Temperature and Air Velocity Simulation on Sago Starch Pneumatic Conveying Recirculated Dryer Using Ansys Fluent

https://doi.org/10.22146/agritech.18251

Abadi Jading(1*), Nursigit Bintoro(2), Lilik Sutiarso(3), Joko Nugroho Wahyu Karyadi(4)

(1) Jurusan Teknologi Pertanian, Fakultas Teknologi Pertanian, Universitas Papua, Jl. Gunung Salju, Amban, Manokwari, Papua Barat 98314
(2) Departemen Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(3) Departemen Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(4) Departemen Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(*) Corresponding Author

Abstract


Pneumatic Conveying Recirculated Dryer (PCRD) is one of many driers used for drying wet sago starch. The most important components of this PCRD machine are the vertical pipe and the u-bend. The vertical pipe and the u-bend are the primary drying spaces. They must have a good temperature distribution and air velocity dryer. To observe the process of temperature distribution and the air velocity dryer in the vertical pipe and u-bend, Computational Fluid Dynamics (CFD) analysis is required. The research was aimed to analyze the temperature distribution and the air velocity dryer flow in the recirculated pipe of PCRD machine by using CFD analysis. The analysis was based on the variance of the temperature, the air velocity, and the height of the vertical pipe in PCRD machine. The analysis was conducted using Ansys Workbench Fluid Flow ver. 15. This software was used to simulate the temperature and the air flow velocity in the vertical pipe and the u-bend. However, the flow characteristics and patterns of the wet sago starch were not included in the discussion. The turbulence model used in the simulation was the Reynold Stress Models (RSM). The result of the simulation showed that the temperature along the vertical pipe and the u-bend was distributed evenly. The error value between the result of the simulation and the observation was low (0.10–2.04%). The average test value with paired t-test showed that the simulation and observation result was not significantly different. This results indicated that the simulation fit well with the observation value or the real condition in the PCRD machine. The distribution of the temperature and the air velocity dryer in the vertical pipe and the u-bend were able to reduce the moisture content on sago starch from 31% (wb) to 9% (wb). Therefore, the vertical pipe and the u-bend design was appropriate to use in PCRD machine for drying wet sago starch.

Keywords


Ansys fluent; computational fluid dynamics; pneumatic conveying recirculated dryer; sago starch; temperature

Full Text:

PDF


References

Anisum, Bintoro, N., & Goenadi, S. (2016). Analisis distribusi suhu dan kelembaban udara dalam rumah jamur (kumbung) menggunakan Computational Fluid Dynamics (CFD ). Agritech, 36(1), 64–70.

Badan Standar Nasional (BSN). (2008). Tepung Sagu Kering. Jakarta, Indonesia.

Bhattarai, S., Oh, J. H., Euh, S. H., Kim, D. H., & Yu, L. (2014). Simulation study for pneumatic conveying drying of sawdust for pellet production. Drying Technology, 32, 1142–1156. https://doi.org/10.1080/07373937.2014.884575.

Caroko, N., & Suyitno. (2008). Perbandingan model turbulen spalart-Allmaras dan Reynolds stress model pada analisis efisiensi dan rugi tekanan siklon. Jurnal Semestas Teknika, 11(2), 199–206.

Dyah, W., Nelwan, L. O., Kamaruddin, A., & Indra, A. S. (2003). Analisis distribusi suhu dan kecepatan aliran udara dalam ruang pengering berenergi surya menggunakan CFD. Buletin Keteknikan Pertanian, 17(1), 68–76.

El-Behery, S. M., El-Askary, W. A., Hamed, M. H., & Ibrahim, K. A. (2013). Eulerian–Lagrangian simulation and experimental validation of pneumatic conveying dryer. Drying Technology, 31(12), 1374–1387. https://doi.org/10.1080/07373937.2013.796483.

Fluent, A. (2013a). Ansys Fluent 15.0 Tutorial Guide. Ansys INC (Vol. 15317). https://doi.org/10.1016/0140-3664(87)90311-2.

Fluent, A. (2013b). Ansys Fluent R15 Users Guide. USA: Ansys Inc. Retrieved from www.ansys.com.

Hidayat, M., & Rasmuson, A. (2007). A computational investigation of non-isothermal gas-solid flow in a U-bend. Powder Technology, 175(2), 104–114. https://doi.org/10.1016/j.powtec.2007.01.024.

Jading, A., Bintoro, N., Sutiarso, L., & Karyadi, J. N. (2016). Analisis efisiensi pneumatic conveying recirculated dryer untuk pengeringan bahan-bahan tepung. In Partoyo, Y. . Ratih, D. Mulyanto, & S. Wuryani (Eds.), Seminar Nasional Fakultas Pertanian UPN Veteran Yogyakarta (pp. 370–378). Yogyakarta: Fakultas Pertanian UPN Veteran Yogyakarta.

Jamaleddine, T. J., & Ray, M. B. (2011). Drying of sludge in a pneumatic dryer using computational fluid dynamics. Drying Technology, 29(3), 308–322. https://doi.org/10.1080/07373937.2010.496095.

Kornev, N. (2013). Mathematical Modeling of Turbulent Flows. Rostock Germany. Retrieved from www.lemos.uni-rostock.de/fileadmin/MSE_lemos/Lehre/Turbulence/TurbulenceDraft_of_future-manuscrift.pdf.

Norton, T., & Sun, D. (2006). Computational fluid dynamics (CFD) – an effective design and analysis tool for the Food industry: Review. Trends in Food Science & Technology, 17, 600–620.

Singh, R. P., & Heldman, D. R. (2009). Introduction to Food Engineering (Fourth). Amsterdam: Elsevier.

Skuratovsky, I., Levy, A., & Borde, I. (2005). Two-dimensional numerical simulations of the pneumatic drying in vertical pipes. Chemical Engineering and Processing: Process Intensification, 44(2), 187–192. https://doi.org/10.1016/j.cep.2004.02.012.

Tuakia, F. (2008). Dasar-dasar CFD Menggunakan Fluent (Pertama). Bandung: Informatika.

Yani, A., Suhardiyanto, H., Hasbullah, R., & Purwanto, B. P. (2007). Analisis dan simulasi distribusi suhu udara pada kandang sapi perah menggunakan Computational Fluid Dynamics (CFD). Media Peternakan, 30(3), 218–228.



DOI: https://doi.org/10.22146/agritech.18251

Article Metrics

Abstract views : 2502 | views : 2392

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2018 Abadi Jading, Nursigit Bintoro, Lilik Sutiarso, Joko Nugroho Wahyu Karyadi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

agriTECH has been Indexed by:

Emerging Source Citation Index Directory of Open Access Journals CABI.org Dimensions Google Scholar Sinta Garuda

agriTECH (print ISSN 0216-0455; online ISSN 2527-3825) is published by Faculty of Agricultural Technology, Universitas Gadjah Mada in colaboration with Indonesian Association of Food Technologies.

website statisticsView My Stats