Adaptive repair and digitization for hybrid manufacturing
Adaptive repair and digitization for hybrid manufacturing
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DOI：
10.1016/j.promfg.2019.06.133
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Myong Joon Kim;M. Praniewicz;T. Kurfess;C. Saldana
中科院分区：
文献类型：
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作者：
Myong Joon Kim;M. Praniewicz;T. Kurfess;C. Saldana
航空航天部件的维修是混合制造系统通过自动化检测、添加和减少过程来降低高废品率的重要机会。在这项研究中，一系列的机器上的轮廓数字化策略进行了调查，以确定叶片组件的几何形状和下游质量措施有关的母材混合线的非刚性配准精度的影响。研究的轮廓数字化策略包括密集采样方法和基于曲率的分割方法。建立了数字化加工精度预测模型，并进行了一系列加工试验，验证了模型的预测能力。从这些结果中可以看出，基于曲率的分割方法为混合型修复提供了准确和快速的数字化解决方案。
Repair of aerospace components represents a significant opportunity for hybrid manufacturing systems to reduce high scrap rate through automation of the inspection, additive and subtractive processes. In this study, a series of on-machine profile digitization strategies were investigated to determine the effects on accuracy of non-rigid registration of blade component geometry and downstream quality measures pertaining to parent material blendlines. The profile digitization strategies investigated include dense sampling methods and curvature-based segmentation approaches. A model was developed to predict the accuracy of the digitization approaches and a series of machining tests were also conducted to show the predictive capability of the model. From these results, it is seen that curvature-based segmentation methods provide an accurate and rapid digitization solution for blend-type repairs.