Guidelines to adjust particle size distributions by wet comminution of a bioactive glass determined by Taguchi and multivariate analysis
authors Ben-Arfa, BAE; Salvado, IMM; Frade, JR; Pullar, RC
nationality International
author keywords Ball milling; Weibull fitting; Bimodal; Multimodal; Particle size distribution (PSD); Sol-gel derived glass
abstract A quaternary bioactive glass of high silica content was used as a model system for flexible design of powder characteristics obtained by ball milling. The dependence on milling time was used to demonstrate consistency with the expected correlation between comminution and cumulative kinetic energy of impacting balls. Additional experiments were based on Taguchi planning of simultaneous changes in milling time, balls-to-powder ratio and ethanol-to-powder ratio, with ethanol used as a process control agent (PCA) to prevent agglomeration and to seek greater flexibility in the design of powder distributions. Plausible physical mechanisms allowed us to obtain improved fitting by multivariate analysis, based on log-log scales. Normal distribution was found to be well-suited to describe the actual particle size distributions, which are very positively skewed. Weibull distributions provided good fitting, mainly by considering the three different contributions from particles in small, medium and large size ranges. These contributions are affected differently by ball milling parameters, as demonstrated by finer analysis. This yields suitable conditions for a flexible design of asymmetric powder size distributions (i.e. bimodal or skewed), in addition to a decrease in average particle size - both highly significant factors when designing glass-ceramic powders for robocasting and additive manufacturing.
issn 0272-8842
isbn 1873-3956
year published 2019
volume 45
issue 3
beginning page 3857
ending page 3863
digital object identifier (doi) 10.1016/j.ceramint.2018.11.057
web of science category Materials Science, Ceramics
subject category Materials Science
unique article identifier WOS:000456225900118
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