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Application of Abductive Network and FEM to Predict the Maximum Forging Force and the Final Face Width of Spur Gear

机译:归纳网络和有限元法在正齿轮最大锻造力和最终端面宽度预测中的应用

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摘要

The process of precision gear forging has been developed recently because of its advantages of giving high production rates and improved strength. For complete filling up, predicting the power requirement and final face width is an important feature of the forging process. A finite element analysis is utilized to investigate the maximum forging force and final face width under different process parameters such as modules, number of teeth, and the ratio of the height to diameter of billet. The abductive network is then applied to synthesize the data sets obtained from the numerical simulation, and a prediction model is established ultimately. Employing the predictive model can provide valuable references in prediction of the forging force and final face width under a suitable range of process parameters.
机译:精密齿轮锻造工艺由于其具有高生产率和提高强度的优点而最近得到了发展。为了完全填充,预测功率需求和最终端面宽度是锻造过程的重要特征。利用有限元分析来研究不同工艺参数(例如模数,齿数以及钢坯的高径比)下的最大锻造力和最终端面宽度。然后,将绑架网络应用于从数值模拟中获得的数据集的合成,并最终建立预测模型。在合适的工艺参数范围内,采用预测模型可以为锻造力和最终端面宽度的预测提供有价值的参考。

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