IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Identification of Optimal Process Parameters in Electro-Discharge Machining Using ANN and PSO

Identification of Optimal Process Parameters in Electro-Discharge Machining Using ANN and PSO
View Sample PDF
Author(s): Kaushik Kumar (Birla Institute of Technology, India)and J. Paulo Davim (University of Aveiro, Portugal)
Copyright: 2022
Pages: 19
Source title: Research Anthology on Artificial Neural Network Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-2408-7.ch038

Purchase

View Identification of Optimal Process Parameters in Electro-Discharge Machining Using ANN and PSO on the publisher's website for pricing and purchasing information.

Abstract

Electrical Discharge Machining (EDM) process is a widely used machining process in several fabrication, construction and repair work applications. Considering Pulse-On Time, Pulse OFF time, Peak-Current and Gap voltage as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness are considered as outputs. In order to reduce the number of experiments Design of Experiments (DOE) was undertaken using Orthogonal Array and later on the outputs were optimized using ANN and PSO. It was found that the results obtained from both the techniques were tallying with each other.

Related Content

Vinod Kumar, Himanshu Prajapati, Sasikala Ponnusamy. © 2023. 18 pages.
Sougatamoy Biswas. © 2023. 14 pages.
Ganga Devi S. V. S.. © 2023. 10 pages.
Gotam Singh Lalotra, Ashok Sharma, Barun Kumar Bhatti, Suresh Singh. © 2023. 15 pages.
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 16 pages.
R. Soujanya, Ravi Mohan Sharma, Manish Manish Maheshwari, Divya Prakash Shrivastava. © 2023. 12 pages.
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 22 pages.
Body Bottom