دانشگاه سمنان

 آمار

تعداد نشریات21
تعداد شماره‌ها678
تعداد مقالات9,886
تعداد مشاهده مقاله70,054,060
تعداد دریافت فایل اصل مقاله49,326,338
Parvaz, Farzad, Nikbakht Naserabad, Sadegh, Dorfeshan, Masoud. (1404). Gas Cyclone Performance Prediction: A State-of-the-Art Review of Theoretical Modeling Approaches. هنرهای کاربردی, (), -. doi: 10.22075/jhmtr.2025.37145.1693
Farzad Parvaz; Sadegh Nikbakht Naserabad; Masoud Dorfeshan. "Gas Cyclone Performance Prediction: A State-of-the-Art Review of Theoretical Modeling Approaches". هنرهای کاربردی, , , 1404, -. doi: 10.22075/jhmtr.2025.37145.1693
Parvaz, Farzad, Nikbakht Naserabad, Sadegh, Dorfeshan, Masoud. (1404). 'Gas Cyclone Performance Prediction: A State-of-the-Art Review of Theoretical Modeling Approaches', هنرهای کاربردی, (), pp. -. doi: 10.22075/jhmtr.2025.37145.1693
Parvaz, Farzad, Nikbakht Naserabad, Sadegh, Dorfeshan, Masoud. Gas Cyclone Performance Prediction: A State-of-the-Art Review of Theoretical Modeling Approaches. هنرهای کاربردی, 1404; (): -. doi: 10.22075/jhmtr.2025.37145.1693

Gas Cyclone Performance Prediction: A State-of-the-Art Review of Theoretical Modeling Approaches

Journal of Heat and Mass Transfer Research
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 04 آبان 1404
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.22075/jhmtr.2025.37145.1693
نویسندگان
Farzad Parvaz* 1؛ Sadegh Nikbakht Naserabad* 2؛ Masoud Dorfeshan3
1Department of Mechanical Engineering, Semnan University, P. O. Box 35131-191, Semnan, Iran
2Energy Engineering Department, Faculty of Gas & Petroleum, Yasouj University, Gachsaran, Iran.
3Department of Mechanical Engineering, Faculty of Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran
تاریخ دریافت: 27 اسفند 1403،  تاریخ بازنگری: 17 شهریور 1404،  تاریخ پذیرش: 04 آبان 1404 
چکیده
Existing investigation presents numerous theoretical frameworks for analyzing conventional gas cyclones, focusing on key performance indicators (KPIs) such as inlet velocities, pressure drop, and collection efficiency. These KPIs are critical in industries where understanding the transport and behavior of solid particles is paramount. Traditionally, predicting the complex swirling gas flow within these cyclones has relied on empirical studies, which are both resource-intensive and time-consuming. While theoretical models offer a potentially more efficient and cost-effective approach, they have received comparatively less attention in previous investigations of overall gas cyclone performance. This research endeavors to rigorously evaluate the accuracy of established gas separator theories. The methodology involves comparing theoretical predictions with numerical simulations and experimental data obtained at a controlled solid loading rate of 1 g/m3, across velocities of 5 and 10 m/s. A notable consensus emerged, favoring Muschelknautz's approach for predicting collection efficiency. Similarly, the Lapple and Shepherd model demonstrated utility in estimating pressure drop under conditions of low solid loading. However, several scholars have highlighted discrepancies arising from the influence of wall friction within gas cyclones and a general insensitivity to the particle phase within these models. This section provides an overview of the published CFD simulation studies on cyclones, specifically examining the effects of high particle loading, at room and at high temperatures. Furthermore, the Mothes and Löffler model was identified as capable of accurately predicting the natural vortex length, a critical parameter for the design and optimization of conventional gas cyclones.
کلیدواژه‌ها
Gas cyclone approaches؛ Pressure drop؛ Collection efficiency؛ Particle flow؛ Flow pattern
آمار
تعداد مشاهده مقاله: 452


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب