Development of a Cashew Nut Fryer with a Suitable Agitator Design Process and Frying Color Detection System

Authors

  • Amnad Tongtib Faculty of Industrial Technology, Uttaradit Rajabhat University, Uttaradit, Thailand
  • Apisak Phromfaiy Faculty of Industrial Technology, Uttaradit Rajabhat University, Uttaradit, Thailand
  • Prapon Ruttanatri Faculty of Education, Chiang Mai University, Chiang Mai, Thailand
  • Chawalit Khanakornsuksan Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, Thailand

Keywords:

Frying Machine, Cashew Nuts, Design, Agitator, Color Detection System

Abstract

Background and Objectives: Frying cashew nuts requires experienced workers to stir the nuts in hot oil to maintain the nut temperature in the frying pan and to determine when to stop the process based on the desired nut color, hence reducing the risk of poor-tasting products. The objective of this research was therefore to develop a cashew nut fryer by designing a suitable agitator arrangement and integrating a color detection system to monitor the color of the nuts.

Methodology: A model that can be used to simulate the agitator to determine the fluid distribution pattern was devised. Then, the appropriate agitator rotational speed for frying was determined by calculating the coefficient of variation. The color measurement system was developed and utilized to capture the nut color in CIE L*a*b* color space to classify the level of fried cashew nuts from the images collected during the frying process.

Main Results: Installing an additional agitator beneath the main agitator and adjusting its orientation angle relative to the main agitator axis, bringing it closer to the pan surface, could improve the fluid distribution around the center of the pan. The results from testing the prototype show that the coefficient of variation at all five agitator rotation speeds dropped below 30 percent within the first minute. The color measurement system results indicate that the a* and b* values tended to increase as frying progressed toward completion, while the L* value tended to decrease.

Conclusions: The additional agitator improved fluid distribution across the pan. The coefficient of variation from testing on the prototype was below 30 percent within the first minute at all agitator rotation speeds. The color measurement system successfully classified the fried cashew nuts into three levels: beginning, medium, and proper frying. When cashew nuts were fried with the aid of the temperature control system and color detection system, the recommended frying time was found to be 8 minutes, resulting in a suitable product color for consumption.

Practical Application: The results from this research can be applied to other fryers or stirring machines that require product classification based on color.

References

Phermkorn, P., Khunatorn, Y. and Attanatho, L., 2021, "Analysis of Mixing Capability in Stirred Tank Reactor Using Computational Fluid Dynamics," Engineering Journal Chiang Mai University, 28 (1), pp. 30-44. (In Thai)

Chandrasekaran, M., Santhanam, V. and Venkateshwaran, N., 2021, "Impeller Design and CFD Analysis of Fluid Flow in Rotodynamic Pumps," Proceedings of Materials Today, 37, pp. 2153-2157.

Torotwa, I. and Changying, J., 2018, "Mixing Performance of Counter-Axial Flow Impeller Using Computational Fluid Dynamics," International Journal of Current Engineering and Technology, 8 (2), pp. 283-289.

Jingze, L., Dongrong, M. and Xun, Q., 2020, "Numerical Investigation of Flow Field and Energy Loss in a Centrifugal Pump as Turbine," Hindawi: Shock and Vibration, 2020 (1), pp. 1-12. http://doi.org/10.1155/2020/8884385.

Lahamornchaiyakul, W., 2021, "Designing and Flow Field Analysis of Agitation Turbine Using Numerical Simulation," Journal of Engineering and Innovation, 14 (1), pp. 105-144. (In Thai)

Ibroheng, P. and Ni-oh, P., 2019, "Numerical CFD Simulation Flow of Radial Impellers in Reactor Tanks for Durian Peel Synthesis," Princess of Naradhiwas University Journal, 11 (3), pp. 128-139. (In Thai)

Adebukola, A.A. and Patrick, O.A., 2019, "Development and Evaluation of a Fish Feed Mixer," CIGR Journal, 21 (3), pp. 226-233.

Balami, A.A., Adgidzi, D. and Mua’zu, A., 2013, "Development and Testing of an Animal Feed Mixing Machine," International Journal of Basic and Applied Science, 1 (3), pp. 491-503.

Apisak, P. and Pitak, K., 2017, "Use of Image Processing to Classify Ripeness Level of Long Lub-Lae Durian via Evaluation of Its Peel Color," KMUTT Research and Development Journal, 40 (2), pp. 189-202. (In Thai)

Worapon, M., Apisak, P. and Wattanapong, J., 2024, "Classification of Coffee Beans Color Level during Roasting by Feed Forward Back Propagation Neural Network," The Journal of King Mongkut's University of Technology North Bangkok, 34 (3), pp. 1-11. http://doi.org/10.14416/j.kmutnb.2022.09.006. (In Thai)

Chantasit, K., Muisee, K. and Jittapatanakhun, S., 2021, "Development of Mangosteen Stirrer Machine with Semi – Automatic Temperature Controller for Ban Tha Sara Community Enterprise, Thamai District, Chanthaburi Province," Rajabhat Rambhai Barni Research Journal, 12 (1), pp. 58-67. (In Thai)

Dechaumphai, P., 2016, Computational Fluid Dynamics by Finite Element and Finite Volume Methods, 3rd ed., Chula Press, Bangkok, pp. 37-43.

Amnad, T. and Pongtorn, W., 2022, "Design and Test of Horizontal Rice Mixer with Ribbon Stirring Blade," Academic Journal Uttaradit Rajabhat University, 17 (2), pp. 37-54. (In Thai)

Xu, R. and Wunsch, D., 2005, "Survey of Clustering Algorithms," IEEE Transactions on Neural Networks, 16 (3), pp. 645-678. http://doi.org/10.1109/TNN.2005.845141.

Jain, A.K., 2010, "Data Clustering: 50 Years Beyond K-means," Pattern Recognition Letters, 31 (8), pp. 651-666. https://doi.org/10.1016/j.patrec.2009.09.011.

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Published

2025-03-26

How to Cite

Tongtib, A., Phromfaiy, A. ., Ruttanatri, P. ., & Khanakornsuksan, C. . (2025). Development of a Cashew Nut Fryer with a Suitable Agitator Design Process and Frying Color Detection System. Science and Engineering Connect, 48(1), 53–68. retrieved from https://ph04.tci-thaijo.org/index.php/SEC/article/view/7843

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Research Article