Published August 1, 2019 | Version v1
Journal article

Influence of process factors on surface measures on electrical discharge machined stainless steel using TOPSIS

  • 1. Department of Mechanical and Electrical Technology, Xijing University, Xi'an-710123 (China)
  • 2. School of Mechanical Engineering, Xijing University, Xi'an-710123 (China)
  • 3. Intelligent Manufacturing Research and Development Center, Xijing University, Xi'an-710123 (China)
  • 4. Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kancheepuram District, Tamilnadu (India)
  • 5. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen City (Viet Nam)

Description

The optimal input process parameter combination has to be derived for obtaining the better multiple performance measures in any manufacturing process. An effort was attempted to perform multi criteria decision making for deriving surface performance measures in electrical discharge machining process using TOPSIS approach. It has been utilized to obtain minimum levels of multiple performance measures such as average white layer thickness and surface roughness with the maximum level of compressive residual stress while machining AISI 304 stainless steel using electrical discharge machining process. From the experimental investigation, it has been found that current due to plasma formation has most influent nature on performance measures. The optimal arrangement of machining process parameters has been found using TOPSIS based multi criteria decision making. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/2053-1591/ab1ae0

Additional details

Identifiers

Publishing Information

Journal Title
Materials Research Express (Online)
Journal Volume
6
Journal Issue
8
Journal Page Range
[8 p.]
ISSN
2053-1591