Open AccessProcess Parameter Optimization of WEDM Machining Ondie Steel-D3 for Curved Shape Cut Using Regression Modeling Analysis
Author(s) -
Siddharth Sharma
Publication year - 2019
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2019.5480
Subject(s) - machining , process (computing) , regression analysis , electrical discharge machining , materials science , mechanical engineering , computer science , engineering , metallurgy , machine learning , operating system
WEDM is the non conventional machining process to cut the work piece in high precis manner. In present study D3 Die material is used as work material and process parameters of WEDM are selected and experimentally investigated for selective response. In present research study four process parameters having each three levels, the process parameters are following: Ton, Toff, current and wire feed. The experiment tables are generate using Taguchi Method separately for both materials. In this research work three response parameters cutting time, material removal rate and surface roughness are selected. Signal to noise ratio analysis, analysis of variance and multi objective optimization is performed using stats software Mini-tab
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