Abstract: Aiming at solving the problem that results from unevenly mixing two-component materials and inadequately deaerating air and thus affects the product quality, base for chaotic mixing theory, a large asymmetric geometric impeller is adopted herein to periodically change the speed of stirring process for consolidating mixing efforts. Based on computational fluid mechanics, characteristics of flow field are researched in order to study the structure of flow field, pressure distribution, and speed distribution in slot under constant speed and variable speed condition, respectively. Also, based on machine vision and image processing techniques, the bubble features of mixed materials can be on-line detected during mixing process and the detecting result can be used as feedback signal for automatically eliminating bubble. The experiment shows that the proposed method can actually evenly mix the high-viscosity two-component material and automatically eliminate the bubble, thus presenting a feasible solution to the problem of unevenly mixing high-viscosity two-component material and inadequately deaerating air .

Key words: A large asymmetric geometric impeller, Agitating deaeration, Machine vision, Vacuum casting