低温工艺对使用无涂层立铣刀加工 Inconel 718 超合金的影响的综合研究

Hüseyin Gürbüz, Şehmus Baday
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引用次数: 0

摘要

Inconel 718 因其在高温下仍具有高机械强度、高抗氧化性和耐高温性等优异特性,被广泛应用于航空航天、空间研究和空间站等重要领域。然而,由于比强度高、刀具磨损大、热性能低,这种材料被归类为难加工材料,导致加工过程中可加工性差、表面完整性差。为了克服这些材料在加工过程中出现的难题,近年来非常流行的低温加工因其为刀具提供的耐磨性和硬度而脱颖而出。在这项统计和实验研究中,使用低温无涂层立铣刀(UCC)和无涂层立铣刀(UC)以不同的切削参数对 Inconel 718 进行了铣削。研究调查了加工实验获得的表面粗糙度、磨料磨损、切削力、切削工具磨损、振动值、硬度和积聚边缘 (BUE) 形成情况。结果表明,使用 UCC 所获得的所有实验结果值均低于使用 UC 所获得的结果值。此外,二阶方程(采用响应面方法 (RSM))显示了非常理想的 R2 值(高于 90%),从而反映了自变量和因变量之间的适当关系;因此,RSM 方法可成功用于预测使用 UCC 和 UC 铣削 Inconel 718 的实验值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive investigation of the effect of cryogenic process on machining of Inconel 718 superalloys with uncoated end mills
Inconel 718 is extensively used in crucial fields such as aerospace, space researches, and space stations due to its superior features such as high mechanical strength even at very high temperatures, high oxidation resistance, and resistance to high temperatures. However, this material is categorized as a difficult-to-machine material owing to its high specific strength, high tool wear, and low thermal properties leading to poor machinability and poor surface integrity during machining. In order to overcome the challenges that arise during the machining of these materials, the cryogenic process, which has been very popular in recent years, have come to the fore due to the wear resistance and hardness it provides for the tool. In this statistical and experimental study, Inconel 718 was milled with cryogenically uncoated end mill (UCC) and uncoated end mill (UC) at different cutting parameters. Surface roughness, abrasive wear, cutting forces, cutting tool wear, vibration values, hardness and Build up Edge (BUE) formation obtained as a result of machining experiments were investigated. It was determined that the values of all experimental results obtained with UCCs are lower than those of UCs. Also, the second order equations (by response surface methodology (RSM)) showed very promising values of R2 (above 90%) and thus reflected the appropriate relation of the independent and dependent variables; therefore, RSM approach can be successfully implemented for predicting experimental values in milling Inconel 718 with UCCs and UCs.
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