| Title |
Development and Optimization of an Automated Program for Measuring Lamellar Spacing in Ti-6Al-4V Alloy |
| Authors |
박재형(Jaehyung Park) ; 조진우(Jinwoo Cho) ; 허성준(Seungjun Heo) ; 안효주(Hyoju Ahn) ; 박노근(Nokeun Park) |
| DOI |
https://doi.org/10.3365/KJMM.2026.64.6.574 |
| ISSN |
1738-8228(ISSN), 2288-8241(eISSN) |
| Keywords |
Titanium; Lamellar spacing; Microstructure analysis; Python; Image processing; Automated measurement; Metallurgical applications |
| Abstract |
The automated analysis of metallic microstructures significantly enhances the accuracy and efficiency
of lamellar spacing measurement in Ti-6Al-4V compared to traditional manual methods. This study introduces
an automated approach that integrates image preprocessing, scale bar detection, and systematic algorithms to
ensure consistent and reliable measurements across varying magnifications. By reducing subjectivity and
minimizing potential errors inherent in manual measurements, the proposed method achieves high precision
and reproducibility. To ensure that this accuracy is maintained when analyzing multiple microstructure images,
the proposed approach enables efficient processing while preserving measurement reliability. Image
preprocessing techniques, such as noise reduction and contrast enhancement, play a crucial role in extracting
clear lamellar patterns, while precise scale bar detection provides accurate dimensional calibration by converting
pixel-based measurements into real-world units. Building on these preprocessing and calibration steps,
systematic algorithms further streamline the measurement process by automatically identifying and quantifying
lamellar spacing with minimal user input. These algorithms are optimized to detect subtle microstructural
patterns, thereby supporting detailed quantitative analysis for advanced material research and quality control
applications. Overall, by combining accurate preprocessing, reliable calibration, and automated measurement,
this approach effectively overcomes the limitations of conventional manual methods. In addition to improved
measurement accuracy and reproducibility, the method offers practical advantages in terms of scalability and
time efficiency. Its broad applicability positions it as a valuable tool for both research and industrial applications,
advancing the quantitative analysis of metallic microstructures. |