scholarly journals Nano and micro structures produced from carbon rich fly ash as effective lubricant additives for 150SN base oil

2019 ◽  
Vol 8 (1) ◽  
pp. 250-258 ◽  
Author(s):  
Numan Salah ◽  
Ahmed Alshahrie ◽  
Najlaa D. Alharbi ◽  
M. Sh. Abdel-wahab ◽  
Zishan H. Khan
Keyword(s):  
Fly Ash ◽  
Lubricant Additives ◽  
Base Oil ◽  
Effective Lubricant ◽  
Micro Structures

Carbon nanotubes of oil fly ash integrated with ultrathin CuO nanosheets as effective lubricant additives

2017 ◽  
Vol 78 ◽  
pp. 97-104 ◽  
Author(s):  
Numan Salah ◽  
Ahmed Alshahrie ◽  
M.Sh. Abdel-wahab ◽  
Najlaa D. Alharbi ◽  
Zishan H. Khan
Keyword(s):  
Carbon Nanotubes ◽  
Fly Ash ◽  
Lubricant Additives ◽  
Effective Lubricant ◽  
Cuo Nanosheets ◽  
Oil Fly Ash

scholarly journals Carbon nanotubes of oil fly ash as lubricant additives for different base oils and their tribology performance

RSC Advances ◽  
2017 ◽  
Vol 7 (64) ◽  
pp. 40295-40302 ◽  
Author(s):  
Numan Salah ◽  
M. Sh. Abdel-wahab ◽  
Ahmed Alshahrie ◽  
Najlaa D. Alharbi ◽  
Zishan H. Khan
Keyword(s):  
Carbon Nanotubes ◽  
Fly Ash ◽  
Lubricant Additives ◽  
Base Oil ◽  
Base Oils ◽  
Oil Fly Ash ◽  
Tribology Performance

CNTs of oil fly ash were found to be suitable as lubricant additives for Aramco base oil.

scholarly journals Preparation of TiO2/Ti3C2Tx hybrid nanocomposites and their tribological properties as base oil lubricant additives

RSC Advances ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. 4312-4319 ◽  
Author(s):  
Maoquan Xue ◽  
Zhiping Wang ◽  
Feng Yuan ◽  
Xianghua Zhang ◽  
Wei Wei ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Tribological Properties ◽  
Lubricant Additives ◽  
Hybrid Nanocomposites ◽  
Phase Synthesis ◽  
Base Oil

TiO2/Ti3C2Tx hybrid nanocomposites were successfully prepared by a liquid phase synthesis technology. The hybrid nanocomposites improve the tribological properties of base oil by mending the surface and formation a uniform tribofilm on the surface.

Tribological properties of nano cellulose fatty acid esters as ecofriendly and effective lubricant additives

Cellulose ◽  
2018 ◽  
Vol 25 (5) ◽  
pp. 3091-3103 ◽  
Author(s):  
Yanjuan Zhang ◽  
Liping Wei ◽  
Huayu Hu ◽  
Zengyan Zhao ◽  
Zuqiang Huang ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Tribological Properties ◽  
Lubricant Additives ◽  
Fatty Acid Esters ◽  
Nano Cellulose ◽  
Effective Lubricant ◽  
Acid Esters

BPNN–QSTR Modeling to Develop Isosteres as Sulfur-Free, Anti-Wear Lubricant Additives

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Xinlei Gao ◽  
Zhan Wang ◽  
Tingting Wang ◽  
Ze Song ◽  
Kang Dai ◽  
...  
Keyword(s):  
Energy Dispersive Spectrometer ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lubricant Additives ◽  
Thiazole Ring ◽  
Wear Performance ◽  
Base Oil ◽  
Wide Range ◽  
Electron Microscope Analysis ◽  
Branched Chain

The principle of isosterism was employed to design low- or zero-sulfur anti-wear lubricant additives. Thiobenzothiazole compounds and 2-benzothiazole-S-carboxylic acid esters were employed as templates. Sulfur in the thiazole ring or in the branched chain was exchanged with oxygen, CH2, or an NH group. Similarly, the template's benzimidazole ring was replaced with a quinazolinone group. Quantitative structure tribo-ability relationship (QSTR) models by back propagation neural network (BPNN) method were used to study correlations between additive structures and their anti-wear performance. The features of rubbing pairs with different additives were identified by energy dispersive spectrometer-scanning electron microscope analysis. A wide range of samples showed that sulfur substitution in additive molecules was found to be reasonable and feasible. Combined effects of the anti-wear additive and the base oil were able to improve anti-wear performance.

scholarly journals Tribological properties of novel palygorskite nanoplatelets used as oil-based lubricant additives

Friction ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 332-343 ◽  
Author(s):  
Kunpeng Wang ◽  
Huaichao Wu ◽  
Hongdong Wang ◽  
Yuhong Liu ◽  
Lv Yang ◽  
...  
Keyword(s):  
Tribological Properties ◽  
Magnesium Silicate ◽  
Treatment Method ◽  
Lubricant Additives ◽  
Wear Volume ◽  
Wear Scar Diameter ◽  
Tribochemical Reaction ◽  
Base Oil ◽  
Transmission Electron ◽  
Ball Surface

AbstractLayered palygorskite (PAL), commonly called attapulgite, is a natural inorganic clay mineral composed of magnesium silicate. In this study, an aqueous miscible organic solvent treatment method is adopted to prepare molybdenum-dotted palygorskite (Amo-PMo) nanoplatelets, which greatly improved the specific surface area of PAL and the dispersion effect in an oil-based lubricant system. Their layered structure and size were confirmed using transmission electron microscopy (TEM) and atomic force microscopy. Following a tribological test lubricated with three additives (PAL, organic molybdenum (SN-Mo), and Amo-PMo), it was found that the sample of 0.5 wt% Amo-PMo exhibited the best tribological properties with a coefficient of friction of 0.09. Moreover, the resulting wear scar diameter and wear volume of the sliding ball surface were 63% and 49.6% of those lubricated with base oil, respectively. Its excellent lubricating performance and self-repairing ability were mainly attributed to the generated MoS2 adsorbed on the contact surfaces during the tribochemical reaction, thereby effectively preventing the direct collision between asperities on sliding solid surfaces. Thus, as-prepared Amo-PMo nanoplatelets show great potential as oil-based lubricant additives, and this study enriches the existing application of PAL in industry.

Prediction of the maximum nonseizure load of lubricant additives

2017 ◽  
Vol 16 (02) ◽  
pp. 1750014 ◽  
Author(s):  
Xinliang Yu ◽  
Rimeng Zhan ◽  
Jiyong Deng ◽  
Xianwei Huang
Keyword(s):  
Lubricant Additives ◽  
Structure Property ◽  
Ann Model ◽  
Training Set ◽  
Qspr Model ◽  
Test Set ◽  
Base Oil ◽  
Chemical Structures ◽  
Artificial Neural Network Ann ◽  
Backward Propagation

Lubricating additives can improve the lubricant performance of base oil in reducing friction and wear and minimizing loss of energy. It is of great significance to study the relationship between chemical structures and lubrication properties of lubricant additives. This paper reports a quantitative structure–property relationship (QSPR) model of the maximum nonseizure loads ([Formula: see text]) of 79 lubricant additives by applying artificial neural network (ANN) based on the algorithm of backward propagation of errors. Six molecular descriptors appearing in the multiple linear regression (MLR) model were used as vectors to develop the ANN model. The optimal condition of ANN with network structure of [6-4-1] was obtained by adjusting various parameters by trial-and-error. The root-mean-square (rms) errors from ANN model are [Formula: see text] ([Formula: see text]) for the training set and [Formula: see text] ([Formula: see text]) for the test set, which are superior to the MLR results of [Formula: see text] ([Formula: see text]) for the training set and [Formula: see text] ([Formula: see text]) for the test set. Compared to the existing model for [Formula: see text], our model has better statistical quality. The results indicate that our ANN model can be applied to predict the [Formula: see text] values for lubricant additives.

Preparation and tribological properties of the N-containing heterocyclic borate esters and Cu microparticles as lubricant additives in base oil

2017 ◽  
Vol 29 (6) ◽  
pp. 395-409 ◽  
Author(s):  
Mengnan Qu ◽  
Yali Yao ◽  
Jinmei He ◽  
Xuerui Ma ◽  
Shanshan Liu ◽  
...  
Keyword(s):  
Tribological Properties ◽  
Lubricant Additives ◽  
Base Oil ◽  
Borate Esters

Addition of low concentrations of an ionic liquid to a base oil reduces friction over multiple length scales: a combined nano- and macrotribology investigation

2016 ◽  
Vol 18 (9) ◽  
pp. 6541-6547 ◽  
Author(s):  
Hua Li ◽  
Anthony E. Somers ◽  
Patrick C. Howlett ◽  
Mark W. Rutland ◽  
Maria Forsyth ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Lubricant Additives ◽  
Length Scales ◽  
Base Oil ◽  
Model Base ◽  
Multiple Length Scales ◽  
Low Concentrations

The efficacy of ionic liquids (ILs) as lubricant additives to a model base oil has been probed at the nanoscale and macroscale as a function of IL concentration using the same materials.

Lubricant Additives Based on Carbon Nanotubes Produced from Carbon-Rich Fly Ash

2016 ◽  
Vol 60 (1) ◽  
pp. 166-175 ◽  
Author(s):  
Numan Salah ◽  
M. Sh. Abdel-wahab ◽  
Sami S. Habib ◽  
Zishan H. Khan
Keyword(s):  
Carbon Nanotubes ◽  
Fly Ash ◽  
Lubricant Additives
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