Quantification of Energy Absorption Capability in Abrasive Water Jet Machining

1995 ◽  
Vol 209 (6) ◽  
pp. 491-498 ◽  
Author(s):  
A W Momber ◽  
R Kovacevic
Keyword(s):  
Mathematical Model ◽  
Stainless Steel ◽  
Energy Absorption ◽  
Water Jet ◽  
Order Equation ◽  
Second Order ◽  
Depth Of Cut ◽  
Relative Depth ◽  
Abrasive Water Jet ◽  
Abrasive Water Jet Machining

The paper contains a mathematical model for the estimation of the energy absorption capability of materials during abrasive water jet machining based on an energy balance inside the workpiece. A parameter χ(h) is defined to describe and calculate the energy absorption capability. A method for the estimation of this parameter is developed based on a parabolic striation model. It is shown that the energy absorption depends on the depth of cut following a second-order equation. The relation between the relative depth of cut h/hmax and the energy absorption capability χ(h) can also be described by a second-order equation. For such materials as aluminium, cast iron and stainless steel a critical point of abrasive water jet energy absorption is detected at a depth of cut of h = 0.52hmax, which corresponds to a striation angle of about 75°.

Fuzzy logic-based expert system for prediction of depth of cut in abrasive water jet machining process

2012 ◽  
Vol 27 ◽  
pp. 456-464 ◽  
Author(s):  
Pandu R. Vundavilli ◽  
M.B. Parappagoudar ◽  
S.P. Kodali ◽  
Surekha Benguluri
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Water Jet ◽  
Machining Process ◽  
Depth Of Cut ◽  
Abrasive Water Jet ◽  
Abrasive Water Jet Machining

scholarly journals Abrasive Water Jet Cutting of Stainless-Steel Optimization by Orthogonal Array Approach

2019 ◽  
Vol 71 (1) ◽  
pp. 55-61
Author(s):  
Andrzej Perec ◽  
Aleksandra Radomska-Zalas
Keyword(s):  
Stainless Steel ◽  
Traverse Speed ◽  
Water Jet ◽  
Maximum Depth ◽  
Depth Of Cut ◽  
Process Conditions ◽  
Machining Parameters ◽  
Abrasive Water Jet ◽  
Cutting Depth ◽  
Water Jet Cutting

Abstract The paper presents the use of Taguchi method to optimize the cutting of stainless steel by Abrasive Water Jet. Shown are the influence of the most important machining parameters, such a traverse speed, abrasive grains size and concentration of abrasive in the jet on the maximum depth of cut. Analysis of variance - ANOVA was used to determine the effect of machining parameters on the cutting depth. Based on the calculated signal/noise ratios for individual parameters of the cutting process, their impact on cutting depth was determined and optimal process conditions were determined in order to reach the maximum depth of cut. The empirical verification of this process was also performed by comparing the depth of cut predicted and achieved in the tests.

Experimental Investigation and Optimization of SiC Abrasive Water Jet Machining of Aluminium Alloys

2018 ◽  
Vol 10 (5) ◽  
Author(s):  
R. Rahul ◽  
S. Sreenivash ◽  
K. Renuka ◽  
S. Sathish ◽  
V. Anandakrishnan
Keyword(s):  
Traverse Speed ◽  
Water Jet ◽  
Depth Of Cut ◽  
Abrasive Water Jet ◽  
Optimal Parameters ◽  
Taguchi Technique ◽  
Mathematical Relationship ◽  
Abrasive Water Jet Machining ◽  
Response Table ◽  
Main Effect

Investigation of the parameters variation over the abrasive water jet machining of aluminium 2014 alloy was studied using the Taguchi technique. Traverse speed, standoff distance, pressure and mass flow rate were considered as the process parameters and were varied at three levels. The depth of cut was taken as the response, and it was measured and analysed statistically. The optimal parameters to achieve the maximum depth of cut were identified with the main effect plot. Most influencing parameters over the depth of cut were identified with the analysis of variance and response table. A mathematical relationship was developed to predict the depth of cut.

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