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

In this paper the particle swarm optimization technique is applied to experimental results in order to optimize the turning of unidirectional glass fiber reinforced plastics composite with consideration to the material removal rate. Taguchi’s L18 orthogonal array is used to conduct experimentation. The parameters considered are tool nose radius, tool rake angle, feed rate, cutting speed, cutting environment (dry, wet, cooled) and depth of cut. ANOVA is used to find out significant parameters (feed rate, cutting speed and depth of cut). The most significant parameters are feed rate and cutting speed. The maximum value of material removal rate is found to be 394.33mm 3 /sec., which is at feed rate (0.200 mm/rev), cutting speed (159.58 m/min) and depth of cut (1.3996 mm). PSO is an efficient and effective optimization tool for finding the optimum machining parameters for maximizing MRR. The results give a positive indication of the potential offered by PSO.

Optimization of the Material Removal Rate in Turning of UD-GFRP using the Particle Swarm Optimization Technique