– коэффициент, учитывающий форму зуба; – коэффициент, учитывающий повышение прочности косых зубьев по сравнению с прямыми; – коэффициент, учитывающий распределение нагрузки между зубьями.
Коэффициент нагрузки (см. стр. 42 [1]):
![](data:image/png;base64,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)
где – коэффициент учитывающий неравномерность распределения нагрузки по длине зуба (коэффициент концентрации нагрузки); – коэффициент, учитывающий динамическое действие нагрузки (коэффициент динамичности).
По табл. 3.7 [1] при симметричном расположении колес относительно опор и твердости . Таблица 6- Значения коэффициента ![](data:image/png;base64,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)
![](data:image/png;base64,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)
|
![](data:image/png;base64,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)
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![](data:image/png;base64,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)
![](data:image/png;base64,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)
| 1,2
| 1,13
| 1,26
| 1,![](data:image/png;base64,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)
|
![](data:image/png;base64,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)
| 1,4
| 1,19
|
![](data:image/png;base64,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)
|
По табл. 3.8 [1] для 8-й степени точности, скорости |