2022
DOI: 10.5109/4794205
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The Influence of Flexure Variation to Vibration-Assisted Micro-Milling Device by Using Finite Element Analysis

Abstract: This paper presents a compact method to predict the amplitude displacement and evaluate the influence of flexure structure on the vibration-assisted micro-milling device.The voltage load and flexure dimension variation are applied to the Finite Element model to obtain the predicted amplitude displacement. The simulation results show that amplitude displacement increases linearly along with the voltage load, but the influence of flexure thickness shows a varying trend on the amplitude displacement. The method c… Show more

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Cited by 4 publications
(4 citation statements)
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“…Condition monitoring of the transmission assembly was performed using vibration signals collected from an all-terrain vehicle (ATV) transmission. From the results of finite element analysis, they identified the defective parts of the gear [24][25][26] .…”
Section: Discussionmentioning
confidence: 99%
“…Condition monitoring of the transmission assembly was performed using vibration signals collected from an all-terrain vehicle (ATV) transmission. From the results of finite element analysis, they identified the defective parts of the gear [24][25][26] .…”
Section: Discussionmentioning
confidence: 99%
“…In some other study, the approach for forecasting amplitude shifts and assessing the impact of bending structures on vibration-assisted micromilling devices is presented. To get the projected amplitude shift, the nite element model is subjected to a tensile load and a bending dimension change (Libyawati et al, 2022).…”
Section: Related Workmentioning
confidence: 99%
“…In this current study, FEM was considered due to its capacity to address challenges related to discrete element, particularly complex structural models 12,16) . Additionally, the application of FEM proves highly effective for structural analysis, resulting in time and cost savings in laboratory experiments 17,18) . FEM analysis can optimize several component dimensions and material determinations for shock absorber modeling 19) .…”
Section: Introductionmentioning
confidence: 99%