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

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.