การศึกษาพารามิเตอร์การสแกนสามมิติต่อความคลาดเคลื่อนการวัดขนาดชิ้นงาน วัสดุอะลูมิเนียม AA6063

Kritsana Uamnuson; Panudet  Saengseedam; Voravee  Punyakum; Pichai  Janmanee

Authors

Kritsana Uamnuson Rajamangala University of Technology Krungthep, 2 Nang Linchi Road, Thung Maha Mek, Sathon, Bangkok, 10120
Panudet Saengseedam Rajamangala University of Technology Krungthep, 2 Nang Linchi Road, Thung Maha Mek, Sathon, Bangkok, 10120
Voravee Punyakum Rajamangala University of Technology Krungthep, 2 Nang Linchi Road, Thung Maha Mek, Sathon, Bangkok, 10120
Pichai Janmanee Rajamangala University of Technology Krungthep, 2 Nang Linchi Road, Thung Maha Mek, Sathon, Bangkok, 10120

Keywords:

3D Scanning, Aluminum Alloy AA6063, Parameter Optimization, Resolution, Shutter

Abstract

This study aims to investigate the effects of three–dimensional (3D) scanning parameters on dimensional measurement errors of aluminum alloy AA6063 components, with results compared against a contact–type coordinate measuring machine (CMM) arm. The scanning parameters examined include resolution values of 0.2, 0.6, and 1.0 mm, and shutter time values of 2, 5, and 8 ms. The relationships between these parameters and measurement error were analyzed using linear regression analysis. The experimental results demonstrate that resolution has a statistically significant effect on dimensional error (p = 0.010), with increasing resolution values leading to increased measurement errors. Conversely, shutter time shows no statistically significant influence on measurement error (p = 0.221) at a significance level of 0.05. The lack–of–fit test yields a p–value of 0.764, confirming that the developed regression model is adequate and reliable for describing the relationship between scanning parameters and measurement error. Pareto chart analysis confirms that resolution is the dominant factor affecting 3D scanning error, whereas shutter time does not exhibit a significant effect. These findings are consistent with surface reconstruction data showing that mesh density decreases as resolution increases, resulting in geometric inaccuracies at corners, edges, and curved surfaces relative to the reference geometry. Response optimization analysis identifies the optimal parameter combination as 0.2 mm resolution and 8 ms shutter time, yielding a minimum dimensional error of approximately 0.0099 mm. Boxplot analysis reveals the distribution of measurement errors and identifies several outliers, which may be attributed to light scattering effects, environmental conditions, and surface roughness of the aluminum material. The findings of this study provide practical guidelines for determining appropriate scanning parameters for 3D scanning of aluminum AA6063 components to enhance dimensional measurement accuracy and effectiveness in reverse engineering applications.

References

K. Ostrowska, A. Gąska, R. Kupiec, K. Gromczak, P. Wojakowski, and J. Sładek, “Comparison of Accuracy of Virtual Articulated Arm Coordinate Measuring Machine Based on Different Metrological Models,” Measurement, vol. 129, pp. 320–332, Dec. 2018, doi: 10.1016/j.measurement.2018.10.024.

A. Gąska, P. Gąska, W. Harmatys, M. Gruza, and J. Sładek, “Simple Method for Articulated Arm Coordinate Measuring Machines Task–Specific Accuracy Assessment,” Measurement: Sensors, vol. 18, p. 100158, Dec. 2021, doi: 10.1016/j.measen.2021.100158.

Y. Sun, L. Lu, F. Wu, S. Xiao, J. Sha, and L. Zhang, “Error Analysis of a Coordinate Measuring Machine with a 6–DOF Industrial Robot Holding the Probe,” Actuators, vol. 12, no. 4, p. 173, Apr. 2023, doi: 10.3390/act12040173.

Allied Market Research, “3D Scanning Market Statistics and Industry Forecast,” Allied Market Research, n.d. [Online]. Available: https://www.alliedmarketresearch.com/3D–scanning–market (accessed Jan. 24, 2026).

Grand View Research, “Asia Pacific 3D Scanning Market Size & Outlook, 2025–2030,” Grand View Research, n.d. [Online]. Available: https://www.grandviewresearch.com/horizon/outlook/3d–scanning–market/asia–pacific (accessed Jan. 24, 2026).

T. Usupan and P. Prempraneerach, “Performance Enhancement Mechanism of Laser Scanner for 3D Surface Reconstruction,” Frontiers in Engineering Innovation Research, vol. 16, no. 2, pp. 23–35, 2018.

Z. Mukhriz, M. Mukhsin, and I. A. Ishak, “Accuracy Analysis of a 3D Scanner on Small Dimension Object,” Progress in Engineering Application and Technology, vol. 6, no. 1, pp. 814–824, 2025, doi: 10.30880/peat.2025.06.01.087.

D. Kustrzycka, T. Marschang, M. Mikulewicz, and W. Grzebieluch, “Comparison of the Accuracy of 3D Images Obtained from Different Types of Scanners,” Journal of Healthcare Engineering, vol. 2020, Article ID 8854204, 2020, doi: 10.1155/2020/8854204.

The Aluminum Association, International Alloy Designations and Chemical Composition Limits for Wrought Aluminum and Wrought Aluminum Alloys, Arlington, VA, USA: The Aluminum Association, 2018.

AZoM, “Aluminium 6063 – Specifications, Properties, Classifications and Classes,” AZoM, Sep. 12, 2013. [Online]. Available: https://www.azom.com/article.aspx?ArticleID=2812 (accessed Jan. 24, 2026).

J. R. Davis, Aluminum and Aluminum Alloys, Materials Park, OH, USA: ASM International, 1993, pp. 351–416.

Aluminium Shop Online, “Knowledge Guide for Aluminium Grade 6063–T5 (Aluminium 6063–T5),” aluminiumshop.net, n.d. [Online]. Available: https://www.aluminiumshop.net/article–detail.html?id=1 (accessed Jun. 21, 2026) (in Thai).

ASM International Handbook Committee, ASM Handbook, Volume 5: Surface Engineering, Materials Park, OH, USA: ASM International, 1994.

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3–D Scanning,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL–5/W8, pp. 7–15, 2016.

T. T. No, S. C. Feng, and J. D. Summers, “Structured Light Scanning Artifact–Based Performance Study,” Manufacturing Letters, vol. 35, pp. 873–882, 2023.

M. E. Polo, A. Cuartero, and A. M. Felicísimo, “Study of Uncertainty and Repeatability in Structured–Light 3D Scanners,” Sensors, vol. 19, no. 21, pp. 1–18, 2019.

R. Leach, S. Giusca, S. Haitjema, and P. Evans, “Mapping and Correcting the Distortion of Structured Light Scanners,” Precision Engineering, vol. 72, pp. 543–555, 2021.