Regression Modeling of Combine Harvester Rear Loss as a Function of Travel Speed, Cylinder Rotation Speed and Fan Rotation Speed (Claas, Model Tucano 320)

Document Type : Research Paper

Authors

1 Department of Biosystems Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

2 Moghan Agro-Industry Company

Abstract

Abstract
One of the most time-consuming and difficult stages of crop production is the harvesting stage, that almost more product losses occur at this stage. Adjustments are very important in increasing the efficiency of grain combine harvesters and subsequently decreasing product loss. However, good adjustments require the identification of the components of the harvester, quantifying the losses in these components. In this research, a model has been developed to measure the rear losses of combine harvester (total threshing and separation losses) based on machine parameters. In this research, the effects of different levels of forward speed (3, 4 and 5 km/h), cylinder rotating speed (1100, 1200 and 1300 rpm) and fan speed (600, 700 and 800 rpm) on rear losses of combine harvester in three replications were investigated. A factorial experiment based on a randomized complete block design generally results of ANOVA showed that the travel speed, cylinder rotating speed and fan speed had significant effect on rear loss. Multivariate linear regression was used to make model and determine the relationship between rear loss and investigated parameters. The results of the regression model analysis showed that there was a good fitting between the rear loss and the parameters at the probability level of 1 or 5%. In other words, this model can be used for prediction of combine harvester rear loss under different operational conditions. The coefficient determination of model was obtained 0.85, which shows that a significant part of the rear loss of combine harvester is justified by the three parameters examined in this study.

Keywords

References

Behroozi Lar, M. (2001). Farm Power and Machinery  Management.Published. Tehran, Iran. (In Persian).
Behroozi Lar, M. (2000). Engineering Principles of  Agricultural Machines. Azad Islamic University Press. Tehran, Iran. (In Persian).
Bottinger, S., and Kutzbach, H. D. (1987).  cleaning unit under various crop conditions. ASAE Paper No. 87-1512.
Liang, Z. Li,Y. Xu, L., and Zhao, Z. (2016). Sensor for monitoring rice grain sieve losses in combine harvesters. Biosystems Engineering, 47: 51-66.
Mansouri Rad, D. (2012). Farm Machinery and  Tractors. Bouali Sina University Press. Hamadan, Iran.
Miu, P. I., and Kutzbach, H. D. (2008a). Modeling and simulation of grain threshing and separation in threshing units-Part I. Computers and Electronics in Agriculture, 60: 96-104.
Miu, P. I., and Kutzbach, H. D. (2008b). Modeling and simulation of grain threshing and separation in axial threshing units Part II. Application to tangential feeding. Computers and Electronics in Agriculture, 60: 105-109.
Myhan, R., and Jachimczyk, E. (2016). Grain separation in a straw walker unit of a combine harvester: Process model. Biosystems Engineering, 45: 93-107.
Navid, H., Mohtasebi, S., and Behroozi Lar, M. (2009). Mathematical modeling of threshing rate on John Deere combine (model 1165).Agricultural Knowledge 19 (2):197-205. (In Persian).
Patel, S. K., and Varshney, B. P. (2014). Modeling of wheat crop harvesting losses. Agric Eng Int: CIGR, 16 (2): 97-102.
Wang, G., G. C. Zoerb., and F. W. Bigsby.(1987). A New Concept in Combine Separation Analysis. Transactions of the ASAE 30 (4): 899-903.
Zareei, S., and Abdollahpour, S. (2016). Simulation of neuro-   fuzzy model for optimization of combine header setting. Journal of Agricultural Machinery 6(2): 406-416. (In Persian).
Zongling, Z., Shujun, L. Zengde, H. Xiaopeng, B. Teng, L., and Binbin, Z. (2017). Design and test of a new type header of  corn harvester for reaping both corn stalk and spike. ASABE Annual International Meeting.
Zhao, Z. Li, Y. Chen, J., and Xu, J. (2011). Grain separation loss monitoring system in combine harvester. Computers and Electronics in Agriculture 76: 183-188.
Agricultural Mechanization
Volume 5, Issue 1
March 2021
Pages 111-118

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History

  • Receive Date: 14 June 2021
  • Accept Date: 14 June 2021

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