Simulation of flow and drying characteristics of high-moisture particles in an impinging stream dryer via CFD-DEM

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Khomwachirakul P., Devahastin S., Swasdisevi T., Soponronnarit S.

ผู้เผยแพร่: Taylor and Francis Group

ปีที่เผยแพร่ (ค.ศ.): 2016

วารสาร: Drying Technology (0737-3937)

Volume number: 34

Issue number: 4

หน้าแรก: 403

หน้าสุดท้าย: 419

จำนวนหน้า: 17

นอก: 0737-3937

eISSN: 1532-2300

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954285187&doi=10.1080%2f07373937.2015.1081930&partnerID=40&md5=0be9c7e249d9ee5ab3f7aaef8099fc03

ภาษา: English-Great Britain (EN-GB)

ดูในเว็บของวิทยาศาสตร์ | ดูบนเว็บไซต์ของสำนักพิมพ์ | บทความในเว็บของวิทยาศาสตร์

บทคัดย่อ

Impinging stream dryer (ISD) is an alternative for drying high-moisture particulate materials. Due to the complex multiphase transport phenomena that take place within an ISD, use of a reliable computational model instead of a tedious experimental route to aid the design of the dryer is desirable. In the present study, computational fluid dynamics were used in combination with the discrete element method (CFD-DEM) to predict, for the first time, the multiphase transport phenomena within a coaxial ISD; results from a model that does not consider particle-particle interactions (CFD) were also obtained and compared with those from the CFD-DEM model. In all cases, high-moisture particles having negligible internal transport resistance were assumed. Both models were used to simulate the gas-particle motion behavior, particle mean moisture content, particle mean residence time, and particle residence time distribution. The simulated results from both models were compared with the experimental data whenever possible. The results showed that the CFD-DEM model could be utilized to predict the particle motion behavior and led to more physically realistic results than the CFD model. The CFD-DEM model also gave predictions that were in better agreement with the experimental mean particle residence time and moisture content data. ฉ 2016, Copyright ฉ Taylor & Francis Group, LLC.

คำสำคัญ

CFD-DEM, ISD, particle-particle interactions, pneumatic drying, residence time distribution, transport phenomena