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1 Dynamic Simulation Model for tracking grain lots in an elevator AE 503 Term Project Maitri Thakur Agricultural and Biosystems Engineering May 2, 2007
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2 Food Traceability ISO definition Traceability is the “ability to trace the history, application, or location of that which is under consideration.” A grain of wheat or a truckload A standard location size (field, farm, or county) A list of processes that must be identified (pesticide applications or animal welfare)
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3 Food Traceability Respond to security threats Respond to food safety problems Document chain-of-custody Document production practices (e.g. organic) Meet consumer desires or social preferences Provide due diligence for safety/quality assurance Protect integrity of brand name Authenticate claims (e.g. Bordeaux wine)
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4 Traceability ? February 2007: Peter Pan Peanut Butter Product Recall Salmonella Outbreak March 2007: Simply Fresh Fruit Inc. Recall of Fresh Cut Fruit Trays: Possible Salmonella Contamination March 2007: Frito-Lay Recall of 2 oz. Bags of Fritos Original Corn Chips: Undeclared Milk and Wheat March 2007: Recall of Pet Foods Manufactured by Menu Foods, Inc. (Melamine found in wheat gluten) September 2006: FDA Warning on Serious Foodborne E.coli Outbreak in Several States Source: Food and Drug Administration
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5 Movement of grains for export in the U.S. Source: U.S. Grains Council
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6 Traceability in Bulk Grain Handling Source A Source B Source C Common Storage Silo Manufacturing Plant Cookies Source: Food and Drug Administration
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7 Problem Statement Grain lots commingled: To meet buyer specifications as close as possible and to maximize the profit. Lot identity is not maintained. Recent experiences with regulatory issues have introduced a growing need to track product identity Grain elevators facing the problem of having to segregate their incoming products in batches of different end use quality (e.g. GMO and non-GMO)
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8 Storage Bin- Grain Flow Methods FIFO – First In, First Out Mass Flow LIFO – Last In, First Out Funnel Flow NIFO – Next In, First Out Simultaneous Bin emptying and filling with Funnel Flow Source: Hazardous Occupations Safety Training in Agriculture
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9 Objective The objective of this project is to build a dynamic simulation model that tracks individual grain lots in the outbound load from a grain bin following funnel flow
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10 Grain and Bin Specifications Shape : Cylindrical, Flat- bottom, Bottom-draw Diameter (D): 15 feet (4.6 m) Opening diameter (d) : 30 cm (0.3 m) Grain : Soybeans Angle of Repose (Θ) : 35° Coefficient of friction (c) : 0.3 Bulk Density (ρ) : 770 Kg/m 3
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11 m1sm1sm1sm1s m1gm1g x Fc m1m1 m2m2 m2sm2sm2sm2s h ρgAh D d Grain Forces
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12 Differential Equations Forces acting on m 1 : m 1 g + ρgAh – F c - F c =m 1 d 2 x/dt 2 ……. (1) where, m 1 = Mass of load 1 g = Acceleration due to Gravity ρ = Bulk Density of Grain A = Surface area of mass m 2 h = Height of mass m 2 Fc = Frictional Force = cdx/dt c = Coefficient of friction of grain x = Displacement of mass m 1
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13 Differential Equations dm 1 /dt = ρAdx/dt ……. (2) Σ Q = -dm 1 /dt + 2*dm 1s /dt + dm 2 /dt = 0 dm 2 /dt = dm 1 /dt – 2*dm 1s /dt ……. (3) m 1 s : f (c, dx/dt, Θ ) m 1s = k*(cdx/dt)*cos Θ k = 10
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14 Differential Equations c 1 = m 1 /(m 1 +m 2 ) ……. (4) c 2 = m 2 /(m 1 +m 2 ) ……. (5) where, c 1 = Proportion of mass m 1 in outbound load c 2 = Proportion of mass m 2 in outbound load
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15 Model Inputs and Outputs Inputs Mass of load 1 (m 1 ) Mass of load 2 (m 2 ) Outputs Proportion of load 1 in outbound load (c 1 ) Proportion of load 2 in outbound load (c 2 )
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16 Simulink Model
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17 Inputs 1. m 1 = 2000 bu and m 2 = 2000 bu 2. m 1 = 2000 bu and m 2 = 1000 bu 3. m 1 = 2000 bu and m 2 = 500 bu
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18 Results m 1 = 2000 bu, m 2 = 2000 bu
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19 m 1 = 2000 bu, m 2 = 1000 bu Results
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20 Results m 1 = 2000 bu, m 2 = 500 bu
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21 Conclusions Proportions of loads m 1 and m 2 in the outbound load can be determined at any given time At t = 0: Proportion of m 1 = 1 and Proportion of m 2 = 0 Proportion of m 1 decreases and m 2 increases with increasing time (FUNNEL FLOW). As m 2 empties out, proportion of m 1 starts increasing exponentially till it reaches an equilibrium value Profiles of c 1 and c 2 vary depending on m 1 and m 2
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22 Further Development More grain loads Experimental determination of flow dynamics – Relation with Angle of Repose Model applicable for different grains LIFO (Real world application) Simultaneous filling and emptying
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23 Thank you for your attention !
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