Spodniak Miroslav, Hovanec Michal, Korba Peter
Faculty of Aeronautics, Technical University of Kosice, Rampova 7, 041 21, Kosice, Slovakia.
Heliyon. 2024 Feb 9;10(4):e26041. doi: 10.1016/j.heliyon.2024.e26041. eCollection 2024 Feb 29.
This study provides a novel methodology for the natural frequency estimation of the jet engine turbine blade by using the dimension check. This paper presents a summarization of the ongoing research devoted to the method for the turbine blade natural frequency estimation. The main target of the research presented in the paper is to develop a novel method that can calculate the natural frequency of a particular turbine blade by using the dimensions of investigated turbine blade from a dimension check. This goal is achieved by the combination and interaction of several methods as for instance computed aided design (CAD) finite element modelling (FEM), artificial neural network (ANN) and others. As it is mentioned in the following chapters of the article a unique novel method is developed that can predict natural frequency according to the dimensions. The results confirmed the correctness of the new methodology, which can predict natural frequency by the dimensions of a turbine blade immediately with a relatively high level of accuracy (maximal errors are under 1.5%). Every jet engine manufacturer (GE aviation, Rolls Royce, Prat and Whitney, etc.) has to test jet engine parts for the natural frequencies in order to avoid the resonance at early stage of the manufacturing process in order to mount the blades into the engine. The experimental tests of every single turbine blade are time-consuming, a novel method can predict natural frequency according to the dimensions by using data from dimension check in 0.0051 s. The presented method is under patent pending.
本研究提供了一种通过尺寸检查来估计喷气发动机涡轮叶片固有频率的新方法。本文对目前致力于涡轮叶片固有频率估计方法的研究进行了总结。本文所介绍研究的主要目标是开发一种新方法，该方法可以通过尺寸检查中所研究涡轮叶片的尺寸来计算特定涡轮叶片的固有频率。这一目标是通过多种方法的结合与相互作用实现的，例如计算机辅助设计（CAD）、有限元建模（FEM）、人工神经网络（ANN）等。正如本文后续章节所述，开发了一种独特的新方法，该方法可以根据尺寸预测固有频率。结果证实了新方法的正确性，该方法能够以相对较高的精度（最大误差在1.5%以下）立即根据涡轮叶片的尺寸预测固有频率。每个喷气发动机制造商（通用电气航空、劳斯莱斯、普惠等）都必须对喷气发动机部件进行固有频率测试，以便在制造过程的早期阶段避免共振，从而将叶片安装到发动机中。对每一个涡轮叶片进行实验测试都很耗时，而一种新方法可以通过使用尺寸检查中的数据在0.0051秒内根据尺寸预测固有频率。所提出的方法正在申请专利。
