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contributor authorDixit, Nitin;Sharma, Varun;Kumar, Pradeep
date accessioned2023-04-06T12:57:56Z
date available2023-04-06T12:57:56Z
date copyright8/25/2022 12:00:00 AM
date issued2022
identifier issn10871357
identifier othermanu_144_12_121009.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288847
description abstractUltrasonicassisted magnetic abrasive flow machining (UAMAFM) process shows enhanced finishing performance compared to conventional abrasive flow machining (AFM). In this present research paper, mathematical models for M˙R and Ra have been developed for the UAMAFM process by considering both steadystate and transient phenomena. The external ultrasonic and magnetic field assistance enhanced the velocity and length of contact of active abrasives, calculated from the kinematic analysis. The resultant finishing forces have also been evaluated by considering these external aids. The steadystate material removal per finishing cycle remains constant and depends on the velocity of motion, length of contact, resulting forces, number of active abrasives, and work material hardness. The transient material removal per finishing cycle was calculated in terms of the volume of irregularities present over the work surface, i.e., initial surface roughness. The mathematical model for surface roughness was developed in terms amount of material removed (MR), and initial (Ra0) and critical surface roughness (Racr). The predicted values of material removed and surface roughness from developed mathematical models agreed with experimental results with a deviation of 7.80% and 2.44%, respectively.
publisherThe American Society of Mechanical Engineers (ASME)
titleMathematical Modeling of Material Removal and Surface Roughness in UltrasonicAssisted Magnetic Abrasive Flow Machining Process
typeJournal Paper
journal volume144
journal issue12
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4055053
journal fristpage121009
journal lastpage12100913
page13
treeJournal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 012
contenttypeFulltext


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