TY - JOUR
T1 - A practical framework for predicting conversion profiles in vat photopolymerizations
AU - Tu, Jianwei
AU - Kashcooli, Yaser
AU - Alvarez, Nicolas J.
AU - Palmese, Giuseppe R.
N1 - Funding Information:
Research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-17–2-0227 . The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes not withstanding any copyright notation herein.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/11
Y1 - 2022/11
N2 - Monomer fractional conversion is an important indicator of critical physical and thermal properties of thermosetting polymers. Acrylic photo-resins are widely used in light-based 3D printing techniques. The green conversion of acrylate double bonds affects the performance of 3D printed parts before and after post-processing. This work describes a practical framework for predicting conversion profiles of green parts produced by digital light processing (DLP) vat photopolymerization, although the principle should be applicable to all light-based vat photopolymerization techniques. The practical model utilizes accumulated dose profiles and photopolymerization kinetics to make predictions of conversion profiles. Photopolymerization kinetics was determined by real-time photo-infrared spectroscopy, and a phenomenological model was employed to describe the cure kinetics which included oxygen inhibition period and dose rate dependency. A sub-linear dependence of cure kinetics on dose rate showed that effective dose rather than actual dose determined the degree of cure. A mathematical model for accumulated effective dose was developed, and the effects of the ratio of layer thickness to resin depth of penetration on accumulated effective dose profiles were discussed. Predicted conversion profiles from the model were compared to experimental z-direction conversion profiles measured by IR microscope. Further, a Matlab program was developed for predicting and tuning z-direction conversion profiles in DLP vat photopolymerizations with user-input printing parameters. Using the program, the model predicted a relatively flat conversion profile by over-exposing the last layer. The prediction was experimentally verified which showed the effectiveness of this simple model.
AB - Monomer fractional conversion is an important indicator of critical physical and thermal properties of thermosetting polymers. Acrylic photo-resins are widely used in light-based 3D printing techniques. The green conversion of acrylate double bonds affects the performance of 3D printed parts before and after post-processing. This work describes a practical framework for predicting conversion profiles of green parts produced by digital light processing (DLP) vat photopolymerization, although the principle should be applicable to all light-based vat photopolymerization techniques. The practical model utilizes accumulated dose profiles and photopolymerization kinetics to make predictions of conversion profiles. Photopolymerization kinetics was determined by real-time photo-infrared spectroscopy, and a phenomenological model was employed to describe the cure kinetics which included oxygen inhibition period and dose rate dependency. A sub-linear dependence of cure kinetics on dose rate showed that effective dose rather than actual dose determined the degree of cure. A mathematical model for accumulated effective dose was developed, and the effects of the ratio of layer thickness to resin depth of penetration on accumulated effective dose profiles were discussed. Predicted conversion profiles from the model were compared to experimental z-direction conversion profiles measured by IR microscope. Further, a Matlab program was developed for predicting and tuning z-direction conversion profiles in DLP vat photopolymerizations with user-input printing parameters. Using the program, the model predicted a relatively flat conversion profile by over-exposing the last layer. The prediction was experimentally verified which showed the effectiveness of this simple model.
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U2 - 10.1016/j.addma.2022.103102
DO - 10.1016/j.addma.2022.103102
M3 - Article
AN - SCOPUS:85137165271
SN - 2214-8604
VL - 59
JO - Additive Manufacturing
JF - Additive Manufacturing
M1 - 103102
ER -