scholarly journals Application of Artificial Neural Networks in Abrasive Water Jet Milling

Procedia CIRP ◽  
2015 ◽  
Vol 37 ◽  
pp. 225-229 ◽  
Author(s):  
T.V.K. Gupta ◽  
J. Ramkumar ◽  
Puneet Tandon ◽  
N.S. Vyas
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Water Jet ◽  
Abrasive Water Jet ◽  
Artificial Neural ◽  
Jet Milling

scholarly journals IMPLEMENTATION OF TAGUCHI APPROACH FOR PTIMIZATION OF ABRASIVE WATER JET MACHINING PROCESS PARAMETERS

2012 ◽  
pp. 224-228
Author(s):  
LEELADHAR NAGDEVE ◽  
VEDANSH CHATURVEDI ◽  
JYOTI VIMAL
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Process Parameters ◽  
Flow Rate ◽  
Orthogonal Array ◽  
High Velocity ◽  
Water Jet ◽  
Process Parameter ◽  
Abrasive Water Jet ◽  
Abrasive Water Jet Machining

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

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