Karn Pana-Suppamassadu
Karn Pana-Suppamassadu has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chaiwat Prapainainar
King Mongkut’s University of Technology North Bangkok
1 shared publication - Goran N. Jovanovic
School of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA
1 shared publication - Nattaporn Chutichairattanaphum1 shared publication
- Phavanee Narataruksa1 shared publication
- Sabaithip Tungkamani
Department of Industrial Chemistry, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
1 shared publication - Thana Sornchamni
PTT Innovation Institute, PTT Public Company Limited, Wang Noi, Phra Nakhon Si Ayutthaya 13170, Thailand
1 shared publication
Latest Publications
- Open Access
- 4 October 2018
- Published by MDPI AG in Preprints.org
Comparison of Raschig Ring Packing Pattern via Mean Resident Time using CFD Particle Tracing Technique: Dry Methane Reforming for Case Study
This paper aims to study the effect of raschig ring packing patterns using Computational Fluid Dynamics (CFD). CFD module of particle tracing was established to measure particles diffusing through the packed bed. The support raschigs catalyst was modeled in three patterns within a tubular reactor – namely, vertical staggered, chessboard staggered and reciprocal staggered pattern. A case study of Dry Methane Reforming (DMR) was investigated at 600°C, 1 atm. The study of Mean Resident Time (MRT) and E(t) function were investigated to identify the packing pattern performance. The results showed that the minimum value of the E(t), which means the flow behavior, was close to ideal plug flow behavior. MRT can be used to systematically identify the deviation from the ideal plug flow reactor of the three different packing patterns.
- 4 October 2018
- Published by MDPI AG in Preprints.org
Open AccessComparison of Raschig Ring Packing Pattern via Mean Resident Time using CFD Particle Tracing Technique: Dry Methane Reforming for Case Study
This paper aims to study the effect of raschig ring packing patterns using Computational Fluid Dynamics (CFD). CFD module of particle tracing was established to measure particles diffusing through the packed bed. The support raschigs catalyst was modeled in three patterns within a tubular reactor – namely, vertical staggered, chessboard staggered and reciprocal staggered pattern. A case study of Dry Methane Reforming (DMR) was investigated at 600°C, 1 atm. The study of Mean Resident Time (MRT) and E(t) function were investigated to identify the packing pattern performance. The results showed that the minimum value of the E(t), which means the flow behavior, was close to ideal plug flow behavior. MRT can be used to systematically identify the deviation from the ideal plug flow reactor of the three different packing patterns.