A Study on how Grinding Technology Parameters Affect the Surface Texture Formation of Marine Diesel Engine Crankshafts

2012 ◽  
Vol 538-541 ◽  
pp. 1413-1421 ◽  
Author(s):  
Toms Torims ◽  
Janis Vilcans ◽  
Marcis Zarins ◽  
Valdis Brutans ◽  
Andris Ratkus
Keyword(s):  
Surface Roughness ◽  
Surface Texture ◽  
Three Dimensions ◽  
Innovative Technology ◽  
Surface Model ◽  
Roughness Parameters ◽  
Repair Work ◽  
Surface Roughness Parameters ◽  
The Impact ◽  
Dimensional Surface

New technology has been developed to permit repair work on one of the main and most important components of shipboard diesel engines—the crankshaft—without removing it from engine. It is no longer necessary to dismantle the whole engine and as such, this innovative technology significantly reduces repair costs. However, the impact of this novel grinding technology on the surface roughness parameters is not yet clear and requires additional scientific analysis. Machining technology and cutting regimes, as well as the material of the tool being used, all have a direct impact on the surface texture and consequently on the quality of the repair as a whole. Therefore, to realise this innovation, it is necessary to carry out additional research into the impact of grinding technology parameters on the surface formation of the crankshaft main and crankpin bearings (journals). Current roughness research is usually restricted to two-dimensional surface roughness parameters—simple profile analysis. Nevertheless, in practice any surface has three dimensions, which give it a characteristic texture. It is therefore also necessary to create a new theoretical 3-D surface model for crankshaft bearings surfaces. This will allow us to analyse the full-scale impact of technological grinding regimes on the actual three-dimensional surface. This study revealed that optimal 3-D surface roughness (texture) parameters for crankshafts depend upon: the mean arithmetical deviation of the surface, RaT, and two perpendicular surface spacing parameters between the peaks Sm1 and Sm2. Multifactorial research shows individual significance of each technological regime and overall impact on the 3-D parameter RaT, Sm1 and Sm2. The approach and methodology adopted for the experiments enabled us to identify the optimal and most appropriate grinding technology parameters.

Surface Texture’s Role in Assessing Surface Integrity of Machined Parts

2010 ◽  
Vol 34-35 ◽  
pp. 1145-1148
Author(s):  
Quan Ren Zeng ◽  
Geng Liu ◽  
Lan Liu ◽  
Rui Ting Tong
Keyword(s):  
Surface Roughness ◽  
Surface Integrity ◽  
Surface Texture ◽  
Functional Performance ◽  
Fatigue Property ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Surface Roughness Parameters ◽  
Machined Parts

Surface texture, as one of the typical surface integrity characteristics, plays a vital part in efficiently and systematically evaluating the surface integrity and relevant mechanical properties of machined parts. Commonly used 2D surface roughness parameters are formularized and discussed in this paper. And 3D characterization technique is also illustrated through measuring and describing a machined surface with an optical profiling system. The relationship between surface texture and the fatigue property of final machined parts are discussed by employing the quantity of effective stress concentration factor which could be expressed by the standard surface roughness parameters and measured averaged root radius of surface texture’s valleys. This research emphasizes the indispensable role of the surface texture in evaluating surface integrity and corresponding functional performance of machined parts.

Contact Estimation Using 3D Surface Roughness Parameters

2016 ◽  
Vol 721 ◽  
pp. 373-377
Author(s):  
Armands Leitans ◽  
Oskars Linins ◽  
Irina Boiko
Keyword(s):  
Surface Roughness ◽  
Friction Coefficient ◽  
Surface Model ◽  
Roughness Parameters ◽  
Random Surface ◽  
Surface Roughness Parameters ◽  
3D Surface ◽  
Normal Probability ◽  
3D Surface Roughness ◽  
Normal Probability Distribution

This work is devoted to the elaboration of the new methodology for the wear parts contact estimation using 3D surface roughness parameters defined in the standard ISO 25178-2:2012 for friction and wear rate determination. In our research the random surface model was used, where the height of surface asperities h (x,y) has a normal probability distribution. As a result of research the equations for estimation of the elastic contact area and friction coefficient were derived. The existence of the correlation between friction coefficient and 3D surface roughness parameters was proven as well. The results of this work could have wide practical application, for example in design, for the texture specification on drawings, calculation of load, etc.

Influence of surface functional parameters on friction behavior and elastic–plastic deformation of grinding surface in mixed lubrication state

2018 ◽  
Vol 233 (6) ◽  
pp. 870-883 ◽  
Author(s):  
Bin Zhao ◽  
Song Zhang ◽  
Jianfeng Li
Keyword(s):  
Surface Roughness ◽  
Surface Topography ◽  
Mixed Lubrication ◽  
Surface Model ◽  
Roughness Parameters ◽  
Solid Contact ◽  
Friction Behavior ◽  
Surface Roughness Parameters ◽  
Simulation And Experiment ◽  
Friction Performance

Mixed lubrication is a common lubrication regime in sliding contact and has received much attention in recent research. The influences of surface topography on friction performance in this lubrication state are significant owing to the coexistence of fluid–solid contact and solid–solid contact conditions. First, an accuracy surface model is built based on wavelet transform results. Then, the average Reynolds equation is revised for a grinding surface to be used in simulation. Third, four surface roughness parameters ( Sa, Sbi, S ci, and Svi) are selected to characterize surface topography. Additionally, the impacts on the solid–solid contact area, friction coefficient, and surface flattening are investigated. Finally, optimizations of surface roughness parameters directed toward energy saving and sliding stability are conducted and verified. Simulation and experiment methods are jointly applied to guarantee the accuracy of this research. The result of this study can provide theoretical support for machining contact surfaces.

scholarly journals Determination of 3D Surface Roughness Parameters by Cross-Section Method

2014 ◽  
Vol 51 (2) ◽  
pp. 60-64
Author(s):  
J. Rudzitis ◽  
J. Krizbergs ◽  
M. Kumermanis ◽  
N. Mozga ◽  
A. Ancans ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Cross Section ◽  
Rough Surfaces ◽  
Three Dimensions ◽  
Roughness Parameters ◽  
Mean Values ◽  
Surface Roughness Parameters ◽  
3D Surface ◽  
3D Surface Roughness ◽  
Cross Section Profile

Abstract Currently, in the production engineering the surface roughness parameters are estimated in three dimensions, however, the equipment for these measurements is rather expensive and not always available. In many cases to buy such equipment is not economically justified. Therefore, the 3D surface roughness parameters are usually determined from the well-known 2D profile ones using the existing 2D equipment. This could be done best using the cross-section (or profile) method, especially in the case of nanoroughness estimation, with calculation of the mean values for the roughness height, spacing, and shape. This method - though mainly meant for irregular rough surfaces - can also be used for other types of rough surfaces. Particular emphasis is here given to the correlation between the surface cross-section (profile) parameters and 3D parameters as well as to the choice of the number of cross-cuttings and their orientation on the surface.

The Dependence of 3D Surface Roughness Parameters on High-Speed Milling Technological Parameters and Machining Strategy

2014 ◽  
Author(s):  
Toms Torims ◽  
Andris Logins ◽  
Pedro Castellano Rosado ◽  
Santiago Gutiérrez ◽  
Rafael Torres
Keyword(s):  
Surface Roughness ◽  
High Speed ◽  
Production Costs ◽  
Manufacturing Strategy ◽  
Roughness Parameters ◽  
High Speed Milling ◽  
Surface Roughness Parameters ◽  
3D Surface ◽  
3D Surface Roughness ◽  
The Impact

High-speed milling is an effective machining method extensively used in modern material processing. This machining method offers increased efficiency, quality and accuracy of the machined surface as well as considerably reducing overall production costs and machining time. This paper outlines comprehensive research into the impact of the technological strategy and processed materials on carefully selected 3D surface roughness parameters. This research provides manufacturers who use high-speed milling with recommendations on how to better obtain the desired surface roughness parameters. More specifically, it covers multifactorial analysis of the following factors: feed rate, manufacturing strategy, overlap and material influences on the most characteristic 3D surface parameters. The results are based on ANOVA – analysis of variance, where differences between groups of means are analysed using a range of statistical models. Subsequent analysis and respective conclusions identify the most significant factors as being the material and high-speed milling manufacturing strategy. Analytically justified recommendations for manufacturers regarding the preferred high-speed milling strategies are provided. The research concluded that the values of the selected 3D surface roughness parameters in high-speed milling depend significantly on the type of material being machined, milling mode and cutting tool overlap as well as feed. In particular, Sa - the arithmetic mean height, is highly sensitive to the milling mode.

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