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dc.contributor.authorBayesteh, Abdolreza
dc.contributor.authorKo, Junghyuk
dc.contributor.authorJun, Martin Byung
dc.date.accessioned2017-05-09T01:32:04Z
dc.date.available2017-05-09T01:32:04Z
dc.date.issued2016
dc.identifier.issn2166-0468
dc.identifier.otherjmnm_004_02_021004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/162152
dc.description.abstractThere is an increasing demand for product miniaturization and parts with features as low as few microns. Micromilling is one of the promising methods to fabricate miniature parts in a wide range of sectors including biomedical, electronic, and aerospace. Due to the large edge radius relative to uncut chip thickness, plowing is a dominant cutting mechanism in micromilling for low feed rates and has adverse effects on the surface quality, and thus, for a given tool path, it is important to be able to predict the amount of plowing. This paper presents a new method to calculate plowing volume for a given tool path in micromilling. For an incremental feed rate movement of a micro end mill along a given tool path, the uncut chip thickness at a given feed rate is determined, and based on the minimum chip thickness value compared to the uncut chip thickness, the areas of plowing and shearing are calculated. The workpiece is represented by a dualDexel model, and the simulation properties are initialized with real cutting parameters. During realtime simulation, the plowed volume is calculated using the algorithm developed. The simulated chip area results are qualitatively compared with measured resultant forces for verification of the model and using the model, effects of cutting conditions such as feed rate, edge radius, and radial depth of cut on the amount of shearing and plowing are investigated.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleMicro Flat End Milling Simulation Model With Instantaneous Plowing Area Prediction
dc.typeJournal Paper
dc.journal.volume4
dc.journal.issue2
dc.journal.titleJournal of Micro and Nano
dc.identifier.doi10.1115/1.4032757
dc.journal.fristpage21004
dc.journal.lastpage21004
dc.identifier.eissn1932-619X
dc.treeJournal of Micro and Nano-Manufacturing:;2016:;volume( 004 ):;issue: 002
dc.contenttypeFulltext


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