Polymer-bonded explosives (PBXs) are typically prepared via water suspension granulation (WSG). However, few studies have reported on online monitoring during WSG. In this study, the WSG process for 1,3,5-trinitro-1,3,5-triazacyclohexane (RDX)-based PBXs was monitored using online imaging and infrared detection technology. The images of the particles and droplets obtained during the WSG process were then identified by employing the Mask Region-based Convolutional Neural Network (Mask R-CNN). The characteristic peak of ethyl acetate identified in the online infrared spectra during the WSG process is a key indicator for binder concentration. The experimental results show that the changes in the particle size distribution and particle morphology of the explosive modeling powders are consistent with the actual results, online infrared detection can provide effective guidance for the addition of the binder solution. This new and effective approach can be used to study WSG and has considerable potential for process optimization and quality control.

中文翻译：

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基于深度学习的1,3,5-三硝基-1,3,5-三氮杂环己烷基聚合物粘结炸药水悬浮造粒过程在线图像分析

聚合物粘结炸药 (PBX) 通常通过水悬浮造粒 (WSG) 制备。然而，很少有研究报道 WSG 期间的在线监测。在本研究中，使用在线成像和红外检测技术监测基于 1,3,5-三硝基-1,3,5-三氮杂环己烷 (RDX) 的 PBX 的 WSG 过程。然后使用基于掩模区域的卷积神经网络（Mask R-CNN）识别 WSG 过程中获得的颗粒和液滴的图像。 WSG 过程中在线红外光谱中识别出的乙酸乙酯特征峰是粘合剂浓度的关键指标。实验结果表明，炸药造型粉粒径分布和颗粒形貌的变化与实际结果一致，在线红外检测可以为粘合剂溶液的添加提供有效指导。这种新的有效方法可用于研究 WSG，并且在工艺优化和质量控制方面具有巨大的潜力。