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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2012(Vol.4, Issue:15)
Article Information:

Optimization of Seed Corn Harvesting Losses Applying Response Surface Methodology

Seyyed Hassan Pishgar-Komleh, A. Keyhani, M.R. Mostofi-Sarkari and A. Jafari
Corresponding Author:  Seyyed Hassan Pishgar-Komleh 
Submitted: January 19, 2011
Accepted: February 08, 2012
Published: August 01, 2012
Abstract:
This study evaluated the amount of machinery losses during seed corn harvesting operation and investigated the relationship between cylinder and ground speed of the grain combine on total harvesting losses. For this purpose data were collected from a representative seed corn field which harvested using the grain combine. All types of losses measured based on a standard method and gathered as total combine loss. Response surface methodology based on two variables (cylinder and ground speed), three levels and Central Composite Design (CCD) was applied to find the optimum level of harvesting loss. Different models (linear, 2FI, quadratic and cubic), were tested and the 2FI model was selected as the best model which describes the relationship between dependent and independent variables. The predicted values were compared with the actual values of total losses and it was evident that the actual values were distributed relatively near to the predicted line which indicated that there is a good correlation between the actual and predicted values (with R2 value of 0.88). The optimal condition in which the total combine harvesting losses was found the least at cylinder speed of 400 rpm and ground speed of 3 km/h.

Key words:  Central composite design, grain combine, response surface methodology, seed corn combine losses, , ,
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Cite this Reference:
Seyyed Hassan Pishgar-Komleh, A. Keyhani, M.R. Mostofi-Sarkari and A. Jafari, . Optimization of Seed Corn Harvesting Losses Applying Response Surface Methodology. Research Journal of Applied Sciences, Engineering and Technology, (15): 2350-2356.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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