2022
DOI: 10.21303/2461-4262.2022.002440
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Numerical modeling and experimental evaluation of machining parameters for 2-dimensions ultrasonic-assisted micro-milling at low and high-speed machining

Abstract: Vibration assisted machining (VAM) is one of the hybrid machining processes for improving the machined surface quality. VAM performance is mainly influenced by the combination of machining and vibration control parameters, where surface roughness value (Ra) became the benchmarking indicator. It is difficult to determine the optimum parameter combination to produce high precision products, especially for micro-milling, due to the interconnected correlation among parameters. The benefits of high-speed machining … Show more

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“…The obtained results reveal that when high-frequency vibration is introduced to the workpiece using the proposed setup during the micro-milling process, there is a noticeable decrease in the average surface roughness value. Similar trends in the enhancement of surface roughness have been observed and reported by various researchers[32][33] using both resonant and non-resonant workpiece vibration systems. In the workpiece vibration device designed and fabricated in this study, a similar improvement in surface roughness values is observed as vibration frequency increases, reaffirming its suitability for vibration-assisted micro milling.…”
supporting
confidence: 89%
“…The obtained results reveal that when high-frequency vibration is introduced to the workpiece using the proposed setup during the micro-milling process, there is a noticeable decrease in the average surface roughness value. Similar trends in the enhancement of surface roughness have been observed and reported by various researchers[32][33] using both resonant and non-resonant workpiece vibration systems. In the workpiece vibration device designed and fabricated in this study, a similar improvement in surface roughness values is observed as vibration frequency increases, reaffirming its suitability for vibration-assisted micro milling.…”
supporting
confidence: 89%