Monitoring of laser weld penetration using sensor fusion

Allen Sun; Elijah Kannatey-Asibu; Mark Gartner

doi:10.2351/1.1471562

Real-time monitoring of laser weld penetration using sensor fusion

International Congress on Applications of Lasers & Electro-Optics ◽

10.2351/1.5059502 ◽

2000 ◽

Cited By ~ 1

Author(s):

Allen Sun ◽

Elijah Kannatey Asibu ◽

Mark Gartner

Keyword(s):

Real Time ◽

Sensor Fusion ◽

Weld Penetration ◽

Laser Weld ◽

Real Time Monitoring

Download Full-text

Estimation of Al/Cu laser weld penetration in photodiode signals using deep neural network classification

Journal of Laser Applications ◽

10.2351/7.0000506 ◽

2021 ◽

Vol 33 (4) ◽

pp. 042009

Author(s):

Kidong Lee ◽

Sanghoon Kang ◽

Minjung Kang ◽

Sung Yi ◽

Cheolhee Kim

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Weld Penetration ◽

Laser Weld ◽

Neural Network Classification

Download Full-text

Laser Weld Penetration Estimation Using Temperature Measurements

Journal of Manufacturing Science and Engineering ◽

10.1115/1.2831202 ◽

1999 ◽

Vol 121 (2) ◽

pp. 179-188 ◽

Cited By ~ 13

Author(s):

K. N. Lankalapalli ◽

J. F. Tu ◽

K. H. Leong ◽

M. Gartner

Keyword(s):

Penetration Depth ◽

Plate Thickness ◽

Bottom Surface ◽

Process Conditions ◽

Measured Signal ◽

Weld Penetration ◽

Laser Weld ◽

Low Carbon ◽

Conduction Model ◽

Bead Width

Penetration depth is an important factor critical to the quality of a laser weld. This paper presents a 3D heat conduction model with a moving line source to correlate the temperature measured on the bottom surface of the workpiece to the weld penetration, weld bead width and welding speed. Temperatures on the bottom surface of the workpiece are measured using infrared thermocouples located behind the laser beam. The averaging effect due to the temperature measurement spot size is analyzed. This paper provides a model-based approach for laser weld penetration monitoring instead of a pure empirical correlation between a measured signal (e.g., acoustic, infrared) and the penetration depth. Experiments were conducted to compare the depth estimation based on the model to bead-on-plate welds on low carbon steel plates of varying thickness at different laser power levels and speeds. It is shown that the temperature on the bottom surface is a consistent indicator of penetration depth and that the correlation is also sensitive to the sensor location as well as other process conditions such as weld shape, width, and the plate thickness. The proposed model is computationally efficient and is suitable for on-line process monitoring application.

Download Full-text

On-Line Estimation of Laser Weld Penetration

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.2802392 ◽

1997 ◽

Vol 119 (4) ◽

pp. 791-801 ◽

Cited By ~ 7

Author(s):

Jay F. Tu ◽

Kishore N. Lankalapalli ◽

Mark Gartner ◽

Keng H. Leong

Keyword(s):

Penetration Depth ◽

Finite Size ◽

Depth Estimation ◽

Process Models ◽

Bottom Surface ◽

Weld Penetration ◽

Weld Quality ◽

Laser Weld ◽

Production Environment ◽

On Line

High-power CO2 laser welding has been widely used in the industry because of its high productivity and excellent weld quality. In order to tap the potential of this process completely, it is important to have on-line weld quality inspection methods to improve the process productivity and reliability by achieving 100 percent weld inspection. Weld penetration is one of the most important factors critical to the quality of a laser weld. However, it is very difficult to directly measure the extent of penetration without sectioning the workpiece. In this paper a model-based penetration depth estimation technique suitable for the production environment is developed. The proposed model relates the temperature measured on the bottom surface of the workpiece, weld bead width, laser beam power and welding speed to penetration depth. The closed-loop depth estimator combines the model and a model-error compensator to compensate for the uncertainty in the measurement of the laser power and absorptivity. Other effects considered are the averaging due to the finite size of the sensor, delay based on the sensor location and the process and sensor dynamics. Several bead-on-plate and butt welds were made on low carbon steel plates to validate the static process models and the depth estimation scheme. Temperatures on the bottom surface of the workpiece during welding were measured using infrared thermocouples. The welds were sectioned longitudinally to obtain the penetration profile. The penetration profiles estimated by the depth estimator matched satisfactorily with the measured penetration profiles. The results validate the capability of the proposed depth estimator to estimate penetration depth and its ability to trace the dynamic changes in penetration depth.

Download Full-text