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Adaptive repair and digitization for hybrid manufacturing

机译:混合动力车制造的自适应修复和数字化

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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.
机译:航空航天部件的修理是混合制造系统的重要机会,以通过检查,添加剂和减法过程的自动化减少高废料速率。在这项研究中,研究了一系列机上轮廓的数字化策略,以确定对叶片部件几何形状和下游质量措施的非刚性登记精度的影响。调查的简档数字化策略包括致密采样方法和基于曲率的分段方法。开发了一种模型以预测数字化方法的准确性,并且还进行了一系列加工测试以显示模型的预测能力。从这些结果可以看出,基于曲率的分割方法提供了用于混合式维修的准确和快速的数字化解决方案。

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