Abstract
The most frequently used method includes the gravity field-flow separation and thermal field-flow separation. By analyzing the influence of velocity of carrier flow on the separation effect of gravity field flow, we can know that the movement track of particle in different carrier liquid elution speed was significantly different when the external carrier liquid was continuously injected into the gravity field-flow separation channel, so the additional lift force generated by the thermal field was used to enhance the driving lift force of particles in carrier liquid and the effect of field-flow separation, and thus to achieve the gravity thermal coupling field-flow separation. In order to ensure the accuracy of field-flow separation, the computer vision detection system was used to detect the separation effect of gravity thermal coupling field flow. In this process, the symmetrical encryption optimization algorithm based on 3D cat mapping was used to realize image encryption through image scrambling and image mixing, so as to ensure the integrity of image. Experimental results show that the gravity thermal-coupled field-flow separation method based on symmetric encryption algorithm can separate the starch particles with different sizes effectively, which is suitable for the purification of powdery particles.
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