Modeling and predicting surface roughness of the grinding process

Zhou, Xiaoqin; Xi, Fengfeng

doi:10.1016/s0890-6955(02)00011-1

Cited by 203 publications

(90 citation statements)

References 6 publications

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“…From the literature also maximum, minimum and average grit size values for different mesh sizes can be found as given in Table 1. It is reported that maximum and average grit size values are very close to the maximum and average grain protrusion heights respectively [11]. The grits protrusion heights distribution can be considered as either uniform distribution or normal (Gaussian) distribution.…”

Section: Grinding Wheel Topography Generationmentioning

confidence: 83%

A Method to Predict and Visualize the Wheel and Work Surface Topography in Surface Grinding

Setti

Kirsch

Aurich

2017

AMM

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Abstract. Visualization of work surface topography through simulations is very challenging task in grinding process due to the complexity of wheel-work interactions with a very high number of cutting points (grits). Kinematic mapping of abrasive grits on a three-dimensional wheel topography enables the evaluation of ground surface topography through simulations. In this paper, a method for generating the ground surface topography based on wheel specifications is presented. Abrasive grits size, abrasives volume percentage and their nature of distribution on the wheel surface are considered in the modeling and visualization of wheel topography. The simulation results of ground surface topographies prove the feasibility of the developed method.

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Section: Grinding Wheel Topography Generationmentioning

confidence: 83%

A Method to Predict and Visualize the Wheel and Work Surface Topography in Surface Grinding

Setti

Kirsch

Aurich

2017

AMM

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“…If the grinding wheel granularity M was known, the grain maximum size dgmax and average size dgavg could be approximately calculated by the following formula [4] …”

Section: Building Mathematical Model Of Grinding Wheel Topography Anamentioning

confidence: 99%

Research on NC Grinding Tooth Surface Morphology of Spiral Bevel Gear

Ming¹,

Yan²,

Xin³

et al. 2017

dtetr

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Abstract.Based on the analysis of expanding cup wheel topography, grinding wheel model, whose grain diameter and space position on the wheel surface are distributed randomly, is established and used to simulate grinding tooth surface topography. Based on the analysis of the formation mechanism of grinding tooth surface topography, the relative movement relationships between grinding wheel and tooth surface, and the interference and superimposition principle of grain tracks, the modeling and simulation of grinding tooth surface morphology of spiral bevel gear are made. The simulation morphology of grinding tooth surface of spiral bevel gear is obtained by Matlab software. By the comparative study on experiment, The results show that the simulation morphology and experimental observing one is basically identical. These indicate that the topography simulation model of grinding tooth surface of spiral bevel gear established in this paper is more accurate and reasonable.

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“…A technological basis to achieve more efficient utilization of the grinding process requires an understanding of the interaction between the abrasive and the workpiece, which has direct bearing on the surface roughness, produced using electron discharge machining. Although extensive research [3][4][5][6][7][8][9][10][11] has been carried out to predict the surface roughness of the ground workpieces, a complete understanding of surface roughness in grinding is yet to be achieved.…”

Section: Introductionmentioning

confidence: 99%

Surface Roughness Prediction in Grinding: a Probabilistic Approach

Saxena

Agarwal²,

Das

2016

MATEC Web Conf.

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Abstract. Surface quality of machined components is one of the most important criteria for the assessment of grinding processes. The importance of surface finish of a product depends upon its functional requirements. Since surface finish is governed by many factors, its experimental determination is laborious and time consuming. So the establishment of a model for the reliable prediction of surface roughness is still a key problem for grinding. In this study, a new analytical surface roughness model is developed on the basis of the stochastic nature of grinding processes. The model is governed mainly by the random geometry and the random distribution of cutting edges on the wheel surface having random grain protrusion heights. A simple relationship between the surface roughness and the chip thickness was obtained, which was validated by the experimental results using AISI 4340 steel in surface grinding.

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Modeling and predicting surface roughness of the grinding process

Cited by 203 publications

References 6 publications

A Method to Predict and Visualize the Wheel and Work Surface Topography in Surface Grinding

A Method to Predict and Visualize the Wheel and Work Surface Topography in Surface Grinding

Research on NC Grinding Tooth Surface Morphology of Spiral Bevel Gear

Surface Roughness Prediction in Grinding: a Probabilistic Approach

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