Demand for advanced materials, possessing, and better properties is always
there in the multi-disciplinary fields of automotive, aerospace and medical applications
requires advanced machining processes. Wire electric discharge machining (WEDM) is
a promising non-traditional machining method utilized extensively to machine
materials with varying hardness and intricate shapes with great accuracy and precision.
A WEDM is a non-contact process, involves the removal of material in the form of
spark erosions. DC electrical sparks are constantly generated between the wire
electrode and the workpiece to achieve desired shape on the component. The input
variable such as pulse-on-time, pulse-off-time, wire speed, servo voltage and flushing
pressure can be tuned and controlled in order to optimize the machining process
responses. The aim of this study is to identify the significant effects of process
parameters on MRR, TWR, SR and surface morphology of titanium nickel memory
alloys. Additionally, areas have been recognized that require intense research
considerations. Future aspects of WEDM are also presented.
Keywords: Artificial neural network (ANN), Design of experiment (DOE),
Electron back scatter diffraction (EBSD), Energy dispersive spectroscopy (EDS),
Metal removal rate (MRR), Scanning electron microscopy (SEM), Surface
roughness (SR), Transmission electron microscopy (TEM), Wire electric
discharge machining (WEDM).
