Real-time classification of laser welding process irregularities by using multivariate statistics

2002 ◽  
Author(s):  
Hans Kurt Tönshoff ◽  
Andreas Ostendorf ◽  
Oliver Hillers
Keyword(s):  
Laser Welding ◽  
Real Time ◽  
Multivariate Statistics ◽  
Welding Process ◽  
Laser Welding Process ◽  
Real Time Classification

Optical sensor for real-time monitoring of CO_2 laser welding process

2001 ◽  
Vol 40 (33) ◽  
pp. 6019 ◽  
Author(s):  
Antonio Ancona ◽  
Vincenzo Spagnolo ◽  
Pietro Mario Lugarà ◽  
Michele Ferrara
Keyword(s):  
Laser Welding ◽  
Real Time ◽  
Optical Sensor ◽  
Welding Process ◽  
Real Time Monitoring ◽  
Laser Welding Process

Real-Time Monitoring of the Weld Penetration State in Laser Welding of High-Strength Steels by Airborne Acoustic Signal

2009 ◽  
Author(s):  
Wei Huang ◽  
Shanglu Yang ◽  
Dechao Lin ◽  
Radovan Kovacevic
Keyword(s):  
Laser Welding ◽  
Real Time ◽  
Optical Sensors ◽  
Weight Ratio ◽  
Welding Process ◽  
High Strength Steels ◽  
High Strength ◽  
Acoustic Signals ◽  
Real Time Monitoring ◽  
Laser Welding Process

Nowadays high-strength steels have great applications in different industries due to their good combination of formability, weldability, and high strength-to-weight ratio. To guarantee a high quality without the presence of defects such as partial penetration (PP) in the laser welding of high-strength steels, it is very important to on-line monitor the whole welding process. While optical sensors are widely applied to monitor the laser welding process, we are proposing to use a microphone to acquire the airborne acoustic signals produced during laser welding of high-strength steel DP980. In order to extract valuable information from a very noisy signal acquired in a harsh environment such as industrial welding, spectral subtraction (SS), a noise reduction method is used to process the acquired airborne sound signals. Furthermore, by applying the power spectrum density (PSD) estimation method, the frequency characteristics of the acoustic signals are analyzed as well. The results indicate that the welds in full penetration (FP) and PP produce different signatures of acoustic signals that are characterized with different sound pressure levels and frequency distributions ranging from 500 Hz to 1500 Hz. Based on these differences, two algorithms are developed to distinguish the FP from PP during the laser welding process. A real-time monitoring system is implemented by a LabVIEW-based graphic program developed in this research. A feedback control system that could guarantee the FP will be developed in the near future.

Non-destructive Real Time Monitoring of the Laser Welding Process

2012 ◽  
Vol 21 (5) ◽  
pp. 764-769 ◽  
Author(s):  
Hana Sebestova ◽  
Hana Chmelickova ◽  
Libor Nozka ◽  
Jiri Moudry
Keyword(s):  
Laser Welding ◽  
Real Time ◽  
Welding Process ◽  
Real Time Monitoring ◽  
Non Destructive ◽  
Laser Welding Process
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