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USE OF SENSORS AND SIMULATIONS FOR STRATEGIC CONTROL OF LIQUID COMPOSITE MOLD FILLING PROCESS

机译:使用传感器和模拟液体复合模具灌装过程的战略控制

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Liquid Composite Molding (LCM) are processes in which a fiber preform is placed in a mold and a thermoset resin is injected into the mold cavity to form a fiber reinforced composite part. For complicated mold shapes, the engineer has to make decisions about the resin injection pressure, flow rate, location of gates and vents to achieve a high quality part without any dry spots. Over the last ten years, we have developed a virtual manufacturing simulation, LIMS (Liquid Injection Molding Simulation) of the infiltration of the resin into the fiber preform that can aid the engineer in arriving at such decisions. Although this has helped in reduction of time and cost in prototype development, inherent variabilities in material and process parameters continue to challenge the engineer in reducing the unacceptable parts. An on-line strategic controller with in-situ sensor data can influence the resin flow pattern during mold filling and drive the process towards successful completion. LIMS usefulness in development of such controllers, to take corrective actions when a disturbance such as change in fiber volume fraction or unplanned racetracking is detected by the sensors, will be demonstrated with a case study.
机译:液体复合成型(LCM)是其中纤维预制件放置在模具中的方法,并将热固性树脂注入模腔中以形成纤维增强的复合材料部件。对于复杂的模具形状,工程师必须做出关于树脂喷射压力,流速,门的位置,通风口的决定,以实现高品质的部分而没有任何干斑。在过去的十年中,我们已经开发了一种虚拟制造模拟,LIMS(液体注塑模拟)树脂渗透到纤维预制件中,可以帮助工程师到达这种决定。虽然这有所帮助地减少了原型开发中的时间和成本,但材料和过程参数的固有变量继续挑战工程师减少不可接受的部分。具有原位传感器数据的在线战略控制器可以影响模具填充过程中的树脂流动模式,并向成功完成过程。利用传感器检测到纤维体积分数或无计划赛道变化的扰动,将纠正措施利用纠正措施,以便在案例研究中进行纠正措施。

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