Uncooled MWIR PbSe technology outperforms CMOS in RT closed-loop control and monitoring of laser processing

Rodríguez-Araújo, Jorge; García-Díaz, Antón; Panadeiro, Verónica; Knaak, Christian

doi:10.1364/aio.2017.ath2a.2

Cited by 3 publications

(1 citation statement)

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“…The first step to reach the project objectives is to properly monitor thermal gradients in the process, especially in the fused material, known as melt pool. For this task, mid-wave infrared (MWIR) cameras are used, since they have demonstrated to be more effective than visible [3] and near infrared (NIR) [4] cameras. MWIR spectral range (1-6µm) allows thermal information to be captured at the high temperatures of the laser process (800-1,400ºC), where most of the visible and laser radiation is filtered.…”

Section: Introductionmentioning

confidence: 99%

Online Calculation of Melt Pool Cooling Rate with Automatic Background Correction

Lois

Molanes

Gonzalez-Val

et al. 2019

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

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This paper presents a generic method to process mid-wave infrared (MWIR) images in laserbased manufacturing processes. The background noise of the camera is used as a source of information for correcting different problems that affect MWIR cameras. The mean of the noise distribution is used to correct the background drift due to sensor heat-up, whereas the standard deviation is used to generate dynamic thresholds for subsequent algorithms. The proposed method is portable, robust, and independent of the background, scale, and optical and electronic aberrations of the camera. The method is validated in the calculation of melt pool cooling rate. Performance is tested in a real scenario using a Field Programmable System-on-Chip platform. Results show that the system is capable of sending to a remote computer MWIR images at 1,435 frames per second and cooling rate information at a rate of 10,680 samples per second.

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Section: Introductionmentioning

confidence: 99%