English(EN) Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying

AI通过视频预测等离子喷涂中的颗粒特性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-05 16:09

研究人员开发了一种使用高速视频预测大气等离子喷涂（APS）中颗粒特性的方法。该技术旨在无损地监测颗粒的温度和速度，这对于涂层质量至关重要。评估了包括TabPFN和CNN在内的各种机器学习模型，其中预训练的CNN在直接从视频帧预测温度和速度方面取得了最高的准确性。 AI

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arXiv cs.LG TIER_1 English(EN) · Abhijeet Praveen, Sareh Soleimani, Cormac Cureton, Aman Sidhu, Kintak Raymond Yu, Cristian Cojocaru, Narges Armanfard · 2026-06-08 04:00

大气等离子喷涂中飞行中颗粒特性的视频预测

arXiv:2606.07416v1 Announce Type: new Abstract: Atmospheric plasma spraying (APS) is a widely used coating process in which in-flight particle temperature and velocity strongly influence coating quality. However, these particle characteristics are difficult to monitor continuousl…
arXiv cs.LG TIER_1 English(EN) · Narges Armanfard · 2026-06-05 16:09

大气等离子喷涂中飞行中颗粒特性的视频预测

Atmospheric plasma spraying (APS) is a widely used coating process in which in-flight particle temperature and velocity strongly influence coating quality. However, these particle characteristics are difficult to monitor continuously during operation, motivating the development o…