Open AccessMachining and forecasting of square profile areas using artificial neural modelling at different slant angles by WEDM.
Author(s) -
I. V. Manoj,
S. Narendranath
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1065/1/012011
Subject(s) - machining , fixture , tapering , artificial neural network , electrical discharge machining , offset (computer science) , square (algebra) , mechanical engineering , materials science , computer science , engineering , geometry , mathematics , artificial intelligence , computer graphics (images) , programming language
Wire electric discharge machining non-conventional process that removes materials by thermal erosion. Tapering in WEDM has many applications in machining accurate geometric profiles. In the present investigation, a slant type taper machining was performed to produce taper profiles with the help of the slant fixture. The machining parameters such as wire guide distance, corner dwell time, wire offset and cutting speed override was employed to find the variation in the taper profile area. A simple square profile of 1mm, 3mm and 5mm was machined at different slant angles namely 0°, 15° and 30°. It was observed that each parameter yielded different profile areas. The artificial neural network was used for the forecasting the areas of 1mm, 3mm and 5mm square for different parameters. The optimum artificial neural network model was experimentally validated and the errors were ranging from 0-10%.