A digital twin for composite parts manufacturing : Effects of defects analysis based on manufacturing data

S. Zambal, C. Eitzinger, M. Clarke, J. Klintworth, P. Mechin
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引用次数: 33

Abstract

The manufacturing of structural parts made from carbon fiber composite materials is a complex process that requires extended quality control. To facilitate better decisions about the mechanical properties of the part and, consequently, the need for re-work, a manufacturing database is proposed that creates a digital twin of the part as manufactured. The main contribution of the paper is to highlight how to merge incoming sensor data into the database and how to use these data to determine the margin of safety for the part. This is demonstrated on the example of an ADMP (automated dry material placement) process during the manufacturing of a section of an aircraft wing lower cover.
复合材料零件制造的数字孪生:基于制造数据的缺陷分析的影响
由碳纤维复合材料制成的结构件的制造是一个复杂的过程,需要扩展质量控制。为了便于更好地决定零件的机械性能,从而减少返工的需要,提出了一个制造数据库,该数据库可以创建已制造零件的数字孪生。本文的主要贡献是强调如何将传入的传感器数据合并到数据库中,以及如何使用这些数据来确定零件的安全裕度。这是在飞机机翼下盖部分制造过程中ADMP(自动干燥材料放置)过程的示例中演示的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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