摘要：The constrained applications of conventional machining processes in generating complex shape
geometries with the desired degree of tolerance and surface finish in various advanced engineering
materials are being gradually compensated by the non-traditional machining (NTM) processes.
These NTM processes usually have higher procurement, maintenance, operating and tooling cost.
Hence, in order to attain their maximum machining performance, they are usually operated at their
optimal or near optimal parametric settings which can easily be determined by the application of
different optimization techniques. In this paper, 133 international research papers published during
2012-16 on parametric optimization of NTM processes are extensively reviewed to have an idea
on the selected process parameters, observed responses, work materials machined and optimization
techniques employed in those processes while generating varying part geometries for their industrial
use. It is observed that electro discharge machining is the mostly employed NTM process,
applied voltage is the identified process parameter with maximum importance, surface roughness
and material removal rate are the two maximally preferred responses, different steel grades are the
mostly machined work materials and grey relational analysis is the most popular tool utilized for
parametric optimization of NTM processes. These observations would help the process engineers
to attain the machining performance of the NTM processes at their fullest extents for different
work material and shape feature combinations.
关键词：Non;traditional machining process
Response
Process parameter
Work material
Optimization
