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Straight gear temperature field prediction method based on thermal network model

A technology of thermal network model and prediction method, which is applied in the field of prediction of spur gear temperature field based on thermal network model, and can solve problems such as complex thermal resistance determination process, failure to consider the influence of heat flow, and inaccurate results

Active Publication Date: 2020-01-31
HUNAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing tooth surface temperature prediction methods usually discretize a single tooth into multiple temperature units, without considering the influence of heat flow caused by friction during the meshing process of other teeth, resulting in inaccurate prediction results
In addition, the thermal resistance determination process of some methods considering thermal resistance is too complicated

Method used

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  • Straight gear temperature field prediction method based on thermal network model
  • Straight gear temperature field prediction method based on thermal network model
  • Straight gear temperature field prediction method based on thermal network model

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Embodiment 1

[0059] Such as figure 1 As shown, the present invention proposes a prediction method of spur gear temperature field based on thermal network model. First, the meshing area is averagely discretized into N areas, and each meshing point and the midpoint of the meshing point along the tooth thickness direction are taken as temperature nodes, and each discrete area is equivalent to a temperature unit, and each temperature unit passes The thermal resistance connection between each temperature node constitutes a thermal network model, where the thermal resistance includes convective heat transfer thermal resistance and thermal conduction thermal resistance. Then, based on the Hertzian contact theory, the contact pressure and relative sliding velocity are solved to obtain the frictional heat flow; according to the heat transfer theory, the temperature field distribution of the spur gear tooth surface is obtained by establishing the relationship between the frictional heat flow and the...

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Abstract

The invention discloses a straight gear temperature field prediction method based on a thermal network model. According to the method, the calculation steps are simple, the calculation time is short,the occupied memory is small, the temperature value of each point can be independently solved, the meshing rule of a gear pair is considered when the instantaneous temperature is calculated, and compared with a Blok flash temperature formula, the method is closer to the actual meshing condition of the gear; in the process of analyzing the gear temperature field, the meshing rule of the gear pair in the meshing process is considered, the influence of the gear structure on the gear temperature field is also considered, and prediction is more accurate.

Description

Technical field: [0001] The invention belongs to the field of gear design and processing, in particular to a method for predicting the temperature field of a spur gear based on a thermal network model. Background technique: [0002] Tooth surface temperature is an important parameter to judge whether the gear is glued. However, the existing tooth surface temperature prediction methods usually discretize a single gear tooth into multiple temperature units, without considering the influence of heat flow caused by friction during the meshing process of other gear teeth, resulting in inaccurate prediction results. In addition, the thermal resistance determination process of some methods considering thermal resistance is too complicated. Invention content: [0003] The purpose of the present invention is to provide a method for predicting the temperature field of spur gears based on a thermal network model. The calculation steps of the present invention are simple, the calcula...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F30/17
CPCG06Q10/04
Inventor 周长江邢明才唐乐为屈泽峰
Owner HUNAN UNIV
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