, and ship hulls with intense heat and molten filler. Among the many ways to join metal, one of the most common is a process where a worker holds a rod coated in flux, strikes an arc against a piece of steel, and guides the melting rod along the seam. This method, known as shielded metal arc welding, is prized for its simplicity and low cost, but it relies heavily on the steady hand of a skilled technician. The worker must constantly adjust the distance between the rod and the metal; if the gap is too wide, the electric arc becomes unstable and the weld fails, but if it is too close, the rod sticks. Maintaining this perfect distance while the rod melts away is a difficult balancing act that requires constant attention and experience.

Researchers at the National Institute of Technology Calicut and Heera College of Engineering have developed a new approach to this challenge, creating a machine that automates the movement of both the workpiece and the welding rod. Their goal was to replace the manual dexterity of a human with a precise, computer-controlled system that keeps the arc length perfectly stable. By using a combination of electric motors, screws that convert rotation into straight-line motion, and sensors that detect position, the team built a device that feeds the metal rod and the workpiece automatically. The core of their innovation lies in a control strategy that constantly monitors the electrical current flowing through the arc and adjusts the speed of the motors in real time. This system is designed to be robust against the unpredictable disturbances that occur during welding, ensuring the arc remains steady without human intervention.

The project focuses on a specific type of automation where the workpiece moves along one path while the electrode, or welding rod, moves along a perpendicular path. The machine uses two direct current motors to drive lead screws, which are essentially long threaded rods that act like giant screws. As the motors turn these screws, they push a table forward or pull it back, moving the metal being welded or the electrode holder with exact precision. To ensure the machine stops at the right place and does not crash, the researchers installed proximity sensors that act as electronic stop signs, limiting the movement of the tables. The entire setup is compact, measuring roughly one meter in length, and is capable of handling workpieces up to ten centimeters wide and creating welds up to thirty centimeters long.

To make this machine work, the researchers had to solve a complex problem: how to tell the motors exactly how fast to move so that the rod melts at the same rate it is fed. In a manual process, a welder feels the arc and adjusts their hand instinctively. In this machine, a computer program does the feeling. The team created a mathematical model of the system to understand how the electric current, the voltage, and the speed of the rod are related. They found that for long welding arcs, the electric current is the most important factor in determining how fast the rod melts. They treated the voltage as a variable that could fluctuate unexpectedly, like a gust of wind affecting a sail, and designed a controller that could ignore these fluctuations while focusing on the current.

The heart of the solution is a control method called sliding mode control, enhanced with an adaptive algorithm. In simple terms, this is a way for the machine to learn the limits of its own environment. The system constantly estimates how much the welding process might be disturbed by outside factors and adjusts its own sensitivity accordingly. If the machine detects that the arc is becoming unstable, it instantly changes the speed of the motor to correct the distance. The researchers tested this idea using computer simulations before building the physical device. In these simulations, they commanded the machine to maintain a specific current level of eighty amperes. The results showed that the system could quickly reach the target and stay there, even when disturbances were introduced. The adaptive part of the system successfully estimated the size of the disturbances, allowing the controller to remain stable without needing to know the exact nature of every possible problem in advance.

Once the theory was proven in simulation, the team constructed a physical prototype to verify their findings. They built a circuit board to connect the motors and sensors to a power supply, creating a low-cost, functional welding machine. The final device successfully demonstrated that the electrode and the workpiece could be fed automatically using the lead screw and motor arrangement. The machine moved the tables linearly along guide rails, ensuring smooth motion without rotation, and the sensors successfully limited the travel distance as planned. The researchers concluded that this automatic system could effectively perform shielded metal arc welding, offering a way to replace manual operations with a machine that maintains a stable arc length and produces excellent welding performance.

The significance of this work lies in its potential to make a traditionally difficult, manual process more consistent and accessible. By automating the feed of the electrode and the movement of the workpiece, the machine reduces the reliance on highly trained technicians for basic welding tasks. The use of sliding mode control with an adaptive algorithm allows the system to handle the messy, unpredictable reality of welding without needing perfect data about every possible error. While the current prototype is a small-scale model, the principles demonstrated suggest that this approach could be applied to larger industrial welding systems. The project shows that with the right combination of motors, sensors, and smart control logic, the delicate balance required for a perfect weld can be achieved automatically, opening the door for more efficient and reliable metal joining in the future.

Drowning in papers in your field?

Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.

Try Digest →