The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Optimization of Process Parameters for Electro-Chemical Machining of EN19: Using Particle Swamp Optimization
|
|
Author(s): Divya Zindani (National Institute of Technology Silchar, India), Nadeem Faisal (Birla Institute of Technology, India)and Kaushik Kumar (Birla Institute of Technology, India)
Copyright: 2019
Pages: 16
Source title:
Handbook of Research on Green Engineering Techniques for Modern Manufacturing
Source Author(s)/Editor(s): M. Uthayakumar (Kalasalingam University, India), S. Aravind Raj (Vellore Institute of Technology, India), Tae Jo Ko (Yeungnam University, South Korea), S. Thirumalai Kumaran (Kalasalingam University, India)and J. Paulo Davim (University of Aveiro, Portugal)
DOI: 10.4018/978-1-5225-5445-5.ch008
Purchase
|
Abstract
Electrochemical machining (ECM) is a non-conventional machining process that is used for machining of hard-to-machine materials. The ECM process is widely used for the machining of metal matrix composites. However, it is very essential to select optimum values of input process parameters to maximize the machining performance. However, the optimization of the output process parameters and hence the machining performance is a difficult task. In this chapter an attempt has been made to carry out single and multiple optimization of the material removal rate (MRR) and the surface roughness (SR) for the ECM process of EN19 using the particle swarm optimization (PSO) technique. The input parameter considered for the optimization are electrolyte concentration (%), voltage (V), feed rate (mm/min), and inter-electrode gap (mm). The optimum value of MRR and SR as found using the PSO algorithm are 0.1847 cm3/min and 25.0612, respectively.
Related Content
|
Md. Al-Amin, G M Tarekul Islam.
© 2023.
19 pages.
|
|
A.K.M Saiful Islam, Abu Saleh Khan, G M Tarekul Islam, Biswa Bhattacharya, Dr. Md. Hazrat Ali, Md. Saiful Hossain.
© 2023.
19 pages.
|
|
Trung Van Le, Phu L. Vo, Quang Khai Ha, Van Tran Thi, Hiep Dinh Luu.
© 2023.
26 pages.
|
|
Elena Kapogianni.
© 2023.
17 pages.
|
|
Mohammad Shoeb, Rafiza Islam, Nargis Parvin.
© 2023.
24 pages.
|
|
Pınar Ozel, Duygu Mutlu Bayraktar, Tugba Altan, Veysel Coskun, Ali Olamat.
© 2023.
14 pages.
|
|
Mohammad Shoeb, Nilufar Nahar.
© 2023.
22 pages.
|
|
|