Skip to main content
Top

2018 | OriginalPaper | Chapter

Real-Time Implementation of a Joint Tracking System in Robotic Laser Welding Based on Optical Camera

Authors : Qi Zhang, Shanglei Yang, Haobo Liu, Chaojie Xie, Yaming Cao, Yuan Wang

Published in: Transactions on Intelligent Welding Manufacturing

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Robotic laser welding has been widely applied to industries due to its high flexibility and productivity. However, there are still some constrain such as heat induced deformation and inevitable fixture errors, which can affect the laser beam positioning to deviate from joint center, and that will lead to poor welding quality. In order to ensure high quality welding, a joint tracking system is needed to track the joint center in real time to keep the focus of laser beam following the weld joint consistently. This paper introduces laser welding, describes composition of a real-time joint tracking system which mainly includes image acquisition part, image process and analysis part, and motion control part, reviews relevant investigations of joint tracking system and algorithm. Although there are successful applications in real-time joint tracking, the systems and algorithms can only be used in limited situations. So, future research can be focused on problems such as the promotion of system performance, the commercial solutions for joint tracking, etc.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Katayama S, Kawahito Y (2008) Laser direct joining of metal and plastic. Scripta Mater 59(12):1247–1250CrossRef Katayama S, Kawahito Y (2008) Laser direct joining of metal and plastic. Scripta Mater 59(12):1247–1250CrossRef
2.
go back to reference Wu Q, Gong JK, Chen GY et al (2008) Research on laser welding of vehicle body. Opt Laser Technol 40(2):420–426CrossRef Wu Q, Gong JK, Chen GY et al (2008) Research on laser welding of vehicle body. Opt Laser Technol 40(2):420–426CrossRef
3.
go back to reference Gao X, You D, Katayama S (2012) Infrared image recognition for seam tracking monitoring during fibre laser welding. Mechatronics 22(4):370–380CrossRef Gao X, You D, Katayama S (2012) Infrared image recognition for seam tracking monitoring during fibre laser welding. Mechatronics 22(4):370–380CrossRef
4.
go back to reference Huang W, Kovacevic R (2012) Development of a real-time laser-based machine vision system to monitor and control welding processes. Int J Adv Manuf Technol 63(1–4):235–248CrossRef Huang W, Kovacevic R (2012) Development of a real-time laser-based machine vision system to monitor and control welding processes. Int J Adv Manuf Technol 63(1–4):235–248CrossRef
5.
go back to reference Li Y et al (2006) Girth seam tracking system based on vision for pipe welding robot. In: Proceedings of 2006 international conference on robotic welding, intelligence and automation, vol 362, Springer, Shanghai, pp 391–399 Li Y et al (2006) Girth seam tracking system based on vision for pipe welding robot. In: Proceedings of 2006 international conference on robotic welding, intelligence and automation, vol 362, Springer, Shanghai, pp 391–399
6.
go back to reference Nayak N, Ray A (2013) Intelligent joint tracking for robotic welding. Nayak N & Ray A, London, pp 1350–1351 Nayak N, Ray A (2013) Intelligent joint tracking for robotic welding. Nayak N & Ray A, London, pp 1350–1351
7.
go back to reference Huang Y, Xiao Y, Wang P et al (2013) A seam-tracking laser welding platform with 3D and 2D visual information fusion vision sensor system. Int J Adv Manuf Technol 67(1–4):415–426CrossRef Huang Y, Xiao Y, Wang P et al (2013) A seam-tracking laser welding platform with 3D and 2D visual information fusion vision sensor system. Int J Adv Manuf Technol 67(1–4):415–426CrossRef
8.
go back to reference Gu WP, Xiong ZY, Wan W (2013) Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor. Int J Adv Manuf Technol 69(1):451–460CrossRef Gu WP, Xiong ZY, Wan W (2013) Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor. Int J Adv Manuf Technol 69(1):451–460CrossRef
9.
go back to reference Wang XP et al (2014) Weld joint detection and feature extraction based on laser vision. In: Proceedings of 33rd Chinese control conference, IEEE, Nanjing, pp 8249–8252 Wang XP et al (2014) Weld joint detection and feature extraction based on laser vision. In: Proceedings of 33rd Chinese control conference, IEEE, Nanjing, pp 8249–8252
10.
go back to reference Lin SB, Yang CL, Beattie RJ (2004) Applications of laser seam tracking to welding thick wall vessels. Weld Joining 11:15–18 Lin SB, Yang CL, Beattie RJ (2004) Applications of laser seam tracking to welding thick wall vessels. Weld Joining 11:15–18
11.
go back to reference Shen JM, Du XJ, Lu MH (2012) Application of smart laser probe to continuous welded stainless pipe line. Technol Dev Enterp 31(25):34–35 Shen JM, Du XJ, Lu MH (2012) Application of smart laser probe to continuous welded stainless pipe line. Technol Dev Enterp 31(25):34–35
12.
go back to reference Wang ZH (2011) Welding process. Beijing normal university publishing group, Beijing, pp 188–194 Wang ZH (2011) Welding process. Beijing normal university publishing group, Beijing, pp 188–194
13.
go back to reference Nilsen M (2017) Optical detection of joint position in zero gap laser beam welding. Dissertation, University West Nilsen M (2017) Optical detection of joint position in zero gap laser beam welding. Dissertation, University West
14.
go back to reference Steen WM, Mazumder J (2010) Laser material processing. Springer Science & Business Media, London, pp 157–199CrossRef Steen WM, Mazumder J (2010) Laser material processing. Springer Science & Business Media, London, pp 157–199CrossRef
15.
go back to reference Agapakis JE (1990) Approaches for recognition and interpretation of workpiece surface features using structured lighting. Int J Robot Res 9(5):3–16CrossRef Agapakis JE (1990) Approaches for recognition and interpretation of workpiece surface features using structured lighting. Int J Robot Res 9(5):3–16CrossRef
17.
go back to reference Verma DA, Gor M (2010) Forward kinematics analysis of 6-dof arc welding robot. Int J Eng Sci Technol 2(9):4682–4686 Verma DA, Gor M (2010) Forward kinematics analysis of 6-dof arc welding robot. Int J Eng Sci Technol 2(9):4682–4686
18.
go back to reference Wang ZX, Fan WX, Zhang BC et al (2012) Kinematical analysis and simulation of industrial robot based on Matlab. J Mech Electr Eng 29(1):34–37 Wang ZX, Fan WX, Zhang BC et al (2012) Kinematical analysis and simulation of industrial robot based on Matlab. J Mech Electr Eng 29(1):34–37
19.
go back to reference Huegel H et al (1999) Laser beam welding: recent developments on process conduction and quality assurance. In: Proceedings of tenth international school on quantum electronics: laser physics and applications, vol. 3571, SPIE, Germany, pp 52–60 Huegel H et al (1999) Laser beam welding: recent developments on process conduction and quality assurance. In: Proceedings of tenth international school on quantum electronics: laser physics and applications, vol. 3571, SPIE, Germany, pp 52–60
20.
go back to reference Eriksson I, Kaplan A (2009) Evaluation of laser weld monitoring: A case study. In: Proceedings of ICALEO, vol. 102, DiVA, Sweden, pp 1419–1425 Eriksson I, Kaplan A (2009) Evaluation of laser weld monitoring: A case study. In: Proceedings of ICALEO, vol. 102, DiVA, Sweden, pp 1419–1425
21.
go back to reference Cai Y, Yang Q, Sun D et al (2014) Monitoring of deviation status of incident laser beam during CO2 laser welding processes for I-core sandwich construction. Int J Adv Manuf Technol 77(1–4):305–320 Cai Y, Yang Q, Sun D et al (2014) Monitoring of deviation status of incident laser beam during CO2 laser welding processes for I-core sandwich construction. Int J Adv Manuf Technol 77(1–4):305–320
23.
go back to reference Wu QQ, Lee JP, Park MH et al (2015) A study on the modified Hough algorithm for image processing in weld seam tracking. J Mech Sci Technol 29(11):4859–4865CrossRef Wu QQ, Lee JP, Park MH et al (2015) A study on the modified Hough algorithm for image processing in weld seam tracking. J Mech Sci Technol 29(11):4859–4865CrossRef
24.
go back to reference Chang D, Son D, Lee J et al (2012) A new seam-tracking algorithm through characteristic-point detection for a portable welding robot. Robot Comput Integr Manuf 28(1):1–13CrossRef Chang D, Son D, Lee J et al (2012) A new seam-tracking algorithm through characteristic-point detection for a portable welding robot. Robot Comput Integr Manuf 28(1):1–13CrossRef
25.
go back to reference Gao XD, Na SJ (2005) Detection of weld position and seam tracking based on Kalman filtering of weld pool images. J Manuf Syst 24(1):1–12CrossRef Gao XD, Na SJ (2005) Detection of weld position and seam tracking based on Kalman filtering of weld pool images. J Manuf Syst 24(1):1–12CrossRef
26.
go back to reference Gao JM (2016) Industrial robot motion control for joint tracking in laser welding. Dissertation, University West Gao JM (2016) Industrial robot motion control for joint tracking in laser welding. Dissertation, University West
Metadata
Title
Real-Time Implementation of a Joint Tracking System in Robotic Laser Welding Based on Optical Camera
Authors
Qi Zhang
Shanglei Yang
Haobo Liu
Chaojie Xie
Yaming Cao
Yuan Wang
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-8330-3_6