Simulation of soil-cutting blade wear in an artificial abrasive environment based on the similarity theory


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This article considers the conditions for creating the soil-cutting blade wear model proceeding from abrasive wear mechanics. The basic determiners of the nature and rate of blade wear are identified. The influence of external factors is considered that are related to power consumption for overcoming the soil resistance to destruction. The soil resistance forces include the ones that deform the soil at compaction, and the inertia forces that originate at the uplift and displacement of the soil layer. The necessary and sufficient conditions for creating a model similar to natural in the domain of desired properties are considered. The similarity criteria of the model-nature system are determined that characterize the processes observed during the blade wear in actual soil conditions. The numerical values of the similarity criteria determined for the model are identical to the natural loamy soil.

Sobre autores

A. Izmailov

All-Russia Research and Development Institute of Agricultural Mechanization

Autor responsável pela correspondência
Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

I. Liskin

All-Russia Research and Development Institute of Agricultural Mechanization

Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

Ya. Lobachevsky

All-Russia Research and Development Institute of Agricultural Mechanization

Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

S. Sidorov

All-Russia Research and Development Institute of Agricultural Mechanization

Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

V. Khoroshenkov

All-Russia Research and Development Institute of Agricultural Mechanization

Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

A. Mironova

All-Russia Research and Development Institute of Agricultural Mechanization

Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

E. Luzhnova

All-Russia Research and Development Institute of Agricultural Mechanization

Email: vim-avt@rambler.ru
Rússia, Moscow, 109428

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