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Lubricants, Volume 10, Issue 2

2022 February - 18 articles

Cover Story: The use of machine learning was investigated to improve the design of amorphous carbon coatings. By using Gaussian process regression (GPR) models, a visualization of the process map of the available layer designs is created. Thus, training of the models was based on the experimental results of a centrally assembled full-factorial experimental design for the deposition of a-C:H coatings on medical-grade UHMWPE. Furthermore, the developed GPR models were compared with various supervised machine learning models, such as polynomial regression, support vector machines, and neural networks, to predict carbon coatings. The prediction performance of the models was evaluated using another experimental design by comparing predicted and experimentally determined characteristics. View this paper.
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Articles (18)

  • Article
  • Open Access
7 Citations
3,246 Views
17 Pages

20 February 2022

The bilinear hysteresis friction model and the Coulomb friction model are two typical macro slip models which are widely used by researchers in simulation analysis of rub-impact dynamics of shrouded blades. However, differences in the simulation resu...

  • Article
  • Open Access
13 Citations
4,080 Views
13 Pages

18 February 2022

Bearings are the supporting elements of bridges. They perceive vertical and horizontal loads from the bridge span. Spherical bearings are one of the construction common types. The material and configuration of the anti-friction layers determine the b...

  • Article
  • Open Access
35 Citations
6,193 Views
18 Pages

Impact of Graphene Nano-Additives to Lithium Grease on the Dynamic and Tribological Behavior of Rolling Bearings

  • Mohamed G. A. Nassef,
  • Mina Soliman,
  • Belal Galal Nassef,
  • Mohamed A. Daha and
  • Galal A. Nassef

18 February 2022

In recent years, reduced graphene oxide (rGO) received considerable interest as a lubricant nano-additive for enhancing sliding and rolling contacts. This paper investigates the tribological and dynamic behavior of ball bearings lubricated by lithium...

  • Article
  • Open Access
25 Citations
4,006 Views
16 Pages

Tribological Properties of the Nanoscale Spherical Y2O3 Particles as Lubricant Additives in Automotive Application

  • Álmos D. Tóth,
  • Ádám I. Szabó,
  • Máté Zs. Leskó,
  • Jan Rohde-Brandenburger and
  • Rajmund Kuti

18 February 2022

The continuous tribological development of engine lubricants is becoming more and more vital due to its fuel efficiency improvement and lifetime increasing potential. The antiwear additives play a high role in the lubricants to protect the contacting...

  • Article
  • Open Access
14 Citations
3,368 Views
18 Pages

15 February 2022

This study compares the effect of the addition of two types of lubricants on the dry sliding behavior of a simplified Cu-free phenolic resin-based composite material. The lubricants were commercial graphite and exfoliated graphitic carbon nitride (co...

  • Article
  • Open Access
1 Citations
4,407 Views
19 Pages

Friction Issues over the Railway Wheels-Axis Assembly Motion

  • Bogdan Derbiszewski,
  • Andrzej Obraniak,
  • Marek Wozniak,
  • Adam Rylski,
  • Krzysztof Siczek and
  • Przemyslaw Kubiak

12 February 2022

The frictional issues during motion of the axis-wheels assembly occurring in contact wheel–rail and in bogie bearing were studied. The influence of greases upon friction therein was also considered. The lateral dynamic behavior of the four-axle...

  • Article
  • Open Access
10 Citations
5,776 Views
23 Pages

Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing

  • Sebastian Schwarz,
  • Hannes Grillenberger,
  • Oliver Graf-Goller,
  • Marcel Bartz,
  • Stephan Tremmel and
  • Sandro Wartzack

11 February 2022

Rolling bearings have to meet the highest requirements in terms of guidance accuracy, energy efficiency, and dynamics. An important factor influencing these performance criteria is the cage, which has different effects on the bearing dynamics dependi...

  • Article
  • Open Access
16 Citations
4,153 Views
12 Pages

A Study on Early Stages of White Etching Crack Formation under Full Lubrication Conditions

  • Walter Holweger,
  • Alexander Schwedt,
  • Viktorija Rumpf,
  • Joachim Mayer,
  • Christof Bohnert,
  • Jürgen Wranik,
  • Joshua Spille and
  • Ling Wang

The appearance of White Etching Cracks (WEC), not covered by the ISO 281 modified failure rate calculation, leads to difficulties in predicting bearing reliability. This uncertainty in bearing applications leads to a worldwide activity in order to un...

  • Article
  • Open Access
30 Citations
5,857 Views
17 Pages

Weight Loss, Thermodynamics, SEM, and Electrochemical Studies on N-2-Methylbenzylidene-4-antipyrineamine as an Inhibitor for Mild Steel Corrosion in Hydrochloric Acid

  • Israa Abd Alkadir Aziz,
  • Makarim H. Abdulkareem,
  • Iman Adnan Annon,
  • Mahdi M. Hanoon,
  • Mohammed H. H. Al-Kaabi,
  • Lina M. Shaker,
  • Ahmed A. Alamiery,
  • Wan Nor Roslam Wan Isahak and
  • Mohd S. Takriff

The use of N-2-methylbenzylidene-4-antipyrineamine as an acid corrosion inhibitor for mild steel surfaces in hydrochloric acid is discussed in this article by means of weight loss, electrochemical impedance spectroscopy (EIS), and scanning electron m...

  • Article
  • Open Access
14 Citations
5,542 Views
15 Pages

Design of Amorphous Carbon Coatings Using Gaussian Processes and Advanced Data Visualization

  • Christopher Sauer,
  • Benedict Rothammer,
  • Nicolai Pottin,
  • Marcel Bartz,
  • Benjamin Schleich and
  • Sandro Wartzack

In recent years, an increasing number of machine learning applications in tribology and coating design have been reported. Motivated by this, this contribution highlights the use of Gaussian processes for the prediction of the resulting coating chara...

  • Article
  • Open Access
19 Citations
4,559 Views
18 Pages

In recent years, the development of deep learning-based remaining useful life (RUL) prediction methods of bearings has flourished because of their high accuracy, easy implementation, and lack of reliance on a priori knowledge. However, there are two...

  • Article
  • Open Access
11 Citations
5,514 Views
18 Pages

Tribologists have generally accepted that the dynamic modeling of tilting-pad journal bearings (TPJB) must consider the frequency dependency of the dynamic properties. Industrial compressors, turbines, and other rotating machines are subjected to ins...

  • Article
  • Open Access
8 Citations
5,564 Views
25 Pages

A Semantic Annotation Pipeline towards the Generation of Knowledge Graphs in Tribology

  • Patricia Kügler,
  • Max Marian,
  • Rene Dorsch,
  • Benjamin Schleich and
  • Sandro Wartzack

Within the domain of tribology, enterprises and research institutions are constantly working on new concepts, materials, lubricants, or surface technologies for a wide range of applications. This is also reflected in the continuously growing number o...

  • Article
  • Open Access
11 Citations
4,197 Views
16 Pages

As it is widely employed in the aeronautical transmission system, a better understanding of the oil jet lubrication behavior is vital to determine the total system energy consumption. Firstly, this study presents related theoretical models such as th...

  • Article
  • Open Access
9 Citations
3,279 Views
18 Pages

Analysis of the Physicochemical Properties of Some Selected Non-Edible Vegetable Oil-Based Cutting Fluids Using the Design of Experiment (DOE) Approach

  • Rasaq A. Kazeem,
  • David A. Fadare,
  • Omolayo M. Ikumapayi,
  • Stephen A. Akinlabi,
  • Sunday A. Afolalu and
  • Esther T. Akinlabi

The pursuit of environmentally friendly cutting fluids is ongoing as the problems of traditional cutting fluids become more apparent. The bulk of vegetable oils used in studies are consumable and, if marketed, may conflict with human utilization, mak...

  • Article
  • Open Access
4 Citations
3,088 Views
10 Pages

When liquids are confined into a nanometer-scale slit, the induced layering-like film structure allows the liquid to sustain non-isotropic stresses and thus be load-bearing. Such anisotropic characteristics of liquid under confinement arise naturally...

  • Review
  • Open Access
24 Citations
8,503 Views
19 Pages

Friction Challenge in Hydraulic Fracturing

  • Yanbao Guo,
  • Min Zhang,
  • Hui Yang,
  • Deguo Wang,
  • Melvin A. Ramos,
  • Travis Shihao Hu and
  • Quan Xu

Hydraulic fracturing has become one of the most popular techniques for exploring sustainable energy sources. However, friction is associated with the entire fracturing process, presenting significant challenges for development. Facing the huge fricti...

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Lubricants - ISSN 2075-4442