Experimental and numerical investigations of particle suspension suppression mechanisms for a particle-suppression device in a stirred liquid bath
Advanced Powder Technology, ISSN: 0921-8831, Vol: 34, Issue: 7, Page: 104077
2023
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Investigators from Northeastern University Report New Data on Engineering (Experimental and Numerical Investigations of Particle Suspension Suppression Mechanisms for a Particle-suppression Device In a Stirred Liquid Bath)
2023 JUL 04 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- Data detailed on Engineering have been presented. According to
Article Description
Particle suspension in a turbulent flow can seriously affect the performance of manufactured products in many industrial processes in which the motion of particles cannot be modeled using the numerical method because of the enormous number of particles. Therefore, in this study, a full-scale computational fluid dynamics (CFD) simulation and a 1/5 scaled-down water model experiment were employed to investigate the flow pattern and dynamic behavior of particles in a continuously stirred vessel system. Based on the understanding of the suspension mechanism of settling particles, a particle-suppression device was designed to realize the harmless movement and deposition of particles. The results showed that the flow guidance and division mechanisms of the particle-suppression device led to the inhibition of particle suspensions. In addition, the optimal parameter combination for the device from the water model experiment combined with the orthogonal experimental design, resulted in a 98.3% reduction in the concentration of suspended particles. The suspension of particles was effectively suppressed, which improves product quality and production efficiency. Reliable results can be achieved by combining CFD simulations and water model experiments.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0921883123001401; http://dx.doi.org/10.1016/j.apt.2023.104077; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85159074589&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0921883123001401; https://dx.doi.org/10.1016/j.apt.2023.104077
Elsevier BV
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