Parameters analysis in wire electrical discharge machine process of titanium alloys with dielectric alumina

It is difficult to machine conventional titanium for alloys, sintered titanium due to its Extremely precise strength, corrosion resistance and consider enormous applications in aerospace elements. Wire Cut Electric Machining has been among the most non-traditional methods. in the world due to its...

Full description

Bibliographic Details
Main Authors: Sapit, Azwan, Shather, Saad Kariem, Abed, Farook Nehad
Format: Article
Language:English
Published: Elsevier 2021
Subjects:
Online Access:http://eprints.uthm.edu.my/6921/1/P13844_4ec2e865f263d43ef119db7111770d02.pdf
Description
Summary:It is difficult to machine conventional titanium for alloys, sintered titanium due to its Extremely precise strength, corrosion resistance and consider enormous applications in aerospace elements. Wire Cut Electric Machining has been among the most non-traditional methods. in the world due to its unique nat�ure in produces components that are difficult to machine such as, Titanium, carbide tungsten and Inconel, etc. In the current work, the machining on alloys titanium using dielectric Nanopowder alumina(Al203) on the machine is studied for electrical discharge wire cutting. Wire cut electrical discharge machines have different input Pulse on time, pulse off time, peak current, and sparkling gap voltage, such as mate�rial removal rate (MRR) and surface roughness (SR) to investigate the output response. In this context, an design of experimental (DOE), based on Box Behnken Design (BBD) (4 factors, level 2), was applied to test the machining capability of titanium. Machining parameters like a pulse on time, pulse off time, peak cur�rent and distance tension have an immense effect on output reactions and these input parameters pro�vide optimum conditions to obtain the best output reactions using a Box Behnken Design. It is found that the intensity of the process dielectric fluid pressure with nanopowder to have much of an influence on the improved surface roughness the highest value was obtained in the material removal rate (6.08 mm3 /min), as well as the surface roughness(2.87 lm), and this is considered an improvement rate of 95% according to the statistical analysis (ANOVA).