Autoclave process parameters affecting mechanical and thermomechanical properties of CFRP laminates using response surface methodology

Autoclave curing is a manufacturing process for high-performance parts based on carbon fiber-reinforced polymers (CFRPs) used for large aircraft parts. Today, this manufacturing process is the reference in terms of quality and, therefore, the manufactured parts' mechanical performance and robustness. However, several parameters can impact the quality of the parts resulting from this process, which requires optimizing key manufacturing parameters. In this study, the effect of autoclave process parameters (i.e., temperature, pressure, and vacuum-pressure) on the glass transition temperature (Tg), laminate compressive modulus (LCM), laminate compressive strength (LCS), and interlaminar shear strength (ILSS) was investigated using three factors, three-level Box-Behnken design (BBD) and response surface methodology (RSM). In addition, the interactions of processing parameters with Tg, LCM, LCS, and ILSS were investigated, making this study an essential investigation for accurately selecting processing parameters. Thus, there is a functionally non-linear relationship between the interaction of the autoclave process parameters. Therefore, these parameters were optimized using RSM with the maximum Tg, LCM, LCS, and ILSS. The optimization and validation of the obtained models were carried out with an average relative error below 3% for all thermomechanical and mechanical properties, indicating that the BBD and optimization were correct. Because of this, the established regression models can accurately predict the Tg, LCM, LCS, and ILSS in autoclaved epoxy/carbon composite laminates.

Automated summary

In this study, the effect of autoclave process parameters on the mechanical properties of carbon fiber-reinforced polymers (CFRPs) was investigated using Box-Behnken design and response surface methodology. The study found that there is a non-linear relationship between the interaction of the autoclave process parameters, and the established regression models can accurately predict the properties of autoclaved epoxy/carbon composite laminates.