20.500.12556/RUL-143900 Fusing optical coherence tomography and photodiodes for diagnosis of weld features during remote laser welding of copper-to-aluminum This study has been designed to investigate whether variations in the features of laser weldments can be isolated and diagnosed by fusing photodiodes and optical coherence tomography (OCT). Two manufacturing scenarios (variation in laser power and focal offset) have been considered during remote laser welding of 0.2 mm thick Cu foils on 2 mm thick Al 1050 plates with an adjustable ring mode laser integrated with a 1D oscillation head. The process was monitored by measuring weld penetration depth with OCT and by process emissions (plasma and back-reflection) via photodiodes. The acquisition frequency of all signals was 40 kHz. Strong correlations (r > 0.75) were shown between plasma, back-reflection, and OCT signals and measured depth and width of the weld. Weak correlations (r < 0.5) between voids, cracks, and sensor signals were observed. Although plasma is the predominant signal that carries most of the information about the process, and the OCT allows direct measurement of the penetration depth, their integration reached 87% classification accuracy of the tested welding scenarios. The main misclassification was observed between “good weld” and “over weld,” defined by the measured weld depth. Sensor fusion strategies with manufacturing implications are discussed throughout the paper. laser welding process monitoring OCT photodetectors lasersko varjenje nadzor procesa OCT fotodetektorji true false true Angleški jezik Slovenski jezik Članek v reviji 2023-01-18 13:58:42 2023-01-18 13:58:48 2025-04-23 10:47:31 0000-00-00 00:00:00 2023 0 0 10 str, Vol. 35 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.791 1042-346X 10.2351/7.0000803 138309123 Brezan_..._Fusing_optical_coherence_tomography_....pdf Brezan_..._Fusing_optical_coherence_tomography_....pdf 1 71F1B5C39603D979B868C04A710AAC14 5c9c1b7ae035d869f7eb75602f672bc76dbb3a056ca3cfef3680ea983ba296b2 1cc0299d-9730-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=165955 https://lia.scitation.org/doi/10.2351/7.0000803 1 ad9e152f-972f-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=165954 Fakulteta za strojništvo 0 0 0