Predicting the durability of agricultural machinery parts taking into account real operating conditions

Abstract

The prediction of durability of agricultural machinery parts operating in harsh conditions requires the development of mathematical models that consider operational loads and aggressive environments. The research goal is to improve the machinery economic efficiency, quality, and competitiveness. The existing methods are analyzed including reducing dangerous stresses and accounting for physical fatigue processes. A mathematical model with identified coefficients for durability prediction is proposed. The influence of operating conditions on the loading of chassis parts is considered, and methods for constructing load cycles are proposed. The necessity of analyzing corrosion wear and redistribution of internal stresses is shown. Based on the analysis of the stress-strain state (SSS), it is possible to optimize the design by reducing stress concentration. For the element under consideration, the SSS changes under the influence of corrosive wear and stress redistribution due to changes in the stiffness characteristics of the elements. It is important to consider the influence of dimensions and loading frequency on wear resistance. It is recommended to design new equipment based on a detailed analysis of operating conditions and real loads, and to simulate loads during testing to identify weak points. Numerical methods tested in structural mechanics were used to determine durability. The durability of a five-furrow plow was estimated based on the analysis of frame beams. Numerical calculations were performed using the corrected Euler method and a mathematical model that took into account the corrosion rate and mechanical stress. The results may be applied to improve the reliability and durability of agricultural machinery and to develop effective maintenance and repair strategies.