首页> 外文会议>High Performance Computing on the Information Superhighway, 1997. HPC Asia '97 >Finite element simulation of SMC compression molding based onthermo-viscoplastic approach with fiber volume fraction prediction
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Finite element simulation of SMC compression molding based onthermo-viscoplastic approach with fiber volume fraction prediction

机译:基于SMC压缩成型的有限元模拟。预测纤维体积分数的热粘塑性方法

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SMC (Sheet Molding Compounds) is a thermosetting material whichconsists of unsaturated polyester resin and other additives reinforcedwith randomly distributed chopped fiberglass strands. During thecompression molding cycle, it is very difficult to understand theoverall effects of SMC resin components on flow characteristics andmechanical performance of the molded parts, since mold geometries andprocessing variables are complex. Thus, a three dimensional rigid thermoviscoplastic finite element program including chemical reaction andfiber volume fraction prediction was developed in the present study andapplied to the analysis of compression molding of a SMC charge. Toverify the validity of this approach, numerical fiber volume fractionpredictions were compared to fiber volume fraction data measured byimage processing. Three dimensional simulations under various moldingconditions were carried out to obtain more thorough knowledge of the SMCcompression molding process. Based on this study, it was found that thecurrently developed three dimensional finite element program coupledwith heat transfer and chemical reaction can provide valuableinformation in understanding flow characteristics, fiber volume fractiondistribution, and the curing behavior of SMC compression molding indetail
机译:SMC(片状模塑料)是一种热固性材料, 由不饱和聚酯树脂和其他增强的添加剂组成 带有随机分布的短切玻璃纤维线。在此期间 压缩成型周期,很难理解 SMC树脂组分对流动特性的总体影响 成型零件的机械性能,因为模具的几何形状和 处理变量很复杂。因此,三维刚性热 粘塑性有限元程序,包括化学反应和 在本研究中开发了纤维体积分数预测,并 用于分析SMC装料的压缩成型。到 验证此方法的有效性,数值纤维体积分数 将预测值与通过 图像处理。各种成型条件下的三维模拟 进行条件以获得更全面的SMC知识 压缩成型工艺。根据这项研究,发现 目前开发的三维有限元程序耦合 进行热传递和化学反应可以提供有价值的 有关了解流动特性,纤维体积分数的信息 分布和SMC压缩成型的固化行为 细节

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