Characterization of Surface Texture Generated by Plateau Honing Process

Malburg, Mark C.; Raja, J.; Whitehouse, David

doi:10.1016/s0007-8506(07)62527-x

Cited by 114 publications

(38 citation statements)

References 3 publications

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“…This profile includes an elementary pattern of the honed motifs. In fact, the honed surface model based on the bearing area linearization method [3] can be obtained by a series of trapezoidal motifs. This trapezoidal profile varies along the x 1 axis and is invariant following the x 2 axis.…”

Section: Numerical Model Validationmentioning

confidence: 99%

“…Honing is designed to create a controlled surface finish on the cylinder liner [2]. The cylinder bore texture mainly consists of two sets of straight, approximately parallel grooves placed stochastically and appearing at different angles to the cylinder axis [3,4]. The angle between the honing grooves perpendicular to the cylinder axis is termed the cross-hatch angle.…”

Section: Introductionmentioning

confidence: 99%

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The effect of groove texture patterns on piston-ring pack friction

Mezghani

Demirci

Zahouani

et al. 2012

Precision Engineering

121

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. . The prominence of the honing grooves observed suggests that surface texture significantly affects ring-pack performance, although this effect is not clearly understood.In this paper, a numerical model was developed to investigate the effects of groove characteristics on the lubrication condition and friction at the interface between the piston ring and cylinder liner. This model aims to solve the average Reynolds equation, which depends on the real surface topographies of the cylinder liner, and describes the influence of surface irregularities on the lubricant flow under hydrodynamic lubrication conditions, considering lubricant film rupture and cavitations. Numerical results help to determine the optimum lateral groove characteristics to reduce friction and then noxious emissions.

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Section: Numerical Model Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of groove texture patterns on piston-ring pack friction

Mezghani

Demirci

Zahouani

et al. 2012

Precision Engineering

121

View full text Add to dashboard Cite

show abstract

“…With multi-step honing processes (e.g., plateau honing), surfaces with a shallow peak area and a distinct valley area can be created. Hence, the different honing steps can be simulated as Gaussian topographies [24,25]. The combination of those topographies results in the final surface.…”

Section: Approach For the Generation Of Artificial Ground And Honed Smentioning

confidence: 99%

An Approach for the Simulation of Ground and Honed Technical Surfaces for Training Classifiers

et al. 2017

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Training of neural networks requires large amounts of data. Simulated data sets can be helpful if the data required for the training is not available. However, the applicability of simulated data sets for training neuronal networks depends on the quality of the simulation model used. A simple and fast approach for the simulation of ground and honed surfaces with predefined properties is being presented. The approach is used to generate a diverse data set. This set is then applied to train a neural convolution network for surface type recognition. The resulting classifier is validated on the basis of a series of real measurement data and a classification rate of >85% is achieved. A possible field of application of the presented procedure is the support of measurement technicians in the standard-compliant evaluation of measurement data by suggestion of specific data processing steps, depending on the recognized type of manufacturing process.

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“…Traditional centre line average R a has been commonly used to measure the surface quality. However, recent studies have shown that specification of a single R a value is inadequate to completely characterise the complex surface roughness profile, especially, when questions such as contact area, contact mechanics, lubricant retention, and wear become important (Malburg and Raja, 1993;Bernados and Vosniako, 2002). Many attempts that have been made to develop a variety of techniques for surface finishing through diverse machining processes and many attempts to model the processes and optimise the process parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of honing process parameters for reducing surface roughness and power consumption on grey cast iron (FG-260I)

Vates¹,

Sharma²,

Mittal³

2017

IJASMM

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Optimisation of cylinder liner surface characteristics is being done in honing process for (FG-260I) grey cast iron. Response surface methodology (RSM) and design of experiment (L54) has been used with six input variables to conduct the experiments. The parameters influencing the surface finish and corresponding power consumptions were selected on the basis of available extent literature. Second order RSM approach has been applied to develop a suitable model in honing process having six inputs and single output parameters (R a ). The significant effect of input parameters on surface roughness with corresponding power consumptions has been analysed using combined effort of RSM modelling and analysis of variance (ANOVA). The RSM modelling for the honing process on FG-260I gives significant correlation coefficient (R 2 ) of 96.7% and adjusted correlation coefficient (R adj ) 2 96.5 %. The minimum surface roughness has been found by optimal parametric combinations using root mean square error (RMSE) approach. The optimised process parameters will yield acceptable surface finish at least power consumption.

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Characterization of Surface Texture Generated by Plateau Honing Process

Cited by 114 publications

References 3 publications

The effect of groove texture patterns on piston-ring pack friction

The effect of groove texture patterns on piston-ring pack friction

An Approach for the Simulation of Ground and Honed Technical Surfaces for Training Classifiers

Optimisation of honing process parameters for reducing surface roughness and power consumption on grey cast iron (FG-260I)

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