Predictive FE Modelling of Prepreg Forming to Determine Optimum Processing Conditions
Predictive FE Modelling of Prepreg Forming to Determine Optimum Processing Conditions
复制标题
预浸料成型的预测有限元建模以确定最佳加工条件
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
P. Harrison
中科院分区：
文献类型：
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作者：
Hua Lin;A. Long;M. Clifford;J. Wang;P. Harrison
在本研究中，使用商业有限元代码Abaqus Explicit™中的速率/温度相关混合有限元模型，对半球和头盔上粘性纺织复合材料的形成进行了有限元模拟。预测了最佳成形参数，如坯料边缘的法向力分布、坯料尺寸、成形温度和成形速率。通过一系列压制成型部件的案例研究对预测进行了评估。模拟结果与实验结果有很好的相关性，表明通过优化成形工具边缘的力分布、选择成形温度和成形速率可以提高粘性纺织复合材料的成形性能。该模型允许用户模拟冲压成形的各个方面，包括模具几何形状、工艺参数，并评估成形性能，包括纤维取向和成形缺陷。
In this study, FE simulations of the forming of viscous textile composite over a hemisphere and a helmet were conducted using a rate/temperature‐dependent hybrid FE model in a commercial Finite Element code, Abaqus Explicit™. Optimum forming parameters such as the normal force distribution across the edges of a blank, blank size, forming temperature and forming rate, are predicted. Predictions are evaluated by a series of case studies of press‐formed components. The results from the simulation and the experiments have good correlation and show that the forming performance of the viscous textile composite can be enhanced by optimizing the force distribution around the edge of the manufacturing tool and by careful choice of forming temperature and forming rate. The proposed model allows users to simulate all aspects of press‐forming including mould geometry, processing parameters and evaluate forming performance including fibre orientation and forming defects.