Abstract

The machining capability of metal composites is different compared to other materials because of their specific physical and mechanical properties. The aluminum composite A413 reinforced with Alumina powder is one of the materials which causes rapid erosion of the tool if traditional machining methods are employed. In this research, the electrical discharge machining experiments were conducted using the Taguchi method. After analysis of variance (ANOVA) using simultaneous analysis of total normalized quality loss (TNQL), and signal-to-noise ratio (S/N) of outputs, the effect of each parameter such as current intensity, voltage, pulse on-time and pulse off-time have been investigated. These parameters are influential on material removal rates, surface roughness, and tool wear ratio of electric discharge machining in two cases of with alumina powder and without alumina powder in dielectric. The outcomes of this research indicate that the use of Alumina powder 3 g/L in kerosene dielectric averagely reduces the material removal rate by 7.8%, increases the surface roughness by 8.8%, and decreases the tool wear ratio by 1.3%. Also, the results of analysis of total normalized quality loss and signal-to-noise ratio of the experiment have been shown as the first level of voltage (A1), the first level of current intensity (B1), the first level of pulse on time (C1), and the third level of pulse off time (D3).

Details

Title
The effect of alumina powder in dielectric on electrical discharge machining parameters of aluminum composite A413-Al2O3 by the Taguchi method, the signal-to-noise analysis and the total normalized quality loss
Author
Shahbazi, Dastjerdi Mojtaba 1 ; Mokhtarian, Ali 1 ; Saraeian Payam 2 

 Islamic Azad University, Department of Mechanical Engineering, Khomeinishahr Branch, Khomeinishahr, Iran 
 Islamic Azad University, Department of Mechanical Engineering, Najafabad Branch, Najafabad, Iran (GRID:grid.468905.6) 
Publication year
2020
Publication date
Dec 2020
Publisher
Springer Nature B.V.
ISSN
18230334
e-ISSN
21982791
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2385884317
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.