English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Machining performance of extruded Ti-6Al-4 V prosthetic alloy was investigated through electrical discharge machining (EDM) using copper as electrode material. Experimental sequencing followed the Box-Behnken design (BBD) of response surface methodology (RSM). Effects of pulse current ( Ip ), gap voltage ( Vg ) and pulse-on time ( Ton ) on material removal rate (MRR), electrode wear rate (EWR) and average surface roughness ( Ra ) were studied during the process. Increase of MRR and  Ra  was noticed on increasing any of the considered machining parameters. EWR increased on increasing  Ip  and  Ton , but it reduced with increase of  Vg . Regression models were developed and significance of machining parameters was highlighted through analysis of variance (ANOVA). Finally, Taguchi embedded grey relational analysis (GRA) was employed to optimise the responses simultaneously, which resulted the combination of 15 A of pulse current, 30 V of gap voltage and 100 µs of pulse-on time was the optimal parametric combination for the multiple responses.

Machining performance of titanium based prosthetic alloy: a grey relational approach