Skip to main content
SpringerLink
Log in

Laser-based precise measurement of tailor welded blanks: a case study

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Precise measurement of tailor-welded blanks is crucial for quality control of laser welding. The difficulty in measuring the seam profile of similar gage tailor–welded blanks lies in lacking of solutions to locate their feature points such as those representing the laser stripe. A laser sensor–based method is proposed to measure tailor-welded blanks based on its laser stripe and texture features, from which the proposed algorithm is employed to extract the feature points for seam profile assessment. The algorithm is evaluated on a laser-based weld seam measurement system, the experiment results show that the proposed method measures the tailor-welded blanks with high accuracy and is suitable for online inspection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Assuncão E, Quintino L, Miranda R (2010) Comparative study of laser welding in tailor blanks for the automotive industry. Int J Adv Manuf Technol 49(1-4):123–131

    Article  Google Scholar 

  2. Merklein M, Johannes M, Lechner M, Kuppert A (2014) A review on tailored blanks-production, applications and evaluation. J Mater Process Tech 214(2):151–164

    Article  Google Scholar 

  3. Sinke J, Iacono C, Zadpoor AA (2010) Tailor made blanks for the aerospace industry. Int J Mater Form 3(1 Supplement):849–852

    Article  Google Scholar 

  4. Anand D, Chen DL, Bhole SD, Andreychuk P, Boudreau G (2006) Fatigue behavior of tailor (laser)-welded blanks for automotive applications. Mat Sci Eng A 420(1-2):199–207

    Article  Google Scholar 

  5. Nguyen HC, Lee BR (2014) Laser-vision-based quality inspection system for small-bead laser welding. Int J Precis Eng Man 15(3):415–423

    Article  Google Scholar 

  6. Abdullah K, Wild PM, Jeswiet JJ, Ghasempoor A (2001) Tensile testing for weld deformation properties in similar gage tailor welded blanks using the rule of mixtures. J Mater Process Tech 112(1):91–97

    Article  Google Scholar 

  7. You DY, Gao XD, Katayama S (2014) Multisensor fusion system for monitoring high-power disk laser welding using support vector machine. IEEE T Ind Inform 10(2):1285–1295

    Article  Google Scholar 

  8. Li Y, Li YF, Wang QL, Xu D, Tan M (2010) Measurement and defect detection of the weld bead based on online vision inspection. IEEE T Instrum Meas 59(7):1841–1849

    Article  Google Scholar 

  9. Salzburger HJ (2010) EMAT’s and its potential for modern NDE-state of the art and latest applications-. Ultrasonics Symposium

  10. Stavridis J, Papacharalampopoulos A, Stavropoulos P (2018) Quality assessment in laser welding: a critical review. Int J Adv Manuf Technol 94(1):1–23

    Google Scholar 

  11. Schreiber D, Cambrini L, Biber J, Sardy B (2009) Online visual quality inspection for weld seams. Int J Adv Manuf Technol 42(5-6):497–504

    Article  Google Scholar 

  12. Ye GL, Guo JW, Sun ZZ, Li C, Zhong SY (2018) Weld bead recognition using laser vision with model-based classification. Robot Cim-int Manuf 52:9–16

    Article  Google Scholar 

  13. O’Connor S, Clapham L, Wild P (2002) Magnetic flux leakage inspection of tailor-welded blanks. Meas Sci Technol 13(2): 157–162

    Article  Google Scholar 

  14. Chu HH, Wang ZY (2016) A vision-based system for post-welding quality measurement and defect detection. Int J Adv Manuf Technol 86(9-12):3007–3014

    Article  Google Scholar 

  15. He YS, Chen YX, Xu YL, Huang YM, Chen SB (2016) Autonomous detection of weld seam profiles via a model of saliency-based visual attention for robotic arc welding. J Intell Robot Syst 81(3-4):395–406

    Article  Google Scholar 

  16. Moon HS, Kim YB, Beattie RJ (2006) Multi sensor data fusion for improving performance and reliability of fully automatic welding system. Int J Adv Manuf Technol 28(3-4):286–293

    Article  Google Scholar 

  17. Zhang JG, Tan TN (2002) Brief review of invariant texture analysis methods. Pattern Recogn 35(3):735–747

    Article  Google Scholar 

  18. Bharati MH, Liu JJ, MacGregor JF (2004) Image texture analysis: methods and comparisons. Chemometr Intell Lab Syst 72(1): 57–71

    Article  Google Scholar 

  19. Materka A, Strzelecki M (1998) Texture Analysis Methods: A Review. Technical University of Lodz COST B11 Report

  20. Mohanaiah P, Sathyanarayana P, GuruKumar L (2013) Image texture feature extraction using glem approach. Int J Sci Res Publ 3(5):1–5

    Google Scholar 

  21. Usamentiaga R, Molleda J, García DF (2012) Fast and robust laser stripe extraction for 3D reconstruction in industrial environments. Mach Vision Appl 23(1):179–196

    Article  Google Scholar 

  22. Sun QC, Chen J, Li CJ (2015) A robust method to extract a laser stripe centre based on grayscale level moment. Opt Laser Eng 67:122–127

    Article  Google Scholar 

Download references

Acknowledgments

The experiments are conducted at Shenyang Institute of Automation, Chinese Academy of Sciences.

Funding

This study is supported by the Natural Science Foundation of China under Grant Nos. 51405481, 51705341, and 51705340 and the Natural Science Foundation of Liaoning Province under Grant No. 20180551124.

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Shenyang Jianzhu University, No.25, Hunnan Middle Road, Shenyang, 110168, China

    Yuanyuan Zou

  2. National-Local Joint Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone, Shenyang, 110168, China

    Yuanyuan Zou

  3. Vision and Intelligent System, Micro-Nano Automation Institute, Xiangcheng Avenue, Suzhou, 215000, China

    Kezhu Zuo

  4. School of Computing, University of Portsmouth, Lion Terrace, Portsmouth, PO1 3HE, UK

    Honghai Liu & Dalin Zhou

Authors
  1. Yuanyuan Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kezhu Zuo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Honghai Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dalin Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yuanyuan Zou.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zou, Y., Zuo, K., Liu, H. et al. Laser-based precise measurement of tailor welded blanks: a case study. Int J Adv Manuf Technol 107, 3795–3805 (2020). https://doi.org/10.1007/s00170-020-05090-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-05090-7

Keywords

Search

Navigation