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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Deformation analysis and error prediction in machining of thin-walled honeycomb-core sandwich structural parts
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Deformation analysis and error prediction in machining of thin-walled honeycomb-core sandwich structural parts

机译：薄壁蜂窝芯夹层结构部件加工变形分析及误差预测

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摘要

Due to its low rigidity and poor stiffness, machining deformation in numerical control milling is a big obstacle to achieve accurate shape of thin-walled honeycomb-core sandwich structural parts. In this paper, the factors which affect the machining deformation of these structural parts are analyzed at first. Then, a finite element analysis model is established, which considers the affecting factors of workpiece original stress, fixture constraints and cutting forces, to simulate the magnitude and distribution of the machining deformation. Afterwards, a prediction model is developed by using back propagation neural network to build the relationship between the deformation and machining parameters. Finally, the milling and measurement experiments are performed to validate the proposed prediction model. By comparing the experimental result with the simulation result and the prediction result, it is found that the experimental result was 7.2 and 2.2% less than the simulation result and the prediction result, respectively. Thus, a conclusion is drawn that the machining deformation prediction methodology is feasible.
机译：由于其低刚性和较差的刚度，数值控制铣削中的加工变形是实现精确形状的薄壁蜂窝芯夹层结构部件的障碍。在本文中，首先分析了影响这些结构部件的加工变形的因素。然后，建立了有限元分析模型，其考虑了工件原始应力，夹具限制和切割力的影响因素，以模拟加工变形的幅度和分布。之后，通过使用反向传播神经网络来开发预测模型，以构建变形和加工参数之间的关系。最后，进行铣削和测量实验以验证提出的预测模型。通过将实验结果与模拟结果和预测结果进行比较，发现实验结果分别比模拟结果和预测结果小7.2％和2.2％。因此，得出结论，即加工变形预测方法是可行的。

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