Study on carbon epoxy composite surfaces machined by abrasive water jet machining

2018 ◽  
Vol 53 (20) ◽  
pp. 2909-2924 ◽  
Author(s):  
Ajit Dhanawade ◽  
Shailendra Kumar

Traditional machining of carbon epoxy composite material is difficult due to excessive tool wear, excessive stresses and heat generation, delamination, high surface waviness, etc. In the present paper, research work involved in the experimental study of abrasive water jet machining of carbon epoxy composite material is described. The aim of present work is to improve surface finish and studying defects in machined samples. Taguchi's orthogonal array approach is used to design experiments. Process parameters namely hydraulic pressure, traverse rate, stand-off distance and abrasive mass flow rate are considered for this study. Analysis of machined surfaces and kerf quality is carried out using scanning electron microscope to evaluate microscopic features. Further, the effect of machining parameters on surface roughness is investigated using analysis of variance approach. It is found that traverse rate and pressure are most significant parameters to control surface roughness. Optimization of process parameters is performed using grey relational analysis. Thereafter, confirmation tests are carried out to verify the improvement in the surface quality with optimum set of process parameters. It is found that surface finish of machined samples is improved by 10.75% with optimum levels of process parameters. Defects like delamination, fiber pull-out and abrasive embedment are also studied using SEM. It is observed that delamination and fiber pull-out are prominent in samples machined at low pressure and high traverse rate.

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Deepak Doreswamy ◽  
Basavanna Shivamurthy ◽  
Devineni Anjaiah ◽  
N. Yagnesh Sharma

In the present research work, the effect of abrasive water jet (AWJ) machining parameters such as jet operating pressure, feed rate, standoff distance (SOD), and concentration of abrasive on kerf width produced on graphite filled glass fiber reinforced epoxy composite is investigated. Experiments were conducted based on Taguchi’s L27 orthogonal arrays and the process parameters were optimized to obtain small kerf. The main as well as interaction effects of the process parameters were analyzed using the analysis of variance (ANOVA) and regression models were developed to predict kerf width. The results show that the operating pressure, the SOD, and the feed rate are found to be significantly affecting the top kerf width and their contribution to kerf width is 24.72%, 12.38%, and 52.16%, respectively. Further, morphological study is made using scanning electron microscope (SEM) on the samples that were machined at optimized process parameters. It was observed that AWJ machined surfaces were free from delamination at optimized process parameters.


The main aim of this investigation is to study the surface roughness produced on abrasive water jet machining of the twill weaved carbon fibre reinforced epoxy composite. Abrasive water jet machining experiment was conducted as per L9 orthogonal array, by varying water pressure, transverse speed and SOD. The performance of the composite was analysed by measuring the surface roughness. Using Taguchi analysis, the influences of input parameter over the output response was analysed. It was found that the surface roughness is highly influenced by the transverse speed.


Author(s):  
Thobi Phokane ◽  
Kapil Gupta ◽  
Munish Kumar Gupta

Surface roughness parameters are important indicators for determining the operating performance, tribology behavior, wear and tear characteristics, and service life of engineered parts including gears. This article presents the investigation on surface roughness, and tribology and wear aspects of miniature brass gears manufactured by abrasive water jet machining. Experiments have been conducted based on Taguchi's robust design technique with L9 orthogonal array to machine external spur-type miniature gears of brass having 8.4 mm pitch diameter, 12 teeth, and 5 mm thickness. The effect of three important process parameters namely water jet pressure, abrasive mass flow rate, and stand-off distance on mean roughness depth of miniature gears are analyzed. Surface roughness is found to decrease with the increase in the water jet pressure and abrasive mass flow rate, and increases with the increase in the stand-off distance. Particle swarm optimization technique has been used for parametric optimization to minimize the surface roughness of miniature gears. Confirmation experiment conducted at optimized abrasive water jet machining parameters resulted in superfine surface finish with mean roughness depth value of 4.1 µm superior than the finish obtained by other advanced processes for brass gears. The investigated values of bearing area characteristics, skewness, kurtosis, and friction coefficient confirm the tribological fitness of the miniature brass gear machined at optimum abrasive water jet machining parameters.


2016 ◽  
Vol 66 (5) ◽  
pp. 522 ◽  
Author(s):  
Ajit Dhanawade ◽  
Shailendra Kumar ◽  
R. V. Kalmekar

An experimental study of abrasive water jet machining of carbon epoxy composite is presented. Process parameters namely hydraulic pressure, traverse rate, stand-off distance and abrasive mass flow rate are considered for this study. Taguchi approach and analysis of variance are used to study the influence of process parameters on response characteristics including surface roughness and kerf taper. It is found that hydraulic pressure and traverse rate are most significant parameters to control surface roughness and kerf taper. Microscopic features of the machined surfaces are evaluated using scanning electron microscope and compared with sample surfaces machined by conventional method using diamond edge cutter.A set of process parameters is optimised to achieve minimum surface roughness and kerf taper. Confirmation tests are performed to verify the optimum set of process parameters. Defects like delamination, fibre pull out and abrasive embedment are also studied using scanning electron microscope.


2017 ◽  
Vol 51 (24) ◽  
pp. 3373-3390 ◽  
Author(s):  
Ajit Dhanawade ◽  
Shailendra Kumar

The present article focuses on mechanism of delamination and kerf geometry in abrasive water jet machining of carbon epoxy composite. In the present study, four process parameters of abrasive water jet machining namely hydraulic pressure, traverse rate, stand-off distance, and abrasive mass flow rate are considered. The experiments are performed on the basis of response surface methodology as a statistical design of experiment approach. Delamination in machined samples is observed by using scanning electron microscope. Analysis of variance is performed in order to investigate the influence of process parameters on delamination, kerf taper ratio, and kerf top width. It is found that delamination decreases with increase in pressure and abrasive mass flow rate and decrease in stand-off distance and traverse rate. Kerf taper ratio decreases with increase in pressure and decrease in traverse rate and stand-off distance. Kerf top width decreases with decrease in stand-off distance and increase in traverse rate. Based on analysis, mathematical models are developed to predict the maximum delamination length, kerf taper ratio, and kerf top width. Further, a multi-response optimization is performed on the basis of desirability function to minimize delamination, kerf taper ratio, and kerf top width.


Author(s):  
LEELADHAR NAGDEVE ◽  
VEDANSH CHATURVEDI ◽  
JYOTI VIMAL

In this paper, Taguchi method is applied to find optimum process parameter for Abrasive water jet machining (AWJM). Abrasive water jet machining is a non–traditional process of removal of material by impact erosion of high pressure, high velocity of water and entrained high velocity of grit abrasives on a work piece. Experimental investigation were conducted to assess the influence of abrasive water jet machining (AWJM) process parameters on MRR and surface Roughness (Ra) of aluminium. The approach was based on Taguchi’s method and analysis of variance (ANOVA) to optimize the AWJM process parameter for effective machining and to predict the optimal choice for each AWJM parameter such as pressure, standoff distance, Abrasive flow rate and Traverse rate. For each combination of orthogonal array we have conducted three experiments and with the help of ANOVA it is found that these parameters have a significant influence on machining characteristics such as metal removal rate (MRR) and surface roughness (SR). The analysis of the Taguchi method reveals that, in general the standoff distance significantly affects the MRR while, Abrasive flow rate affects the surface Roughness. Experiments are carried out using (L9) orthogonal array by varying pressure, sta


2018 ◽  
Vol 221 ◽  
pp. 01004
Author(s):  
Vishal S Sharma ◽  
Amit Kumar ◽  
Munish Kumar Gupta ◽  
Neeraj Bhanot

Recently, the trend of optimization algorithms for improvements of surface quality and productivity characteristics in abrasive water jet machining of titanium alloy (Ti-6Al-4V alloy) has become increasingly more widespread in various industrial sectors i.e., aircraft and automobile Industries. Here, the present research attempts to select the ideal or best AWJM process parameters by implementing the well known meta-heuristic algorithm i.e., Teacher learning based optimization method (TLBO). The AWJM experiments as per the Taguchi L9 orthogonal array were performed on Ti 6Al-4V titanium alloy by considering jet transverse speed, stand-off distance and abrasive flow as the input parameters. Then, the influence of process parameters on surface roughness and material removal rate has been performed by means plot and ANOVA analysis. After that, the results are optimized with the TLBO method. The overall results indicate that the TLBO method is an efficient method used to find the optimal results with very short interval of time i.e., within 3 sec.


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