2018
DOI: 10.12913/22998624/87026
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Analysis of Typical Structures of Dynamic Systems of Machining of Elastic-Deformable Shafts With Low Rigidity

Abstract: In the process of machining of shafts with low rigidity it is difficult to achieve the required parameters of accuracy of form and dimensions and of surface quality. Under specific conditions, low inherent rigidity and the relatively low shaft rigidity, compared to the rigid assemblies of the machine tool, cause vibrations. The paper presents a 7-level hierarchical mathematical model of the system of longitudinal turning and a mathematical model of the dynamic system of machining of shafts with low rigidity in… Show more

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Cited by 1 publication
(1 citation statement)
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“…Liu et al [10] implemented a finite difference (FD) analysis method for calculating the deformations of multi-diameter workpieces during cutting. The authors of [11] presented a mathematical model of the system of longitudinal turning and a mathematical model of the dynamic system of the machining of shafts with a low rigidity in the elastic-deformable state while considering factors interfering with and destabilizing the process of shaft machining. Benardos et al [12] verified that the numerical method and development of an ANN (artificial neural network) model were based on data gathered from turning experiments conducted on a CNC lathe, thus allowing for a reduction of workpiece elastic deflections under cutting forces in turning.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [10] implemented a finite difference (FD) analysis method for calculating the deformations of multi-diameter workpieces during cutting. The authors of [11] presented a mathematical model of the system of longitudinal turning and a mathematical model of the dynamic system of the machining of shafts with a low rigidity in the elastic-deformable state while considering factors interfering with and destabilizing the process of shaft machining. Benardos et al [12] verified that the numerical method and development of an ANN (artificial neural network) model were based on data gathered from turning experiments conducted on a CNC lathe, thus allowing for a reduction of workpiece elastic deflections under cutting forces in turning.…”
Section: Introductionmentioning
confidence: 99%