Control-oriented Mechatronic Design and Data Analytics for Quality-assured Laser Powder Bed Fusion Additive Manufacturing
Control-oriented Mechatronic Design and Data Analytics for Quality-assured Laser Powder Bed Fusion Additive Manufacturing
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面向控制的机电一体化设计和数据分析，用于有质量保证的激光粉床融合增材制造
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Xu Chen
中科院分区：
文献类型：
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作者：
Tianyu Jiang;Mengying Leng;Xu Chen
激光粉末床熔融增材制造已得到广泛应用，在可实现的零件复杂性和可加工材料方面具有独特的优势。然而，由于零件质量保证不足，该技术的更大应用仍然受到阻碍。这种长期存在但尚未完全实现的质量保证的主要障碍来自于多尺度激光-材料相互作用中传感和控制方面的挑战。本文介绍了一个全尺寸、完全可访问的聚合物激光粉末床融合试验台的设计，该试验台具有用于现场监测和控制的定制机电一体化设计。我们在尼龙粉末 3D 打印中验证了这些设计。沿着这个过程，我们（1）提出了一种用于控制粉末床温度的多区域加热算法，并验证了其相对于单环控制的优势（2）开发了一个数据处理基础设施，可提取过程特征并过滤测量噪声。
Laser powder bed fusion additive manufacturing has seen widespread use with unique advantages in achievable part complexity and processable materials. However, greater applications of this technique remain hindered by insufficient assurance of part quality. A major barrier to such long-felt but not fully realized quality assurance rises from challenges in sensing and control in presence of multi-scale laser-material interactions. This paper presents the design of a full-scale, fully accessible polymer laser powder bed fusion testbed with tailored mechatronic designs for in-situ monitoring and controls. We validated these designs in 3D printing of nylon powders. Along this process, we (1) propose a multi-zone heating algorithm for controlling powder bed temperature and verify its advantages over single-loop control (2) develop a data processing infrastructure that extracts process signatures and filters measurement noises.