Abstract
This article explores the acceleration of discharge speed through the introduction of nanoparticles. Utilizing simulations based on the Galerkin method, the study has developed and examined the effects of various variables. The utilized tank has been equipped with fin and additives with various shape factor (m) and volume fraction (φ) have been dispersed into water. The denser mesh near the ice front was considered in each time stage involving adaptive grid approach. Also, a validation test was presented to illustrate the precision of modeling. Contours and curves for different ranges of parameters were exemplified in results. The quickest process takes 641.19s while the longest process takes 877.17s. Increasing m causes conductivity to increase and speed of process enhances about 6.96 %. Moreover, augmenting the value of φ makes period of process reduce about 26.9 %.
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