面向面曝光3D打印的模型自适应光照均匀化方法

The Model Adaptive Energy Homogenization Scheme For Mask Projection 3D Printing

  • 摘要: 基于数字光处理技术(DLP)的光固化3D打印技术是一种面曝光成型技术。面曝光工艺一次成型一个平面,因此对光照均匀度有很高的要求,而传统的DLP面光源很难达到很好的均匀度,严重时影响光固化的成型质量。针对这一问题,本文提出了一种面向面曝光3D打印的模型自适应光照均匀化方法。根据模型切片自适应地确定最大曝光区域,结合投影映射函数,通过优化得到最优的切片灰度分布,并将其与原始切片进行融合,用于3D打印。文章所提出的方法能够有效地调节成型区域的成型亮度均匀性,提高打印精度。

     

    Abstract: DLP based photocuring is one of mask projection 3D printingtechniques. The mask projection manufactures a slice at a time,therefore it requires a high degree of light uniformity. However, it is difficult that the general DLP projectors provide the light source with high energy homogenization. Furthermore, the extremely non-uniform light source will influence the quality of the printed products. So this paperdesigned a model adaptive and energy homogenization method to solve this problem. Firstly, we automatically determine the maximum exposure area from the slices of the model. Then we combine with the projection mapping functionto get the optimal gray level distribution for each slice to ensure energy homogenization. By image fusion, we can get the slices with gray level variation, using which3D printing with high precision can be implemented. The result shows, Using the model adaptation and energy homogenization arithmetic can make the energy’s distribution more homogenization and improve the printing accuracy.

     

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