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TOOL-SHAPE OPTIMIZATION TO MINIMIZE WARPAGE IN AUTOCLAVE PROCESSED L-SHAPED COMPOSITE PART

机译:刀具形优化,以最大限度地减少高压釜加工L形复合部件中的翘曲

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摘要

A three-dimensional (3-D) finite element-based process model developed at the University of Manitoba for the prediction of part temperature, degree of cure and residual stress / warpage development during autoclave processing of large composite structures. This work extends the process model to optimize the shape of the material processing tool in order to minimize the warpage of composite parts processed on that tool. A Genetic Quantum Algorithm (GQA) based optimization scheme has been used along with the process model to develop optimized tool shapes in order to minimize warpage. In this preliminary numerical study, simple twodimensional (2-D) L-shaped part has been used to gain insight into relationship between the tool shape and warpage, and into the efficacy of the chosen optimization scheme.
机译:基于三维(3-D)的基于有限元的过程模型,在大型复合结构高压灭菌过程中预测了ManitoBA大学的零件温度,固化程度和残留应力/翘曲的开发。该工作扩展了过程模型以优化材料处理工具的形状,以最小化在该工具上处理的复合部件的翘曲。基于遗传量子算法(GQA)的优化方案已经与过程模型一起使用,以开发优化的刀具形状,以便最小化翘曲。在该初步数值研究中,已经使用简单的TwoDimension(2-D)L形部分来深入了解工具形状和翘曲之间的关系,以及所选择的优化方案的功效。

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