Wear analysis and prediction of sandy soil and 65 Mn steel friction pair in southern Xinjiang

Soil abrasion on plows, shovels, and other cultivation tools causes a lot of material consumption, especially in the sandy soil environment of southern Xinjiang. Therefore, in the design of agricultural machinery products in southern Xinjiang, it is necessary to consider the friction and wear of materials that touch the soil components. In order to effectively evaluate the wear and tear of high-speed plow contact soil components in the cultivated land environment of southern Xinjiang, the research was conducted using the core material of 65 Mn steel friction pairs between southern Xinjiang sand and contact soil components. By carrying out friction and wear tests at different time stages and observing the morphology and size of wear surfaces at different time durations, a gray GM (1, 1) model was used to establish a wear prediction model based on the working hours. The results show that using the grey theory to predict the wear amount of friction pairs between sand and 65 Mn steel in southern Xinjiang has a good effect. The maximum error between the predicted and experimental values is 5.4%, and the average relative error is 1.97%. The adoption of this prediction model avoids the need to carry out a large number of wear tests and solves the problem of designing the wear life of the core parts of the touchdown of agricultural machinery, thus providing a theoretical index reference for the amount of wear for product optimization.