Automatic nozzle centering via NIR coaxial machine vision for high power laser cutting

Laser cutting has become a reference manufacturing technology for metal sheets and tubes due to its flexibility, productivity, and quality compared to conventional methods. Although widely adopted in industry, variations in process conditions, material properties, and calibration can affect cut quality. In particular, alignment between the laser beam and the nozzle center plays a key role in reducing defects such as dross attachment and surface roughness. This alignment is still often performed manually, leading to subjective and inaccurate results. An automatic nozzle centering system is therefore of great interest, as it reduces alignment time and errors by removing operator input and improving accuracy. In this research, an ad hoc centering system was investigated, employing a laser in a modulated manner, a coaxial camera monitoring system, and an external NIR illuminator. An image vision algorithm was implemented to detect the contours of the nozzle and the laser beam, enabling evaluation of misalignment error, while a feedback control scheme using two stepper motors was designed to correct it. Results show that the proposed solution can automatically aligning the laser beam with the nozzle center, achieving a residual error comparable to the manual method and enabling reduced human intervention and greater process adaptability.

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Publication Details

Journal
International Journal of Computer Integrated Manufacturing
Published
2026-02-04
DOI
https://doi.org/10.1080/0951192x.2026.2622982
Primary Topic
Laser Material Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic nozzle centering via NIR coaxial machine vision for high power laser cutting

Leonardo Caprio, Barbara Previtali, Sofia Guerra, Mara Tanelli et al.
International Journal of Computer Integrated Manufacturing
Laser Material Processing Techniques
article

Automatic nozzle centering via NIR coaxial machine vision for high power laser cutting

Leonardo Caprio, Barbara Previtali, Sofia Guerra, Mara Tanelli, Luca Tornaquindici
article en

Abstract

Laser cutting has become a reference manufacturing technology for metal sheets and tubes due to its flexibility, productivity, and quality compared to conventional methods. Although widely adopted in industry, variations in process conditions, material properties, and calibration can affect cut quality. In particular, alignment between the laser beam and the nozzle center plays a key role in reducing defects such as dross attachment and surface roughness. This alignment is still often performed manually, leading to subjective and inaccurate results. An automatic nozzle centering system is therefore of great interest, as it reduces alignment time and errors by removing operator input and improving accuracy. In this research, an ad hoc centering system was investigated, employing a laser in a modulated manner, a coaxial camera monitoring system, and an external NIR illuminator. An image vision algorithm was implemented to detect the contours of the nozzle and the laser beam, enabling evaluation of misalignment error, while a feedback control scheme using two stepper motors was designed to correct it. Results show that the proposed solution can automatically aligning the laser beam with the nozzle center, achieving a residual error comparable to the manual method and enabling reduced human intervention and greater process adaptability.

International Journal of Computer Integrated Manufacturing
Politecnico di Milano (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
Laser Material Processing Techniques
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