A tube heat transfer prediction model considering static friction coefficient of dense particle flow. (15th May 2023)

• Record Type: Journal Article
• Authors: Shen, Yingkai; Sun, Peng; Zhang, Zhongliang; Wang, Youtang; Zheng, Bin
• Is Part Of: International journal of heat and mass transfer. Volume 205(2023)
• Publication Date: 2023-05-15
• Subjects: Prediction correlation -- Dense particle flow -- Particle static friction coefficient -- Heat transfer; MBHE moving bed heat exchanger -- p-p particle to particle -- p-w particle to wall; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2023.123902
• Languages: English
• ISSNs: 0017-9310

Abstract

Highlights: Heat transfer of dense particle flow around the heat exchange tube is presented. Effect of particle properties on heat transfer is presented. A heat transfer prediction formula considering static friction coefficient is presented. Providing particle heat recovery design basis and improving efficiency. Abstract: Particulate material is an important heat transfer medium in industry. The heat transfer process of dense particle flow around tubes has important applications in industrial waste heat and solar energy conversion. However, rapid prediction of particle heat transfer processes is still worth investigating, especially when the particle flow is affected by the coefficient of friction. A heat transfer model of dense particle flow around a tube was established, the effects of particle size, density and static friction coefficient on the heat transfer characteristics were explored, and a heat transfer prediction equation considering the static friction coefficient was constructed originally. The results show that the particle size has the most significant effect on the heat transfer. As the particle size increases from 2 mm to 4 mm, the average effective heat transfer coefficient of the tube decreases from 262.35 W/(m 2 ·K) to 217.31 W/(m 2 ·K). The effect of particle density on the heat transfer is reflected in the difference in the heat capacity of the particles, and has little effect on the flow of the particles. The particle static friction coefficient mainly affects heat transfer by affecting the flow state of the particle flow. The average contact number decreases from 63.9 to 38.9. The relative error of the modified model is reduced from 8.9% to 3.78%.