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Cutting Parameter Selection for Efficient and Sustainable Repair of Holes Made in Hybrid Mg–Ti–Mg Component Stacks by Dry Drilling Operations

机译:切削参数选择用于通过干钻操作对镁-钛-镁混合组分堆进行有效而可持续的孔修复

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摘要

Drilling is one of the most common machining operations in the aeronautic and aerospace industries. For assembling parts, a large number of holes are usually drilled into the parts so that they can be joined later by rivets. As these holes are subjected to fatigue cycles, they have to be checked regularly for maintenance or repair, since small cracks or damage in its contour can quickly cause breakage of the part, which can have dangerous consequences. This paper focuses on finding the best combinations of cutting parameters to perform repair and maintenance operations of holes in stacked hybrid magnesium–titanium–magnesium components in an efficient, timely, and sustainable (without lubricants or coolants) manner, under dry drilling conditions. For the machining trials, experiments were designed and completed. A product of a full factorial 23 and a block of two factors (3 × 2) was used with surface roughness as the response variable measured as the mean roughness average. Analysis of variance (ANOVA) was used to examine the results. A set of optimized tool and cutting conditions is presented for performing dry drilling repair operations.
机译:钻孔是航空和航天工业中最常见的加工操作之一。为了组装零件,通常在零件上钻很多孔,以便以后可以用铆钉将它们连接起来。由于这些孔要经受疲劳循环,因此必须定期检查以进行维护或修理,因为其轮廓上的细小裂纹或损坏会迅速导致零件破裂,从而可能导致危险后果。本文着重于找到最佳的切削参数组合,以在干燥的钻探条件下,以有效,及时和可持续的方式(无需使用润滑剂或冷却剂)对堆叠的镁-钛-镁混合合金零件中的孔进行维修和保养。对于机加工试验,设计并完成了实验。使用全因数2 3 与两个因子块(3×2)的乘积,将表面粗糙度作为响应变量,作为平均粗糙度平均值进行测量。方差分析(ANOVA)用于检查结果。提出了一组优化的工具和切削条件,用于执行干钻修理操作。

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