Mathematical Modelling of Shrimp Drying by Microwave Assisted Hot Air

Authors

  • Mongkolchai Kampagdee Faculty of Engineering and Architecture Rajamangala University of Technology Isan
  • Maitee Phonsongkarm

Abstract

This article aims to study kinetics, Specific electric power and Mathematical equations predict the results of drying the shrimp in a microwave assisted hot air. Experimental conditions for 3 levels of microwave density is 3, 4.5 and 6 W/g and hot air temperature 3 levels is 50, 60 and 70 ˚C at air velocity of 1 m/s. The results showed that the rate of moisture reduction increased with an increase in drying temperature and microwave power. It can shorten the drying time, resulting in lower specific energy consumption. Furthermore, the mathematical model used to predict changes in moisture ratios, Page mathematical model gave the most appropriate predictions due to the highest coefficient of determination values range from 0.970880765 to 0.999938775 and the lowest chi square range from 0.000045511 to 0.021275109  Keyword: Drying of shrimp; convection; Microwave; mathematical modeling

Author Biography

Mongkolchai Kampagdee, Faculty of Engineering and Architecture Rajamangala University of Technology Isan

Mr mongkolchai kampagdeeLecturer of Agricultural Machinery Engineering Department Rajamangala University of Technology IsanGraduated with Ph.D. Mechanical Engineering Mahasarakham University

References

AOAC (1995). AOAC Official Methods of Analysis. (16th ed.), Association of official Agricultural Chemists, Washington DC.

Agbede, O.O., Oke, E.O., Akinfenwa, S.I., Wahab, K.T., Ogundipe, S., Aworanti, O.A., Arinkoola, A.O., Agarry, S.E., Ogunleye, O.O., Osuolale, F.N., & Babatunde, K.A. (2020). Thin layer drying of green microalgae (Chlorella sp.) paste biomass: Drying characteristics, energy requirement and mathematical modeling. Journal of Bioresource Technology Reports,11, 100467.

Bruce, D.M. (1985). “Exposed-layer barley drying three model fitted to new data up to 150 ˚C. Journal of Agricutural Engineering Research, 32, 337-347.

Chen, A., EL.Achkar, G.,BinLiu, B., & Bennacer, R. (2021). Experimental study on moisture kinetics and microstructure evolution in apples during high power microwave drying process. Journal of food engineering, 292,1-7.

Das, I., & Arora, A. (2018). Alternate microwave and convective hot air application for rapid mushroom drying. Journal of Food Engineering, 223, 208-219.

Diamante, L.M., & Munro, P.A. (1993). Mathematical modeling of the thin layer solar drying of sweet potato slices. Solar Energy, 51, 271-276.

Doymaz, I. (2004). Convective air drying characteristics of thin layer carrots. Journal of Food Engineering, 61, 359-364.
Funebo, T., & Ohlsson, T. (1998). Microwave-assisted air dehydration of apple and mushroom, Journal of Food Engineering, 38(3), 353-367.

Hao, W., Zhang, H., Liu, S., Mi, B., & Lai, Y. (2020). Mathematical modeling and performance analysis of direct expansion heat pump assisted solar drying system. Journal of Renewable Energy, 165(1), 77-87.

Hassan, J., Davood, K., Mohsen, A. (2018). Energy consumption and qualitative evaluation of a continuous band microwave dryer for rice paddy drying. Journal of Energy, 142, 647-654.
Hayaloglu, A.A., Karabulut, I., Alpaslan, M., & Kelbaliyev, G. (2007). Mathematical modeling of drying characteristics of strained yoghurt in a convective type tray-dryer. Journal of Food Engineering, 78, 109–117.

Jalal, D., & Seyed-Hamed, H. (2018). Multi-stage continuous and intermittent microwave drying of quince fruit coupled with osmotic dehydration and low temperature hot air drying. Journal of Innovative Food Science and Emerging Technologies, 45, 132-151.

Kavak Akpinar E. (2008). Mathematical modelling and experimental investigation on sun and solar drying of white mulberry. Journal of Mechanical Science and Technology, 22, 1544-1553.

Kumar, C. &, Karim, M.A. (2019). Microwave-convective drying of food materials: A critical review. Critical Reviews in Food Science and Nutrition, 59 (3) , 379-394

Kumar, P.G.D., Hebbar, H.U., & Ramesh, M.N. (2006). Suitability of thin layer models for infrared-hot-air-drying of onion slices, Journal of LWT – Food Science and Technology, 39, 700-705.

Midilli, A., Kucuk, H., & Yapar, Z. (2002). A new model for single- layer drying. Drying Technology, 20(7), 1503-1513.

Shen, L.Y., Zhu, Y., Liu, C., Wang, L., Liu, H., Kamruzzaman, M., Liu, C., Zhang, Y., & Zheng, X. (2020). Modelling of moving drying process and analysis of drying characteristics for germinated brown rice under continuous microwave drying. Journal Biosystems Engineering,195, 64-88.

Song, C., Wang, Y., Wang, S., Cui, Z., Xu, Y., & Zhu, H. (2016). Non-uniformity investigation in a combined thermal and microwave drying of silica gel. Journal of Applied Thermal Engineering, 98, 872-879.

Tirawanichakul, Y., & Tirawanichakul, S. (2008). Mathematical model of fixed-bed drying and strategies for crumb rubber producing STR20. Drying Technology, 26, 1388-1395.

Togrul, I.T., & Pehlivan, D. (2002). Mathematical modeling of soar drying of apricots in thin layers. Journal of Food Engineering, 55, 209-216.

Xiao-hui G., Chun-yan, X., Yu-rong, T., Long, C., & Jian, M., (2014). Mathematical Modeling and Effect of Various Hot-Air Drying on Mushroom (Lentinus edodes). Journal of Integrative Agriculture, 13(1), 207-216.
Wang, C.Y., & Singh R.P. (1978). A single layer drying equation for rough rice. ASAE paper.No. 78-3001, St Joseph, Michigan.

Downloads

Published

2022-09-27