مدل‏سازی و ‏بهینه‏سازی عملکرد یک ماشین جدا‏کننده تخم کدوی آجیلی با استفاده از روش سطح پاسخ (RSM)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد، گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه کردستان، سنندج، ایران

2 گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه کردستان، سنندج، ایران

چکیده

جدا‏سازی یکی از فرآیند‏های مهم در عملیات پس از برداشت محصولات کشاورزی ‏می‏باشد. یافتن ‏‏روش‏هایی برای کاهش تلفات و جدا‏سازی بهتر ‏تخم کدو‏ از چالش‏های مهم در این زمینه است. هدف از تحقیق حاضر مدل­سازی و بهینه­سازی‌ عملکرد دستگاه جداکننده تخم کدوی آجیلی است. آزمایش­ها با استفاده از روش سطح پاسخ و طرح مرکب مرکزی انجام شدند. نتایج نشان داد پارامترهای قطر چرخ‏دنده محور در واحد جداکننده پوسته، عرض لاستیک‏های ساینده و سرعت دورانی محور توان‏دهی در سطح احتمال 1% و نرخ تغذیه در سطح احتمال 5% بر درصد افت و درصد تمیزی تخم کدو اثر معنی‏داری داشتند. مدل‌های رگرسیونی درجه دوم به منظور پیش­بینی متغیر­های پاسخ ارائه شد. مقادیر بهینه برای متغیر‏های زمان پس از برداشت، قطر چرخ‏دنده، عرض لاستیک‏های ساینده، نرخ تغذیه و سرعت محور توان‏دهی به ترتیب برابر با 3 روز، 184 ‏میلی‏متر، 9/12 ‏سانتی‏متر، 337/18 تن در ساعت و 450 دور در دقیقه به‏دست آمد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Modeling and Optimizing Performance of Pumpkin Seed Separator Machine Using Response Surface Methodology

نویسندگان [English]

  • Taher Hajizadeh 1
  • Samira Zareei 2
  • Jalal Khodaei 2
1 Department of Biosystem Engineering, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
2 Department of Biosystem Engineering, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
چکیده [English]

Separation is one of the important processes in harvesting agricultural products. Finding appropriate methods for improved separation of the seeds and reducing loss of the seeds in the separation devise are important challenges of this field. The aim of this research is to model and optimize performance of pumpkin seed separator machine. Experiments were conducted using response surface methodology and central composite design Results revealed that diameter of the separator shaft gear, width of the frictional belts and speed of the PTO shaft, at 1% probability level, and feed rate, at 5% probability level, have significant effects on seed loss percentage and purity of the seeds. Second-order regression models were presented for predicting response variables. Values of 3 days, 184 mm, 12.9 cm, 18.33 tons h-1 and 450 rpm were outlined as the optimum values of rest after harvest, gear diameter, width of the frictional belt, feed rate and speed of the PTO shaft, respectively.

کلیدواژه‌ها [English]

  • Grain loss
  • Machine capacity
  • Optimal level
  • Performance Evaluation
  • Separating
Abd EL-Hameed, E.M.A. (1994). Studying concave drum factors and operation locally manufactured thresher and their effect on thresher and their effect on threshing efficiency. M.Sc. Thesis in Agricultural Engineering, Faculty of Agricultural, Ain-Shames University.
Abdrabo, A.F.A. (2014). Manufactured prototype to separate the seeds of watermelon pulp, Egyptian Journal of Agricultural Research, 92(1), 237-255.
Abou-Elmagd, A.E., El-Mageed, A.M.A. & Sayed-Ahmed, I.F. (2006). Proper design and evaluation of an equipment for extracting watermelon seeds, Journal of Agricultural Science of Mansoura University, 31(7), 53-68.
Agbetoye, L., Owoyemi, G.O. & Oloko, S. (2013). Design modification and performance evaluation of a melon (Citrullus lanatus) depodding machine, Journal Research Paper Engineering, 2(7), 61-65.
AL-Gaadi, K.A., Marey, S.A. & Sayed-Ahmad, I.F. (2011). Development and performance evaluation of a sammer squash seed extracting machine, Middle-East Journal of Scientific Research, 7(3), 352-361.
Anonymous. (2014 a). The FAOSTAT database. http://faostat.fao.org.
Anonymous. (2014 b). General census report of agricultural section in Iran. Statistical Centre of Iran. http://amar.org.ir. (In Farsi)
Aslan, N. (2007). Application of response surface methodology and central composite rotatable design for modeling the influence of some operating variables of a multi-gravity separator for chromite concentration, Powder Technology, 86, 769–776.
Aviara, N.A., Shittu, S.K. & Haque, M.A. (2008). Development and performance evaluation of a guna seed extractor. Agricultural Engineering International: CIGR Journal, 8, 1-20
Bas, D. & Boyac, I. (2007). Modeling and optimization II: Comparison of estimation capabilities of response surface methodology with artificial neural networks in a biochemical reaction, Journal of Food Engineering, 78, 846-854.
Box, G.E.P. & Draper, N.R. (2007). Response Surfaces, Mixtures and Ridge Analyses. John Wiley and Sons, New York, 857 P.
Chayjan, R. A. & Fealekari, M. (2014). Optimization of convective drying process for persian shallot using response surface method (RSM), Agricultural Engineering International: CIGR Journal, 16(2), 157-166.‏
EL-Desoukey, N.M. (2008). Cleaning unit devlopment of extracting machine for watermelon seeds, Journal of Agriculture and Environmental Sciences, 7(1), 74-95.
Hashemi, A. & Razzaghzadeh, S. (2007). Investigation on the possibility of ensiling cucurbit (cucurbita pepo) residues and determination of best silage formula, Journal of Animal and Veterinary Advances, 6(12), 1450-1452.
Kathleen, M., Carley, N., Kamneva, Y. & Reminga, J. (2004). Response surface methodology. CASOS Technical Report. CMU-ISRI-04, P. 136.
Khuri, A. & Mukhopadhyay, S. (2010). Response surface methodology. WIREs Computational Statistics. 2: 128-149.
Lenth, R.V. (2010). Response-surface methods in R, using rsm, Journal of Statistical Software, 32(7), 1–17.
Mohamed, S.F.A. (2014). Development and evaluation of a local industrial machine for watermelon seeds extraction, Journal of Soil Sciences and Agricultural Engineering, 5(10), 1405-1426.
Montgomery, D.C. (2008). Design and analysis of experiments, 8th edn. John Wiley and Sons, Inc., Hoboken, NJ. 725 P.
Myers, R. H. & Montgomery, D. C. 1995. Response surface methodology process and product optimization using designed experiments, John Wiley and Sons, New York, U.S.A, P. 714.
Oloko, S. & Agbetoye, L. (2006). Development and performance evaluation of a melon depodding machine, Agricultural Engineering International: CIGR Journal, 8(1), 1-10.
Prohens, T. & Nuez, F. (2008). Vegetabels I: Asteraceae, Brassicaceae, Chenopodiaceae and Cucurbitaceae, Springer Science and Business Media, Pp. 318-380.
Raymond, H., Myers, D., Montgomery, D.C. & andeson-Cook, C. (2009). Response surface methodology, process and product optimization using designed experiments. Third Edition. John Wiley and Sons, Inc. U.S.A, 856 P.
Tayel, S.A., EL-Nakib, A.A., Khairy, M.F.A., Kamel, O.M. & Desouky, D.M. (2010). Factors affecting cucurbita pepo crop seed losses and damage by using a seed extracting machine prototype. Misr Journal Agricultural Engineering, 27(3), 824-837.
Wu, C.F.J. & Hamada, M. (2000). Experiments: planning, analysis, and parameter design optimization. Jhon Wiley and Sons. Inc., Singapore, 760 P.