Initial Feasibility Tests

Approximately 4 MT of farmers' stock peanuts from the 2014 peanut crop were stored in each four 1/10-scale farmers' stock warehouses (Butts et al. 2006). Peanuts were unloaded from the four warehouses on 5 May 2016. Approximately one-half the peanuts were unloaded from each warehouse by manually scooping peanuts with a 19-L bucket from the warehouse and pouring them into a pallet bin conveyor belt then transferred into a peanut drying trailer (Fig 5). The remaining peanuts in each warehouse were unloaded using one of two prototype peanut vacs (Model 6614 or Model 7816, Walinga, Fergus, ON/Canada). The peanut vac was a PTO-driven combination type pneumatic conveying system (Fig 6). Air and peanuts were drawn into a 15-cm intake tube and conveyed into a cyclone separator equipped with a hydraulically-driven airlock valve. The peanuts drop out of the airstream in the cyclone separator. The air continues into a second cyclone separator to remove any remaining dust and into the intake of the PTO-driven positive displacement blower. The blower discharges the clean air through a muffler and into the discharge duct. An airlock valve at the bottom of the first cyclone rotates and allows the peanuts to fall into the discharge air stream and are conveyed into a waiting trailer. Four 2-kg samples were collected manually from each warehouse as it was unloaded and prior to the peanuts entering the peanut vac intake. An additional four 2-kg samples were collected from each warehouse as peanuts were discharged from the peanut vac into the trailer. The time to fill the trailer with the peanut vac was recorded. The tare and gross weights of each of the four trailers was recorded. Farmers' stock grade factors were determined by Alabama Federal-State Inspection Service. Grade factors from before and after transfer by the peanut vac were compared using analysis of variance.

Fig. 5.

Manually unloading farmers' stock peanuts from the 1/10-scale warehouses.

Fig. 6.

Annotated photograph of a PTO-driven peanut vac showing flow of peanuts into the intake pipe, into the cyclone separator, through the airlock valve and into the discharge airstream.

Commercial Tests

Based on initial feasibility tests, the Model 7816 was chosen and modified for the commercial tests. The peanut vac manufacturer increased the diameter of the inlet pipe from 15 to 18 cm, the diameter of the airlock valve to 56 cm, and the capacity of the positive displacement blower, and modified the shape and configuration of the exit of the discharge into the trailer. The commercial prototype peanut vac (Model 7816DLX Peanut-Vac, Walinga, Fergus, ON/Canada) and a 107kW tractor (Model 6125R, John Deere, Moline, IL/USA) was transported and used at two commercial peanut warehouses. At each warehouse, hopper-bottom trucks typically used to haul farmers' stock peanuts were loaded using a bucket loader and conveyor belt or the peanut vac. At the warehouse located in Ashburn, GA a skid-steer loader (Model 262C, Caterpillar, Peoria, IL or similar) with a bucket capacity of approximately 0.5 MT was used to load trucks. An articulated front-end loader (Model 644K, John Deere, Moline, IL or similar) with a bucket capacity of approximately 1 MT was used at the warehouse located in Colquitt, GA. Both warehouses were on the same premises as the shelling plant. The time required to fill a truck was recorded for at least three trucks for each loading method at each location. Once the truck was filled, it proceeded to the scales where the gross weight was recorded. The truck was then sampled according to Federal-State Inspection protocol using the pneumatic sampler three times. Each sample was evaluated according to farmers' stock inspection guidelines (USDA 2017). At least eight trucks were graded for each method of loading. Grade data and loading times were analysed using analysis of variance for means separation.

Initial Feasibility Tests

The loading rate using the peanut vacs ranged from 19.9 to 27.5 MT/h (Table 1) during the feasibility tests. While using the Model 6614 peanut vac, a considerable and unacceptable number of peanut hulls were observed in the peanuts discharged into peanut wagon. The apparent high volume of peanut hulls would normally indicate a high percentage of LSK being generated during the transfer process. Therefore, a decision was made to use the Model 7816 peanut vac on the three remaining warehouses. While no statistical inferences can be made regarding the load-out rate, the Model 7816 transferred peanuts at an average rate of 27.2 MT/hr. Peanuts were transferred at a rate of 19.9 MT/hr using the Model 6614 peanut vac.

Table 1.

Logistics of unloading the peanuts from warehouses for the initial feasibility of using a peanut vac for handling farmers' stock peanuts.

Analysis of variance with grade factors and loan value parameters as the dependent variables was performed using warehouse, unload method, and repetition as the main effects. The analysis indicated that the data for warehouses 1, 2, and 3 (unloaded with the Model 7816) should be analysed separately from warehouse 4 which was unloaded using the Model 6614 peanut vac. (Table 2). When unloading with the Model 6614 peanut vac, the LSK, sound mature kernels (SMK), and sound splits (SS) were significantly different than those transferred manually. The peanut vac increased LSK by approximately 5% compared to those manually transferred to the peanut wagon. It was also noted that SMK were approximately 3% lower and the SS were approximately 4% higher in the peanuts transferred pneumatically. There was no significant difference in the total SMK (TSMK = SMK + SS). However, when used to determine the farmers' stock loan value prior to deductions, the peanuts transferred using the Model 6614 were $16 lower in value than the peanuts transferred manually. This difference in value increased to about $19/MT when deducts for excessive FM and SS were included.

Table 2.

Grade factors and farmers' stock loan value of peanuts unloaded from 1/10-scale warehouses manually and using peanut vacs.

In the remaining three warehouses unloaded using the Model 7816 peanut vac, similar differences in grade and value were observed, but not to the same degree. LSK were 1.6% higher in the pneumatically loaded peanuts compared to those manually transferred. This indicated that the larger airlock valve among other design differences between the two conveyors was beneficial in reducing the mechanical damage and provided insight to the manufacturer for modifications needed for the commercial prototype.

Commercial Tests

Tests at commercial farmers' stock warehouses were conducted in Dec 2016 and Jan 2017. At the first warehouse, the co-operator's conventional method for unloading the warehouse utilized the skid-steer loader. Unloading had been underway for at least a day and the bulkhead was removed and the skid-steer loader was operating inside the farmers' stock warehouse. The peanut vac was set up on the other end of the warehouse so that both unloading methods could be used simultaneously. The drawport in the bulkhead was opened and the peanut vac intake hose inserted into the open drawport (Fig. 7). Peanuts continuously flowed into the intake.

Fig. 7.

Peanut vac in use to unload farmers' stock peanuts from the warehouse into the truck during testing to compare capacity and mechanical damage with conventional warehouse unloading systems.

There was no significant difference (𝜶 = 0.05) in the percent FM or LSK that could be attributed to the method of loading the truck when comparing the conventional skid-steer loader to the peanut vac (Table 3). The moisture content of the peanuts loaded by the skid-steer loader was 0.7% drier than those loaded using the peanut vac and that is most likely due to location in the warehouse. The skid-steer was loading peanuts from well within the interior and the peanuts being loaded by the peanut vac were from near the exterior wall during these tests. There was no difference in the sound mature kernels (SMK) due to the loading method, but the peanuts loaded with the peanut vac had 2.8% higher split kernels. The other official grade factors for runner peanuts were not significantly different. However, the percent cracked and broken peanut pods is an important factor for virginia type peanuts that are roasted and sold in-shell. Approximately 29% of the peanuts transferred using the pneumatic conveyor were cracked and broken compared to 16% of the peanuts loaded using the skid-steer loader.

Table 3.

Grade factors and load out rate using a peanut vacuum^a to unload peanuts from a farmers' stock warehouse compared to using skid-steer and articulated bucket loaders.

The skid-steer loader was able to load farmers' stock peanuts at an average rate of 121 MT/h compared to 75 MT/hr using the peanut vac. This is equivalent to the skid-steer loading 21 MT into a truck once every 10.5 min compared to it taking 17 min to load the truck with the pneumatic conveyor.

At the second location, an articulated front-end loader was used to load trucks. Again, the equipment was positioned so that both the bucket loader and the peanut vac could be used simultaneously. Trucks loaded by the articulated bucket loader had more FM (5.3%) and LSK (7.5%) than those loaded with the peanut vac (2.4 and 4.3%, respectively). The moisture content of the peanuts was similar because both loaders were extracting peanuts from the interior of the warehouse. The percent SMK was slightly higher, 66% compared to 63%, for peanuts loaded using the peanut vac. Splits were numerically higher, but not significantly different, in the trucks loaded using the front-end loader. The TSMK was only slightly higher (1.6%) in the trucks loaded using the peanut vac. The differences in SMK, SS, and TSMK could have been due to the spatial variability of the peanuts within the warehouse. The percent cracked and broken pods was not measured at the second warehouse due to miscommunication.

The time required to load a truck using the peanut vac was considerably longer than that required when using the articulated front-end loader. The front-loader could load 21MT on a truck in about 5 min. The peanut vac required an average of 25 minutes. The pneumatic loader was slower at the second location (51.5 MT/hr) than at the first location (75 MT/hr). At the first location, the loading rate was limited primarily by the rate at which the peanut vac could convey the peanuts away from the pile as they flowed toward the drawport gate. In the second warehouse, the intake hose was inside the warehouse near the floor and the flowrate was limited primarily by the rate at which the peanuts would flow down the pile to the vac intake. The intake hose was continuously having to be repositioned to maintain maximum flow.

If the data for both types of bucket loaders are combined as conventional methods for unloading farmers' stock warehouses, then general performance of the peanut vac can be compared to the conventional method (Table 4). Only those performance factors whose means are significantly different due to load-out method are shown. On average, the trucks loaded using the peanut vac tended to have lower FM and LSK. Indicating that a significant portion of material being loaded using conventional methods may be getting crushed. The pneumatic conveyor is removing some additional dirt and other material through the high air velocity in the first cyclone and then dropping it out in the second cyclone.

Table 4.

Comparison of grade factors and load-out performance using conventional farmers' stock warehouse unloading equipment and pneumatic conveyors.

The performance data show that conventional methods of loading out the warehouse can average approximately 187 MT/hr filling a truck about once every 8 min compared to the peanut vac loading a truck every 22 min. If a 25-MT/hr shelling plant is being supplied from a single warehouse, conventional unloading equipment may be necessary to make sure that loading trucks during an 8-hr workday can supply the shelling plant for a full 24-h shift. If the same shelling plant is being supplied from two or more farmers' stock warehouses, then the peanut vacs could adequately maintain the required plant feed rate.

The peanut vac requires approximately 60kW (85 hp) supplied to the PTO to operate properly and therefore must be accompanied by an appropriate sized tractor or have a dedicated power unit. If a dedicated power unit were used, then small vehicles could be used to tow the peanut vac and a trailer with the associated intake piping. The time to set up the peanut vac is less than 30 min and unloading could begin within 30 min of initial arrival. Conventional unloading equipment requires at least two vehicles as well, one to tow the belt conveyor and a second with a trailer capable of hauling either the skid-steer or the larger front-end loader. The latter may require a commercial driver license (CDL). The bin which accepts the peanuts from the loader and empties onto the conveyor belt may also have to be transported from warehouse to warehouse. Upon arrival at the warehouse, an electrician may be required to wire the conveyor's electric motor to a service disconnect.

Depending on how many warehouses are simultaneously used to feed a peanut shelling plant, the loading capacity of the peanut vac may be adequate to fulfil the need. Many times, a shelling plant will draw from multiple warehouses to mitigate the impact of a mechanical failure at any one warehouse on their ability to continuously shell peanuts. In this case, warehouses may only load out 8 to 10 trucks per day. Having the capacity of the articulated front-end loader in this case would likely result in considerable amounts of equipment idle time. The peanut vac may improve clean out when the warehouse is nearly empty and may reduce the risk of an operator puncturing the sheet metal wall or damage to the entrance doors or bulkheads.

Each warehouse operator will have to evaluate the circumstances under which they operate and unload their warehouses. Conventional front-end loaders and conveyor belts, the potato handling equipment, and the peanut vac may all have their niche applications. This research provides data upon which to base their decisions.