Delamination is a common defect when abrasive waterjet (AWJ) cutting composite laminates. This paper presents experimental and numerical results used to characterize delamination when AWJ cutting a carbon-fiber/epoxy laminate. A fluid-structure interaction model was used to simulate the AWJ cutting. The structural domain used cohesive zone modeling to predict delamination along the ply interfaces. The numerical results showed that cutting delamination of the carbon-fiber/epoxy was primarily dependent on the normal interlaminar stress, with relatively large damage zones occurring ahead of the cutting front. This trend was also observed in X-ray micro-tomographs of an AWJ cut. To distinguish between side-wall and cutting-front forces, the loading generated by the jet was measured using a strain gage. This showed that the loads applied to the cutting front were larger than those generated on the side walls, and thus the likelihood of delamination was greater on the cutting front. The amount of delamination during AWJ cutting was measured using a moisture uptake methodology that was implemented with a six-factor (pressure, stand-off distance, abrasive flow rate, traverse speed, mixing-tube size, and fiber orientation) Taguchi experimental design. The trends evident in these data were consistent with the extent of delamination predicted by the numerical models, and show that traverse speed, abrasive flow rate, and mixing tube size had the most significant effect on delamination.

当用磨料水射流（AWJ）切割复合材料层压板时，分层是一个常见的缺陷。本文介绍了用于表征AWJ切割碳纤维/环氧树脂层压板时脱层的实验和数值结果。使用流固耦合模型来模拟AWJ切割。结构域使用内聚区建模来预测沿层界面的分层。数值结果表明，碳纤维/环氧树脂的切削分层主要取决于正常的层间应力，相对较大的损伤区域出现在切削前沿。在AWJ切割的X射线显微断层扫描仪中也观察到了这种趋势。为了区分侧壁力和切削力，使用应变计测量了射流产生的载荷。这表明施加在切削刃上的载荷大于在侧壁上产生的载荷，因此在切削刃上分层的可能性更大。AWJ切割过程中的脱层量是使用Taguchi实验设计的六因素（压力，隔离距离，磨料流速，移动速度，混合管尺寸和纤维取向）实施的水分吸收方法测量的。这些数据中明显的趋势与数值模型预测的分层程度是一致的，并且表明横移速度，磨料流速和混合管尺寸对分层的影响最大。AWJ切割过程中的脱层量是使用Taguchi实验设计的六因素（压力，隔离距离，磨料流速，移动速度，混合管尺寸和纤维取向）实施的水分吸收方法测量的。这些数据中明显的趋势与数值模型预测的分层程度是一致的，并且表明横移速度，磨料流速和混合管尺寸对分层的影响最大。AWJ切割过程中的脱层量是使用Taguchi实验设计的六因素（压力，隔离距离，磨料流速，移动速度，混合管尺寸和纤维取向）实施的水分吸收方法测量的。这些数据中明显的趋势与数值模型预测的分层程度是一致的，并且表明横移速度，磨料流速和混合管尺寸对分层的影响最大。