Research on the Quality of Laser Marked Data Matrix Symbols

Chun Ling Li; Chang Hou Lu; Jian Mei Li

doi:10.4028/www.scientific.net/KEM.764.219

Paper Titles

Finite Element Analysis on Single Abrasive Grinding Ti6Al4V Alloy
p.184

Nanosecond Laser Direct-Part Marking of Data Matrix Symbols on Titanium Alloy Substrates
p.194

The Roll-Forming Process Analysis of the Situation and Development Trend
p.201

Effect of Ultrasonic Vibration Assisted Grinding Process on Surface Topography and Properties of C/SiC Composite
p.210

Research on the Quality of Laser Marked Data Matrix Symbols
p.219

Optimization and Affections of Cathode Feed Angle on Machining Accuracy Error Distribution of Aero-Engine Blade in Electrochemical Machining
p.225

Study on Honing Mechanism of Gear Surface Using an Internal Honing Wheel Based on Single-Particle Abrasive
p.235

Study on Two-Step Aging Technology of 6082 Aluminum Bumper
p.245

Research on Milling Force in Ultrasonic Assisted End Milling of Titanium Alloy Thin-Walled Parts
p.252

HomeKey Engineering MaterialsKey Engineering Materials Vol. 764Research on the Quality of Laser Marked Data...

Research on the Quality of Laser Marked Data Matrix Symbols

Abstract:

To evaluate the quality of the laser direct part marked Data Matrix symbols on titanium alloy substrates, the quality assessment methods at home and abroad were compared. A new quality assessment method of combining the effect of the laser on substrate materials and symbol grade of laser marked Data Matrix was put forward. Depending on previous research works, orthogonal experiment results were analyzed again and a modified nonlinear mathematics model was established. Analysis results indicate that this modified model can explain 90.6% of symbol contrast change and it is statistically significant. So it is better than previous linear regression model and can be used to estimate the quality of laser marked Data Matrix symbols on titanium alloy substrates. The nonlinear mathematics model can also explain the laser parameters influence on the symbol contrast.

You might also be interested in these eBooks

Advanced Materials and Manufacturing Technology III

View Preview

Info:

Periodical:

Key Engineering Materials (Volume 764)

Pages:

219-224

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.764.219

Citation:

Cite this paper

Online since:

February 2018

Authors:

Chun Ling Li*, Chang Hou Lu, Jian Mei Li

Keywords:

Data Matrix Symbol, Laser Mark, Nonlinear Regression Model, Symbol Contrast

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] D. Daniel Sheu: Journal of Manufacturing Systems, Vol. 19(2000), p.202.

Google Scholar

[2] H. Hayakawa: Proceedings of SPIE, Vol. 4088(2000), p.363.

Google Scholar

[3] J. Qi, K. L. Wang, and Y. M. Zhu: Materials Processing Technology, Vol. 139(2003), p.273.

Google Scholar

[4] F. Ba: Proceedings of SPIE, Vol. 3550(1998), p.336.

Google Scholar

[5] C. Leone, S. Genna, and G. Caprino: Materials Processing Technology, Vol. 210(2010), p.1297.

Google Scholar

[6] ISO: ISO/IEC 16022: 2000 Information technology-Automatic identification and data capture techniques-Bar code print quality test specification-Two dimensional symbols (ISO Press, Geneva, Switzerland 2004).

DOI: 10.3403/30401701

Google Scholar

[7] Witaya Jangsombatsiri and J. David Porter: Manufacturing Science and Engineering, Vol. 129(2007), p.583.

Google Scholar

[8] H. D. Qiu, C. H. Lu, and R. J. Xiao: Chinese Journal of Lasers, Vol. 38(2011), p.1, In Chinese.

Google Scholar

[9] C. L. Li: Advanced Materials Research, Vol. 941-944(2014), p.2165.

Google Scholar

[10] C. L. Li: Advanced Materials Research, Vol. 941-944(2014), p.2161.

Google Scholar

[11] C. L. Li: Advanced Materials Research, Vol. 915-916(2014), p.1018.

Google Scholar

[12] C. L. Li: Advanced Materials Research, Vol. 915-916(2014), p.1027.

Google Scholar