Modelling the effect of hot gas torch heating on adjacent tows during automated fibre placement consolidation of thermoplastic composites

Abstract

Many numerical models of the Automated Fibre Placement (AFP) manufacturing process have been developed to assist in the design process of composite components and structures. Although the tape placement process, in general is a 3-D transient process, limited models considering the 3-D nature of the process exist. This paper describes the development of a 3-D Finite Element (FE) model incorporating the effect of non-concentrated input heat flux distribution on adjacent paths. The model can predict an accurate thermal history of a thermoplastic composite laminate for a complete AFP deposition process. Composite laminates having plies made up of both a single tow and multiple tows have been simulated to study their thermal behaviour during the manufacturing process. Simulations have been conducted both with and without considering the input heat effect on adjacent tows for comparison. Temperatures were measured by embedding two different configurations of optical fibre Bragg grating (FBGs) sensors within the laminate during the lay-up process. This served a dual purpose of validating the model as well as the experimental methodology.

Machine-Learning based process monitoring of automated composites manufacturing to enable digital twin development

“…Step 1: Thermal history data generation using an FEA model An experimentally validated full-scale 3-D nite element thermo-mechanics model of the hot gas torch-based AFP manufacturing process developed in Abaqus incorporating the effects of transient heat and pressure was used to generate in-situ thermal pro les of the AFP process [21]. The thermal pro les predicted by the model have been previously validated against manufacturing trials conducted using FBG sensors embedded inside the laminate for temperature assessment.…”