2000
DOI: 10.1016/s0890-6955(00)00044-4
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Effect of grinding forces on the vibration of grinding machine spindle system

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Cited by 36 publications
(22 citation statements)
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“…This effect is created by disturbances in the process causing variations in the cutting force and consequently dynamic excitation of the machine-toolfixture-workpiece-system, which results in dynamic variation of the depth of cut. Lobes are generated on the workpiece during its subsequent revolutions [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…This effect is created by disturbances in the process causing variations in the cutting force and consequently dynamic excitation of the machine-toolfixture-workpiece-system, which results in dynamic variation of the depth of cut. Lobes are generated on the workpiece during its subsequent revolutions [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…The truing process had the same conditions as those used in the grinding experiment. The wheel was balanced at the grinding speed being used during each test to attenuate vibration and improve grinding performance [16,17], using a dynamic balancing instrument (Sigma Electronics SB-8002, USA). Five preliminary grinding passes were carried out using a depth of cut of 5 µm prior to each grinding test to make sure all the samples had the same surface status.…”
Section: Grinding Proceduresmentioning
confidence: 99%
“…Since, vibration signals in process carry the abundant dynamic information, vibration signal-based analysis method has been widely utilized for feature extraction and nondestructive damage identification. However, most of the vibration signals sampled on mechanical systems are nonstationary signals containing additional information or abnormal symptom, so that it is the key how to accurately extract dominant features from the dynamic data [2]. Up to date, a number of research results for damage detection have mainly been focused on the stationary signal process; on the other hand, little research has been accomplished for the non-stationary signal process such as speed-varying process [3].…”
Section: Introductionmentioning
confidence: 99%