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contributor authorHuynh, Hoai Nam
contributor authorAltintas, Yusuf
date accessioned2022-02-05T21:41:10Z
date available2022-02-05T21:41:10Z
date copyright12/9/2020 12:00:00 AM
date issued2020
identifier issn1087-1357
identifier othermanu_143_2_021012.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276137
description abstractA systematic modeling of multibody dynamics of five-axis machine tools is presented in this article. The machine is divided into major subassemblies such as spindle, column, bed, tool changer, and longitudinal and rotary drives. The inertias and mass center of each subassembly are calculated from the design model. The subassemblies are connected with elastic springs and damping elements at contact joints to form the complete multibody dynamic model of the machine that considers the rigid body kinematics and structural vibrations of the machine at any point. The unknown elastic joint parameters are estimated from the experimental modal analysis of the machine tool. The resulting position-dependent multibody dynamic model has the minimal number of degrees-of-freedom that is equivalent to the number of measured modes, as opposed to thousands used in finite element models. The frequency response functions of the machine can be predicted at any posture of the five-axis machine, which are compared against the directly measured values to assess the validity of model. The proposed model can predict the combined rigid body motion and vibrations of the machine with computational efficiency, and hence, it can be used as a digital twin to simulate its dynamic performance in machining operations and tracking control tests of the servo drives.
publisherThe American Society of Mechanical Engineers (ASME)
titleModeling the Dynamics of Five-Axis Machine Tool Using the Multibody Approach
typeJournal Paper
journal volume143
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4048854
journal fristpage021012-1
journal lastpage021012-14
page14
treeJournal of Manufacturing Science and Engineering:;2020:;volume( 143 ):;issue: 002
contenttypeFulltext


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