Multiphysical modeling and optimal control of material properties for photopolymerization processes

Classens, Koen; Hafkamp, Thomas; Westbeek, Steyn; Remmers, Jjc Joris; Weiland, S.

doi:10.1016/j.addma.2020.101520

Cited by 13 publications

(7 citation statements)

References 30 publications

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“…Thermal conductivity of both photopolymerizable and cured paste are measured thanks to the hot-disk method. Density and thermal capacity of the mixture are recalculated using values for pure resin and alumina [19,24]. This theoretical density has been confirmed by measurement on a cured part.…”

Section: Determination Of Thermal Variables For Temperature Simulationmentioning

confidence: 89%

“…In stereolithography process, this conversion rate depends on the laser intensity I received by the slurry during the whole printing and also kinetic variables linked to the paste composition. The model is defined using a m th order reaction kinetic as a function of three spatial coordinates and time [24]:…”

Section: Conversion Rate Simulationmentioning

confidence: 99%

“…Where is the maximum achievable degree of conversion ( 1) due to the reduction of reactive species mobility upon the curing, is the initial conversion rate at 0 and b an exponent constant. In order to simplify the simulation model, value is zero, assuming an initial 0% conversion of monomers and the rate constant r is considered temperature independent [24]. This last assumption could induce differences in conversion rate evolution, by not considering the early rise of the reaction rate due to the increasing concentration of radical species during initiation step.…”

Section: Conversion Rate Simulationmentioning

confidence: 99%

“…The evolution of temperature is then defined in function of this difference of temperatures with the following equations ( 14) to ( 17) [10,19,24]:…”

Section: Temperature Simulationmentioning

confidence: 99%

See 3 more Smart Citations

Development of a 3D model to predict curing dimensions and conversion rates of curable ceramic systems during stereolithography 3D printing process

Vallet

Pateloup

Michaud

et al. 2022

Journal of the European Ceramic Society

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Section: Determination Of Thermal Variables For Temperature Simulationmentioning

confidence: 89%

Section: Conversion Rate Simulationmentioning

confidence: 99%

Section: Conversion Rate Simulationmentioning

confidence: 99%

“…The evolution of temperature is then defined in function of this difference of temperatures with the following equations ( 14) to ( 17) [10,19,24]:…”

Section: Temperature Simulationmentioning

confidence: 99%

See 2 more Smart Citations

Development of a 3D model to predict curing dimensions and conversion rates of curable ceramic systems during stereolithography 3D printing process

Vallet

Pateloup

Michaud

et al. 2022

Journal of the European Ceramic Society

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“…There are some examples of efficient integrations of feedback control loops in the irradiation system in SL equipment (Hafkamp et al , 2019; Hafkamp, 2020; Classens et al , 2021). However, the need for high accuracy and resolution of the sensing techniques for the on-the-fly measuring of the liquid surface topography introduce principal difficulties for the realization of real-time feedback control in the resin deposition process.…”

Section: Introductionmentioning

confidence: 99%

Feedforward control to suppress the leading edge bulge in photopolymerization-based additive manufacturing

Kozhevnikov

Kunnen

Baars

et al. 2022

RPJ

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Purpose This study aims to examine the feasibility of feedforward actuation of the recoater blade position to alleviate the resin surface non-uniformity while moving over deep-to-shallow transitions of submerged (already cured) geometric features. Design/methodology/approach A two-dimensional computational fluid dynamics (CFD) model has been used to determine optimized blade actuation protocols to minimize the resin surface non-uniformity. An experimental setup has been designed to validate the feasibility of the proposed protocol in practice. Findings A developed protocol for the blade height actuation is applied to a rectangular stair-like configuration of the underlying part geometry. The evaluation of the actuation protocol revealed the importance of two physical length scales, the capillary length and the size of the flow recirculation cell below in the liquid resin layer below the blade. They determine, together with the length scales defining the topography (horizontal extent and depth), the optimal blade trajectory. This protocol has also shown its efficiency for application to more complicated shapes (and, potentially, for any arbitrary geometry). Practical implications This study shows that incorporation of a feedforward control scheme in the recoating system might significantly reduce (by up to 80%) the surface unevenness. Moreover, this improvement of performances does not require major modifications of the existing architecture. Originality/value The results presented in this work demonstrate the benefits of the integration of the feedforward control to minimize the leading edge bulges over underlying part geometries in stereolithography.

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Numerical simulation model for the curing of photosensitive acrylate resin in a stereolithography process

Blyweert,

Nicolas,

Fierro

et al. 2024

Int J Adv Manuf Technol

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Multiphysical modeling and optimal control of material properties for photopolymerization processes

Cited by 13 publications

References 30 publications

Development of a 3D model to predict curing dimensions and conversion rates of curable ceramic systems during stereolithography 3D printing process

Development of a 3D model to predict curing dimensions and conversion rates of curable ceramic systems during stereolithography 3D printing process

Feedforward control to suppress the leading edge bulge in photopolymerization-based additive manufacturing

Numerical simulation model for the curing of photosensitive acrylate resin in a stereolithography process

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