热塑性复合材料自动铺放工艺参数分析与优化

热塑性复合材料自动铺放原位成型（AFP）技术是高效低成本制造大型复合材料构件的关键，而自动铺放过程中工艺参数的选取及控制精度对成型构件的性能有较大影响，因此为保证原位成型后成型构件的性能，需分析自动铺放工艺参数对成型构件性能的影响并对其进行优化。本文基于热塑性复合材料自动铺放平台，以连续玻璃纤维增强聚丙烯（GF/PP）预浸纱为原料制备复合材料层合板，以层合板的力学性能为优化目标，根据响应曲面法原理设计试验，分析热气温度、热压辊压力及冷压辊压力各工艺参数及其耦合作用对层合板力学性能的影响，建立各工艺参数与层合板力学性能的二次多项式回归方程预测模型，通过预测值与实际值对比等检验分析，验证回归模型的有效性和可靠性，进而获得热塑性复合材料AFP最优工艺参数组合为热气温度为385℃、热压辊压力为0.3 MPa、冷压辊压力为1.1 MPa。

Analysis and optimization of the processing parameters for automated fiber placement of thermoplastic composites

The technology of automated fiber placement (AFP) in-situ crystallization for thermoplastic composites is the key point for efficiently and inexpensively manufacturing large composite components. However, because the processing parameters have a great influence on the mechanical properties, to ensure the mechanical properties of laminates made by AFP in situ crystallization, the processing parameters should be analyzed and optimized. The prepreg made of polypropylene as matrix and continuous glass fiber as reinforcement (GF/PP) was used to produce laminates through the AFP platform. Influences of the processing parameters, such as temperature of hot gas, lay-up pressure of hot roll and cold roll, and furthermore, their interaction effects on the mechanical properties were analyzed based on the theory of response surface methodology. A quadratic polynomial regression equation was set up to forecast the relationship between the processing parameters and the mechanical properties. The effectiveness and reliability of regression model were verified through the test analysis such as predicated versus actual. Furthermore, the optimal process parameters of AFP were obtained:temperature of hot gas is 385℃, lay-up pressure of hot roll is 0.3 MPa and lay-up pressure of cold roll is 1.1 MPa.