2020
DOI: 10.1016/j.cirp.2020.04.038
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An analytical model to predict interlayer burr size following drilling of CFRP-metallic stack assemblies

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Cited by 12 publications
(4 citation statements)
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“…(3) Using auxiliary machining technology. Hassan et al [12] developed a new analytical model to describe the formation of inlet burrs as a function of tool geometry, operating parameters, and workpiece material properties during machining ductile metals. Hu et al [13] studied robot rotary ultrasonic drilling under a weak rigid environment and verified the influence of high-frequency vibration on burr height.…”
Section: Literature Reviewmentioning
confidence: 99%
“…(3) Using auxiliary machining technology. Hassan et al [12] developed a new analytical model to describe the formation of inlet burrs as a function of tool geometry, operating parameters, and workpiece material properties during machining ductile metals. Hu et al [13] studied robot rotary ultrasonic drilling under a weak rigid environment and verified the influence of high-frequency vibration on burr height.…”
Section: Literature Reviewmentioning
confidence: 99%
“…6 The deburring process regarding as a tedious manual task often leads to significantly increased operation time and cost, while it does not yield any added value, and thus burrs should be reduced as much as possible via using proper technological setup and machining process. 7 In both industrial and scientific sectors, digital processing of optically captured images is the most common evaluation method of burr defect. In addition, controlling/optimizing the spindle speed and feed rate while drilling CFRP is the commonly used method to reduce drilling-induced delamination and burrs.…”
Section: Introductionmentioning
confidence: 99%
“…Then, experimental verification showed that the proposed analytical model can effectively predict the height and thickness of the Poisson burrs. Hassan et al [8] developed a new analytical model to describe entrance burr formation with tool geometry, operating parameters and workpiece material properties as variables.…”
Section: Introductionmentioning
confidence: 99%