Abstract
Abstract: Harvesting machinery is a typical off-road vehicle, which is exposed to vibrations caused by soil, machine and plant under complex operating environment and conditions. Harvester vibration characteristics have an important influence not only on harvester structure's lifetime and working precision, but also on driver's comfort and grain loss. There is a common characteristic in agricultural harvesting machine that mass of the whole machine is increasing with time-varying, which reflects the crucial structural dynamics characteristics. Unfortunately, the mechanism and influence rule of vibration are not well known to people, especially in operating modal analysis and test method of harvester induced by mass-varying process were rarely studied. At the same time, operational modal analysis method and test technology are most important methods and techniques to realize optimization design of agricultural harvesting machinery equipment and improve reliability. In order to study operational modal characteristics and vibration behavior of harvester induced by mass-varying process, firstly, SSI (stochastic subspace identification) algorithm and EFDD (enhanced frequency domain decomposition) algorithm were derived, which are the bases of modal identification algorithm. Secondly, taking 4YZP-4HA corn combine harvester with 122 kW as a research object, according to the structure characteristics of corn combine frame, an operational mode test system was designed in field operating condition, which is convenient to install and has a high reliability. Thirdly, an operational modal measuring point model of harvester frame is established, and soil-machine-plant system boundary conditions were measured for operational modal test, the boundary condition including soil, machine and plant parameters, by means of time domain and frequency domain analysis method, time domain statistical characteristics and frequency domain distribution regulation of different measuring points were obtained. On this foundation, using 16 channels 24-bit 3062V dynamic test acquisition instrument, the response data of vibration was acquired. Finally, only through vibration response data (transportation condition and operating condition), using method of SSI and EFDD identify modal parameter (natural frequency, mode shape and damping ratio) induced by time-varying (field operation condition) and non-time varying (transportation condition) process, and comparison of frequency results of 2 algorithms to identify operating modes of harvester frame structure. The results showed that, the vibration intensity of field operating condition was higher than that of transportation condition, and the frequency distribution was concentrated between 20~150 Hz, and the frequency distribution of different measuring points was more consistent, and the main reason for difference is gradient change of stiffness of different measuring point after assembly. Vibration modal frequency parameters and rule of deformation of harvester frame in the field operation were identified by SSI and EFDD method, the result of fourier transform method are compared and analyzed, and it can be more accurate to determine the modal frequency, furthermore, identify modal shape of harvester frame, the modal shape are mainly characterized by bending, torsion and local modal shape, at the same time, the 1 order torsional vibration frequency is about 29 Hz (SSI method, 29.578 Hz; EFDD method, 29.300 Hz). The result of this paper provides reference for vibration characteristic and operational modal analysis approach which harvester machinery works in complex condition, and offers guidance and service for development, design and optimization of new harvest machinery, and improves working method and working reliability.