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Application of abductive network and FEM to predict an acceptable product on T-shape tube hydroforming process

机译:绑架网络和有限元法在T型管液压成型过程中预测合格产品的应用

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In this paper, the use of the finite element method in conjunction with abductive network is presented to predict an acceptable product of which the minimum wall thickness and the protrusion height fulfill the industrial demand on the T-shape tube hydroforming process. The minimum wall thickness and the protrusion height are influenced by the process parameters such as the internal pressure and the die fillet radius. Different internal pressures combined with various fillet radii are taken into account as the process parameters in this study. A finite element based code is utilized to investigate the material flow characteristics under different process parameters, and the abductive network is then applied to synthesize the data sets obtained from the numerical simulation, then a prediction model is established. From the prediction model, a suitable range of the process parameters for producing an acceptable T-shape tube that fulfills the industrial demand can be found.
机译:在本文中,提出了将有限元方法与绑架网络相结合的方法来预测可接受的产品,该产品的最小壁厚和突出高度满足T形管液压成形工艺的工业需求。最小壁厚和突出高度受工艺参数(例如内部压力和模具圆角半径)的影响。在这项研究中,将不同的内部压力与各种圆角半径相结合作为工艺参数。利用基于有限元的代码来研究不同工艺参数下的物料流动特性,然后使用绑架网络对数值模拟获得的数据集进行综合,然后建立预测模型。从预测模型中,可以找到合适的工艺参数范围,以生产满足工业需求的可接受的T形管。

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