自动曝光体积增材制造
Automatic exposure volumetric additive manufacturing
AI总结：
针对断层扫描体积增材制造曝光时间依赖人工判断、重复性差的问题，提出基于实时光散射数据处理的自动曝光程序，提升了打印保真度与重复性，可适配多种几何结构并支持多零件制造。
摘要：
断层扫描体积增材制造（VAM）通过连续的体积光图案化实现高打印速度和设计自由度，这与使用短暂的连续（2D）平面或（1D）点局部曝光的传统槽式光聚合技术不同。体积光图案化的缺点是曝光窗口小，由于光线穿过构建体积时产生的非零背景剂量，过度曝光会迅速导致零件外体素固化。对于断层扫描VAM而言，正确的曝光时间对实现高重复性至关重要，但我们发现，根据树脂的使用历史不同，正确的曝光时间差异可达近40%。目前，断层扫描VAM的曝光时间由人工主观判断打印完成情况来设定，过程繁琐且重复性差。本文中，我们利用光散射数据的实时处理，为断层扫描VAM实现了一套鲁棒的自动曝光程序，无需人工干预即可获得准确且可重复的打印结果。其打印保真度和重复性接近商用树脂3D打印机，在某些情况下甚至更优。我们证明，自动曝光VAM能很好地适用于带有小型正负特征的各种打印几何结构。自动曝光VAM的重复性和准确性使其能够制造多零件物体，满足了增材制造技术的一项主要要求。
英文摘要：
Tomographic volumetric additive manufacturing (VAM) achieves high print speed and design freedom by continuous volumetric light patterning. This differs from traditional vat photopolymerization techniques that use brief sequential (2D) plane- or (1D) point-localized exposures. The drawback to volumetric light patterning is the small exposure window. Overexposure quickly leads to cured out-of-part voxels due to the nonzero background dose arising from light projection through the build volume. For tomographic VAM, correct exposure time is critical to achieving high repeatability, however, we find that correct exposure time varies by nearly 40% depending on resin history. Currently, tomographic VAM exposure is timed based on subjective human determination of print completion, which is tedious and yields poor repeatability. Here, we implement a robust auto exposure routine for tomographic VAM using real-time processing of light scattering data, yielding accurate and repeatable prints without human intervention. The resulting print fidelity and repeatability approaches, and in some cases, exceeds that of commercial resin 3D printers. We show that auto exposure VAM generalizes well to a wide variety of print geometries with small positive and negative features. The repeatability and accuracy of auto exposure VAM allows for building multi-part objects, fulfilling a major requirement of additive manufacturing technologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
