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

The mechanical properties of the particulate reinforced composites are profoundly affected by two significant factors, fraction of reinforcement in the matrix and the distribution of the reinforced particles in the matrix. In this paper, a novel approach is adopted where a newly developed distribution index and area fraction of the composites are quantitatively determined through microstructural image analysis method, and the process parameters are optimised for maximum area fraction and minimum distribution index. The distribution index ( D  index ) is calculated by estimating the free-path spacing within particles. The stir casting process parameters (stirrer rpm, time of stirring, furnace temperature and preheat temperatures) are optimised by Box-Behnken design of response surface methodology. The quantitatively assessed responses provide an authentic base for optimisation of process parameters. The experimental responses corresponding to the optimised parameters are within the range of the responses estimated by the confirmation test of optimisation with a 95 % confidence level.

Multi-Parametric Optimisation by Quantitative Assessment of Distribution Index and Area Fraction of Composite