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Прогнозирование параметров шероховатости шлифованной поверхности с учетом явления пластического оттеснения металла абразивными зернами

Прогнозирование параметров шероховатости шлифованной поверхности с учетом явления пластического оттеснения металла абразивными зернами

Abstract

В статье представлен вывод зависимости параметра шероховатости Rmax шлифованной поверхности от основных параметров, характеризующих процесс микрорезания на основе математического моделирования взаимодействия режущей кромки абразивного зерна с обрабатываемым материалом. Проведен анализ полученной зависимости. Определено направление изменения шероховатости шлифованной поверхности при изменении условий микрорезания (царапания). Сделаны выводы по проделанной работе. On the basis of mathematical modelling of interaction of the cutting edge of abrasive grain with the processed material, the deduction of dependence of ground surface roughness parameter Rmax on key parameters of microcutting process is presented in this article. The analysis of the received dependence is carried out. The change direction of the roughness of ground surface is defined at change of conditions of microcutting. Conclusions are drawn.

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Keywords

математическая модель, параметры аппроксимации, коэффициент навалов, обрабатываемый материал, микрорезание

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green