Multi-objective optimization of micro deep drawing process using taguchi-based grey relational analysis

Saravanakumar, N (2019) Multi-objective optimization of micro deep drawing process using taguchi-based grey relational analysis. Journal of the Balkan Tribological Association, 25 (1). pp. 50-66. ISSN 13104772

Full text not available from this repository.

Abstract

The theory of Grey systems is a new technique to perform prediction, relational analysis and decision making in several fields. In this current investigation, a combination of Taguchi method and Grey relational analysis was used to optimize the multi responses in micro deep drawing process. The experiments were conducted on 100 µm thickness stainless steel 430 grade sheets through FE simulation to find the effect of four forming parameters: die corner radius (DCR), punch corner radius (PCR), friction (FRICT) and Clearance (CLEA) on thickness variation in cup (TVC) and maximal punch load (MPL). The experimentation has been planned as per Taguchi technique and the statistical analysis of variance (ANOVA) was performed to find the significance of forming factors on the output performance. The results have shown that FRICT (46.67%) and DCR (26.78%) were significant parameters to grey relational grade. The FE simulation results were validated by experimental results. The confirmation test was conducted to verify the experimental results. Finally, the experimental values were in good agreement with the model predicted values. Moreover, the optimal process parameters setting for minimum of variation in cup wall thickness and punch load can be obtained.

Item Type: Article
Subjects: F Mechanical Engineering > Manufacturing Engineering
Divisions: Mechanical Engineering
Depositing User: Users 5 not found.
Date Deposited: 26 Mar 2024 11:23
Last Modified: 26 Mar 2024 11:23
URI: https://ir.psgitech.ac.in/id/eprint/200

Actions (login required)

View Item
View Item