Nonlinear Model for the Instability Detection in Centerless Grinding Process

Robles-Ocampo, J.B.; Jáuregui-Correa, Juan Carlos; Krajnik, Peter; Sevilla-Camacho, P. Y.; Herrera-Ruíz, Gilberto

doi:10.5545/sv-jme.2012.649

Cited by 5 publications

(4 citation statements)

References 25 publications

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“…For a more detailed determination of the compliant mode, the percentage value of the quartile range x0.75-x0. 25 was calculated for all modes, with the range corresponding to mode 0 considered as the reference range. These data can be found in Table 6.…”

Section: Processing For Individual Modesmentioning

confidence: 99%

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Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel

et al. 2022

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In today’s engineering industry, technical diagnostics presents many advantages for improving the management of machining centers and automated production lines. As the fourth industrial revolution is currently being implemented, which includes machine diagnostics, the idea of adding information from the field of vibrodiagnostics was born. The vibration of the workpiece or machine tool negatively affects the geometric parameters of the machined surfaces of the workpiece. Through vibrodiagnostics, the influence of cutting parameters on the oscillation of a bearing steel workpiece during centerless grinding is investigated. The presented publication deals with the vibration of the mechanical parts of a centerless grinding machine. The oscillations are recorded by acceleration sensors, which are also placed on the support ruler in which the workpieces are guided, and the recorded data are input parameters for statistical processing of acceleration values in the form of statistical characteristics (minimum, lower quartile, median, upper quartile, maximum). In this paper, this procedure was applied for the selection of the optimum cutting parameters (for the speed of the support wheel), where the machining parameters at which the minimum oscillation values occur were selected based on the above-mentioned statistical characteristics. This optimization procedure revealed increased vibration values which reached the highest amplitude on the ruler, namely accelerations of 11 m/s2, the origin of which was subsequently detected by STFT because the occurrence of resonance events or the excitation of natural frequencies of the machine were suspected. The STFT analysis identified a resonant region at machine start-up determined by the spindle speed which excites the resonance on the machine. The speed range between 1950 and 2150 rpm, which corresponds to the built-up resonance, was provided to the technologists to ensure that the machine was not operated around this resonance region at 400 and 760 Hz until the undesired phenomenon was eliminated. The results of the individual measurements provided information on the ideal setting of the cutting parameters and the current state of the machine.

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Section: Processing For Individual Modesmentioning

confidence: 99%

“…It may contain some polygons that can be well simulated and their critical number recalculated. Simulations further present that the unstable state of the system is the result of a moving workpiece with a polygonal shape and a vertical displacement of the workpiece between the grinding and regulating wheel [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel

et al. 2022

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“…Much research has been done concerning experimental and analytical grinding vibrations to identify the vibration form during grinding. Robles-Ocampo et al [5] presented a novel nonlinear model for centreless grinding which describes the dynamic behaviour of the process. Zhang et al [6] proposed a non-linear dynamic model to research the dynamic characteristics of the grinding process and the different vibrations resulting in the qualitative behaviour of the grinding machine was demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Process Parameter Effects on Vibrations in the High-Speed Grinding of a Camshaft

Liu

Deng

et al. 2020

SV-JME

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The capacity to minimize vibrations in grinding by the selection of appropriate process parameters is a significant benefit in the process optimization of cam grinding. This paper presents survey methods to characterize and quantify the vibrations and waviness in a camshaft grinding application. First, a modal analysis was conducted to study the dynamic characteristic of a camshaft grinding machine. Then, developed methods were applied to study the influences of various parameters on vibrations in the high-speed grinding of a camshaft. Furthermore, the influence of each grinding process condition on surface waviness in high-speed camshaft grinding was studied. The results show that the vibrations and the surface waviness change with the increase of grinding depth, and an appropriate grinding wheel speed combined with a workpiece speed has, for most grinding conditions, a reducing effect on vibration magnitudes and waviness. Finally, the specific indications about the optimal grinding process parameters in terms of dynamic characteristics of the grinding machine were given, and the speed ratio=1.2 is a novel choice.

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“…The chatter phenomenon has been intensively researched in finalizing machining operations such as turning [3] and milling (removal rate maximization and chatter suppression) [4] and [5]. Grinding is also highly susceptible to the occurrence of chatter, so several researchers have contributed to the understanding of the chatter phenomenon by non-linear coarse-grained entropy rate analysis [6], non-linear modelling of the grinding process and chatter prediction [7], as well as chatter detection [8] and stability lobe prediction [9].…”

Section: Introductionmentioning

confidence: 99%

Experimental Chatter Characterization in Metal Band Sawing

Thaler¹,

Potočnik

Kopač

et al. 2014

SV-JME

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In this paper, the influence of the cutting speed and of the distance between the blade supports on chatter phenomena is investigated. For this purpose a series of experiments with triangular cutting speed variation at several pre-selected distances between the blade supports was conducted on structural steel (St37, DIN 17100) workpieces. A feature for chatter detection was extracted from the power spectra of the machine vibration signal, and a set of characteristics was introduced for experimental chatter characterization. The results showed the presence of a chatter hysteresis which depended on the cutting speed. Additionally, apart from the blade support distance, the cutting speed was shown to be a strongly influencing parameter, and as such also promising for chatter control in band sawing processes.

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Nonlinear Model for the Instability Detection in Centerless Grinding Process

Cited by 5 publications

References 25 publications

Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel

Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel

Experimental Analysis of Process Parameter Effects on Vibrations in the High-Speed Grinding of a Camshaft

Experimental Chatter Characterization in Metal Band Sawing

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