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- W4311559670 abstract "The present work introduces a novel numerical approach for the process modeling of fiber-reinforced thermoset polymers at the micro-scale level, that can be used to predict curing-induced residual stresses. The cure kinetics is described using an auto-catalytic phenomenological model and an instantaneous linear-elastic constitutive law is used to evaluate the stress state evolution as a function of the degree of cure and time. The proposed method is based on refined structural theories derived from the Carrera Unified Formulation (CUF). A series of numerical assessments is carried out to evaluate the performance of CUF models in micro-scale curing analysis - considering neat resin, a single-fiber repeating unit cell, and a representative volume element with 20 randomly distributed fibers. Comparing the CUF predictions with reference 3D finite element (3D-FE) models demonstrates the accuracy of the present approach in stress analysis. It is also shown that CUF models are an order-of-magnitude faster than those based on conventional 3D-FE, for similar accuracy of results." @default.
- W4311559670 created "2022-12-27" @default.
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- W4311559670 date "2022-12-13" @default.
- W4311559670 modified "2023-10-01" @default.
- W4311559670 title "Micro-scale process modeling and residual stress prediction in fiber-reinforced polymers using refined structural models" @default.
- W4311559670 doi "https://doi.org/10.48550/arxiv.2212.06792" @default.
- W4311559670 hasPublicationYear "2022" @default.
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