The invention discloses an argillaceous sandstone
uranium ore particle size gradient grading method based on online particle size detection. The method comprises the following steps: ore crushing; first-stage
rotational flow classification is carried out, and the classification
cutting particle size is N1; scrubbing and stripping; second-stage
rotational flow classification is carried out, and the classification
cutting particle size is N2; on-line sampling and particle size detection are carried out at an overflow port of the first-stage swirling flow field and an overflow port of the second-stage swirling flow field, when particles larger than N2 are lower than M1, materials are conveyed to a fine ore pulp
storage pool, otherwise, the materials return to a primary pulp
pool or are scrubbed and stripped, and the pulp
inlet pressure of a
slurry pump is adjusted; on-line sampling and particle size detection are carried out at an underflow port of a second-stage swirling flow field, when particles smaller than N2 are smaller than M2, high-frequency linear
dehydration is carried out after the materials are output, otherwise, scrubbing and stripping are carried out, and the
slurry inlet pressure of a second-stage
slurry pump and the size of the underflow port of the second-stage swirling flow field are adjusted. The online particle size detection in the mud sand gradient separation and grading process of the argillaceous sandstone
uranium ore can be realized, a positive and
negative feedback intelligent regulation and
control system is coupled, input parameters in the technological process are intelligently optimized, and the grading and separation precision and quality are ensured.