Optimization of Operational Parameters for Axial Flow Paddy Thresher Using RSM

Abstract

Post-harvest practices remains significant qualitative and quantitative throughout the paddy value chain despite rising agricultural productivity. When it comes to rice, most losses occur during the harvesting and threshing operations. In optimizing operating variables, the use of response surface methodology (RSM) and complete randomized design (CRD) is effective. This research discusses the application of these approaches to determine the impact of various operational factors on the performance of an axial flow paddy threshers. Three major operating variables, feeding rate, cylinder speed, moisture content, were changed during the paddy threshing. The machine was evaluated using feed rates in the range of 1700 to 1900 kg/h, threshing cylinder speed from 400 to 650 rpm, and crop moisture content 12 to 16% for the crop. Algebraic models were created in Design-Expert software using computer simulation by the least-squares method to optimize the variables. Models for fuel consumption and torque requirement for threshing were developed and represented the three operational parameters. The study found that all three parameters significantly affected fuel consumption and torque requirement at the linear and quadratic levels. Furthermore, the optimum the torque requirement and fuel consumption was 1152.78 Nm and 2.51 l/h, respectively at 12% moisture content of paddy, Which was recorded at feed rate (1703.92 kg/h), cylinder speed (400 rpm). However, no significant change was observed at the level of the interactions.