Multi-surface topography targeted plateau honing for the processing of cylinder liner surfaces of automotive engines

Lawrence, K. Deepak; Ramamoorthy, B.

doi:10.1016/j.apsusc.2015.12.245

Cited by 49 publications

(33 citation statements)

References 27 publications

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“…When |ρ| is closer to 1, the more "linear" is the relationship between features. [2,8,12,13] However, one should not draw conclusions based on the value of the correlation coefficient only. Therefore, trying to determine which of the roughness parameters describes best the change in the characteristic profile also included evaluation index takes into account the comparison of percentage changes in the value of the test, modeled profile feature witch change rates roughness parameters.…”

Section: Roughness Parameters Evaluation Indicators For Description Omentioning

confidence: 99%

Applicability of Selected Groups of Roughness Parameters for Description of Surface Layer of Flat - Top “Plateau” Structures

Kowalski

Wiśniewska

Karolczak

et al. 2016

Adv. Sci. Technol. Res. J.

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The aim of this study is to determine the usefulness of selected 2D roughness parameters for detecting changes of geometric features and the rate the quality of the surface generated in the process of honing combustion engines sleeves. The paper presents the importance of mathematical modeling of virtual surface topography with different participation of determined and random factor. The possibilities of modeling the flat-top "plateau" surface roughness characteristic for honed surface was showed. Suitability of application of the roughness parameter for description of the selected variable characteristics of roughness profiles were determined using the correlation coefficient and the additional evaluation index designated as t. Indicator t was used for comparing the percentage change of the tested value of modeled profile characteristics with changes selected for evaluation of the roughness parameters 2D.

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Section: Roughness Parameters Evaluation Indicators For Description Omentioning

confidence: 99%

Applicability of Selected Groups of Roughness Parameters for Description of Surface Layer of Flat - Top “Plateau” Structures

Kowalski

Wiśniewska

Karolczak

et al. 2016

Adv. Sci. Technol. Res. J.

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“…It was well known that the surface concave could improve the wear properties of the friction pair [1,7] and various surface texturing methods were employed by researchers to process the surface of friction pairs [31]. However, little research was focused on the effect of the texturing methods in understanding the wear mechanisms and lubrication performances.…”

Section: Friction Coefficients Under Different Texturing Methodsmentioning

confidence: 99%

“…The selection of the geometries was based on existing work [1,2,8,22] in which a dimpled surface was reported to reduce friction although the influences of different processing methods and mixed micro-groove structures were not take into account. The computer numerical control precision machining (CNCPM) was employed to produce the texted surface textures including the microconcave and micro V-groove.…”

Section: Test Sample Preparationmentioning

confidence: 99%

“…Cylinder liner-piston ring (CLPR) system is one of the major contributors for the mechanical losses in a diesel engine [1]. Surface texture of the cylinder liner is identified as one of the significant factors that improve the tribological properties of diesel engine with regard to wear (surface topography and running performance), oil consumption, fuel efficiency, lubrication oil (element concentration and wear particle), and so on [2].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Study on Wear Performance and Oil Film Characteristics of Surface Textured Cylinder Liner in Marine Diesel Engine

Guo

Yuan

Bai

et al. 2018

Chin. J. Mech. Eng.

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It is of a vital importance to reduce the frictional losses in marine diesel engines. Advanced surface textures have provided an effective solution to friction performance of rubbing pairs due to the rapid development of surface engineering techniques. However, the mechanisms through which textured patterns and texturing methods prove beneficial remains unclear. To address this issue, the tribological system of the cylinder liner-piston ring (CLPR) is investigated in this work. Two types of surface textures (Micro concave, Micro V-groove) are processed on the cylinder specimen using different processing methods. Comparative study on the friction coefficients, worn surface texture features and oil film characteristics are performed. The results demonstrate that the processing method of surface texture affect the performance of the CLPR pairs under the specific testing conditions. In addition the micro V-groove processed by CNCPM is more favorable for improving the wear performances at the low load, while the micro-concave processed by CE is more favorable for improving the wear performances at the high load. These findings are in helping to understand the effect of surface texture on wear performance of CLPR.

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“…Thus, Rpk value is expected to be reduced after the running in period of an engine (Feng et al 2002). It is possible to reduce Author Rpk parameter from the manufacturing process by means of plateau-honing operation, in which a very fine grain size is employed to remove peaks from previous honing operations (Kanthababu et al 2010;Lawrence & Ramamoorthy 2016). The plateau honing operation allows controlling bearing area at the top of the surface.…”

Section: Introductionmentioning

confidence: 99%

Neural network modelling of Abbott-Firestone roughness parameters in honing processes

2017

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In present study, three roughness parameters defined in the Abbott-Firestone or bearing area curve, Rk, Rpk and Rvk, were modeled for the rough honing processes by means of Artificial Neural Networks (ANN). Input variables were grain size and density of abrasive, pressure of abrasive stones on the workpiece's surface, tangential or rotation speed of the workpiece and linear speed of the honing head. A back propagation algorithm was used for training the networks. Two strategies were considered, use of either one network for modeling the three parameters at the same time and use of three networks, one for each parameter. Best network was chosen among different structures, having either one or two hidden layers. When one network is considered, best solution corresponds to two hidden layers having 26 and 11 neurons. However, overall best neural network consists of three networks, one for each roughness parameter, with one hidden layer having 25, 9 and 5 neurons respectively.

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Multi-surface topography targeted plateau honing for the processing of cylinder liner surfaces of automotive engines

Cited by 49 publications

References 27 publications

Applicability of Selected Groups of Roughness Parameters for Description of Surface Layer of Flat - Top “Plateau” Structures

Applicability of Selected Groups of Roughness Parameters for Description of Surface Layer of Flat - Top “Plateau” Structures

Experimental Study on Wear Performance and Oil Film Characteristics of Surface Textured Cylinder Liner in Marine Diesel Engine

Neural network modelling of Abbott-Firestone roughness parameters in honing processes

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