秸秆还田残膜回收一体机振动特性分析与结构优化

S223.5%TB533+.1; 该研究针对棉花秸秆还田残膜回收一体机振动剧烈、可靠性差等问题开展机具振动特性分析与结构优化.以接近激励源的部位确定机具主要振动测点,安装传感器与连接振动测试仪,获取空转和工作条件下机具振动信息,采用ANSYS Workbènch中的Lanczos Method算法仿真求解机架模态频率和振型,建立机具振动力学模型,通过振动测试仪数据验证仿真模型的准确性,并提出机具结构优化方案.结果表明,仿真结果与实测振动数据有效值的相对误差为9.6%,秸秆粉碎装置与脱膜装置是造成整机振动剧烈的主要部件,田间收获工况下整机振动强度高于空载工况;实测振动频率36.13 Hz接近机架...

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Published in农业工程学报 Vol. 40; no. 2; pp. 155 - 163
Main Authors 郭俊先, 刘颖灿, 魏远俊, 周军, 史勇
Format Journal Article
LanguageChinese
Published 新疆智能农业装备重点实验室,乌鲁木齐 830052%新疆农业大学机电工程学院,乌鲁木齐 830052%沙雅钵施然智能农机有限公司,沙雅 842200 2024
新疆农业大学机电工程学院,乌鲁木齐 830052
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.202308013

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Abstract S223.5%TB533+.1; 该研究针对棉花秸秆还田残膜回收一体机振动剧烈、可靠性差等问题开展机具振动特性分析与结构优化.以接近激励源的部位确定机具主要振动测点,安装传感器与连接振动测试仪,获取空转和工作条件下机具振动信息,采用ANSYS Workbènch中的Lanczos Method算法仿真求解机架模态频率和振型,建立机具振动力学模型,通过振动测试仪数据验证仿真模型的准确性,并提出机具结构优化方案.结果表明,仿真结果与实测振动数据有效值的相对误差为9.6%,秸秆粉碎装置与脱膜装置是造成整机振动剧烈的主要部件,田间收获工况下整机振动强度高于空载工况;实测振动频率36.13 Hz接近机架前两阶固有频率且处于外部激励频率范围内.采用正交试验对机架结构进行优化,得到最佳参数组合为侧板厚度12.0 mm,主连接梁管壁厚6 mm,副支撑梁宽度70 mm.优化后机架前两阶固有频率分别提升至50.700和53.322 Hz,避开了外部激励频率,振动测试结果表明,空载工况下,相比优化前主连接梁振动幅值降低48%,侧板振动幅值降低35%,田间收获工况下相比优化前脱膜装置轴承支座振动幅值降低47%.研究结果可为秸秆还田残膜回收联合作业机的振动特性分析与结构优化提供参考.
AbstractList S223.5%TB533+.1; 该研究针对棉花秸秆还田残膜回收一体机振动剧烈、可靠性差等问题开展机具振动特性分析与结构优化.以接近激励源的部位确定机具主要振动测点,安装传感器与连接振动测试仪,获取空转和工作条件下机具振动信息,采用ANSYS Workbènch中的Lanczos Method算法仿真求解机架模态频率和振型,建立机具振动力学模型,通过振动测试仪数据验证仿真模型的准确性,并提出机具结构优化方案.结果表明,仿真结果与实测振动数据有效值的相对误差为9.6%,秸秆粉碎装置与脱膜装置是造成整机振动剧烈的主要部件,田间收获工况下整机振动强度高于空载工况;实测振动频率36.13 Hz接近机架前两阶固有频率且处于外部激励频率范围内.采用正交试验对机架结构进行优化,得到最佳参数组合为侧板厚度12.0 mm,主连接梁管壁厚6 mm,副支撑梁宽度70 mm.优化后机架前两阶固有频率分别提升至50.700和53.322 Hz,避开了外部激励频率,振动测试结果表明,空载工况下,相比优化前主连接梁振动幅值降低48%,侧板振动幅值降低35%,田间收获工况下相比优化前脱膜装置轴承支座振动幅值降低47%.研究结果可为秸秆还田残膜回收联合作业机的振动特性分析与结构优化提供参考.
Abstract_FL This study aims to reduce the violent vibration for the high reliability of the integrated machine for straw return and residual film recycling.A vibration characteristic analysis was carried out to optimize the structural parameters.The modal characteristics of the frame were solved using the Lanczos algorithm on the ANSYS software,in order to obtain the modal frequencies and shapes.The equivalent vibration mechanics model was used to establish the vibration model of the machine.Newton's second law was adopted to analyze the model force.The vibration program of the simulation was constructed to solve the vibration parameters using Matlab/Simulink.A series of measurements of point locations were used to verify the vibration of the machine.The test was also carried out in the conditions of no-load and field harvesting.Some sensors were installed and connected to the YND Data Acquisition Instrument.Vibration data was collected with the time and frequency domains.The results showed that the 1st and 2nd order natural frequencies of the frame were 39.001 and 39.076 Hz,respectively.The modal vibration pattern was that the side panels oscillated back and forth along the y-axis.The vibration intensity under field harvesting was higher than that under no-load conditions.The measurement point 3 vibration amplitudes in the two conditions were 34.93 and 22.36 m/s2,respectively,where the difference in the vibration amplitude was 12.57 m/s2.The maximum was found in the measurement point 3 of the Y,and Z directions in field harvesting,as well as the measurement point 5 in the X direction of the amplitude.The continuous operation of the stripping device increased the vibration intensity of the machine with less reliability in the field harvesting under the straw crushing device.The straw-crushing device and the stripping device were the main components that contributed to the machine's vibration.The effective values of vibration acceleration were 2.92 and 2.64 m/s2,respectively,after test and simulation.The relative error of 9.6%fully met the requirements of mechanical simulation.The spectrum analysis showed that the machine vibration frequency was mainly for the fundamental frequency of the tractor power output shaft,as well as the fundamental frequency and frequency multiplier of the straw crushing device.The large vibration intensity was measured at point 3 of the X,Z directions,and point 1 of the Z direction.There were weld cracks and bolt loose.The measured vibration frequency appeared at 36.13 Hz close to the first two orders of the frame's natural frequency.The modal vibration pattern was easy to stimulate the local resonance in the range of excitation frequency.The orthogonal experiment was adopted to optimize the frame with the thickness of the side plate,the thickness of the main connecting beam tube wall,and the width of the secondary support beam as the object variables,while the 1st and 2nd orders of the frame's natural frequency as the indicators.The optimal parameters were achieved,where the thickness of the side plates was 12.0 mm,the tube wall thickness of the main connecting beam was 6 mm,and the width of the secondary support beam was 70 mm.The 1st and 2nd natural frequencies were 50.700 and 53.322 Hz,respectively,which were higher than the maximum limit of the excitation frequency in the straw-crushing device of 46 Hz.Thus the resonance was effectively avoided.The improved model was verified to significantly reduce the vibration intensity of each measurement point,with a 48%amplitude of the maximum reduction.The transmission of vibration intensity was also significantly weakened,indicating the effective optimization.This finding can provide the theoretical reference for the vibration analysis and structural optimization of the residual film recycling machine.
Author 郭俊先
周军
魏远俊
刘颖灿
史勇
AuthorAffiliation 新疆农业大学机电工程学院,乌鲁木齐 830052;新疆智能农业装备重点实验室,乌鲁木齐 830052%新疆农业大学机电工程学院,乌鲁木齐 830052%沙雅钵施然智能农机有限公司,沙雅 842200
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Author_FL ZHOU Jun
SHI Yong
GUO Junxian
WEI Yuanjun
LIU Yingcan
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DocumentTitle_FL Vibration characteristics analysis of the optimal structure of integrated straw returning and residual film recycling machine
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Keywords 振动频率
agricultural machinery
frame optimization
机架优化
vibration frequency
模型
model
modal parameters
农业机械
模态参数
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PublicationTitle_FL Transactions of the Chinese Society of Agricultural Engineering
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Publisher 新疆智能农业装备重点实验室,乌鲁木齐 830052%新疆农业大学机电工程学院,乌鲁木齐 830052%沙雅钵施然智能农机有限公司,沙雅 842200
新疆农业大学机电工程学院,乌鲁木齐 830052
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