A model for simulating vibration responses of grinding machine-workpiece-hand-arm systems

The objective of this study was to develop a vibration model of a grinding machine-workpiece-hand-arm system. A lumped-parameter model structure of the system was proposed, and its major parameters were determined using the mechanical impedance measured at the grinding point of a typical workpiece (...

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Veröffentlicht in:Journal of sound and vibration 2018-09, Vol.431, p.276-294
Hauptverfasser: Dong, Ren G., Welcome, Daniel E., Xu, Xueyan, Chen, Qingsong, Lin, Hansheng, McDowell, Thomas W., Wu, John Z.
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Sprache:eng
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Zusammenfassung:The objective of this study was to develop a vibration model of a grinding machine-workpiece-hand-arm system. A lumped-parameter model structure of the system was proposed, and its major parameters were determined using the mechanical impedance measured at the grinding point of a typical workpiece (golf club head) held by two hands and referenced to the vibration transmissibility spectra measured at the wrist and on the upper arm of human subjects. The model reasonably predicted the vibration transmissibility spectra measured on the club head and the driving-point response function when the grinding contact stiffness was below a certain value. This suggests that the model is acceptable not only to enhance the understanding of the system responses, but also to explore some engineering methods for controlling vibration exposures during the grinding process. The identified model parameters reveal that the major resonance of the handheld workpiece depends primarily on its mass and grinding contact stiffness. The feed force applied in the grinding process can substantially affect the grinding contact stiffness; as a result, it can significantly influence the resonance. Vibration-reducing gloves can marginally increase the workpiece resonance, but these gloves can reduce some vibration transmitted to the hand-arm system. This study also clarified an important mechanism for the prediction errors of linear human vibration models, which is useful to further improve human vibration modeling.
ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2018.06.008