2006
DOI: 10.1016/j.ijmachtools.2005.04.007
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Prediction of workpiece deformation in a fixture system using the finite element method

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Cited by 99 publications
(35 citation statements)
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“…The aim of this work is to (1) predict part distortion after machining and (2) propose some explanations for the phenomena occurring during this process contributing to part distortion (i.e., finding a relation between residual stress distribution, part distortion, and clamping). To achieve these objectives, it is necessary to (1) determine the initial residual stress field induced by heat treatment; (2) develop a distortion model considering the initial residual stress field, machining clamping forces [10][11][12][13], and sequence effects (i.e., the effect of the distorted shape at a given stage on the material removal from the following machining stage); (3) design and produce a special experimental device with force sensors integrated in the clamping system; and (4) validate the numerical clamping force using this fastening device.…”
Section: Introductionmentioning
confidence: 99%
“…The aim of this work is to (1) predict part distortion after machining and (2) propose some explanations for the phenomena occurring during this process contributing to part distortion (i.e., finding a relation between residual stress distribution, part distortion, and clamping). To achieve these objectives, it is necessary to (1) determine the initial residual stress field induced by heat treatment; (2) develop a distortion model considering the initial residual stress field, machining clamping forces [10][11][12][13], and sequence effects (i.e., the effect of the distorted shape at a given stage on the material removal from the following machining stage); (3) design and produce a special experimental device with force sensors integrated in the clamping system; and (4) validate the numerical clamping force using this fastening device.…”
Section: Introductionmentioning
confidence: 99%
“…Siebenaler and Melkote [5] presented a fixture-workpiece model using finite element method (FEM) to investigate the influence of various parameters on workpiece deformation, including the compliance of the fixture body, contact friction, and mesh density. Prabhaharan et al [6] presented a fixture layout optimization method that used genetic algorithm (GA) and ant colony algorithm (ACA) separately.…”
Section: Introductionmentioning
confidence: 99%
“…Deng and Melkote [17] presented a model-based framework for determining the minimum required clamping force to ensure the dynamic stability of a fixtured workpiece during machining. Siebenaler and Melkote [18] presented a fixtureworkpiece model using FEA to investigate the influence of various parameters on workpiece deformation, including the compliance of the fixture body, contact friction, and mesh density. Ratchev et al [19] addressed this knowledge gap by proposing a fixture-workpiece behaviour prediction methodology that utilized commercial FEA software for the prediction of complex fixture-workpiece behaviour during machining processes.…”
Section: Introductionmentioning
confidence: 99%