講演情報
[7p-N322-3]Corrosion monitoring of 3D printed parts using hyperspectral imaging and spectral angle mapper
〇(M2)SIMEON Simeon RUKUNDO1, Maria Merlin Anthony1, Keerthi K1, Murukeshan Vadakke Matham1 (1.Centre for Optical and Laser Engineering, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore,)
キーワード：
Corrosion detection、Hyperspectral imaging、Non destructive inspection
Corrosion or contamination is one of the major concerns affecting the product quality in 3D metal printed parts. Early detection of corrosion or contamination in 3D printed parts maintains its mechanical strength and extends their lifetime. In this context, this paper proposes and demonstrates an automated method to detect corrosion and perform corrosion mapping in 3D printed parts by integrating a spectral imaging technique with spectral angle mapper (SAM) classification algorithm. This technique is very relevant for real-time and non-destructive automated inspection. Unlike traditional methods relying on RGB sensors, hyperspectral imaging (HSI) captures reflectance across hundreds of wavelengths from multiple spatial points on the sample. HSI approach enables rigorous analysis of reflectance, facilitating the identification of corrosion that goes undetected by RGB sensors.