Abstract
Corn was frozen at harvest time in high-latitude areas, when corn kernel is wetter and more easily broken. When frozen corn was threshed and separated by the longitudinal axial threshing cylinder of a combine harvester, it caused a significantly high kernel damage rate and loss rate. The process parameters of threshing cylinder were optimized using RSM (response surface method) and NSGA-II (Non-Dominated Sorted Genetic Algorithm-II). The drum speed (Ds), feed rate (Fr) and concave clearance (Cc) were determined as the optimized process parameters. The loss rate (Lr) and damage rate (Dr) were indicators of operational performance. The RSM was used to establish a mathematical model between process parameters and indicators. With an elite strategy, NSGA-II was used for multi-objective optimization to obtain the optimal operational performance of the threshing cylinder. Overall, when the drum speed was selected as 384.1 rpm, the feed rate as 8.6 kg/s and the concave clearance as 40.5 mm, according to the requirement of corn harvest, the best operational performance of the longitudinal axial threshing cylinder on frozen corn was obtained. The Lr was 1.98% and the Dr was 3.49%. This result indicated that the applicability of the optimal process parameters and the optimization method of combining NSGA-II and RSM was effective for determining the optimal process parameters. This will provide an optimization method for synchronously reducing the loss rate and damage rate of grain harvesters.
Highlights
In some high-latitude regions, especially in North America (United States and Canada), Europe (Russia, Belarus and Ukraine) and Asia (China), the temperature is already below freezing point when corn comes into maturity
A Analysis reliability of the regression models were tested using the analysis of variance (ANOVA)
When the value of R2 was 0.9517, it implied that the quadratic model was not reflected the 0.0483% of total loss rate (Lr) variation
Summary
In some high-latitude regions, especially in North America (United States and Canada), Europe (Russia, Belarus and Ukraine) and Asia (China), the temperature is already below freezing point when corn comes into maturity. The mechanical harvesting of frozen corn, especially threshing devices, is in urgent need of reducing its loss rate and damage rate. Posterior process parameters were optimized by were the multi-objective method [15]. Thediscussed multi-objective optimization has not been used in combine has not beenespecially used in combine harvesters, especially for frozen corn threshing. A central composite design (CCD) was used obtain test data based on a longitudinal axial threshing cylinder test device. NSGA-II was used to facilitate the global threshing efficiency demand of frozen corn combine harvesters, the optimum value of the process search and obtain the Pareto-optimal front. Of frozen corn combine harvesters, the optimum value of the process parameters was determined
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