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首页> 外文期刊>Journal of Intelligent Manufacturing >Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing
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Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing

机译：多胎重叠模型，具有不同横截面型材，用于机器人GMAW基添加剂制造

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摘要

In robotic GMAW-based additive manufacturing, the surface evenness of the deposited layer was significant to the dimensional accuracy and the stable fabrication process, and it was determined by the multi-bead overlapping distance. To obtain the optimal overlapping distance, a group of two-bead overlapping experiments was conducted with different overlapping ratio. The cross-section shape was observed and the variation of the bead profile caused by the damming up of the previous bead was investigated. The second bead profile could be fitted by a rotated varying parabola or circular arc function with the decreasing of the overlapping distance from the initial single bead width (w) to 0. A varying cross-section profile overlapping model was developed based on the actual forming characteristics of the overlapping experiment, through which the varying profile of two overlapping beads with arbitrary distance could be predicted. Then, the optimal overlapping distance was calculated under some principles to achieve a relatively flat top surface and stable overlapping process, and the multi-bead overlapping experiments were performed to validate the model. The results showed that the model could achieve an excellent approximation to the actual overlapping experiment, and the good surface evenness and stable overlapping process was obtained, which was significant to the research into the appearance optimization in GMAW-based additive manufacturing.
机译：在基于机器人的GMAW的添加剂制造中，沉积层的表面均匀度与尺寸精度和稳定的制造工艺具有显着性，并且通过多珠重叠距离确定。为了获得最佳重叠距离，具有不同重叠的比例进行一组双珠重叠实验。观察到横截面形状，并研究了由先前珠子的滤压引起的珠子曲线的变化。第二珠子曲线可以通过旋转的变化的抛物线或圆弧函数装配，随着距初始单珠宽度（w）至0的重叠距离而减小。基于实际成形开发了变化的横截面轮廓重叠模型重叠实验的特性，可以预测具有任意距离的两个重叠珠的变化轮廓。然后，在一些原理下计算最佳重叠距离以实现相对平坦的顶面和稳定的重叠过程，并且进行多胎重叠实验以验证模型。结果表明，该模型可以达到实际重叠实验的良好近似，获得良好的表面均匀度和稳定的重叠过程，这对于基于GMAW的添加剂制造中的外观优化研究是显着的。

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