Laser seam tracking for welding robots and machine
Can match ABB, FANUC, KUKA, Yaskawa and many
brands of robots and PLC controllers
Companies around the world use aTiny products to eliminate defects, verify components, realize automated production, and track and identify workpieces.
As automation technology continues to advance, welding robots have become essential tools for improving production efficiency and welding quality. The setting of the drag path for welding robots is a crucial step in ensuring welding precision and consistency. Today, let’s explore how to set the drag path for welding robots with insights from the ATINY Seam Tracking System. 1. Introduction to Welding Robo
In modern manufacturing, welding robots are widely used to improve production efficiency and welding quality. Correctly setting the teaching mode of a welding robot is a crucial step to ensure the precise execution of automated welding processes. Today, the ATINY Seam Tracking System team will guide you through the steps to set up the teaching mode for welding robots. 1. What is Teaching Mode? The teaching mode o
As infrastructure construction accelerates, the demand for tunnel fans has increased, particularly due to the growing need for tunnel construction. Welding is a critical step in the manufacturing of fans, which often involve large sizes and complex structures due to the substantial tunnel diameters. This imposes stringent requirements on welding accuracy and consistency. However, existing manual welding methods and
Automatic welding robots are crucial in modern industrial production, playing a vital role in enhancing productivity, reducing labor costs, and improving welding quality. To fully utilize welding robots, proper debugging and programming are essential. Today, follow along with the CXZK seam tracking team to learn how to debug and program automatic welding robots. 1. Debugging Preparation Before starting the
In modern industrial production, reactors are crucial chemical equipment, and their welding quality directly impacts the safety and reliability of the entire system. However, due to the complex structure and diverse weld seams of reactors, traditional manual or automated blind welding methods struggle to ensure consistent welding quality. With the continuous development of automation and intelligent technology, laser
In the field of industrial automation, intelligent welding robots have gradually become core equipment in the manufacturing industry due to their efficiency, precision, and flexibility. By integrating advanced sensors, automation technology, and artificial intelligence, these robots not only improve production efficiency but also enhance the stability of welding quality. In intelligent welding robot systems, the AT
With the continuous advancement of automation technology, welding robots have become widely used in the manufacturing industry. These robots not only improve production efficiency but also ensure the stability of welding quality. However, in practice, the complex shapes of workpieces, irregular weld paths, and assembly errors make precise welding by robots difficult to achieve. This is where a system capable of aut
In the era of intelligent manufacturing, the demand for automated welding is increasing among production and manufacturing enterprises. In the medical equipment manufacturing field, such as the welding of medical mixing tank reactors, the requirements for precision and quality are particularly strict. Laser seam tracking technology, as an advanced auxiliary welding technology, can monitor and adjust the welding pat
