Experimental Investigation of Fatigue Behavior in Materials Using a Rotating Bending Test

Abstract

A mechanical machine needs to consider effect of cyclic stress to avoid failures, the machine considered in this work is rotating beam fatigue tester to know the fatigue life of EN19, EN354, EN36C alloy materials Large scale mechanical equipment's service integrity can only be guaranteed by probabilistic fatigue evaluation, nevertheless, in real engineering, probabilistic fatigue models combined with multiaxial stress circumstances and tiny sample information features are still insufficient. As a result, the virtual subsample augmentation technique is in combination with the enhanced Bootstrap technique to provide a generic probabilistic fatigue assessment procedure. In particular, the small sample is first expanded using the random sample regeneration method. sample fatigue data is combined with life distribution data at various stress levels. The integrated approach is used to fit the S-N curve, which is based on the backwards statistical inference method. information about life dispersion. Furthermore, a novel fatigue damage metric grounded in the inhibition A function is suggested to forecast tiredness to alter the curve. In the interim, alloy steel with various notch sizes needs to undergo a fatigue test for various materials, including EN19, EN354, and EN36C allot. The findings demonstrate how the size and notch. This apparatus demonstrates material's fatigue strength after repeated loads at different stress levels, fatigue properties of a material evaluated by subjecting it to a stress level under its ultimate strength. Stress cycles are used to examine impact of repeated exposure to diverse pressures on machine components, the performance of EN19, EN354, and EN36C alloys is analyzed herein.