Numerical Study and Parameter Optimization of a Dual-jet Based Large Particle Collection System for Deep-sea Mining
Publish place: Journal of Applied Fluid Mechanics، Vol: 17، Issue: 10
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
View: 73
This Paper With 13 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JAFM-17-10_012
تاریخ نمایه سازی: 13 مرداد 1403
Abstract:
A dual-jet collecting device is highly efficient at picking up small-sized polymetallic nodules; however, its performance is not as effective for large nodules in deep-sea mining. To address this problem, numerical simulations have been conducted to thoroughly investigate the flow characteristics and particle motions during the collection of larger nodules. The collection performance of the enhanced device is analyzed across varying front jet velocities (Vf), suction pressures (Pout), and nozzle heights (h/d). The results reveal that increasing Vf improves the drag force and particle velocity in the jet impingement and upwelling zones, facilitating nodule lifting movement and transport. However, increasing Pout reduces the drag forces in these zones while increasing the particle velocity in the upwelling zone. A large Pout is not conducive to nodule initiation but has benefits for transport. Increasing h/d reduces the drag force in the anti-gravity direction in the jet impingement zone. The improved collecting device attains a pick-up efficiency that exceeds ۸۰% for large-sized nodules when h/d < ۱.۳. The pick-up efficiency with suction pressure, which remains ۴۰%, is higher than that without suction pressure when h/d > ۱.۳. The research findings may shed light on the design of more efficient dual-jet collection systems.
Keywords:
Authors
Y. Z. Jin
Zhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, ۳۱۰۰۱۸, China
Q. K. Yao
Zhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, ۳۱۰۰۱۸, China
Z. C. Zhu
Zhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, ۳۱۰۰۱۸, China
X. M. Zhang
Zhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, ۳۱۰۰۱۸, China
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :