Analysis and simulation of the grinding process. Part III: Comparison with experiment

Chen, Xun; Rowe, W.B.; Mills, B.; Allanson, David

doi:10.1016/0890-6955(96)00118-6

Cited by 36 publications

(22 citation statements)

References 5 publications

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“…Because the abrasive grain shape has strong randomness, the spherical grain was widely accepted by most scholars [5,6,10,11,22,24]. In order to ensure the correctness, the spherical grain shape was not blindly adopted.…”

Section: Modeling On Grinding Wheel Surface Topographymentioning

confidence: 99%

Kinematics modeling and simulating of grinding surface topography considering machining parameters and vibration characteristics

Wang

Dai

et al. 2016

Int J Adv Manuf Technol

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Grinding is applied widely in manufacturing of high-precision component. And, pursuing the forming mechanism, together with predicting topography characteristics and roughness of the grinding surface, is becoming more and more important in improving the grinding quality. The grinding surface is formed by the interaction between the grinding wheel and the workpiece. And, its topography is influenced by the grain shape, grinding wheel surface topography, and machining parameters. In this paper, the study started from establishing the topography of wheel surface. And, according to grinding kinematics, the grain trajectory equations were established. By applying the statistical screening methods, the actual cutting depth was determined. Then, the grinding surface topography was formed by simulating. Considering the influence of vibration in actual grinding, the surface topography of the workpiece under forced vibration was studied. The study results showed that the influence of grinding speed was significant for grinding surface topography, mainly in the influence for amplitude and frequency. Finally, the grinding experiments were used to verify the results of the simulation. The obtained experimental results confirmed that the as-proposed method worked efficiently and rapidly in simulating the grinding surface topography and predicting the grinding surface roughness.

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Section: Modeling On Grinding Wheel Surface Topographymentioning

confidence: 99%

Kinematics modeling and simulating of grinding surface topography considering machining parameters and vibration characteristics

Wang

Dai

et al. 2016

Int J Adv Manuf Technol

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“…Dressing significantly affects the quality of the ground product, as characterized by its size and shape, surface roughness and integrity [5]. The conventional contact-type methods, like mechanical dressing using a diamond dresser, results in excessive grinding wheel material loss.…”

Section: Conventional Dressing Of Grinding Wheelsmentioning

confidence: 99%

Laser cleaning and dressing of vitrified grinding wheels

Jackson

Khangar

Chen

et al. 2007

Journal of Materials Processing Technology

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“…Compared with similar previous work [8,12,16] , the general model (GPSM) uses all of the elastic deformation of the previous infeed stages in the current infeed stage simulation, as shown in polynomial equations (13), (16) and (17), especially when the stage ( …”

Section: Grinding Power Signal Model (Gpsm)mentioning

confidence: 99%

“…As the grinding wheel grinds the workpiece, deformation is induced between the wheel and the workpiece, causing a delay between the command signal for the position and the system response [15,16] .…”

Section: Internal Plunge Grinding Force Modelmentioning

confidence: 99%

“…1, the internal plunge grinding machine structure can be simply modelled as three springs: the grinding wheel stiffness s k , the workpiece with a linear spring of stiffness w k , and the contact stiffness a k between the grinding wheel and the workpiece [16] . The overall effective stiffness e k can be expressed by: Fig.…”

Section: Internal Plunge Grinding Force Modelmentioning

confidence: 99%

See 1 more Smart Citation

In-process monitoring and analysis of bearing outer race way grinding based on the power signal

Chi

Chen

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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In production engineering, monitoring of the grinding process is critical for acquiring information on material removal, wheel performance, and workpiece quality. Here, a general model of the power signal and material removal rate is proposed to monitor the internal plunge grinding of a bearing outer race way product. Three continuous grinding cycles after dressing were used to analyse the roughing, semi-finishing, finishing and spark-out process under the same parameters.Based on the actual grinding process, a practical analysis method is applied to improve the general model to predict more accurately the power curve. Finally, estimations of grinding wheel performance and grind quality using the grinding power signal model (GPSM) coefficients are also presented. The experimental results showed that the improved power signal model is capable of solving the industrial problem of multi-stage in-feed grinding cycles and improving grind quality.

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Analysis and simulation of the grinding process. Part III: Comparison with experiment

Cited by 36 publications

References 5 publications

Kinematics modeling and simulating of grinding surface topography considering machining parameters and vibration characteristics

Kinematics modeling and simulating of grinding surface topography considering machining parameters and vibration characteristics

Laser cleaning and dressing of vitrified grinding wheels

In-process monitoring and analysis of bearing outer race way grinding based on the power signal

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