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Modeling and Optimization of Aloe-Vera Static Shearing by Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Methods | ||
| Biomechanism and Bioenergy Research | ||
| دوره 3، شماره 2 - شماره پیاپی 6، اسفند 2024، صفحه 110-122 اصل مقاله (931.25 K) | ||
| نوع مقاله: Original Research | ||
| شناسه دیجیتال (DOI): 10.22103/bbr.2024.24251.1096 | ||
| نویسندگان | ||
| Hekmat Rabbani1؛ Rashid Gholami* 2؛ Negin Sohrabi3 | ||
| 1Mechanical Engineering of Bio-systems Department, Razi University, Kermanshah, Iran. | ||
| 2Department of Agricultural Machinery Engineering, Sonqor Agricultural Faculty, Razi University, Kermanshah, Iran. | ||
| 3Department of Biosystem Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Aloe-Vera؛ Cutting Force؛ Cutting Energy؛ RSM؛ ANN | ||
| مراجع | ||
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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
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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
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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
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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
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