Influence of Shearing Surface Topography on Frictional Properties of ZnS Nanowire-Based Lubrication System across Ductile Surfaces

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Bassem A. Kheireddin ◽  
Vinay Narayanunni ◽  
Mustafa Akbulut
Keyword(s):  
Surface Roughness ◽  
Friction Coefficient ◽  
Roughness Parameter ◽  
Roughness Parameters ◽  
Integer Multiple ◽  
Frictional Properties ◽  
Surface Roughness Parameters ◽  
Mean Pressure ◽  
Study Offer ◽  
Selection Of

This work deals with the effect of surface roughness parameters on the frictional properties of nanowire-based lubrication systems (NBLS) across Cu surfaces with various topographies. The friction coefficient was discussed in the context of surface roughness parameters including the rms height, inter-island separation and a combined roughness parameter related to the pressure experienced by each nanowire. It was concluded that the rms height of asperity should not be lower than the radius of nanoparticles for effective lubrication. In addition, when the inter-island separation is an integer multiple of the nanowire length, nanowires perform as effective lubricants. Furthermore, the friction coefficient increased when the mean pressure experienced by the nanowires increased. The results obtained in this original study offer some interesting insights into the frictional properties of NBLS as a function of surface roughness parameters. This could lead to a great impact on the selection of nanoparticle-based lubricant aimed at reducing wear and energy losses for various applications.

Considerations Regarding Some Surface State Parameters Characterized by a more Restricted Use

2015 ◽  
Vol 809-810 ◽  
pp. 93-98
Author(s):  
Ionuţ Urzică ◽  
Ciprian Râznic ◽  
Mihai Apostol ◽  
Corina Mihaela Pavăl ◽  
Mihai Boca ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Roughness Parameter ◽  
Cutting Speed ◽  
Roughness Parameters ◽  
Turning Process ◽  
Nose Radius ◽  
Machined Surface ◽  
Surface Roughness Parameter ◽  
Surface Roughness Parameters ◽  
Restricted Use

Frequently, on the drawings of mechanical parts, only indications concerning the surface roughness parameter Ra and, relatively rarely, the surface roughness parameter Rz are included. However, the study of the machined surface roughness highlights the necessity to use yet other surface roughness parameters, in order to have a clearer image on the state of the machined surface. Some other surface roughness parameters possible to be used and presenting importance, without the parameters Ra and Rz, were highlighted. One took into consideration the possibility of measuring parameters Rsk and Rmr by means of the available surface roughness testers. Experimental researches of turning by applying the method of full factorial experiment were developed. As input factors in turning process, the cutting speed, the feed rate and the tool nose radius were used. The experimental results were mathematically processed, being determined empirical mathematical models that highlight the influence of certain input factors of turning process on the values of some surface roughness parameters characterized by a more restricted use

scholarly journals The influence of technological parameters on surface roughness during turning and roughness prediction using artificial neutral networks

Mechanik ◽  
2018 ◽  
Vol 91 (10) ◽  
pp. 898-900 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Monika Kulisz ◽  
Tomasz Warda
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Artificial Neural Network ◽  
Aluminum Alloy ◽  
Roughness Parameter ◽  
Cutting Speed ◽  
Roughness Parameters ◽  
Technological Parameters ◽  
Surface Roughness Parameters ◽  
Roughness Prediction

The purpose of this investigation was to determine whether and to what extent the technological parameters of turning (feed, cutting speed) affect selected surface roughness parameters of aluminum alloy EN-AW 7075 (AlZn5.5MgCu). The principal findings indicate a significant impact of feed and show on the surface roughness and simultaneously show that cutting speed has no effect on the value of surface roughness parameters under investigation. An artificial neural network was employed to evaluate the prediction of surface roughness parameter Rz in turning.

scholarly journals Tribological Properties of PVD Ti/C-N Nanocoatnigs

2017 ◽  
Vol 54 (2) ◽  
pp. 64-71
Author(s):  
A. Leitans ◽  
J. Lungevics ◽  
J. Rudzitis ◽  
A. Filipovs
Keyword(s):  
Surface Roughness ◽  
Wear Resistance ◽  
Friction Coefficient ◽  
Wear Rate ◽  
Tribological Properties ◽  
Roughness Parameter ◽  
Surface Wear ◽  
Roughness Parameters ◽  
Coating Deposition ◽  
2D And 3D

Abstract The present paper discusses and analyses tribological properties of various coatings that increase surface wear resistance. Four Ti/C-N nanocoatings with different coating deposition settings are analysed. Tribological and metrological tests on the samples are performed: 2D and 3D parameters of the surface roughness are measured with modern profilometer, and friction coefficient is measured with CSM Instruments equipment. Roughness parameters Ra, Sa, Sz, Str, Sds, Vmp, Vmc and friction coefficient at 6N load are determined during the experiment. The examined samples have many pores, which is the main reason for relatively large values of roughness parameter. A slight wear is identified in all four samples as well; its friction coefficient values range from 0,.21 to 0.29. Wear rate values are not calculated for the investigated coatings, as no expressed tribotracks are detected on the coating surface.

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.

scholarly journals Analysis of surface roughness parameters in billets obtained by method of additive technologies

2019 ◽  
Vol 2019 (12) ◽  
pp. 3-11
Author(s):  
Vyacheslav Bezyazychnyy ◽  
Denis Fedoseev
Keyword(s):  
Surface Roughness ◽  
Tilt Angle ◽  
Roughness Parameter ◽  
Laser Sintering ◽  
Additive Technologies ◽  
Roughness Parameters ◽  
Additive Technology ◽  
Surface Roughness Parameters

The investigation results of surface roughness parameters in billets obtained by the method of additive technology (laser sintering) are presented. There are obtained dependences of roughness parameter Ra upon a surface tilt angle regarding a plane of billet formation and an angle of a surface turn with regard to a cutter motion.

Effect of species and grinding disc distance on the surface roughness parameters of medium density fiberboard

2016 ◽  
Vol 75 (3) ◽  
pp. 335-346 ◽  
Author(s):  
Lidia Gurau ◽  
Nadir Ayrilmis ◽  
Jan Thore Benthien ◽  
Martin Ohlmeyer ◽  
Manja Kitek Kuzman ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Medium Density Fiberboard ◽  
Medium Density ◽  
Roughness Parameters ◽  
Surface Roughness Parameters
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