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Tolerance Analysis and Synthesis for Composite Assemblies of Resin Transfer Molded Components

机译:树脂传递模塑部件复合组件的公差分析与综合

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摘要

With the increasing demand for composite products to be affordable, net-shaped and efficiently assembled, tight dimension tolerance is critical. Due to lack of accurate process models, dimension analysis and control for resin transfer molding (RTM) processes are often performed using trial-and-error approaches based on engineers' experiences or previous production data. Such approaches are limited to specific geometry and materials and often fail to achieve the required dimensional accuracy in the final products. This paper presents an innovative dimension variation prediction approach. First a dimension variation model was developed based on process simulation, the classical laminate theory (CLT) and finite element analysis (FEA). The FEA-based dimension variation model was validated against experimental data. The deformations of common features in typical composite structures were analyzed using the FEA-based dimension variation model. Design parameters were identified and the regression-based dimension variation model was developed. The model provides a fast, practical and proactive tool to predict and control dimension variations in RTM processes. The structural tree method (STM) is presented for design optimization and tolerance analysis/synthesis of composite assemblies.
机译:随着人们对可负担得起,网状和高效组装的复合产品的需求不断增长,严格的尺寸公差变得至关重要。由于缺乏精确的过程模型,因此通常基于工程师的经验或先前的生产数据,使用试错法来进行树脂传递模塑(RTM)过程的尺寸分析和控制。这样的方法限于特定的几何形状和材料,并且常常不能在最终产品中实现所需的尺寸精度。本文提出了一种创新的尺寸变化预测方法。首先,基于工艺仿真,经典层压理论(CLT)和有限元分析(FEA)开发了尺寸变化模型。基于FEA的尺寸变化模型已针对实验数据进行了验证。使用基于FEA的尺寸变化模型分析了典型复合结构中共同特征的变形。确定设计参数,并开发基于回归的尺寸变化模型。该模型提供了一种快速,实用和主动的工具来预测和控制RTM流程中的尺寸变化。提出了结构树方法(STM),用于组合组件的设计优化和公差分析/合成。

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