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Multi-scale collaborative optimization of process parameters for high-speed automatic filament laying carbon fiber / epoxy resin laminates

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Document pages: 14 pages

Abstract: Process optimization is an important means to effectively suppress manufacturing defects. However, due to the inability to consider the multi-scale effect and manufacturing defects of wire laying, the process optimization of experiment or macro theory for high-speed automatic wire laying (AFP) is limited. In this paper, multi-scale collaborative optimization method is used to optimize the process parameters such as compaction force, paving speed and preheating temperature in AFP process. Firstly, a reasonable model between crack and strain energy is revealed in order to evaluate the possibility of crack formation by using strain energy or strain energy density. On this basis, an inverse hierarchical multi-scale collaborative optimization method is proposedted to resolve multiscale effect of structure and mechanical properties for laying tows or cracks in high-speed automated fiber placement process. According to the above method and taking carbon fiber epoxy tow as an example, multiscale mechanical properties of laying tow under different processing parameters are investigated through simulation, which includes recoverable strain energy (ALLSE) of macroscale, strain energy density (SED) of mesoscale, and interface absorbability and matrix fluidity of microscale. Finally, response surface method (RSM) is used to optimize the processing parameters. Two groups of processing parameters, which have higher desirability, are obtained to achieve the purpose of multiscale collaborative optimization.

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