scholarly journals Evaluation Of Erosive Wear Rate Of Al2o3/Cu Composite Through Taguchi Method

Author(s):  
Md Zakir Hussain
Author(s):  
Muataz Al Hazza ◽  
Khadijah Muhammad

High speed machining has many advantages in reducing time to the market by increasing the material removal rate. However, final surface quality is one of the main challenges for manufacturers in high speed machining due to the increasing of flank wear rate. In high speed machining, the cutting zone is under high pressure associated with high temperature that lead to increasing of the flank wear rate in which affect the final quality of the machined surface. Therefore, one of the main concerns to the manufacturer is to predict the flank wear to estimate and predict the surface roughness as one of the main outputs of the machining processes. The aim of this study is to determine experimentally the optimum cutting parameters: depth of cut, cutting speed (Vc) and feed rate (f) that maintaining low flank wear (Vb). Taguchi method has been applied in this experiment. The Taguchi method has been universally used in engineering analysis.  JMP statistical analysis software is used to analyse statically the development of flank wear rate during high speed milling of hardened steel AISI D2 to 60 HRD. The experiment was conducted in the following boundaries: cutting speed 200-400 m/min, feed rate of 0.01-0.05 mm/tooth and depth of cut of 0.1-0.2 mm. Analysis of variance ANOVA was conducted as one of important tool for statistical analysis. The result showed that cutting speed is the most influential input factors with 70.04% contribution on flank wear.


Author(s):  
Gobinda C. Saha ◽  
A. Mateen ◽  
Tahir I. Khan

Abrasive and erosive wear of components and machinery is an ongoing challenge in the oil sands industry in northern Alberta, Canada. To improve the wear resistance by increasing surface hardness of steels, heat treatments and deposition of hard layers of metal alloys (such as stellite) by fusion welding techniques are traditionally used. However, these deposition techniques are not applicable to all shapes and add considerable weight to the final component. Thermal spraying techniques such as the use of high velocity oxy-fuel (HVOF) composite coatings based on WC-Co cermet system offer better wear resistance and greater flexibility in applications. This study presents work on two feedstock powders, namely nanocrystalline and microcrystalline WC-Co cermets, with identical matrix phase content: WC-17wt.%Co. The novelty of the research is that an engineered duplex Co coated WC-17wt.%Co cermet particle designed to withstand coating spalling under elevated loads as well as to limit abrasive debridement during wear is introduced for the first time to produce a more homogeneously-dispersed coating microstructure. The engineered particle has 6wt.% of the ductile phase material mixed into the core to insure that the reinforcement WC phase is discontinuous to limit the debridement during wear, while remainder (11wt.%) of the Co is applied as a coating on the particle to improve the ductility. The mechanical properties of the overall particle are further improved by controlling the size of the reinforcing phase (WC) in the matrix (Co). This resulted in a WC-17wt.%Co particle containing a characteristic WC grain in the order of 350 nm in the core with the Co outer coating of 1–2 μm thick, making the powder particle as nanocrystalline. HVOF deposited coatings of the nanocrystalline and microcrystalline powders were examined for microhardness, fracture toughness, sliding abrasion (ASTM G133-05) and dry-sand rubber wheel abrasion (ASTM G65-04) wear performance. The wear rate under various loads and sliding distances was studied. In both the coatings, it was found that the wear rate increased with increasing applied loads, while it decreased with increasing sliding distances. 3D surface analysis of the wear tracks using atomic force microscopy (AFM) revealed two distinctive mechanisms associated with the two coatings after abrasive wear. The improved wear resistance was attributed to the higher hardness value of the nanostructured WC-17wt.%Co coating. It was also found that the nanostructured WC-17wt.%Co coating has about twice the toughness of the conventional microstructured coating counterpart. The extent of the WC decarburization and the dissolution of Co in the coatings were also studied.


2008 ◽  
Vol 23 (2) ◽  
pp. 192-199 ◽  
Author(s):  
A. Patnaik ◽  
A. Satapathy ◽  
S. S. Mahapatra ◽  
R. R. Dash
Keyword(s):  

Author(s):  
Om Parkash ◽  
Arvind kumar ◽  
Basant Singh Sikarwar

Erosive wear caused by particulates slurry is one of the major concerns in the pipe bend which may results in the failure of the pipe flow system. In the present work, erosion wear rate through mitre pipe bend caused by silica sand particulates slurry has been investigated using ANSYS Fluent code. The solid spherical particulates of size 125 µm and 250 µm having density of 2650 Kg/m3, were tracked to compute the erosion wear rate using Discrete Phase Method (DPM) model. The particulates were tracked using Eulerian-Lagrange approach along with k-ɛ turbulent model for continuous fluid phase. The silica particulates were injected at solid concentration of 5% and 10% (by weight) from the pipe inlet surface for wide range of velocities viz. 1–8 ms−1. The erosion wear rate was computed through four computational erosion models viz. Generic, Oka, Finnie and Mclaury. Furthermore, the outcomes obtained through Generic models are verified through existing experimental data in the literture. Moreover, the results of DPM concentration, turbulence intensity and particle tracking were predicted to analyze the secondary flow behaviour through the bend cross section. Finally, the effect of particulate size, solid concentration and flow velocity were discussed on erosion wear rate through bend cross section. The findings show that the locality of maximum erosive wear is positioned at the extrados of the bend outlet cross section. Additionally, it is found that Mclaury model offers higher erosion rate as compared to the other models and provides benchmark for designing the slurry pipeline system.


2021 ◽  
Author(s):  
Anis Adilah Abu Talib ◽  
Aidah Jumahat ◽  
Mohammad Jawaid ◽  
Napisah Sapiai ◽  
Nagarajan Rajini

Abstract This paper reports the effect of 1.0 wt%, 3.0 wt% and 5.0 wt% nanoclay loadings on specific wear rate properties of basalt fibre reinforced polymer (BFRP) composites. The specific wear rate properties of the BFRP composites were analysed at three different wear conditions, i.e. dry adhesive sliding, two-body abrasion and slurry pot erosion in which the composites slide against smooth steel, rough silicon carbide and medium coarse sand mixture, respectively. The operating parameters for the wear tests were set at 30 N load, 300 rpm speed and 10 km distance. The results demonstrated that nanoclay incorporation enhanced the adhesive and erosive wear properties of BFRP composites up to 32% and 51%, respectively. In contrast, nanoclay incorporation deteriorated the abrasive wear properties of BFRP with increasing in nanoclay loading. The morphology of worn surfaces was evaluated using scanning electron microscopy (SEM) to study the wear behavior of the nanoclay modified BFRP composites. It concluded that nanoclay incorporation exhibited significant influence on wear properties of the polymer composites depending on the wear environment condition.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 3110-3113

In this present study, wear behavior of Al 5456 Alloy reinforced with 0,3 and 6 wt %TiB2 were investigated by ANOVA and Taguchi’s (L9 ) method. The composite samples were prepared by stir casting technique. Wear experiment was carried out by pin on disc apparatus under the different parameters of loads (10N, 20N and 30N), sliding velocity (2,4 and 6m/s) and time (10,15 and 20 min).This paper revealed that addition of Titanium diboride (TiB2 ) improves the wear resistance of Al5456 composite. The result showed that wear rate was decreased with increasing the weight percentage of TiB2 . ANOVA and Taguchi method results were tabulated in MINITAB-18 Software package to analyze the influence of individual parameters on the wear rate. Additionally, regression equation was also found the relation between input parameters and wear rate


Author(s):  
Ajay K Kahale

Abstract: Titanium Grade 2 sample piece were subjected to wear on standard linear reciprocating tribometer machine for dry sliding condition in the constant temperature. Taguchi method were use to predict the wear rate against parameter such as Load, Frequency, and time. Signal to noise ratio and ANOVA were used study the impact of these three parameter on the wear rate. In conclusion, the major statistical factor affecting wear rate is load, followed by frequency and duration. Multiple linear regression equations are developed. Keywords: Titanium grade 2, wear rate, Tribometer, ANOVA


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