Process optimization for enhanced tribological properties of Al/MWCNT composites produced by powder metallurgy using artificial neural networks

2021 ◽  
Author(s):  
Turker Turkoglu ◽  
Sare Celik
Keyword(s):  
Powder Mixture ◽  
Pure Aluminum ◽  
Microstructural Analysis ◽  
Wear Test ◽  
Structural Defects ◽  
Wear Loss ◽  
Ann Model ◽  
Wear Properties ◽  
The Matrix ◽  
Artificial Neural

Abstract In order to eliminate the agglomeration problem of reinforcement in the nanocomposite, a two-step dispersion process was employed. Under ultra-sonication and ball milling, 1 wt.% of multi-walled carbon nanotubes (MWCNTs) were properly dispersed in pure aluminum (Al) (used as the matrix phase). The composite powder mixture was then consolidated in an inert Ar gas atmosphere by hot pressing under certain fabrication parameters. The powder mixture was characterized by Raman Spectroscopy, and it was found that MWCNTs did not cause structural defects in the pre-production process. The microstructural analysis of the sintered composites by scanning electron microscope (SEM) and energy-dispersive x-ray spectroscopy (EDS), revealed that the reinforcement was uniformly distributed in the matrix. Wear test results indicated that the wear resistance of the composites increased with increase of MWCNT reinforcement, and the wear mechanism was determined to be a mixing type by examining the wear traces by SEM. In order to determine the effects of different process parameters on wear loss, a multilayer perceptron (MLP) based artificial neural network (ANN) was used, and experimental and predicted values were compared. It was noticed that the MLP based ANN model effectively evaluated the wear properties of the Al/MWCNT composites.

scholarly journals Microstructural analysis of Al6063/sic with calcium additives for hardness enhancement

2018 ◽  
Vol 225 ◽  
pp. 03007
Author(s):  
Balaji Bakthavatchalam ◽  
Khairul Habib ◽  
Namdev Patil ◽  
Omar A Hussein
Keyword(s):  
Mechanical Properties ◽  
Silicon Carbide ◽  
Matrix Material ◽  
Microstructural Analysis ◽  
Wear Loss ◽  
Alloying Element ◽  
Silicon Phase ◽  
High Durability ◽  
The Matrix ◽  
Al6063 Alloy

Microstructural Analysis plays an important role in enhancing the mechanical properties of metals and composites. Usually Aluminium Silicon Carbide (Al6063/SiC) alloys are mixed with strontium, sodium and antimony for high durability even though they are toxic and costly. As an alternative calcium is used as an alloying element to improve the mechanical property of Al6063/Sic alloy. In this paper Al6063 is chosen as the matrix material while Sic is used as a reinforcement where calcium powder is added to modify the silicon phase of the composite. Finally, concentration of Silicon carbide is varied from 0 to 150 mg to produce four specimens of Al6063 alloy and it is subjected to microstructure analysis which showed the reduction of grain size and therefore improvement in the hardness from 52.9 HV to 58.4 HV and decrease in the wear loss from 3.97 to 3.27 percentage.

Microstructure and Wear Properties of In Situ TiC-Cr7C3/Fe Surface Composite

2011 ◽  
Vol 415-417 ◽  
pp. 170-173
Author(s):  
Jing Wang ◽  
Si Jing Fu ◽  
Yi Chao Ding ◽  
Yi San Wang
Keyword(s):  
Sliding Wear ◽  
Wear Behavior ◽  
Wear Test ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Test Machine ◽  
Wear Properties ◽  
Surface Composite ◽  
The Matrix

A wear resistant TiC-Cr7C3/Fe surface composite was produced by cast technique and in-situ synthesis technique. The microstructure and dry-sliding wear behavior of the surface composite was investigated using scanning electron microscope(SEM), X-ray diffraction(XRD) and MM-200 wear test machine. The results show that the surface composite consists of TiC and Cr7C3as the reinforcing phase, α-Fe and γ-Fe as the matrix. The surface composite has excellent wear-resistance under dry-sliding wear test condition with heavy loads.

Friction and Wear Properties of Ti-6Al-4V Surface Modified by Nitriding-Mo Plating-Sulfurizing Composite Treatment

2010 ◽  
Vol 139-141 ◽  
pp. 439-442
Author(s):  
Li Jie Wang ◽  
Jun Sheng Yang ◽  
Ya Zhe Xing
Keyword(s):  
Friction And Wear ◽  
Composite Layer ◽  
Wear Test ◽  
Xrd Analysis ◽  
Wear Loss ◽  
Treatment Technique ◽  
Ion Nitriding ◽  
Wear Properties ◽  
Cross Sectional ◽  
Friction And Wear Properties

A composite layer was prepared on the Ti-6Al-4V alloy surface by ion nitriding, magnetron sputtering Mo and ion sulfurizing composite treatment technique. The phase structure, morphology, and cross-sectional element distribution of composite layer were analyzed. Friction and wear properties of composite layer were tested by MM-200 laboratory tester. XRD analysis showed that the composite layer was mainly comprised of Ti, Mo, MoS2, TiN, and transition layer. This composite layer is perfect wear-resistant surface due to existence of self-lubricating MoS2 on hard Mo and TiN layers with good anti-friction ability. Thereby, the results of friction and wear test showed that anti-wear performance of Ti-6Al-4V alloy after composite treatment was remarkably improved under dry and sliding conditions. Both the friction coefficient and the wear loss of the nitriding-Mo plating-sulfurizing layers were lower than that of the nitriding layer due to the formation of the MoS2 layer on Mo and TiN layers.

The Effect of Boron on the Sliding Wear Behavior of Iron-Based Hardfacing Alloys for Nuclear Power Plants Valves

2006 ◽  
Vol 510-511 ◽  
pp. 562-565
Author(s):  
Jeng Wan Yoo ◽  
Kwon Yeong Lee ◽  
Ji Hui Kim ◽  
Ki Soo Kim ◽  
Seon Jin Kim
Keyword(s):  
Wear Resistance ◽  
Martensitic Transformation ◽  
Nuclear Power ◽  
Sliding Wear ◽  
Power Plants ◽  
Wear Behavior ◽  
Wear Test ◽  
Wear Loss ◽  
The Matrix ◽  
Iron Based

A new iron-based wear resistance alloy was developed to replace the Co-containing Stellite 6 alloys in nuclear power industry. The effect of B addition on the wear resistance was investigated. Sliding wear tests of Fe-Cr-C-Si-xB (x = 0.0, 0.3, 0.6, 1.0 and 2.0 wt%) alloys were performed in air at the room temperature under a contact stress of 103 MPa. Low-boron alloys containing less than 0.6 wt% boron showed an excellent wear resistance than any other tested alloys. The improvement was associated with the matrix hardening by promotion of the γ→α′straininduced martensitic transformation occurring during the wear test. However, the alloys containing more than 1.0 wt% boron showed slightly increased wear loss compared to the low-boron alloys because of the absence of the strain-induced martensitic transformation and the presence of the brittle FeB particles, aiding crack initiation.

scholarly journals Experimental Investigation and Prediction of Tribological Properties of Titanium Carbide and Multiwalled Carbon Nanotubes Reinforced Aluminium Composites using Artificial Neural Network

2018 ◽  
Vol 3 (8) ◽  
pp. 40
Author(s):  
Mohamed Zakaulla ◽  
Anteneh Mohammed Tahir ◽  
Seid Endro ◽  
Shemelis Nesibu Wodaeneh ◽  
Lulseged Belay
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Coefficient Of Friction ◽  
Tribological Properties ◽  
Friction And Wear ◽  
Back Propagation ◽  
Wear Loss ◽  
Ann Model ◽  
Multiwalled Carbon ◽  
Artificial Neural

In this study, the tribological properties of TiC particle and MWCNTs reinforced aluminium (Al7475) hybrid composite synthesized by stir casting method were investigated by experimental and artificial neural network (ANN) model. Al7475 metal matrix composites was produced with different wt% of TiC and MWCNTs. The composite samples were tested at 0.42 ms- 1, 0.84 ms- 1 and 1.68 ms- 1 under three different loads  (10N, 20N and 40N). The results indicated that Al7475+10%TiC+2%MWCNTs composite exhibit lower wear rate and reduced coefficient of friction in compare to other samples. TiC percent, MWCNTs percent, applied weight, sliding speed and Time were used as input values for the theoretical prediction model of the composite. coefficient of friction and Wear loss were the two outputs developed from proposed network. Back propagation neural network with 5 – 6 – 2 architecture that uses Levenberg –Marquardt training algorithm is used to predict the coefficient of friction and wear loss. After comparing experimental and ANNs predicted results it was noted that R2 was 0.992 for wear loss and 0.980 for coefficient of friction. This indicated that developed predicted model has a high state of reliability.

Investigation on microstructures, mechanical and wear properties of Al 390/ZrO2 composite materials fabricated by P/M method

2020 ◽  
Vol 17 (1) ◽  
pp. 149-166
Author(s):  
Karthikeyan S ◽  
Karunanithi R ◽  
Ashoke Ghosh
Keyword(s):  
Wear Resistance ◽  
Wear Test ◽  
Matrix Alloy ◽  
Sem Analysis ◽  
High Wear Resistance ◽  
Wear Properties ◽  
Content Type ◽  
The Matrix ◽  
Pin On Disc ◽  
A390 Alloy

PurposeAluminium is the most proficiently and commonly used metal due to its desirable physical, chemical and mechanical properties. When Aluminium reinforced with hard ceramic particles, shows increased strength and good corrosion resistant and wear resistant qualities. In the present investigation, A390 + X vol. % Zro2 (X = 5, 10 and 15) composites have been fabricated through P/M technique.Design/methodology/approachAfter that the microstructural properties are tested by scanning electron microscope (SEM) analysis wear test is performed using pin-on-disc machine.FindingsThe wear conditions of applied load 30N and sliding velocity 1 m/s and track distance 1000m was followed. A390 + 15% Zro2 of surface of the composites unveiled greater hardness when compared with A390 alloy.Originality/valueA390 + 15% Zro2 exhibited superior wear resistance than that of the matrix alloy. Thus the material proves as an excellent solution for applications that requires high wear resistance.

Wear of Spiral Seal Cone Bit in Complex Formations

SPE Journal ◽  
2021 ◽  
pp. 1-16
Author(s):  
Y. Zhou ◽  
J. H. Hu ◽  
B. Tan ◽  
Y. Jiang ◽  
Y. F. Tang
Keyword(s):  
Friction Coefficient ◽  
Working Conditions ◽  
Wear Mechanism ◽  
Testing Machine ◽  
Wear Test ◽  
Simulation Method ◽  
Wear Testing ◽  
Wear Loss ◽  
Wear Depth ◽  
Wear Properties

Summary Sealing is a technical bottleneck that affects drilling efficiency and cost in deep, difficult-to-drill formations. The spiral combination seal with active sand removal performance is a new type of seal, and the wear mechanism is not clear, resulting in no effective design. In this study, the wear properties of materials were measured by a friction-and-wear testing machine, and the measurement methods and criteria of wear loss and friction coefficient were established. The fitting function of working condition and friction coefficient was studied by fitting regression method. The law of influence of working conditions on friction coefficient and wear amount was determined. The actual wear model and evaluation criteria of wear condition were established by using wear test data and geometric relationship. The relationship among working conditions, contact stress, and wear depth is determined by numerical simulation method, and the wear mechanism of the new seal is revealed, which provides a theoretical basis for its application.

Optimization of working parameters on wear behaviour of the sinter-forged plain carbon steel

2015 ◽  
Vol 231 (8) ◽  
pp. 1379-1388
Author(s):  
TK Kandavel ◽  
R Sravanesh ◽  
P Karthikeyan
Keyword(s):  
Powder Metallurgy ◽  
Carbon Steel ◽  
Compressive Load ◽  
Wear Test ◽  
Plain Carbon Steel ◽  
Wear Behaviour ◽  
Wear Loss ◽  
Wear Properties ◽  
Industrial Sectors ◽  
Working Parameters

Powder metallurgy plain carbon steel (Fe–0.5% C) replaces gradually the conventional C45 steel in all industrial sectors due to its comparable strength and better metallurgical properties. This research investigates the influence of density/porosity of powder metallurgy plain carbon steel on wear characteristics and optimizes the wear working parameters to establish minimum wear loss and coefficient of friction during wear using Taguchi-grey relational optimization analysis. The sintered steel preforms were subjected to uni-axial compressive load (cold upset) to obtain various percentage theoretical densities. The wear test specimens made out of various densities of the sinter-forged plain carbon steel were used to conduct wear tests as per the test plan generated by the Design Expert software. The optical and scanning electron microscope images taken from the worn test specimens were used for the investigations of wear mechanisms of the alloy steel. It is observed from the wear test results that the porosity in the powder metallurgy plain carbon steel has a vital role in wear properties of the steel. It has also been found that the optimized working parameters such as speed and load are found as same irrespective of the densities of the plain carbon steel.

Effect of Lubricant Darkening on Wear Properties of White Metal Bearing in 2-Stroke Marine Diesel Engine

2005 ◽  
Author(s):  
Yong-Hee Ahn ◽  
Dae-Young Kim ◽  
Eun-Cheol Kim
Keyword(s):  
Diesel Engine ◽  
Wear Test ◽  
Test Time ◽  
Wear Loss ◽  
Marine Diesel Engine ◽  
Wear Properties ◽  
White Metal ◽  
Marine Diesel ◽  
Friction And Wear Characteristics ◽  
Main Factor

Effect of lubricant darkening on tribology characteristics of the tin-based white metal bearing in the 2-stroke marine diesel engine has been investigated. Through a reciprocating wear test, friction and wear characteristics were evaluated as a function of lubricant darkening. The darkness of the lubricant increased with wear test time even under the condition of less possibility of soot contamination. The principal cause responsible for darkening was found to be the very fine tin particles dispersed in the lubricant. The formation of these particles is attributed to the wear of the bearing. However the wear loss of the bearing metal obtained from the wear test with the darkened lubricant was similar to that with the initial clean lubricant. This means that the lubricant darkening is not a main factor responsible for the degradation of white-metal bearing durability.

Research on the Friction and Wear Test between Dental Prosthetic Materials and Natural Teeth

2013 ◽  
Vol 718-720 ◽  
pp. 1451-1455
Author(s):  
Hong Jie Liu ◽  
Kan Zheng ◽  
Xing Zhi Xiao
Keyword(s):  
Titanium Alloy ◽  
Friction And Wear ◽  
Artificial Saliva ◽  
Wear Test ◽  
Zirconia Ceramic ◽  
Wear Loss ◽  
Test Machine ◽  
Wear Properties ◽  
Prosthetic Materials ◽  
Natural Teeth

To study the effects of different oral environment factors on the friction and wear properties between dental prosthetic materials and natural teeth, several comparing experiments were implemented by using a reciprocating friction and wear test machine containing an artificial saliva solution. Three kinds of factors including load, frequency and cycles were investigated on titanium alloy TC4 and zirconia ceramic. The experimental results showed that zirconia ceramic has a better wear resistance and a lower friction. The wear loss of titanium alloy TC4 was 10 times of that of zirconia ceramic under same conditions. A significant positive correlation between three factors and wear loss was also discovered.

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