Fatigue Strength Evaluation for Remanufacturing Impeller of Centrifugal Compressor Based on Modified Grey Relational Model

Abstract

The fatigue strength, as the essential basis of residual life evaluation, is required to be obtained timely for remanufacturing. Since impeller damage is characterized with very-high-cycle fatigue (VHCF), it is difficult to directly test the strength data. The transformation method of multisource strength data is proposed to predict fatigue strength for impeller based on grey relational theory. The multisource strength data, as factor space, primarily include available existing experimental data and operating data, while the strength data of the remanufacturing impeller are taken as target data. The fatigue strength model of material and component are presented to analyze the influence factors of remanufacturing target strength. And similar material provides a theoretical basis for selecting reference data reasonably. Considering the correlation and difference between available data and target data, the grey relational function is established, and the correction function of the target residual is brought forward to reduce the transformation deviation. The entropy-weight theory is implemented to determine the different impacts of multisource data on target strength. A test case, predicting the unknown impeller fatigue strength with various impellers, is applied to validate the proposed transformation method, and the results show that the predicted strength data are consistent with the experimental data well.

Power Quality Improvement of a Hybrid Renewable Energy Sources Based Standalone System Using Neuro-Fuzzy Controllers

“…The algorithm has structural problems such as low computational efficiency, so the binding of PSO method and PF method has been extensively studied. The delegate of intelligent particle filter method is to introduce genetic mutation algorithm into PF algorithm for sampling processing [12]. In this paper, the genetic mutation algorithm and PSO algorithm are combined to optimize the defect of PSO algorithm which is apt to lapse into local extremum.…”

A grey hysteresis model of magnetorheological damper

“…Undoubtedly, the grey theory is further extended by other researchers, including grey prediction (Guo et al, 2017), grey decision (Javed et al, 2019), grey relational analysis (Soorya Prakash et al, 2020). Nowadays the grey theory has been successfully applied in an army of fields, such as mechanical vibration condition monitoring (Cempel, 2008), spacecraft failure prediction (Xu et al, 2016), and mechanical fatigue life (Sun et al, 2020).…”