Abstract

A prediction method of drying behaviors for five types of additives droplets based on Reaction Engineering Approach and single droplet drying was introduced in this study. The experimental measurement results showed that the density, viscosity and surface tension of these droplets were in the range of 1.16–1.56 g / m L , 12.86 × 10 − 2 –142.25 × 10 − 2 P a ⋅ s and 35.23–52.05 m N / m , respectively. The volume change rate and drying rate were calculated using machine vision and image processing. The results showed that the volume change rate and the drying rate were in the range of 0.05–16.83 and 1.83 × 10 −3 –7.21 × 10 −3 g / m i n for these five types of additives droplets. The theoretical results showed that the Reynolds number and apparent activation energy ( Δ E v ) were in the range of 0.42–3.54 and 1.88–4.27 k J / m o l for these droplets. The linear relation between heating temperature and Δ E v was established as Δ E v = 111.58 T h − 4709.84 (R 2 = 0.998), indicating that the heating temperature plays a leading role. The prediction method can be applied as a simplified and accurate model to predict drying behaviors based on material specific properties. • The phase transition phenomenon was quantitatively analyzed by using Reaction Engineering Approach. • Drying behavior of additives was studied by single droplet drying using machine vision and image processing. • Heating temperature plays a leading role in the single droplet drying experiment. • Significant linear relationship was found between temperature and apparent activation energy.

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