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A methodology for measuring and evaluating geometric errors of aero-engine blades based on genetic algorithm

机译:基于遗传算法测量和评估航空发动机刀片几何误差的方法

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Measuring and evaluating geometric errors of an aero-engine blade are a complex research topic. At present, there is not a uniform evaluation criterion and completed strategy in the blade manufacturing industry. This article proposes an effective strategy for measuring and evaluating geometric errors of an aero-engine blade: first, measuring six feature curves and calculating the coordinate transformation value with singular value decomposition to improve the accuracy of blade localization; then, an improved measurement method based on the model offset is introduced to eliminate probe radius compensation errors. Finally, the geometric errors of blade are evaluated using the collected measurement data based on genetic algorithm, and a practical evaluation criterion is provided. The proposed strategy for two aero-engine blades has been performed to demonstrate the effectiveness of the proposed methodology and show that it can prevent false feedback for the underlying manufacturing process for aero-engine blades.
机译:测量和评估航空发动机刀片的几何误差是复杂的研究主题。目前,刀片制造业中没有统一的评价标准和已完成的策略。本文提出了一种有效的测量和评估航空发动机刀片几何误差的策略:首先,测量六个特征曲线并计算奇异值分解的坐标变换值,以提高刀片定位的准确性;然后,引入了基于模型偏移的改进的测量方法以消除探针半径补偿误差。最后,使用基于遗传算法的收集的测量数据来评估刀片的几何误差,并提供了实际的评估标准。已经进行了两个航空发动机刀片的策略,以证明所提出的方法的有效性,并表明它可以防止空气发动机叶片的底层制造过程的错误反馈。

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