摘要
为研究振动时间、振动频率和振动激励点振幅等不同振动特性参数对杏树振动的影响,该文利用ANSYS软件对杏树进行了有限元建模分析;通过三因素三水平试验分析不同振动特性参数对杏树振动检测点的影响,利用Design Expert软件进行优化分析,并进行实验室验证试验。杏树自由模态振动响应分析表明最佳杏树振动采收响应频率范围为0~20 Hz;谐振动响应分析可知在最佳频率范围内,杏树振动激励点振幅为5、10和15 mm时,同一频率下,随着激励振幅的增大,相同位置加速度增大,但振动曲线整体变化规律和趋势一致。试验分析可知,各因素影响检测点1和2加速度的强弱顺序一致:激励点振幅>振动频率>振动时间;各因素影响检测点3加速度的强弱顺序为:振动时间>激励点振幅>振动频率;建立3个检测点的响应方程,由下至上3个检测点的回归方程决定系数分别为0.906 7、0.879 3和0.973 3;多目标参数优化结果为:振动时间7.207 s,振动频率15 Hz,激振点振幅10 mm,通过验证试验可知由下至上各检测点加速度为10.4g、10.2g和9.3 g,与优化值相近。该研究可为杏振动采收机械参数设计提供参考。
In this paper,the combination of finite element modeling and experiment was used to study the effects of different vibration parameters such as vibration time(A),amplitude(B)of the vibration excitation point on apricot tree vibration and vibration frequency(C),and optimize the performance of forest fruit vibration harvesting prototype.The effects of different vibration parameters on the vibration detection points of apricot trees were analyzed by vibration response test.The response analysis of apricot tree free modal vibration using ANSYS Workbench software showed that apricot trees had typical free modal responses at 15,26,30 and 40 orders,the corresponding frequencies were 5.5,10.5,15.1,and 29.3 Hz,respectively;and the maximum displacement deformation of fruit trees was 286.5,261.9,267.2,and 273.5 mm,respectively.The typical free modal cloud image analysis showed that the typical free modalities of the 15th and 26th orders were higher in the terminal end responsiveness of the apricot branches.The 30th order fruit tree had a high overall response consistency,and the apricot tree had the largest deformation response at the end;at the 40th order of 29.3 Hz,some branches of the fruit trees were severely deformed,and the overall structure of the tree was easily destroyed.The optimal response frequency of apricot tree vibration harvesting ranged from 0 to 20 Hz.The harmonic response analysis showed that in the optimal frequency range,the acceleration of the same position increased with the increase of the excitation amplitude at the same frequency,but the overall variation of the vibration curve was consistent with the trend;When the amplitude of the vibration excitation point of the apricot tree was 5,10 and 15 mm,at the same frequency,as the excitation amplitude increased,the acceleration at the same position increased,but the overall variation of the vibration curve was consistent with the trend.The three-factor and three-level vibration response tests were conducted to study the effects of vibration time,vibration frequency and excitation point amplitude on the acceleration of three different detection points.The multivariate regression analysis of variance showed that the accelerations P1 and P2 of detection points 1 and 2 were less than 0.000 1,the overall model was highly significant(P<0.01),and the model regression terms B and C were significant.The acceleration P3 of the detection point 3 was 0.000 1,and the overall model was highly significant(P<0.01),except that the acceleration P3 value of the detection point 3 of the model regression terms AB,AC and A2 was not significant(P >0.05),and other regression terms were significant(P<0.05).The factors which affected the acceleration of the detection points 1 and 2 were the same as the amplitude of the excitation point,vibration frequency and vibration time.The order of the magnitude of the acceleration affecting the detection point 3 was the vibration time,the amplitude of the excitation point,and the vibration frequency.Through the response equations of the three detection points,the coefficient of determination R^2 of the regression equations from the bottom to the top three detection points were 0.906 7,0.879 3 and 0.973 3,respectively.Using the Design-Expert 10.0.3 software to optimize the detection point response equation,the optimal vibration recovery parameter combination was that the vibration time was 7.207 s,the vibration frequency was 15 Hz,and the amplitude of the excitation point was 10 mm.The verification test showed that the acceleration from the bottom to the top of each detection point was 10.4,10.2 and 9.3 g,which was similar to the optimized value.These conclusions can provide design and theoretical basis for the design of mechanical parameters of apricot vibration harvesting.
作者
杨会民
散鋆龙
陈毅飞
王学农
牛长河
侯书林
Yang Huimin;San Yunlong;Chen Yifei;Wang Xuenong;Niu Changhe;Hou Shulin(Agricultural Mechanization Institute,Xinjiang Academy of Agricultural Sciences,Urumqi 830091,China;College of Engineering,China Agriculture University,Beijing 100083,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2019年第2期10-16,共7页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金项目-新疆杏振动脱落动力学特性及振动采收机理研究(51465059)
关键词
振动
收获
机械化
杏
振动响应试验
vibrations
harvesting
mechanization
apricot
vibration response test