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.

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 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.

Wear Behavior of In Situ Mg2Si Particle-Dispersed Magnesium Alloys

2017 ◽  
Vol 909 ◽  
pp. 100-105
Author(s):  
Kazunori Asano
Keyword(s):  
Magnesium Alloys ◽  
High Speed ◽  
Wear Behavior ◽  
Particle Dispersion ◽  
Dry Sliding Wear ◽  
Wear Loss ◽  
Mg2si Particle ◽  
Particle Volume ◽  
Volume Fractions

Magnesium alloys, in which the in-situ Mg2Si particles were dispersed, were fabricated by a casting process, and the dry sliding wear behavior of the alloys was investigated. Optical microscopy revealed that the polygonal Mg2Si particles were homogeneously dispersed in the alloys. Mg2Si particle volume fractions in the alloys were 7 and 11 vol%. Although the wear loss of the alloy decreased due to the particle-dispersion, there was no difference in the wear loss between the alloys with different volume fractions. The worn surfaces of the particle-dispersed alloys were covered with the crumbled Mg2Si particles, which would prevent seizure between the alloy and the steel counterpart, leading to an improvement in the wear resistance of the alloy. The particle-dispersion slightly decreased the scatter of the coefficient of friction during the wear for the low sliding speed and load, but the effect of the dispersion was not clearly observed for the high speed and load.

High-Temperature Wear Mechanisms of a Severely Plastic Deformed Al/Mg2Si Composite

2018 ◽  
Vol 141 (3) ◽  
Author(s):  
Mahsa Ebrahimi ◽  
Abbas Zarei-Hanzaki ◽  
A. H. Shafieizad ◽  
Michaela Šlapáková ◽  
Parya Teymoory
Keyword(s):  
Plastic Deformation ◽  
Room Temperature ◽  
Wear Behavior ◽  
Normal Load ◽  
Aluminum Matrix ◽  
Hardened Layer ◽  
Dry Sliding Wear ◽  
Wear Properties ◽  
Wear Performance ◽  
Processed Material

The present work was primarily conducted to study the wear behavior of as-received and severely deformed Al-15%Mg2Si in situ composites. The severe plastic deformation was applied using accumulative back extrusion (ABE) technique (one and three passes). The continuous dynamic recrystallization (CDRX) was recognized as the main strain accommodation and grain refinement mechanism within aluminum matrix during ABE cycles. To investigate the wear properties of the processed material, the dry sliding wear tests were carried out on both the as-received and processed samples under normal load of 10 and 20 N at room temperature, 100 °C, and 200 °C. The results indicated a better wear resistance of processed specimens in comparison to the as-received ones at room temperature. In addition, the wear performance was improved as the ABE pass numbers increased. These were related to the presence of oxide tribolayer. At 100 °C, the as-received material exhibited a better wear performance compared to the processed material; this was attributed to the formation of a work-hardened layer on the worn surface. At 200 °C, both the as-received and processed composites experienced a severe wear condition. In general, elevating the temperature changed the dominant wear mechanism from oxidation and delamination at room temperature to severe adhesion and plastic deformation at 200 °C.

Mechanical and Wear Behavior of Al7075 - Graphite Self-Lubricating Composite Reinforced by Nano-WO3 Particles

2020 ◽  
Vol 1002 ◽  
pp. 151-160 ◽  
Author(s):  
Anmar D. Mahdi ◽  
Saif S. Irhayyim ◽  
Salah F. Abduljabbar
Keyword(s):  
Compressive Strength ◽  
Friction Coefficient ◽  
Wear Rate ◽  
Wear Behavior ◽  
Microstructural Analysis ◽  
Wear Test ◽  
High Strength ◽  
Hybrid Nanocomposites ◽  
Dry Sliding Wear ◽  
Alloy Matrix

Al7075 hybrid nanocomposites considered one of the most material utilized in modern engineering applications that required a combination of superior properties such as lightweight, high strength, excellent corrosion resistance, and high thermal conductivity. In the current study, Al7075 – 5 vol % graphite self-lubricating composite was reinforced by 0, 1.5, 2.5, 3.5, and 4.5 vol % WO3 nanoparticles in order to study the microstructural, mechanical, and wear characteristics. The classical powder metallurgy route was employed to fabricate the hybrid nanocomposites specimens. The microstructural analysis of the nanocomposites was characterized by utilizing a Field Emission Scanning Electron Microscope (FESEM) and Energy-Dispersive X-ray (EDX) analyses. Mechanical properties such as micro-hardness and diametral compressive strength were studied. Dry sliding wear test was performed under the various loads of 10, 15, 20, and 25 N at a sliding distance and sliding speed of 1810 m and 1.5 m/s, respectively. Results have revealed that the microhardness and diametral compressive strength considerably improved by increasing the WO3 content until 3.5 vol % and then slightly decreased. Besides, both the values of the wear rate and friction coefficient gradually reduced by increment the reinforcement content up to 3.5 vol % and then suddenly increases for all the applied loads. Nevertheless, the wear rate and friction coefficient were correlated positively with the applied loads. From the results obtained, graphite as solid lubricating material with WO3 nanoparticles was successfully combined into the Al7075 alloy matrix. The optimum mechanical and wear performance of the hybrid nanocomposite were revealed at 3.5 vol % content of WO3 nanoparticles.

Multi-response optimization of tribological characteristics of aluminum MMCs using PCA

2014 ◽  
Vol 10 (2) ◽  
pp. 276-287
Author(s):  
Rajesh Siriyala ◽  
A. Gopala Krishna ◽  
P. Rama Murthy Raju ◽  
M. Duraiselvam
Keyword(s):  
Sliding Wear ◽  
Wear Behavior ◽  
Principal Component ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
Content Type ◽  
Wear Process ◽  
Response Optimization ◽  
Sliding Distance

Purpose – Since, wear is the one of the most commonly encountered industrial problems leading to frequent replacement of components there is a need to develop metal matrix composites (MMCs) for achieving better wear properties. The purpose of this paper is to fabricate aluminum MMCs to improve the dry sliding wear characteristics. An effective multi-response optimization approach called the principal component analysis (PCA) was used to identify the sets of optimal parameters in dry sliding wear process. Design/methodology/approach – The present work investigates the dry sliding wear behavior of graphite reinforced aluminum composites produced by the molten metal mixing method by means of a pin-on-disc type wear set up. Dry sliding wear tests were carried on graphite reinforced MMCs and its matrix alloy sliding against a steel counter face. Different contact stress, reinforcement percentage, sliding distance and sliding velocity were selected as the control variables and the response selected was wear volume loss (WVL) and coefficient of friction (COF) to evaluate the dry sliding performance. An L25 orthogonal array was employed for the experimental design. Optimization of dry sliding performance of the graphite reinforced MMCs was performed using PCA. Findings – Based on the PCA, the optimum level parameters for overall principal component (PC) of WVL and COF have been identified. Moreover, analysis of variance was performed to know the impact of individual factors on overall PC of WVL and COF. The results indicated that the reinforcement percentage was found to be most effective factor among the other control parameters on dry sliding wear followed by sliding distance, sliding velocity and contact stress. Finally the wear surface morphology of the composites has been investigated using scanning electron microscopy. Practical implications – Various manufacturing techniques are available for processing of MMCs. Each technique has its own advantages and disadvantages. In particular, some techniques are significantly expensive compared to others. Generally the manufacturer prefers the low cost technique. Therefore stir casting technique which was used in this paper for manufacturing of Aluminum MMCs is the best alternative for processing of MMCs in the present commercial sectors. Since the most important criteria of a dry sliding wear behavior is to provide lower WVL and COF, this study has intended to prove the application of PCA technique for solving multi objective optimization problem in wear applications like piston rings, piston rods, cylinder heads and brake rotors, etc. Originality/value – Application of multi-response optimization technique for evaluation of tribological characteristics for Aluminum MMCs made up of graphite particulates is a first-of-its-kind approach in literature. Hence PCA method can be successfully used for multi-response optimization of dry sliding wear process.

scholarly journals Effect of Nanobainite Content on the Dry Sliding Wear Behavior of an Al-Alloyed High Carbon Steel with Nanobainitic Microstructure

Materials ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1618 ◽  
Author(s):  
Zhaohuan Song ◽  
Songhao Zhao ◽  
Tao Jiang ◽  
Junjie Sun ◽  
Yingjun Wang ◽  
...  
Keyword(s):  
Wear Resistance ◽  
Carbon Steel ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Normal Load ◽  
High Carbon Steel ◽  
Peak Hardness ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
High Carbon

In this work, a multiphase microstructure consisting of nanobainte, martensite, undissolved spherical carbide, and retained blocky austenite has been prepared in an Al-alloyed high carbon steel. The effect of the amount of nanobainite on the dry sliding wear behavior of the steel is studied using a pin-on-disc tester with loads ranging from 25–75 N. The results show that, there is no significant differences in specific wear rate (SWR) for samples with various amounts of nanobainite when the normal load is 25 N. While, the SWR firstly decreases and then increases with increasing the amount of nanobainite, and the optimum wear resistance is obtained for samples with 60 vol.% nanobainite, when the applied load increases to 50 and 75 N. The improved wear resistance is attributed to the peak hardness increment resulted from the transformation of retained austenite to martensite, work hardening, along with amorphization and nanocrystallization of the worn surface. In addition, the highest toughness of the samples with 60 vol.% nanobainite is also proven to play a positive role in resisting sliding wear. EDS (energy dispersion spectrum) and XRD (X-ray diffraction) examinations reveal that the predominant failure mechanism is oxidative wear.

Dry Sliding Wear Behavior of Titanium Metal Powder Filled Aluminum Alloy Composites for Gear Application

2018 ◽  
Vol 877 ◽  
pp. 118-136 ◽  
Author(s):  
Ashiwani Kumar ◽  
Amar Patnaik ◽  
I.K. Bhat
Keyword(s):  
Aluminum Alloy ◽  
Wear Rate ◽  
Metal Powder ◽  
Sliding Wear ◽  
High Vacuum ◽  
Research Work ◽  
Casting Machine ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Titanium Metal

In the current research work, the influence of titanium metal powder on wear beheviour of Al 7075 composites is investigated. These composites were fabricated by using the high vacuum casting machine. The Tribological beheviour of titanium metal powder aluminum alloy composites was investigated by performing dry sliding experiments as a function of wear with a E-31 harden steel disk( 62 HRC) as the counterpart on pin on disk machine . Wear experiments were performed for normal load of 20, 35, 50 , 65 and 80 N at sliding velocities of 0.25, 0.5, 0.75, 1, 1.25 m/s and sliding distance (250 ,500, 750, 1000 and 1250 m at room temperature. The tests were performed on Taguchi’s L25 orthogonal array and the effect of working parameters on wear rate was studied using ANOVA. To investigate the dominant sliding wear mechanism for different steady state experiment conditions, the SEM micrograph of worn surfaces were analyzed using scanning electron microscopy. The wear rate was found to minimum as compared to unfilled alloy and the wear resistance improves the aluminum alloy composites. Finally, it was investigated that the analysis of microstructure and wear properties of titanium metal powder filled alloy composite.

Effect of Operating Variables With Heat Treatment and Their Interactions on Wear Behavior of High Carbon Steels in Dry Sliding

Tribology ◽  
2005 ◽  
Author(s):  
Aimen M. Younis ◽  
Ahmed A. Akbar
Keyword(s):  
Heat Treatment ◽  
Wear Behavior ◽  
Normal Load ◽  
Carbon Steels ◽  
Main Mechanism ◽  
Wear Loss ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
High Carbon ◽  
Operating Variables

The present study deals with the wear data analysis of high carbon steels to investigate the relationship between the operating variables and the heat treatment. The steel selected was 1095 in the AISI standard which is equivalent to C105W1 in the German standard. The wear studies were carried out by using pin on disc apparatus at room temperature in dry sliding. The wear data were carried out based on an experimental design (24 factorial design ) following by analysis of variance method (ANOVA) to examine the main effect of sliding velocity, normal load, sliding distance, heat treatment, and their interactions on wear behavior. The results show that severe deformation of annealed and quenched 1095 steels on the contact surface was responsible for high wear loss at high normal loads and low sliding velocities. At high normal load and low sliding velocity, severe wear by oxidative-metallic was main mechanism and at low normal load for the same sliding velocity, mild wear by oxidative was main mechanism. The ANOVA results show that the operating variables have more significant effect on wear loss than that of heat treatment.

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