构建了316L不锈钢LPBF工艺的高帧率视频数据集，用于重建激光参数。
Reference Dataset and Benchmark for Reconstructing Laser Parameters from On-axis Video in Powder Bed Fusion of Bulk Stainless Steel
- 通过20k FPS on-axis视频采集激光功率与扫描速度的独立变化数据
- 覆盖连续分布参数组合，支持异常检测与统计特性建模
- 提供基准模型与公开评测平台，适合工艺优化研究者使用
我们提出RAISE-LPBF，一个关于316L不锈钢块体材料粉末床熔融（LPBF）中激光功率与激光点速影响的大规模数据集，采用on-axis 20k FPS高速视频进行监测。每个扫描线的工艺参数均从连续分布中独立采样，可探究不同参数组合间的相互作用。该数据可用于提取LPBF的统计特性，也可用于构建异常检测器。我们提供了数据加载示例代码、基线机器学习模型与结果，以及一个公开的基准评测平台，用于评估预测模型性能。
原文摘要 · Abstract (English)
We present RAISE-LPBF, a large dataset on the effect of laser power and laser dot speed in powder bed fusion (LPBF) of 316L stainless steel bulk material, monitored by on-axis 20k FPS video. Both process parameters are independently sampled for each scan line from a continuous distribution, so interactions of different parameter choices can be investigated. The data can be used to derive statistical properties of LPBF, as well as to build anomaly detectors. We provide example source code for loading the data, baseline machine learning models and results, and a public benchmark to evaluate predictive models.
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