TY - GEN
T1 - Surface Roughness Characterization of Small-Bore Fittings using the Confocal Chromatic Measurement System
AU - Keller, Erin
AU - Mahabadi, Nariman
AU - Barkana, Buket D.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The physical and mechanical characteristics of manufactured surfaces determine the performance properties of machine parts. The surface roughness characterizes the surface quality and significantly impacts machine parts and products. Confocal chromatic measurement techniques have shown significant improvement in real-time high-resolution profile measurement during inspection. However, the application of confocal chromatic sensors is still limited for the purpose of inspection in restricted reflective spaces. This work proposed a confocal chromatic measurement system to characterize the surface roughness in small-bore fittings with restricted space. The system consists of median and Gaussian filters and a characterization stage, which computes nineteen parameters to describe the surface. We tested the system on the Flexbar's Surface Roughness Standards Set calibration plate, as-machined, post-machined, and rejected small-bore fittings. Statistical moments, autocorrelation function, and the percentage of total power between 100Hz and 150Hz were especially found to be effective in surface roughness characterization.
AB - The physical and mechanical characteristics of manufactured surfaces determine the performance properties of machine parts. The surface roughness characterizes the surface quality and significantly impacts machine parts and products. Confocal chromatic measurement techniques have shown significant improvement in real-time high-resolution profile measurement during inspection. However, the application of confocal chromatic sensors is still limited for the purpose of inspection in restricted reflective spaces. This work proposed a confocal chromatic measurement system to characterize the surface roughness in small-bore fittings with restricted space. The system consists of median and Gaussian filters and a characterization stage, which computes nineteen parameters to describe the surface. We tested the system on the Flexbar's Surface Roughness Standards Set calibration plate, as-machined, post-machined, and rejected small-bore fittings. Statistical moments, autocorrelation function, and the percentage of total power between 100Hz and 150Hz were especially found to be effective in surface roughness characterization.
KW - Ra
KW - bore fitting
KW - confocal chromatic sensor
KW - manufacturing
KW - surface roughness
UR - https://www.scopus.com/pages/publications/85208257965
UR - https://www.scopus.com/pages/publications/85208257965#tab=citedBy
U2 - 10.1109/CoDIT62066.2024.10708302
DO - 10.1109/CoDIT62066.2024.10708302
M3 - Conference contribution
AN - SCOPUS:85208257965
T3 - 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024
SP - 609
EP - 614
BT - 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024
Y2 - 1 July 2024 through 4 July 2024
ER -