Mathematical models for predicting weight and linear wear from resource indicators serial and hardened by combined method of cultivator paws
DOI:
https://doi.org/10.31548/machenergy2020.02.029Keywords:
forecasting, wear, hardening, increase, resource, self-sharpening, wear resistance.Abstract
The work is devoted to increasing the re-source indicators of cultivator paws when using the com-bined method of strengthening. The article provides a dia-gram of the combined three-layer formation of the blades of cultivator paws, which provides an increase in resource indicators due to the application of powder abrasion-re-sistant materials by arc surfacing. This method of harden-ing allows you to ensure the process of self-sharpening the blade by gradually reducing the wear resistance of the lower layers of the blade.
By the method of production tests according to the re-sults of linear wear of the wings of experimental cultivating paws a powder material has been identified that provides the best performance against abrasion.
Mathematical and graphical dependences of linear and weight wear of experimental cultivator paws on the op-erating time and use of powder material during their hard-ening are given.
An analysis of the obtained graphical dependencies of comparative tests of hardened and serial paws showed that with a resource of 55 ha, the average weight wear of hard-ened paws is 33% less than the serial ones.
The established mathematical models make it possible to predict the values of weight and linear wear depending on the resource indicators of serial and hardened cultivator paws strengthened by the combined method
The proposed combined method of hardening allows to increase the resource of cultivating paws by 35-45%.
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