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Influence of Nozzle Diameter Towards Velocity Distribution in Spray Dryer Via Computational Fluid Dynamics

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Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020

Abstract

Spray drying is commonly used in the chemical and food industries and is the preferred drying process for many materials, such as dairy products, foods, pharmaceuticals, polymers, etc. This research focuses on the effect of the nozzle diameter in the spray drying region against velocity distribution. The results from previous studies have shown that CFD can be a useful tool for predicting the pattern of gas flow and particle histories such as temperature, velocity, time of residence and place of effect. The predictions from these model were validated against reported experimental results, and other simulations. From the simulation analysis, the present studies have identified the performance in the spray dryer through with different size of spray nozzle diameter as the parameter. For the nozzle diameter part, the smaller the spray nozzle diameter, the higher the velocity of the droplets with beneficial to the thermal efficiency of drying particles. The statements finding from the simulation of nine different case study with different nozzle diameter found that the higher velocity has been identified in simulation results due to incomplete vaporize droplets. The main impact of this study is to identify the most optimized condition of the spray dryer chamber after the analysis of the results of simulation data. In conclusion, the design on the chamber has many potential ways to be developed and improved. These findings will benefit the designing of spray dryers.

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References

  1. Kuhnhenn M, Joensen TV, Reck M, Roisman IV, Tropea C (2018) Study of the internal flow in a rotary atomizer and its influence on the properties of the resulting spray. Int J Multiphase Flow 100:30–40

    Google Scholar 

  2. Anandharamakrishnan C (2013) Nano-encapsulation of food bioactive compounds. In: Techniques for nano-encapsulation of food ingredients. In: Springer briefs in food, health, and nutrition. https://doi.org/10.1007/978-1-4614-9387-7_1

  3. van Deventer H, Houben R, Koldeweij R (2013) New atomization nozzle for spray drying. Dry Technol Int J 31:891–897

    Google Scholar 

  4. Keshani S, Wan Daud WR, Nourouzi MM, Namvar F, Ghasemi M (2015) Spray drying: an overview on wall deposition, process and modeling. J Food Eng 146:152–162

    Google Scholar 

  5. Nawi MAM, Kidoguchi Y, Nakagiri M, Uwa N, Nada Y, Miyashiro S (2014) Macro- and micro-scale observation on dynamic behavior of diesel spray affected by ambient density and temperature. SAE Technical Paper 2014-32-0125

    Google Scholar 

  6. Nawi MAM, Kidoguchi Y, Izamshah R, Kasim MS, Khor CY, Jamalludin MR, Faizal Wan Abd Rahim WM, Rosli MU (2018) Observation on dynamic behavior of droplets evaporation after the end-of-injection of diesel spray. In: AIP conference proceedings 2030, pp 020009

    Google Scholar 

  7. Wisniewski R (2015) Spray drying technology review. In: 45th international conference on environmental systems

    Google Scholar 

  8. Masilungan-Manuel JT, Manuel MCE, Lin PT, Soriano AN (2015) Optimization of the drying parameters for the short-form spray dryer producing powdered egg with 20% Tapioca starch additive. Adv Mech Eng 7(9)

    Google Scholar 

  9. Padma Ishwarya S, Anandharamakrishnan C, Stapley AGF (2015) Spray-freeze-drying: a novel process for the drying of foods and bio-products. Trends Food Sci Technol 41(2):161–181

    Google Scholar 

  10. Kuriakose R, Anandharamakrishnan C (2010) Computational fluid dynamics (CFD) applications in spray drying of food products. Trends Food Sci Technol 21(8):383–398

    Google Scholar 

  11. Mezhericher M, Levy A, Borde I (2012) Probabilistic hard-sphere model of binary particle-particle interactions in multiphase flow of spray dryers. Int J Multiph Flow 43:22–38

    Article  Google Scholar 

  12. Orme M (1997) Experiments on droplets collisions, bounce, coalescence and disruption. Prog Energy Comb Sci 23(1):65–79

    Google Scholar 

  13. Gianfrancesco A, Turchiuli C, Dumoulin E (2008) Powder agglomeration during the spray-drying process: measurements of air properties. In: 3rd international spray dried milk conference on dairy science technology, vol 88, no 1, pp 53–64

    Google Scholar 

  14. Fletcher DF, Guo B, Harvie DJE, Langrish TAG, Nijdam JJ, Williams J (2006) What is important in the simulation of spray dryer performance and how do current CFD models perform? Appl Math Model 30(11):1281–1292

    Article  Google Scholar 

  15. Jubaer H, Afshar S, Le Maout G, Mejean S, Selomulya C, Xiao J, Chen XD, Jeantet R, Woo MW (2020) The impact of self-sustained oscillations on particle residence time in a commercial scale spray dryer. Powder Technol 360:1177–1191

    Google Scholar 

  16. Anandharamakrishnan C (2013) Computational fluid dynamics applications in food processing. In: Computational fluid dynamics applications in food processing. Springer Briefs in Food, Health, and Nutrition, pp 1–9. https://doi.org/10.1007/978-1-4614-7990-1_1

  17. Poozesh S, Lu K, Marsac PJ (2018) On the particle formation in spray drying process for bio-pharmaceutical applications: interrogating a new model via computational fluid dynamics. Int J Heat Mass Transf 122:863–876

    Google Scholar 

  18. Langrish TAG, Fletcher DF (2001) Spray drying of food ingredients and applications of CFD in spray drying. Chem Eng Process 40(4):345–354

    Article  Google Scholar 

  19. Azlan R, Izamshah R, Kasim MS, Akmal M, Nawi MAHM (2017) Improvement of machining performance using hybrid rotary ultrasonic milling (HRUAM) for hardened D2 tool steel materials. Int J Appl Eng Res 12(23):13506–13513

    Google Scholar 

  20. Shayfull Z, Hazwan MHM, Nawi MAM, Ahmad M, Mohamad Syafiq AK, Roslan AM (2019) Warpage optimization on battery cover using glowworm swarm optimisation (GSO). In: AIP conference proceedings 2129, pp 020100. https://doi.org/10.1063/1.5118108

  21. Hazwan MHM, Shayfull Z, Nawi MAM, Ahmad M, Mohamad Syafiq AK, Roslan AM (2019) Warpage optimization on battery cover using genetic algorithm (GA). In: AIP conference proceedings 2129, pp 020195. https://doi.org/10.1063/1.5118203

  22. Hanzah MR, Faizal Wan Abd Rahim WM, Khor CY, Ishak MI, Rosli MU, Jamalludin MR, Zakaria MS, Nawi MAM (2017) New approach for quality control in manufacturing process. In: AIP conference proceedings 1885, pp 020069. https://doi.org/10.1063/1.5002263

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Correspondence to M. A. M. Nawi .

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Alias, M.A.R. et al. (2022). Influence of Nozzle Diameter Towards Velocity Distribution in Spray Dryer Via Computational Fluid Dynamics. In: Isa, K., et al. Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020. Lecture Notes in Electrical Engineering, vol 770. Springer, Singapore. https://doi.org/10.1007/978-981-16-2406-3_67

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