Modeling and Optimization of Aloe-Vera Static Shearing by Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Methods

Document Type : Original Research

Authors

1 Mechanical Engineering of Bio-systems Department, Razi University, Kermanshah, Iran.

2 Department of Agricultural Machinery Engineering, Sonqor Agricultural Faculty, Razi University, Kermanshah, Iran.

3 Department of Biosystem Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

Abstract

Knowledge of plants' mechanical properties and behavior is one of the essential factors in the design of harvesting and post-harvesting devices. In this study, horticulture, medicinal, and food plants of Aloe Vera were cut using a flat blade. Aloe Vera leaves are cut from the cross-section, and the force and energy required for cutting them were measured using Zwick /roll universal testing machine. The effect of cutting angle (0, 30, and 45 degrees), cutting speed (150, 250, 350, and 450 mm/min), and thickness of Aloe Vera leaves (1, 2, and 3 cm) on the force and energy required for cutting were investigated. To achieve this, response surface methodology was used, the results of which were compared with the artificial neural network method. The results of this study indicated that by increasing the cutting angle, cutting rate (cutting speed), and thickness of the leaves of the Aloe Vera plant, the energy required for its cutting decreased. The most optimal case for cutting the Aloe Vera plant in the case of cutting angle is 45 degrees, the cutting speed is 450 mm/min, and the thickness of Aloe Vera leaves is 3 cm, in which the required energy for cutting and cutting force is equal to 3.45 J and 4.99 N respectively. This study showed that Response Surface Methodology (RSM) is suitable for evaluating optimum conditions in Aloe Vera cutting experiments and is more accurate than the Artificial Neural Network (ANN) method.

Keywords

References

Azadbakht, M., Torshizi, M. V., Ziaratban, A., & Ghajarjazi, E. (2016). Application of Artificial Neural Network (ANN) in predicting mechanical properties of canola stem under shear loading. Agricultural Engineering International: CIGR Journal, 18(2), 413-425.
Bagheri, A. R., Ghaedi, M., Asfaram, A., Jannesar, R., & Goudarzi, A. (2017). Design and construction of nanoscale material for ultrasonic assisted adsorption of dyes: application of derivative spectrophotometry and experimental design methodology. Ultrasonics sonochemistry, 35, 112-123. https://doi.org/10.1016/j.ultsonch.2016.09.008
Cheng, J., Li, Q., & Xiao, R.-c. (2008). A new artificial neural network-based response surface method for structural reliability analysis. Probabilistic Engineering Mechanics, 23(1), 51-63. https://doi.org/10.1016/j.probengmech.2007.10.003
Eliçin, A. K., Sessiz, A., & Pekitkan, F. G. (2019). Effect of various knife type, cutting angle and speed on cutting force and energy of grape cane. Avrupa Bilim ve Teknoloji Dergisi, (15), 519-525. https://doi.org/10.31590/ejosat.532914
Esehaghbeygi, A., Hoseinzadeh, B., Khazaei, M., & Masoumi, A. (2009). Bending and shearing properties of wheat stem of alvand variety. World Applied Sciences Journal, 6(8), 1028-1032.
Horng, J.-T., Liu, N.-M., & Chiang, K.-T. (2008). Investigating the machinability evaluation of Hadfield steel in the hard turning with Al2O3/TiC mixed ceramic tool based on the response surface methodology. Journal of materials processing technology, 208(1-3), 532-541. https://doi.org/10.1016/j.jmatprotec.2008.01.018
Hoseinzadeh, B., & Shirneshan, A. (2012). Bending and shearing characteristics of canola stem. American-Eurasian journal of agricultural & environmental sciences, 12(3), 275-281.
İnce, A., Uğurluay, S., Güzel, E., & Özcan, M. (2005). Bending and shearing characteristics of sunflower stalk residue. Biosystems Engineering, 92(2), 175-181. https://doi.org/10.1016/j.biosystemseng.2005.07.003
Khuri, A. I. (2017). Response surface methodology and its applications in agricultural and food sciences. Biometrics & Biostatistics International Journal, 5(5), 155-163. https://doi.org/10.15406/bbij.2017.05.00141
Maan, A. A., Nazir, A., Khan, M. K. I., Ahmad, T., Zia, R., Murid, M., & Abrar, M. (2018). The therapeutic properties and applications of Aloe vera: A review. Journal of Herbal Medicine, 12, 1-10. https://doi.org/10.1016/j.hermed.2018.01.002
Misir, J., Brishti, F. H., & Hoque, M. (2014). Aloe vera gel as a novel edible coating for fresh fruits: A review. American Journal of Food Science and Technology, 2(3), 93-97. https://doi.org/10.12691/ajfst-2-3-3
Pekitkan, F. G., Eliçin, A. K., & Sessiz, A. (2019). Effects of knives type, cutting angle and loading speed on force and energy requirement of grape cane. Journal of Multidisciplinary Engineering Science and Technology, 6(2), 9552-9556.
Persson, S. (1987). Mechanics of cutting plant material. American Society of Agricultural Engineers.
Prasad, J., & Gupta, C. (1975). Mechanical properties of maize stalk as related to harvesting. Journal of Agricultural Engineering Research, 20(1), 79-87. https://doi.org/10.1016/0021-8634(75)90098-0
Rabbani, H., Sohraby, N., Gholami, R., Jaliliantabar, F., & Waismorady, A. (2015). Determination of mass density module, crush resistance coefficient and cutting efficiency of rose (Rosa Damascene Mill). Scientia Horticulturae,
Azadbakht, M., Torshizi, M. V., Ziaratban, A., & Ghajarjazi, E. (2016). Application of Artificial Neural Network (ANN) in predicting mechanical properties of canola stem under shear loading. Agricultural Engineering International: CIGR Journal, 18(2), 413-425.
Bagheri, A. R., Ghaedi, M., Asfaram, A., Jannesar, R., & Goudarzi, A. (2017). Design and construction of nanoscale material for ultrasonic assisted adsorption of dyes: application of derivative spectrophotometry and experimental design methodology. Ultrasonics sonochemistry, 35, 112-123. https://doi.org/10.1016/j.ultsonch.2016.09.008
Cheng, J., Li, Q., & Xiao, R.-c. (2008). A new artificial neural network-based response surface method for structural reliability analysis. Probabilistic Engineering Mechanics, 23(1), 51-63. https://doi.org/10.1016/j.probengmech.2007.10.003
Eliçin, A. K., Sessiz, A., & Pekitkan, F. G. (2019). Effect of various knife type, cutting angle and speed on cutting force and energy of grape cane. Avrupa Bilim ve Teknoloji Dergisi, (15), 519-525. https://doi.org/10.31590/ejosat.532914
Esehaghbeygi, A., Hoseinzadeh, B., Khazaei, M., & Masoumi, A. (2009). Bending and shearing properties of wheat stem of alvand variety. World Applied Sciences Journal, 6(8), 1028-1032.
Horng, J.-T., Liu, N.-M., & Chiang, K.-T. (2008). Investigating the machinability evaluation of Hadfield steel in the hard turning with Al2O3/TiC mixed ceramic tool based on the response surface methodology. Journal of materials processing technology, 208(1-3), 532-541. https://doi.org/10.1016/j.jmatprotec.2008.01.018
Hoseinzadeh, B., & Shirneshan, A. (2012). Bending and shearing characteristics of canola stem. American-Eurasian journal of agricultural & environmental sciences, 12(3), 275-281.
İnce, A., Uğurluay, S., Güzel, E., & Özcan, M. (2005). Bending and shearing characteristics of sunflower stalk residue. Biosystems Engineering, 92(2), 175-181. https://doi.org/10.1016/j.biosystemseng.2005.07.003
Khuri, A. I. (2017). Response surface methodology and its applications in agricultural and food sciences. Biometrics & Biostatistics International Journal, 5(5), 155-163. https://doi.org/10.15406/bbij.2017.05.00141
Maan, A. A., Nazir, A., Khan, M. K. I., Ahmad, T., Zia, R., Murid, M., & Abrar, M. (2018). The therapeutic properties and applications of Aloe vera: A review. Journal of Herbal Medicine, 12, 1-10. https://doi.org/10.1016/j.hermed.2018.01.002
Misir, J., Brishti, F. H., & Hoque, M. (2014). Aloe vera gel as a novel edible coating for fresh fruits: A review. American Journal of Food Science and Technology, 2(3), 93-97. https://doi.org/10.12691/ajfst-2-3-3
Pekitkan, F. G., Eliçin, A. K., & Sessiz, A. (2019). Effects of knives type, cutting angle and loading speed on force and energy requirement of grape cane. Journal of Multidisciplinary Engineering Science and Technology, 6(2), 9552-9556.
Persson, S. (1987). Mechanics of cutting plant material. American Society of Agricultural Engineers.
Prasad, J., & Gupta, C. (1975). Mechanical properties of maize stalk as related to harvesting. Journal of Agricultural Engineering Research, 20(1), 79-87. https://doi.org/10.1016/0021-8634(75)90098-0
Rabbani, H., Sohraby, N., Gholami, R., Jaliliantabar, F., & Waismorady, A. (2015). Determination of mass density module, crush resistance coefficient and cutting efficiency of rose (Rosa Damascene Mill). Scientia Horticulturae, 190, 144-148. https://doi.org/10.1016/j.scienta.2015.02.009
Sánchez-Machado, D. I., López-Cervantes, J., Sendón, R., & Sanches-Silva, A. (2017). Aloe vera: Ancient knowledge with new frontiers. Trends in Food Science & Technology, 61, 94-102. https://doi.org/10.1016/j.tifs.2016.12.005
Shi, X., Karachi, A., Hosseini, M., Yazd, M. S., Kamyab, H., Ebrahimi, M., & Parsaee, Z. (2020). Ultrasound wave assisted removal of Ceftriaxone sodium in aqueous media with novel nano composite g-C3N4/MWCNT/Bi2WO6 based on CCD-RSM model. Ultrasonics sonochemistry, 68, 104460. https://doi.org/10.1016/j.ultsonch.2019.01.018
Sohrabi, N., Mohammadi, R., Ghassemzadeh, H. R., & Heris, S. S. S. (2021). Equilibrium, kinetic and thermodynamic study of diazinon adsorption from water by clay/GO/Fe3O4: Modeling and optimization based on response surface methodology and artificial neural network. Journal of Molecular Liquids, 328, 115384. https://doi.org/10.1016/j.molliq.2021.115384
Subasree, S., & Murthykumar, K. (2016). Effect of aloe vera in oral health-A review. Research Journal of Pharmacy and Technology, 9(5), 609-612. https://doi.org/10.5958/0974-360X.2016.00116.5
Tavakoli, M., Tavakoli, H., Azizi, M., & Haghayegh, G. (2010). Comparison of mechanical properties between two varieties of rice straw. Advance Journal of Food Science and Technology, 2(1), 50-54.
Yiljep, Y., & Mohammed, U. (2005). Effect of knife velocity on cutting energy and efficiency during impact cutting of sorghum stalk. Agricultural Engineering International: the CIGR EJournal, 7, 1-10.
Biomechanism and Bioenergy Research
Volume 3, Issue 2 - Serial Number 6
December 2024
Pages 110-122

Files

History

  • Receive Date: 21 October 2024
  • Revise Date: 06 November 2024
  • Accept Date: 13 November 2024

Share

How to cite

Statistics