Open AccessA contribution concerning trends in modelling of Wire-micro EDM of Titanium alloys- A review
Author(s) -
Rajesh Kumar Porwal,
Ranu Maurya
Publication year - 2019
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/653/1/012011
Subject(s) - machining , electrical discharge machining , materials science , brass , aerospace , mechanical engineering , titanium alloy , process (computing) , metallurgy , nimonic , manufacturing engineering , computer science , engineering , alloy , superalloy , copper , operating system , aerospace engineering
The era is shifting towards the manufacturing idea of converting raw form of material into finalized part in minimum step and lesser machining operation. Manufacturing processes like 3D printing and additive manufacturing are achieving the criteria but they requires high capital investment and are sophisticated in its operation which need next to zero possibility of error. Alloying of materials yield high derivative properties like hardness, temperature resistance and extreme strength to weight ratio like in Titanium, Nickel and their alloys and super alloys. Specialized feature at micro level, complex and intricate geometries in the part are difficult to produce via traditional machining processes than non-contact machining process at cost effectiveness. This paper reviews the modelling related studies done in the processing of Titanium alloys through Wire-micro electrical discharge machining (Wire-μEDM) process. Most of the research done in the Wire EDM domain, experimented with the wire of copper and brass with diameter range in microns, thus resulting micro-machining phenomenon. Since Ti alloys find the most of the applications in field of aerospace, automobile, nano tech due to excellent performance at elevated temperature and pressure, than other alloying materials. The summarized should provide an overview on modelling techniques used by the re-searchers for measuring and predicting the parametric values for the optimization of WEDM process.