Prediction Model for Wheat Grain Losses in Header of Simulator by Using Dimensional Analysis Approach

Document Type : Research Article

Authors

• R. Karmulla Chaab ¹
• S. H. Karparvarfard ¹
• M. Edalat ²
• H. Rahmanian- Koushkaki ¹

¹ Department of Biosystems Engineering, College of Agriculture, Shiraz University, Shiraz, Iran

² Crop Production & Plant Breeding Department, College of Agriculture, Shiraz University, Shiraz, Iran

https://doi.org/10.22067/jam.v8i1.59277

Abstract

Introduction
One of the problems which considered in recent years for grain harvesting is loss of wheat during production until consumption and tenders the offers for prevention of its especially in harvesting times by combine harvesting machine. Grain harvesting combines are good examples of an operation where a compromise must be made. One would expect increased costs because of natural loss before harvesting, because of cutter bar loss, because of threshing loss, because of greater losses over the sieve and because of the reduced forward speed necessary to permit the through put material to feed passed the cylinder. The ability to recognize and evaluate compromise solutions and be able to predict the loosed grain is a valuable trait of the harvesting machine manager. By understanding the detailed operation of machines, be able to check their performance, and then arrive at adjustments or operating producers which produce the greatest economic return.
Voicu et al. (2007) predicted the grain loss in cleaning part of the combine harvester by using the laboratory simulator based on dimensional analysis method. The obtained model was capable to predict the grain loss perfectly.
Soleimani and Kasraei (2012) designed and developed a header simulator to optimize the combine header in rapeseed harvesting. Parameters of interest were: forward speed, cutter bar speed and reel index. The results showed that all the factors were significant in 5% probability. Also in the case of forward speed was 2 km h^-1, cutter bar speed was 1400 rpm and reel index was 1.5, the grain loss had minimum quantity.
The main purpose of this research was to develop an equation for predicting grain loss in combine header simulator. Modeling of the header grain loss was conducted using dimensional analysis approach.
Effective factors on grain loss in combine header unit were: forward speed, reel speed and cutter bar height.

Materials and Methods
For studying the effective parameters on head loss in grain combine harvester, a header simulator with the following components was built in Biosystems Engineering Department of Shiraz University.

Reel unit
The reel size was 120 cm length and 100 cm diameter. This reel was removed from an old combine header and installed on a fixed bed. For changing the rotational speed of the reel, an electrical inverter (N50-007SF, Korea) was used.

Cutter bar unit
The cutter bar length was 120 cm. Knifes were installed on this section. Reciprocating motion was transmitted to the cutter bar through a slider crank attached to a variable speed electric motor (1.5kw, 1400 rpm, Poland). The motor was fixed on the bed.

Feeder unit
This section was consisted of a rail and a virtual ground. This ground was a tray that the wheat stems were staying on it manually. The rail was the path of virtual ground.
Treatments consisted of three levels of rotational speed of reel (21, 25 and 30 rpm), three levels of forward speed of virtual ground (2, 3 and 4 km h^-1), three levels of cutter bar height (15, 25 and 35 cm) and three replications. In other words, 81 tests were done. The basis of choosing levels of treatments was combine harvester manuals and driver’s experiences.
The dependent variable (H.L) was calculated as below:
(1)
Where L.G is the mass of loss grains and H.G is the mass of harvested grains.

Results and Discussion
Generally results of ANOVA test showed that the cutter bar height, rotational speed of reel and forward speed had significant effect on head loss. Also interaction of rotational speed and forward speed, cutter bar height and forward speed had significant effect on head loss. These findings were based on Soleimani and Kasraei (2012) research. Therefore, the cutter bar height, rotational speed of reel and forward speed were three independent parameters on head loss as a dependent parameter.
By results of laboratory data, the equation for predicting grain loss by header simulator was obtained.

Conclusion
The statistical results of F- test in 5% probability showed that there were no significant difference between measured and predicted amounts for laboratory data.

Keywords

• Combine
• Laboratory simulator
• Modeling
• Wheat

20.1001.1.22286829.1397.8.1.4.6

References

1. Anonymous. 2003. Wheat losses before and after harvesting and during consumption. Iranian Inspection Organization. (In Farsi).

2. Anonymous. 2002. Grain harvesting losses by combine measuring methods. Institute of Standards and Industrial Research of Iran. (In Farsi).

3. ASABE Standards. 2009. S343.3: Terminology for combines and grain harvesting. St. Joseph, MI: ASABE.

4. Bawatharani, R., D. N. Jayatiss, D. A. N. Dharmasena, and M. H. M. A. Bandara. 2014. Optimization of key operating parameters on header losses from combine harvesters in Sri Lankan paddy fields. International Journal of Engineering Research 3 (4): 286-288.

5. Emam, Y. 2011. Cereal production. Shiraz University Press.

6. Fakhraei, O., and S. H. Karparvarfard. 2006. Development of a general equation for estimation of tractive efficiency by dimensional analysis. Iranian Journal of Agriculture Science 38 (3): 447-457.

7. Hosseini, S. A., and S. H. Karparvarfard. 2011. Prediction of acting forces on chisel plow tine by dimensional analysis method. Iranian Journal of Biosystems Engineering 43 (1): 93-103.

8. Houshyar, E., and M. J. Sheikhdavoodi. 2010. Evaluation of wheat losses using New Holland combine harvester in Iran. American- Eurasian Journal of Agricultural and Environmental Sciences 8 (1): 104-108.

9. Karparvarfard, S. H., and H. Rahmanian- Koushkaki. 2015. Development of a fuel consumption equation: Test case for a tractor chisel- ploughing in a clay loam soil. Biosystems Engineering 130: 23- 33.

10. Langhaar, H. L. 1980. Dimensional analysis and theory of models. New York: Wiley.

11. Mirzazadeh, A., Sh. Abdollahpour, and M. Moghadam. 2011. Effect of design parameters on separation of grain in thresher to minimize separation loss of combine. Journal of Sustainable agriculture and production science 21 (3): 1- 11.

12. Srivastava, A. K., C. E. Goering, and R. P. Rohrbach. 2006. Engineering principles of agricultural machines. ASABE Textbook, pp: 433- 434.

13. Soleimani, M., and M. Kasraee. 2012. Optimum adjustments of cereal combine harvester platform for canola harvesting by using of a simulated platform. Journal of Agricultural Machinery 2 (2): 102-108. (In Farsi).

14. Tajbakhsh, O., and S. H. Karparvarfard. 2015. Estimation of the fuel consumption rate of tractor due to different aspect ratios of chisel plow blade. Iranian Journal of Biosystems Engineering 46 (2): 201-208.

15. Voicu, G., T. Casandroiu, and G. Stan. 2007. Using the dimensional analysis for a mathematical model to predict the seeds losses at the cleaning system of the cereals harvesting combines. Scientific Bulletin Series D: Mechanical Engineering 69 (7): 29-39.