WU Li-fang, ZHAO Li-dong, QIU Jian-kang, JIAN Meng, GUO Xiao-hua. The Model Adaptive Energy Homogenization Scheme For Mask Projection 3D Printing[J]. JOURNAL OF SIGNAL PROCESSING, 2017, 33(10): 1308-1316. DOI: 10.16798/j.issn.1003-0530.2017.10.005
Citation: WU Li-fang, ZHAO Li-dong, QIU Jian-kang, JIAN Meng, GUO Xiao-hua. The Model Adaptive Energy Homogenization Scheme For Mask Projection 3D Printing[J]. JOURNAL OF SIGNAL PROCESSING, 2017, 33(10): 1308-1316. DOI: 10.16798/j.issn.1003-0530.2017.10.005

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

  • 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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