Three-dimensional numerical simulation of the filling stage in resin infusion process
Three-dimensional numerical simulation of the filling stage in resin infusion process
复制标题
树脂灌注过程填充阶段三维数值模拟
DOI：
10.1177/0021998316631809
复制
发表时间：
2016-02
影响因子：
2.9
通讯作者：
杨波
中科院分区：
文献类型：
--
作者：
杨波
树脂注入（RI）工艺已广泛应用于复合材料零件的制造。预制体厚度的变化给充填阶段的三维模拟带来了很大的困难。为了准确地模拟树脂注入过程中预制坯的厚度变化和树脂流动，需要采用精确的预制坯压实模型和动态变化的几何模型。目前，树脂流动通常被认为是二维的，采用简单的压实模型来简化模拟，这严重降低了预测精度。本文建立了树脂在变厚腔内流动的一般方程，并采用能充分表达预成型压实动态特性的粘弹性模型。为避免直接求解树脂流动/预成形耦合变形方程，采用流体体积法和动态网格模型实现了流锋跟踪和腔体几何模型的更新。通过主从单元法调节孔隙度变化引起的树脂储存和释放，以保证质量守恒。通过两个仿真实例验证了该方法的有效性。验证了该方法对任意复杂域和顺序注入策略的适用性。
Resin infusion (RI) process has been widely used for manufacturing composite parts. The variation of preform thickness brings great difficulty to the three-dimensional simulation of the filling stage. To accurately simulate the preform thickness change and resin flow during resin infusion, precise preform compaction models and dynamically changing geometry models need to be adopted. At present, resin flow is usually considered as two-dimensional and simple compaction models are employed to simplify the simulation, which degrades the prediction accuracy seriously. In this paper, general equations to describe the resin flow in the changing thickness cavity are developed, and the viscoelastic model is adopted which can fully express the dynamic characteristics of the preform compaction. To avoid solving the coupled resin flow/preform deformation equations directly, the volume of fluid method and the dynamic mesh model are employed to implement the tracking of the flow front and updating of cavity geometry model. The resin storage and release induced by porosity variations are adjusted by a master-slave element method to ensure mass conservation. Two simulation examples are carried out to demonstrate the capability of the above approach. The applicability of the approach on arbitrary complex domains and sequential injection strategy is also verified.
登录
查看更多内容
DOI：
10.1016/j.compositesa.2011.09.028
发表时间：
2012
影响因子：
8.7
作者：
W. Walbran;B. Verleye;S. Bickerton;P. Kelly
通讯作者：
W. Walbran;B. Verleye;S. Bickerton;P. Kelly
影响因子：
3.1
作者：
Ivan Malcevic;O. Ghattas
通讯作者：
Ivan Malcevic;O. Ghattas
影响因子：
3.2
作者：
M. Um;W. Lee
通讯作者：
M. Um;W. Lee
影响因子：
9.1
作者：
P. Šimáček;S. Advani
通讯作者：
P. Šimáček;S. Advani
DOI：
10.1016/j.compositesa.2012.08.003
发表时间：
2012-12
影响因子：
8.7
作者：
Abhishek Gupta;P. Kelly;S. Bickerton;W. Walbran
通讯作者：
Abhishek Gupta;P. Kelly;S. Bickerton;W. Walbran