TY - GEN
T1 - MODELING AND OPTIMIZATION OF FRONTAL-POLYMERIZATION-BASED MANUFACTURING OF FIBER-REINFORCED COMPOSITES
AU - Geubelle, Philippe
AU - Vyas, Sagar
AU - Kumar, Aditya
AU - Gao, Yuan
AU - Parikh, Nil
AU - Sottos, Nancy
N1 - This work was supported by the National Science Foundation for Grant No. 1933932 through the GOALI: Manufacturing USA: Energy Efficient Processing of Thermosetting Polymers and Composites. The authors also acknowledge the support from the U. S. Air Force Office of Scientific Research through Award FA9550-20-1-0194 as part of the Center of Excellence in Self-healing and Morphogenic Manufacturing.
PY - 2022
Y1 - 2022
N2 - Frontal polymerization (FP) has recently been proposed as a faster, energy efficient, out-of-autoclave manufacturing method for thermosetting polymer matrix composites. In this paper, we first derive a closed-form approximation of the front speed based on an asymptotic analysis of the thermal and degree-of-cure solutions in the vicinity of the propagating front. Theoretical results are compared with numerical predictions and experimental measurements for the case of carbon and glass fibers embedded in a dicyclopentadiene (DCPD) resin, showing very good agreement. We then combine a reaction-diffusion finite element solver and an adjoint-based sensitivity analysis to perform a gradient-based optimization of a through-thickness FP-based manufacturing of thick carbon-DCPD composite panels with high fiber volume fractions.
AB - Frontal polymerization (FP) has recently been proposed as a faster, energy efficient, out-of-autoclave manufacturing method for thermosetting polymer matrix composites. In this paper, we first derive a closed-form approximation of the front speed based on an asymptotic analysis of the thermal and degree-of-cure solutions in the vicinity of the propagating front. Theoretical results are compared with numerical predictions and experimental measurements for the case of carbon and glass fibers embedded in a dicyclopentadiene (DCPD) resin, showing very good agreement. We then combine a reaction-diffusion finite element solver and an adjoint-based sensitivity analysis to perform a gradient-based optimization of a through-thickness FP-based manufacturing of thick carbon-DCPD composite panels with high fiber volume fractions.
KW - Frontal polymerization
KW - Process optimization
KW - Reaction-diffusion model
KW - Thermoset composites
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M3 - Conference contribution
AN - SCOPUS:85149381102
T3 - ECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability
SP - 608
EP - 615
BT - Manufacturing
A2 - Vassilopoulos, Anastasios P.
A2 - Michaud, Veronique
PB - Composite Construction Laboratory (CCLab), Ecole Polytechnique Federale de Lausanne (EPFL)
T2 - 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022
Y2 - 26 June 2022 through 30 June 2022
ER -