OCT for automated conventional welding in the automotive industry
Experts from Lessmueller Lasertechnik discuss the advantages to extend the use of OCT – as known from laser welding – to classical GMAW in an early view article of PhotonicsViews.
Similar to laser welding, optical coherence tomography (OCT) simplifies the operation of robot-guided, automated GMA welding by offering seam tracking capabilities thanks to its industry-approved, standardized functions and fieldbus communication. Furthermore, OCT can monitor the quality of weld seam online by measuring the seam topography during GMA welding, eliminating the need for time-consuming and costly off-line weld inspection.



Gas metal arc welding (GMAW) is known as the standard welding technique for ferrous and aluminum alloys. It produces high quality, strong, and reliable welds that can withstand various loads and stresses. This makes it a popular choice for applications where strength and durability are critical.
In the past, many large parts were welded by hand. Nowadays, this work is carried out by robots at automotive suppliers that can weld them automatically or semiautomatically on the assembly line. Robot-operated GMAW is boosting the production of electric vehicles. It allows different metals and alloys to be joined at high welding speeds, increasing production efficiency. As wire is always fed to the parts being joined during GMAW, larger gaps can be bridged and the edges need to be prepared less precisely compared to laser welding. It is therefore the first choice for larger parts with wide weld beads.
The welding process must be precisely controlled in order to further improve the productivity of automated GMA welding and reduce the risk of a lack of fusion. Previous process monitoring systems were considered insufficient due to the high performance requirements of robotic GMAW. OCT has recently become widely used for real-time control and process monitoring of laser welding. Coaxially directed onto the workpiece surface together with the processing laser beam, the OCT beam enables topographical surface examination in pre, in, and post-welding process. It provides transparent information about the positioning status of the optics and the workpiece, as well as the weld quality. The advances in OCT technology can be transferred to GMAW, enabling accurate and consistent seam tracking and inspection suitable for the mass production of automotive components.
The experts present their findings at the LaserEMobility Workshop 2024, 16 & 17 July 2024. Read the full article now online or in the September issue of PhotonicsViews.
Reference: N. Deyneka Dupriez & S. Adolph: OCT for automated conventional welding in the automotive industry: Optical coherence tomography provides robotic GMAW with a process and quality monitoring function, PhotonicsViews, version of record online 14 June 2024; DOI: 10.1002/phvs.202400024
Company
Lessmüller Lasertechnik GmbHGollierstr. 12
80339 München
Germany
most read

High-tech Analysis of Human Movement
The mission of a US institute isn’t just to capture high-speed movement – it’s to understand whether that movement actually maximizes performance while minimizing the risk of injury.

Precise Down to the Nanometer
Interferometry is crucial in semiconductor, packaging, and medical industries. New white‑light systems offer nanometer precision, high measurement rates, and are ideal for inline industrial use.

Evaluating a Short Distance OCR Setup Using High Resolution Optics and Deep Learning
A high resolution imaging setup was evaluated to determine how well small characters can be captured and interpreted at close range under typical industrial conditions.

Efficient Food Manufacturing Enabled by Prism Cameras
Powerful machine vision systems play a crucial role in optical quality control in the food industry. James Cameron, Sales Director EMEA at JAI, explains the requirements and solutions for the food industry.

“Cybersecurity has become a basic requirement for industry”
Security expert Thomas Hopfner from software manufacturer MVTec explains why networked production environments are a preferred target for attacks.





