scholarly journals Effect of Fiber Content on Abrasive Wear Behavior of Date Palm Leaf Reinforced Polyvinyl Pyrrolidone Composite

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jyoti R. Mohanty ◽  
Sankar N. Das ◽  
Harish C. Das
Keyword(s):  
Date Palm ◽  
Wear Behavior ◽  
Normal Load ◽  
Testing Machine ◽  
Fiber Content ◽  
Polyvinyl Pyrrolidone ◽  
Wear Testing ◽  
Dry Sliding Wear ◽  
Wear Loss ◽  
Palm Leaf

The effect of fiber contents on wear behavior of date palm leaf reinforced polyvinyl pyrrolidone (PVP/DPL) composites has been experimentally investigated. The test samples with fillers in 10, 20, 30, and 40% based on weight of fibers were prepared using injection molding. The optimum fiber content (i.e., 26 wt%) for maximum mechanical strength of the composites was determined by regression analysis. The dry sliding wear tests were conducted for each composition at different sliding velocities (0.392, 0.471, and 0.549 m/s) and sliding distances (188, 254, and 376 m) by applying normal loads of 5, 10, 15, and 20 N using pin-on-disc wear testing machine. The specific wear rate, wear loss, and coefficient of friction were plotted against the normal load and sliding distance at all sliding velocities. The results reveal that incorporation of date palm leaf fibers leads to significant improvement in the wear resistance of composites up to optimum fiber content and then decreases as fiber content increases. Further, it is found that surface modification has significant effect on wear performance. Worn surfaces of some selected samples were studied by scanning electron microscopy to analyze the wear mechanism.

Dry Sliding Wear Behavior of Graphite Particulate Reinforced Al6061 Alloy Composite Materials

2014 ◽  
Vol 592-594 ◽  
pp. 170-174 ◽  
Author(s):  
Madeva Nagaral ◽  
V. Auradi ◽  
S.A. Kori
Keyword(s):  
Sliding Wear ◽  
Wear Behavior ◽  
Testing Machine ◽  
Matrix Alloy ◽  
Wear Testing ◽  
Dry Sliding Wear ◽  
Wear Volume ◽  
Wear Loss ◽  
Volumetric Wear ◽  
Al6061 Alloy

This present paper is an investigation made to study the un-lubricated sliding wear behavior of Al6061 alloy composites reinforced with graphite particulates of size 100-125 μm. The content of graphite in the alloy was varied from 6-9% in steps of 3 wt. %. The liquid metallurgy technique was used to fabricate the composites. A pin-on-disc wear testing machine was used to evaluate the volumetric wear loss, in which a hardened EN32 steel disc was used as the counter face. The results indicated that the volumetric wear loss of the composites was lesser than that of the Al6061 matrix alloy and it further decreased with the increase in graphite content up-to 6 wt.%. For composites containing 9 wt. % of graphite particulates, the volumetric wear loss was more than that of 6wt. % composites, but lesser than base matrix alloy. However, the material loss in terms of wear volume increased with the increase in load and sliding speed, both in case of composites and the alloy.

Influence of Liquid Paraffins in Crude Oil on the Friction and Wear Behaviors of the Progressing Cavity Pump`s Stator Rubber

2013 ◽  
Vol 300-301 ◽  
pp. 833-836
Author(s):  
Shi Jie Wang ◽  
Hao Lin ◽  
Xiao Ren Lv
Keyword(s):  
Crude Oil ◽  
Friction And Wear ◽  
Wear Behavior ◽  
Liquid Paraffin ◽  
Testing Machine ◽  
Wear Testing ◽  
Wear Loss ◽  
Oil Well ◽  
Butadiene Rubber ◽  
Better Than

The progressing cavity pump (PCP) always works in the waxy oil well. Therefore the research on the influence of various liquid paraffin contents in crude oil on the friction and wear behaviors of the progressing cavity pump`s stator is very important for choosing the best stator rubber and developing the service life of PCP. Wear behavior of nitrile butadiene rubber (NBR) and fluororubber (FKM) was investigated at room temperature using a reciprocating friction and wear testing machine under the various paraffin contents in crude oil (0%、10%、30%、50%、100%). The wear morphology of blend was analyzed through the stereomicroscope and the wear behavior of two blends was also discussed and compared. The results show that the wear resistance of FKM is better than that of NBR under the same paraffin content in crude oil; With the increase of the paraffin content, the wear and coefficient of friction also increase. When the paraffin content in crude oil is less than 30%, the wear loss of NBR and FKM are basically the same; When the paraffin content in crude oil is more than 30%, the wear loss of NBR is far more than that of FKM.

scholarly journals Differences in Dry Sliding Wear Behavior between Al–12Si–CuNiMg Alloy and Its Composite Reinforced with Al2O3 Fibers

Materials ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 1749 ◽  
Author(s):  
Qing Zhang ◽  
Jie Gu ◽  
Shuo Wei ◽  
Ming Qi
Keyword(s):  
Sliding Wear ◽  
Volume Fraction ◽  
Wear Behavior ◽  
Testing Machine ◽  
Matrix Alloy ◽  
Wear Testing ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
The Matrix ◽  
Pin On Disk

The dry sliding wear behavior of the Al-12Si-CuNiMg matrix alloy and its composite reinforced with Al2O3 fibers was investigated using a pin-on-disk wear-testing machine. The volume fraction of Al2O3 fibers in the composite was 17 vol.%. Wear tests are conducted under normal loads of 2.5, 5.0, and 7.5 N, and sliding velocities of 0.25, 0.50, and 1.0 m/s. Furthermore, the worn surfaces of the matrix alloy and the composite were examined using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). The results showed that the wear resistance of the composite was inferior to that of the matrix alloy, which could be attributed to the high content of reinforcement and casting porosities in the composite. Worn-surface analysis indicates that the dominant wear mechanisms of both materials were abrasive wear and adhesive wear under the present testing conditions.

Garnet and Al-flyash composite under dry sliding conditions

2017 ◽  
Vol 52 (17) ◽  
pp. 2281-2288 ◽  
Author(s):  
S Sivakumar ◽  
S Senthil Kumaran ◽  
M Uthayakumar ◽  
A Daniel Das
Keyword(s):  
Genetic Algorithm ◽  
Wear Rate ◽  
Process Parameters ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Testing Machine ◽  
Wear Testing ◽  
Wear Behaviour ◽  
Dry Sliding Wear ◽  
Dry Sliding

The dry sliding wear behaviour of LM 24 aluminum alloy composites reinforced with garnet particles was evaluated. Stir casting technique was used to fabricate the composites. A pin-on-disc wear-testing machine was used to evaluate the wear rate, in which an EN 24 steel disc was used as the counterface. Results indicated that the wear rates of the composites were lower than that of the matrix alloy and further decreased with the increase in garnet content. However, in both unreinforced and reinforced composites, the wear rate increased with the increase in load and the sliding speed. Increase in the applied load increased the wear severity by changing the wear mechanism from abrasion to particle cracking-induced delamination wear. It was found that with the increase in garnet content, the wear resistance increased monotonically. The observations have been explained using scanning electron microscopy analysis of the worn surfaces and the subsurface of the composites. In this work, the most influencing input and output parameters have been performed and the process parameters have been prioritized using genetic algorithm. Genetic algorithm is used to optimize the most influencing input as well as output process parameters. The practical significance of applying genetic algorithm to dry sliding wear behavior process has been validated by means of computing the deviation between predicted and experimentally obtained wear behavior of metal matrix composite.

Microstructure, Mechanical and Wear Properties Study of Vanadium Carbide Particles Reinforced Iron Matrix Composite

2012 ◽  
Vol 476-478 ◽  
pp. 686-690 ◽  
Author(s):  
Jing Wang ◽  
Si Jing Fu ◽  
Bing Hua Jiang ◽  
Yi San Wang
Keyword(s):  
Electron Microscope ◽  
Matrix Composite ◽  
Vanadium Carbide ◽  
Wear Behavior ◽  
Testing Machine ◽  
Wear Testing ◽  
Dry Sliding Wear ◽  
Wear Properties ◽  
Iron Matrix ◽  
Composite Hardness

This study dealt with the processing, microstructure and wear behavior of vanadium carbide reinforced iron matrix composite. Powder technology combined with in situ synthesis was used to successfully fabricate the composite. The microstructure of the composite was characterized by X-ray diffraction, scanning electron microscope and transmission electron microscope. The microstructural study reveals that the round VC particles are distributed uniformly in the iron matrix, the interface between the iron matrix and VC is clean, and no interface precipitates is found. Dry-sliding wear behavior of VC-Fe composite was tested using MM-200 wear testing machine. The results indicate that the composite has excellent wear resistance, and microploughing and grooving are the dominant wear mechanisms for the composite. Hardness and bend strength of the composite are 62HRC and 990.1MPa, respectively.

INVESTIGATION OF WEAR BEHAVIOR OF AS FORGED INCONEL 690 SUPER ALLOY USING ARTIFICIAL NEURAL NETWORKS

2019 ◽  
Vol 14 (3) ◽  
Author(s):  
Vaishak NL ◽  
Prashanth T ◽  
Suhas Suhas
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Orthogonal Array ◽  
Wear Behavior ◽  
Normal Load ◽  
Dry Sliding Wear ◽  
Wear Loss ◽  
Dry Sliding ◽  
Taguchi Design Of Experiments ◽  
Inconel 690

The present study aims to study the wear properties of as forged Inconel 690. The dry sliding wear behavior of as forged Inconel 690 is studied in accordance with ASTM standards G99 i.e. dry sliding on pin on disc wear test apparatus. Three wear parameters namely normal load, sliding distance and sliding velocity were considered in this study. The experiments for wear loss have been conducted as per Taguchi Design of experiments. An L27 Orthogonal array was employed for this purpose. The wear loss obtained for As Forged Inconel 690 is predicted by the Neural Network Toolbox of MATLAB R2015a using the Levenberg-Marquardt (trainlm) algorithm which trains the feed forward neural network having 3-6-1 (three input neurons, six hidden neurons in the single hidden layer and one output neuron). Experimental data sets from obtained from L27 Orthogonal array have been utilized to develop ANN. The results concluded that error for wear loss of As Forged Inconel 690 lies within 10% between experimental data and neural network prediction

Study on the Wear Behavior of Ultrafine Grained 304L Stainless Steel

2013 ◽  
Vol 829 ◽  
pp. 177-181 ◽  
Author(s):  
Reyhane Nafar Dehsorkhi ◽  
Soheil Sabooni ◽  
Fathallah Karimzadeh ◽  
Ahmad Rezaeian ◽  
Mohammad Hossein Enayati
Keyword(s):  
Stainless Steel ◽  
Wear Behavior ◽  
Normal Load ◽  
Coarse Grained ◽  
Dry Sliding Wear ◽  
Wear Loss ◽  
304L Stainless Steel ◽  
Ultrafine Grained ◽  
Average Grain Size ◽  
Wear Tests

An ultrafine grained 304L stainless steel with average grain size of 650±100 nm was produced by a combination of cold rolling and annealing. Wear behavior of the steel was examined by dry sliding wear tests under different loads. Different microstructural characterizations were conducted on the ultrafine grained structure after thermomechanical processing and wear tests. The results demonstrated that the steel had yield strength of 720 MPa and total elongation of 47%, which is almost twice higher than typical coarse grained strength. Also, wear tests results showed a good linear relation between the cumulative wear loss and distance in each normal load. Wear rate was about 0.024, 0.043 and 0.093 mg/m for normal loads of 10, 20 and 30N, respectively. Wear mechanism was also recognized as delamination (in the early stage) and mixture of delamination and abrasion in higher distances.

scholarly journals WEAR CHARACTERIZATION OF LM29 ALLOY WITH40 MICRON SIZED B4C REINFORCED METAL COMPOSITES

2021 ◽  
Vol 9 (11) ◽  
pp. 363-371
Author(s):  
G. Pathalinga Prasad ◽  
◽  
H.C. Chittappa ◽  
Madeva Nagaral ◽  
◽  
...  
Keyword(s):  
Normal Load ◽  
Testing Machine ◽  
Matrix Alloy ◽  
Stir Casting ◽  
Wear Testing ◽  
Wear Loss ◽  
Wear Properties ◽  
Alloy Matrix ◽  
Pin On Disc ◽  
B4c Particles

This paper deals with the fabrication and evaluation of wear properties by introducing40 micron size B4C particulates into LM29 alloy matrix. LM29 alloy based metal matrix composites were prepared by stir casting method. 3, 6 and 9 wt. % of 40 micron sized B4C particulates were added to the base matrix. For each composite, the reinforcement particles were pre-heated to a temperature of 600 degree Celsius and then dispersed in steps of two into the vortex of molten LM29 alloy to improve wettability. The Micostructural study was done by using Scanning Electron Microscope (SEM), which revealed the uniform distribution of B4C particles in matrix alloy, EDS analysis confirmed the presence of B4C particles in the LM29 alloy matrix.A pin-on-disc wear testing machine was used to evaluate the wear loss of prepared specimens, in which a hardened EN32 steel disc was used as the counter face. The results revealed that the wear loss was increased with increase in normal load and sliding speed for all the specimens. The results also indicated that the wear loss of the LM29-B4C composites were lesser than that of the LM29 matrix. The worn surfaces and wear debris were characterized by SEM microanalysis.

scholarly journals Influence of Artificial Aging on the Dry Sliding Wear Behavior of ADC12 Alloy-B4C-Rice Husk Ash Particulates Reinforced Hybrid Composites

2020 ◽  
Vol 9 (4) ◽  
pp. 1367-1372
Keyword(s):  
Wear Resistance ◽  
Rice Husk ◽  
Artificial Aging ◽  
Rice Husk Ash ◽  
Hybrid Composites ◽  
Wear Behavior ◽  
Testing Machine ◽  
Wear Testing ◽  
Wear Loss ◽  
Heat Treated

The influence of artificial aging on the wear behavior of ADC12 alloy reinforced with Boron carbide (B4C) and Rice Husk Ash (RHA) composites have been investigated. Hybrid composites with 5 wt. % of B4C fortification constant and variable quantity of rice husk ash particles in steps of 9 and 12 wt. % in the ADC12 alloy prepared by melt stir process. ADC12 aluminium alloy, ADC12 alloy-5 wt. % B4C-9 wt. % RHA and ADC12 alloy-5 wt. % B4C-12 wt. % RHA Samples were solutionized at a temperature of 525˚C for 1 h. Further, these solution heat treated samples were artificially aged at the temperature of 175˚C for 10 h. Microstructural characterization was carried out by using SEM and EDS. A pin-on-disc wear testing machine was utilized to assess the wear loss of specimens, in which a solidified EN32 steel plate was utilized as the counter face. Wear tests were accompanied on ADC12 alloy, ADC12 alloy-5 wt. % B4C-9 wt. % RHA and ADC12 alloy-5 wt. % B4C-12 wt. % RHA hybrid composites at varying loads of 10 N, 20 N and 30 N with varying sliding distances of 250 rpm, 500 rpm and 750 rpm for constant sliding distance of 1000 m. The wear resistance of ADC12 alloy enriched with the accumulation of B4C and RHA particulates. Further, heat treated samples were exhibited the superior wear resistance as compared to the base alloy and un-heat treated samples.

Steady-State Wear Behavior of Multi-Scale Hybrid Composite—AA6061/Al2O3 (µm)/Si3N4 (nm)/Graphite—EN31 Steel Tribo System

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
P. Hariharasakthisudhan ◽  
K. Sathickbasha ◽  
B. Surya Rajan ◽  
V. Jeyanthram
Keyword(s):  
Steady State ◽  
Metal Powder ◽  
Wear Behavior ◽  
Normal Load ◽  
Research Work ◽  
Hybrid Nanocomposites ◽  
Dry Sliding Wear ◽  
Wear Loss ◽  
Wear Process ◽  
Ceramic Reinforcement

Abstract Hybrid metal matrix composites play a key role in the selection of advanced materials for automotive and aircraft structures in order to ensure the superior tribological properties. This research work highlighted the significance of Si3N4 nanoparticles and premixing of reinforcement with metal powder in steady-state wear behavior of AA6061/Al2O3/Si3N4/Gr hybrid nanocomposites. The dry sliding wear test using Pin-on-Disc apparatus was conducted by following ASTM G99 standard. This research work also reported the influence of normal load on wear loss and coefficient of friction for the sliding distances up to 12 km. Si3N4 nanoparticles significantly influenced the wear resistance of the hybrid nanocomposites by forming a well compacted tribo layer and the layer was retained at longer sliding distances. The composite with single ceramic reinforcement Al2O3, premixed with metal powder, showed abrasive wear. The composites with single ceramic reinforcement Al2O3, without premixing, showed delamination and third body wear during wear process.

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