| 基于BP神经网络的齿轮计算应力修正系数计算研究 |
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| 引用本文： | 毕春长,丁予展.基于BP神经网络的齿轮计算应力修正系数计算研究[J].机械设计与研究,2000,16(3):50-52. |
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| 作者姓名： | 毕春长 丁予展 |
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| 作者单位： | 北京科技大学!北京·100083,北京科技大学!北京·100083 |
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| 摘 要： | 由于动载系数和齿形系数计算繁复 ,给齿轮计算应力的求解带来不便。本文提出了使用 BP神经网络映射齿轮动载系数和复合齿形系数的近似算法 ,以便减少其计算规模 ,提高齿轮计算应力的求解效率。其映射结果表明使用该方法求出的动载系数和复合齿形系数是可行的和高效的
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| 关 键 词： | 齿轮 神经网络 动载系数 复合齿形系数 |
A Study on Gear Calculating Stress Correcting Factors Based on BP Neural Network |
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| Bi,Chunchang,Ding,Yuzhan.A Study on Gear Calculating Stress Correcting Factors Based on BP Neural Network[J].Machine Design and Research,2000,16(3):50-52. |
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| Authors: | Bi Chunchang Ding Yuzhan |
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| Abstract: | Since the complexity of calculating dynamic factor and tooth form factor,the calculation of gear calculating stress is inconvenient.In this paper a approximate algorithm to dynamic factor and combined tooth form factor is proposed by means of BP neural network mapping,so as to decrease calculation scale of them and improve calculation efficiency of gear calculating stress.The results show that this method is feasible and high efficient. |
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| Keywords: | Gear Neural network Dynamic factor Combed tooth form factor |
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