| 振动深松试验台作业参数减阻减振优化 |
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| 引用本文： | 孙亚朋,董向前,宋建农,刘彩玲,王继承,张超.振动深松试验台作业参数减阻减振优化[J].农业工程学报,2016,32(24):43-49. |
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| 作者姓名： | 孙亚朋 董向前 宋建农 刘彩玲 王继承 张超 |
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| 作者单位： | 农业部土壤-机器-植物系统技术重点实验室，中国农业大学，北京 100083 |
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| 基金项目： | 教育部创新团队发展计划项目（IRT13039）；中央高校基本科研业务费专项资金资助项目（2015GX003/2016TC007） |
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| 摘 要： | 振动深松具有降低耕阻的作业优势,但振动对驾驶员造成的负面影响是制约其推广使用的主要因素之一。该文采用二次回归通用旋转设计,考察深松铲振频、振幅、前进速度3个工作参数与耕阻、振动2个试验指标的关系,利用Design-Expert响应面分析法,得到2个指标的回归模型,并进行优化分析。综合分析得到一组减阻减振的优化解:振幅21 mm、振频4.2 Hz、前进速度3.4 km/h,在该组工作参数下,与非振动深松相比,振动深松的耕阻最大值变化较小,耕阻最小值、平均值分别减小46.2%、16.6%。
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| 关 键 词： | 农业机械 优化 振动 深松 响应面法 |
| 收稿时间： | 2016/3/29 0:00:00 |
| 修稿时间： | 2016/10/18 0:00:00 |
Parameter optimization of vibration subsoiler test bed for reducing resistance and vibration |
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| Sun Yapeng,Dong Xiangqian,Song Jiannong,Liu Cailing,Wang Jicheng and Zhang Chao.Parameter optimization of vibration subsoiler test bed for reducing resistance and vibration[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(24):43-49. |
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| Authors: | Sun Yapeng Dong Xiangqian Song Jiannong Liu Cailing Wang Jicheng and Zhang Chao |
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| Institution: | Key Laboratory of Soil-Machine-Plant Systematic Technology, Ministry of Agriculture, China Agricultural University , Beijing 100083, China,Key Laboratory of Soil-Machine-Plant Systematic Technology, Ministry of Agriculture, China Agricultural University , Beijing 100083, China,Key Laboratory of Soil-Machine-Plant Systematic Technology, Ministry of Agriculture, China Agricultural University , Beijing 100083, China,Key Laboratory of Soil-Machine-Plant Systematic Technology, Ministry of Agriculture, China Agricultural University , Beijing 100083, China,Key Laboratory of Soil-Machine-Plant Systematic Technology, Ministry of Agriculture, China Agricultural University , Beijing 100083, China and Key Laboratory of Soil-Machine-Plant Systematic Technology, Ministry of Agriculture, China Agricultural University , Beijing 100083, China |
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| Abstract: | Abstract: The oscillatory tillage was proved to be more efficient than rigid tillage. Oscillation could reduce the drag resistance during tillage. But the oscillation had a bed effect on the tractor. Oscillation damaged the tractor and was harmful to tractor driver. The goals were to reduce the drag residence and the effect on the tractor. These two goals couldn''t be optimum at the same time. But it had a relative optimum combination. The Six-component test system on the experiment trolley could measure the forces in the directions of heading(X), vertical (Z) and crosswise (Y). Define the mean value of X-direction force as the mean of resisting force F1, the interquartile range of Z-direction force as the range of vibratory force F2. The working parameter of oscillatory tillage that to be considered were amplitude e(a), frequency (f) and velocity (v) in the experiments. Using quadratic general revolving combination design with 3 factors, the regression models between F1, F2 and amplitude, frequency, velocity were founded. There were two three-factor quadratic regression models. The influence order could be found in the perturbation graph for non-interaction parameters, but couldn''t be found for interactive parameters, because the trend of perturbation curve changed when the interactive parameters was changed. The path analysis method could find both direct and indirect influences of interactive parameters. Using the interaction analysis method in the Design-Expert and the path analysis method in the SPSS, the influence order of three factors was determined, a>f>v, to both F1 and F2. There were no optimal solutions for this multi-objective optimization problem, but there were relative optimal solutions for it through the method of desirability function method. The higher the desirability value, the better the solution. From the 3D response surface of desirability at different velocities, in order to achieve high speed work, the relative optimal solution of both the goal of low resisting force and that of low vibratory force was small amplitude, high frequency and high speed, the values were 21 mm, 4.2 Hz and 3.4 km/h. The inaccuracy between the predicted value of regression model and the result of verification test was acceptable. The maximums of resisting forces during oscillation and non-oscillatory tillage were similar, but the force reductions of minimum and mean values were 46.2% and 16.6%. Comparing with the single objective optimal solution of F1, the multi-objective optimization reduced the vibratory force. It achieves that resisting force decreases and at the same time the vibration on vertical direction decreases during oscillatory tillage. |
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| Keywords: | agricultural machinery optimization vibration subsoiling response surface |
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