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Methodical application of liquid composite molding simulation

机译:液体复合模拟仿真的有条学应用

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To meet the requirements of short development cycles, there is a need for simulation to support the process development. Over the years many simulation tools for the RTM-process and its variations have been developed, but up to now there's only little support for the users of this software concerning its methodical application. In the presented paper the use of liquid composite molding simulation in a methodical way is discussed. In a first step some aspects for model choice are highlighted. In order to simplify the decision for the dimension of the Finite-Element-Model, an analytic formula for the approximated error between a 2D model and a 3D model will be presented. As parameters in this formula the relative flow path (flow path related to the part thickness), the ratio of the in-plane permeability and the permeability in thickness direction is considered. The formula is valid for an injection line with impregnation in thickness direction of the preform. Based on these results the methodical optimisation of an injection process will be demonstrated on an example taken from practice. Using the front wall of a car the aspect of an error tolerant simulation will be discussed. While the simulation seemingly yields an optimal solution under the assumption of constant input values, significant short comings can be shown for the necessary variation of the parameters due to measurement errors or qualitative oscillations. Only when the range of all input parameters is considered in simulation a reliable statement about the stability of the process can be made.
机译:为了满足短开发周期的要求,需要模拟来支持流程开发。多年来,已经开发了许多用于RTM-Process的仿真工具及其变体,但到目前为止,对该软件的用户有关其有条学应用程序的支持几乎没有很少的支持。在本文中,讨论了使用液体复合成型模拟以一种方法方式。在第一步中,突出显示了模型选择的一些方面。为了简化有限元模型的尺寸的决定,将呈现2D模型与3D模型之间的近似误差的分析公式。随着该公式中的参数,考虑相对流动路径(与零件厚度相关的流动路径),考虑面内渗透率的比率和厚度方向上的渗透率。该公式适用于喷射管线,其具有预制件的厚度方向的浸渍。基于这些结果,将在从实践中取出的示例上证明注射过程的有条理优化。使用汽车的前壁将讨论耐堵塞仿真的方面。虽然模拟似乎在恒定输入值的假设下产生最佳解决方案,但由于测量误差或定性振荡,可以示出显着的短暂的参数。只有在模拟中考虑所有输入参数的范围时,可以进行关于该过程稳定性的可靠陈述。

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