Study on concentration distribution and detonation characteristics for non-axisymmetric fuel dispersal

Zeng, Linghui; Wang, Zhongqi; Chen, Xing; Li, Jianping

doi:10.1016/j.dt.2023.03.008

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…To master the technology for cloud morphology control, many scholars have explored the influence of the structure of the cloud dispersal device on cloud dispersal, founded on the idea that the shell structure of the device directly influences the size of the cloud [4][5][6]. Currently, most cloud dispersal devices adopt cylindrical shell structures [7], and the actual cloud dispersal is a dynamic process, resulting in an umbrella-shaped cloud.…”

Section: Introductionmentioning

confidence: 99%

Study on Multi-Scale Cloud Growth Characteristics of Frustoconical Dispersal Devices

Zhou,

Li,

Jiang

et al. 2024

Processes

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This study aims to understand cloud growth behavior and enhance cloud safety and reliability by investigating the design of cloud dispersal devices. Based on the experimental results and simulation results, this study analyzes the dispersion characteristics of cloud materials within a frustoconical device with a semi-cone angle ranging from 0° to 10° across multiple scales. The collision aggregation model for cloud particles and the multi-scale coupling mechanism for cloud growth are established. The research shows that the semi-cone angle of the device extends the effective cloud growth duration and enlarges the cloud macroscopic size. At the mesoscopic scale, vortex phenomena are observed, causing particles to converge within the cloud, resulting in collisions and aggregation. The vortices enhance the continuity of the cloud concentration. The magnitude of these vortices demonstrates a positive correlation with the magnitude of the semi-cone angle of the dispersal device. For a macroscopically stable cloud, the high-concentration area within the cloud moves outward radially with an increase in the semi-cone angle. This study provides a theoretical foundation for cloud morphology control technology, contributing to enhancing the safety and reliability of cloud systems.

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Section: Introductionmentioning

confidence: 99%