Determination of statistical dependence of the working temperature of rigid bearings in industrial processes using ANOVA in RStudio
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Introduction: Nowadays the operating temperature has become the most important variable in the technical evaluation of the overall performance of a deep groove bearing. This is mainly since several critical factors have a greater or lesser dependence on the working temperature, operating factors such as lubricant viscosity, load carrying capacity, load distribution and power loss, which have been shown to be proportional in various investigations. Objective: In this article, the dependence of the working temperature of a 618 deep groove ball bearing on operating variables such as lubricant film density and operating speed to which this element is exposed in the industrial process of mineral crushing is determined. Results: 27 in situ measurements of the working temperature were carried out at operating speeds between 1200 and 3600 revolutions per minute and lubricant densities between 100 and 135 centistokes. These data obtained were processed by means of multifactorial ANOVA to establish the influence of the above-mentioned variables in relation to the working temperature. As a result, it was established that the operating speed has a direct influence on the variation of the working temperature of the deep groove ball bearing under study, which implies that this variable should be analyzed when the bearing is replaced or sized. Conclusions: It was concluded that the working temperature has a direct dependence with the operating speed of the bearing under study and with the type of lubricant used in it, in addition it could be determined that the present study contributes significantly in the execution of maintenance tasks, in the elaboration of production plans and in the root cause analysis of failures in assets with rotating elements under operational contexts with different operating variables at industrial level.
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