2021
DOI: 10.1016/j.jmapro.2021.02.048
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Gradient light video projection-based stereolithography for continuous production of solid objects

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Cited by 11 publications
(7 citation statements)
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“…Figs. 16 and 17 show how two layers of the part were changed by the optimization. The layer considered in Fig.…”
Section: Validation Of the Optimization Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Figs. 16 and 17 show how two layers of the part were changed by the optimization. The layer considered in Fig.…”
Section: Validation Of the Optimization Methodsmentioning
confidence: 99%
“…Wang et al mapped the power density distribution of their projector and used grayscaling to counteract the effects of uneven distribution in large objects [15]. Lichade et al used grayscale images with continuous printing to improve the surface quality and reduce the porosity of fabricated parts [16]. You et al utilized neural network based machine learning to produce grayscale masks to counteract the effects of light scattering [17].…”
Section: Introductionmentioning
confidence: 99%
“…The height of the Level‐2 cluster of conical features was a function of the exposure time and material properties, described by the Beer–Lambert law as follows: [ 40 ] Hcbadbreak=Dpln(ttc)\[ \begin{array}{*{20}{c}}{{H_c} = {D_p} * \ln \left( {\frac{t}{{{t_c}}}} \right)}\end{array} \] where t c is the critical curing time of liquid resin for initiating the photopolymerization, D p is the penetration depth, and t is the total exposure time. As discussed in Section 2.3, the gradient distribution of microparticles in region 2 enabled formations of microcones surrounding the pattern.…”
Section: Methodsmentioning
confidence: 99%
“…The height of the Level-2 cluster of conical features was a function of the exposure time and material properties, described by the Beer-Lambert law as follows: [40]…”
Section: Investigation Of Curing Characteristicsmentioning
confidence: 99%
“…It has been mentioned that the limitation of the CLIP process for large cross-section areas can be solved by using this two-way movement. Further extending, Lichade et al [ 83 ], proposed the gradient light video projection-based stereolithography (GLVP-SL) to reduce the refilling issue by dividing each binary image into three mask images with different grayscale distributions. The resin flow, exposure energy, and curing depth are measured at different grayscales.…”
Section: Photopolymer Resin Refillingmentioning
confidence: 99%