Study on Optimization Parameters of Solid-Liquid Separator
M Shi, D Huang, M Zhang, Z Huang, S Guo - IEEE Access, 2020 - ieeexplore.ieee.org
M Shi, D Huang, M Zhang, Z Huang, S Guo
IEEE Access, 2020•ieeexplore.ieee.orgIn order to achieve solid-liquid separation and recycling of drilling fluid during petroleum
drilling, a new type of solid-liquid separation device was designed and developed to
achieve high-efficiency solid-liquid separation and low cost. The working principle of the
equipment was introduced, the mechanical model was established, and the sieve flow of
drilling fluid and the movement of wet particles in the real situation were analyzed. The
relationship between the processing capacity of the solid-liquid separator and the speed of …
drilling, a new type of solid-liquid separation device was designed and developed to
achieve high-efficiency solid-liquid separation and low cost. The working principle of the
equipment was introduced, the mechanical model was established, and the sieve flow of
drilling fluid and the movement of wet particles in the real situation were analyzed. The
relationship between the processing capacity of the solid-liquid separator and the speed of …
In order to achieve solid-liquid separation and recycling of drilling fluid during petroleum drilling, a new type of solid-liquid separation device was designed and developed to achieve high-efficiency solid-liquid separation and low cost. The working principle of the equipment was introduced, the mechanical model was established, and the sieve flow of drilling fluid and the movement of wet particles in the real situation were analyzed. The relationship between the processing capacity of the solid-liquid separator and the speed of the solid phase in the drilling fluid and the speed of the excitation motor and the rotary drum were given. Multi-objective evolutionary algorithm was used to solve the multi-objective optimization model. Two typical evolutionary algorithms NSGA-II and MOEA/D were analyzed. An algorithm that solves this problem was selected and improved. A series of optimal solution sets for this problem were obtained by using the improved multi-objective evolutionary algorithm. Finally, based on the experimental prototype of the solid-liquid separator, a functional experiment was performed on the basis of the calculated optimal solution set. The experimental results show the feasibility of the multi-objective optimization model and algorithm.
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