Reid Andrew, Windmill James
Center for Ultrasonic Engineering, University of Strathclyde, Glasgow, United Kingdom.
3D Print Addit Manuf. 2024 Apr 1;11(2):517-528. doi: 10.1089/3dp.2022.0193. Epub 2024 Apr 16.
Photopolymerization-based additive manufacturing requires selectively exposing a feedstock resin to ultraviolet (UV) light, which in digital light processing is achieved either using a digital micromirror device or a digital mask. The minimum tolerances and resolution for a multilayer process are separate for resolution through the Z-axis, looking through the thickness of a printed part, and resolution in the XY-axes, in the plane of the printed layer. The former depends wholly on the rate of attenuation of the incident UV light through the material relative to the mechanical motion of the build layer, while the latter is determined by a two-dimensional pattern of irradiance on the resin formed by the digital micromirror device or the digital mask. The size or the spacing of elements or pixels of this digital mask is frequently given by manufacturers as the "resolution" of the device, however, in practice the achievable resolution is first determined by the beam distribution from each pixel. The beam distribution is, as standard, modeled as a two-parameter Gaussian distribution but the key parameters of peak intensity and standard deviation of the beam are hidden to the user and difficult to measure directly. The ability of models based on the Gaussian distribution to correctly predict the polymerization of printed features in the microscale is also typically poor. In this study, we demonstrate an alternative model of beam distribution based on a heavy-tailed Lorentzian model, which is able to more accurately predict small build areas for both positive and negative features. We show a simple calibration method to derive the key space parameters of the beam distribution from measurements of a single-layer printed model. We propose that the standard Gaussian model is insufficient to accurately predict a print outcome as it neglects higher-order terms, such as beam skew and kurtosis, and in particular failing to account for the relatively heavy tails of the beam distribution. Our results demonstrate how the amendments to the beam distribution can avoid errors in microchannel formation, and better estimates of the true XY-axes resolution of the printer. The results can be used as the basis for voxel-based models of print solidification that allow software prediction of the photopolymerization process.
基于光聚合的增材制造需要有选择地将原料树脂暴露于紫外(UV)光下,在数字光处理中,这是通过数字微镜器件或数字掩膜来实现的。对于多层工艺,最小公差和分辨率在Z轴分辨率(穿透打印部件的厚度)和XY轴分辨率(在打印层平面内)方面是分开的。前者完全取决于入射紫外光透过材料的衰减速率与构建层机械运动的相对关系,而后者则由数字微镜器件或数字掩膜在树脂上形成的二维辐照度图案决定。制造商通常将此数字掩膜的元件或像素的尺寸或间距作为设备的“分辨率”给出,然而,在实际中,可实现的分辨率首先由每个像素的光束分布决定。按照标准,光束分布被建模为双参数高斯分布,但光束的峰值强度和标准差等关键参数对用户是隐藏的,且难以直接测量。基于高斯分布的模型正确预测微观尺度下打印特征聚合的能力通常也很差。在本研究中,我们展示了一种基于重尾洛伦兹模型的光束分布替代模型,它能够更准确地预测正、负特征的小构建区域。我们展示了一种简单的校准方法,可从单层打印模型的测量中得出光束分布的关键空间参数。我们提出标准高斯模型不足以准确预测打印结果,因为它忽略了高阶项,如光束倾斜度和峰度,尤其未能考虑光束分布相对较重的尾部。我们的结果表明对光束分布的修正如何能够避免微通道形成中的误差,并更好地估计打印机真正的XY轴分辨率。这些结果可作为基于体素的打印固化模型的基础,从而实现对光聚合过程的软件预测。