Controlling the weld penetration depth of laser beam micro welding by using an iterative learning approach

Author:

Spurk C.1ORCID,Hollatz S.2,Lipnicki W.2,Hummel M.12,Gillner A.12,Häfner C.12

Affiliation:

1. RWTH Aachen University Chair for Laser Technology LLT Steinbachstraße 15 52074 Aachen Germany

2. Fraunhofer Institute for Laser Technology ILT Steinbachstraße 15 52074 Aachen Germany

Abstract

AbstractIn order to meet the increasing demand for high‐speed joining processes, laser beam micro welding is used to reproducibly weld metallic joining partners such as steel. Long weld seams or high cycle speeds, however, remain a challenge to achieve a constant welding depth throughout the entire welding process without major fluctuations. This paper shows the development and evaluation of a weld penetration depth control system based on interferometric measurement of the depth of the vapor capillary. High path speeds and small weld depths are challenging for real‐time depth control. Therefore, the offline data of the interferometric measurements are used to implement an iterative learning control of the weld penetration depth. The quality of the control is verified by welding with and without spatial power modulation on 1.4301 steel while following a linear and sinusoidal trajectory.

Funder

RWTH Aachen University

Publisher

Wiley

Reference13 articles.

1. A. Heider Ph.D. Thesis Universität Stuttgart Germany 2018.

2. F. Schmitt Ph.D. Thesis RWTH Aachen Germany 2012.

3. Process Monitoring and Control of Laser Beam Welding

4. One-shot, integrated positioning for welding initial points via co-mapping of cross and parallel stripes

5. W.-S. Chung M. Hummel C. Spurk A. Häusler A. Olowinsky C. Häfner F. Beckmann J. Moosmann Weld. World 2023.

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