郝朝会,杨学军,周军平,刘立晶,王锦江,赵金辉.双动力回转振动式番茄果秧分离装置优化与试验[J].农业机械学报,2016,47(s1):241-248.
Hao Zhaohui,Yang Xuejun,Zhou Junping,Liu Lijing,Wang Jinjiang,Zhao Jinhui.Optimization and Validation of Double Power Hybrid Rotary Vibration Type Tomato Fruit Separation Device[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(s1):241-248.
摘要点击次数: 1699
全文下载次数: 1178
双动力回转振动式番茄果秧分离装置优化与试验   [下载全文]
Optimization and Validation of Double Power Hybrid Rotary Vibration Type Tomato Fruit Separation Device   [Download Pdf][in English]
投稿时间:2016-07-15  
DOI:10.6041/j.issn.1000-1298.2016.S0.037
中文关键词:  加工番茄收获机  回转振动式  果秧分离装置  响应曲面  回归分析
基金项目:“十二五”国家科技支撑计划项目(2011BAD20B05)
作者单位
郝朝会 中国农业机械化科学研究院 
杨学军 中国农业机械化科学研究院 
周军平 中国农业机械化科学研究院 
刘立晶 中国农业机械化科学研究院 
王锦江 中国农业机械化科学研究院 
赵金辉 中国农业机械化科学研究院 
中文摘要:为满足自走式番茄收获机果秧分离装置国产化适应性的需要,采用响应曲面分析法对果秧分离装置性能进行优化研究。以激振器主轴转速、激振器偏心块质量、滚筒自转转速和番茄果秧的喂入量为影响因子,以果实分离率、破损率、含杂率为响应指标,利用Matlab软件进行响应面分析,建立了多元数学回归模型,运用决定系数R2、P值、残差的方差S2等分析了预测模型的可信性;并基于响应曲面分析了试验因素对试验指标的影响,探究了因素间的影响规律及最佳水平组合,并结合非线性优化计算方法,对果实分离率、破损率、含杂率进行了优化计算。结果表明:最优参数组合为:激振器主轴转速342.86r/min、激振器偏心块质量40kg、滚筒自转转速22r/min和番茄果秧喂入量19kg/s时,对应的果实分离率、破损率和含杂率分别为98.33%、3.37%和4.17%。经试验验证,响应面法所得到的果秧分离参数是可行的。
Hao Zhaohui  Yang Xuejun  Zhou Junping  Liu Lijing  Wang Jinjiang  Zhao Jinhui
Chinese Academy of Agricultural Mechanization Sciences,Chinese Academy of Agricultural Mechanization Sciences,Chinese Academy of Agricultural Mechanization Sciences,Chinese Academy of Agricultural Mechanization Sciences,Chinese Academy of Agricultural Mechanization Sciences and Chinese Academy of Agricultural Mechanization Sciences
Key Words:processing tomato harvesting machine  rotary vibration  fruit separation device  response surface  regression analysis
Abstract:In order to achieve localization adaptability of self walking type tomato harvesting machine fruit separation device, the fruit separation device performance was optimized with the method of response surface analysis. The oscillator spindle speed, the oscillator eccentric mass, roller rotation speed and tomato feeding volume were chosen as the influence factors, and the fruit separation rate, breakage rate and impurity rate were used as the response indexes, a multiple regression model was established based on the response surface analysis with Matlab software, and the credibility of the prediction model was analyzed by using the R2, P and the variance of the residual S2; the effects of experimental factors on test index were analyzed based on the response surface method and the influence factors and the best combination of level were achieved, and combined with the nonlinear optimization method, the optimization calculation of fruit separation rate, damage rate and impurity rate were carried out. The results showed that when the oscillator spindle speed was 342.86r/min, vibrator eccentric mass was 40kg, roller rotation speed was 22r/min and tomato feed quantity was 19kg/s, the fruit separation rate, broken rate and impurity rate were 98.33%, 3.37% and 4.17% respectively. By the experiment, tomato separation parameters got by response surface method were feasible; the research result offered the theoretical foundation and scientific basis for the further study of the processing tomato vibration separation technology, also for fruit vibration harvesting technology parameters optimization.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器