2020
DOI: 10.1016/j.vacuum.2020.109778
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Experiment and simulation on the high-speed milling mechanism of aluminum alloy 7050-T7451

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Cited by 23 publications
(10 citation statements)
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“…Figure 6 displays the variation of interface pressure, interface temperature, resultant cutting force, and wear rate obtained with a variation in the depth of cut. An increase in interface temperature, interface pressure, and resultant cutting force is observed, and simultaneously a reduction in the wear rate is obtained with an increase in the depth of cut values [39][40][41][42].…”
Section: Resultsmentioning
confidence: 92%
“…Figure 6 displays the variation of interface pressure, interface temperature, resultant cutting force, and wear rate obtained with a variation in the depth of cut. An increase in interface temperature, interface pressure, and resultant cutting force is observed, and simultaneously a reduction in the wear rate is obtained with an increase in the depth of cut values [39][40][41][42].…”
Section: Resultsmentioning
confidence: 92%
“…Based on high-speed machining (HSM), Wang and Liu [28] studied the acoustic emission signals emitted during chip formation to understand the mechanism behind material separation under the effect of the cutting tool, verifying that serrated chip formation contributes significantly to a greater amplitude of the emitted signal, resulting in continuous and bursting signals being obtained. Ping et al [29] also investigated the HSM of 7050-T7451 alloys, developing a model based on AdvantEdge which, based on traditional milling parameters such as cutting speed, feed, depth of cut, and tool geometry, intended to predict the temperature and forces developed in the tool. Differences in the behavior of the XX' and YY' axes were observed over the machining time, and it was noted that the temperature initially increased but then decreased once a certain cutting speed was reached.…”
Section: Milling Aa750 Aluminum Alloymentioning
confidence: 99%
“…In this context, many studies aim to reduce machining time. The main lines for optimization are: enhancing the understanding of cutting phenomena [4][5][6]; improving tool performance [7], selecting the best tools and defining optimal milling parameters [8][9][10], and, finally, enhancing the toolpath geometry [11][12][13].…”
Section: Introductionmentioning
confidence: 99%