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
影响 在工业涂层应用中实现实时过程监控和质量控制。
排序理由 该集群包含一篇详细介绍新研究方法和实验结果的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
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…
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…