Abstract
Uncontrolled curing-induced residual stress and strain are significant limitations to the efficient design of thermoset composites that compromise their structural durability and geometrical tolerance. Experimentally validated
process modeling for the evaluation of processing parameter contributions to the residual stress build-up is crucial to identify residual stress mitigation strategies and enhance structural performance. This work presents an
experimentally validated novel numerical approach based on higher-order finite elements for the process modeling of fiber-reinforced thermoset polymers across two composite characteristic length scales, the micro and
macro-scale levels. The cure kinetics is described using an auto-catalytic phenomenological model. An instantaneous linear-elastic constitutive law, informed by time-dependent material characterization, is used to evaluate
the stress state evolution as a function of the degree of cure and time. Micromechanical modeling is based on
Representative Volume Elements (RVEs) that account for random fiber distribution verified against traditional
3D FE analysis. 0/90 laminate testing at the macroscale validates the proposed approach with an accuracy of
9%.