Abstract

In order to improve the accuracy and reliability for detection of grains cleaning loss, a piezoelectric crystal sensor array was proposed in full width of distribution to realize the online multipoints detection. The dynamic model for grain collision sensor array was evaluated by the method of experimental model analysis. The distribution of low-level vibration and deformation was tested for the sensitive elements of detection array using dynamic signal tester. The location and quantity of the piezoelectric crystal units were determined. The simulation was done based on the software ANSYS for the impacts of grains on the sensitive elements. A quantitative analysis was developed to correct the positions of the piezoelectric crystal units and the construction was adjusted according to the deformation contours. The exact positions were quantitatively analyzed and corrected based on the numerical results for the deformation placement, which was used for optimizing the array construction. Then, the grain impact experiment was established on the test bench. The results showed that the performance was stable for the piezoelectric sensor array, and output signal amplitude was about 2.5 V, with uniform sensitivity in the whole range. The present array sensor helps to provide a technical foundation for detection of grain cleaning loss.

Highlights

  • The grain cleaning loss is an important index in the combine performance tests and it affects the harvesting machine productivity and job quality [1]

  • The optimized piezoelectric crystal sensor array performance is verified by the experiment on the test bench

  • The dynamic analysis was conducted for impact of grains on the sensitive element, and the piezoelectric crystal detection array was constructed

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Summary

Introduction

The grain cleaning loss is an important index in the combine performance tests and it affects the harvesting machine productivity and job quality [1]. The grain loss signals are so weak as to be submerged in the noises from the combine and the sieve when it is detected by the sensors, which, with the disturbance of the mixture of stems and grass, results in the difficulty in testing the grain loss amounts. In order to improve the grain loss sensor installation method, Osselaere put the sensor into a sealed enclosure [5] This device protected the grain loss sensor static performance from the external interference, but the dynamic performance of the sensor has not been improved, and the influence of the combine vibration, the ground bump, and the stems on grain signal cannot be restrained during harvesting. The optimized piezoelectric crystal sensor array performance is verified by the experiment on the test bench

Signal Detection Methods for Grain Cleaning Loss
Experimental Analysis of Sensitive Element
Structural Optimization of Piezoelectric Detection Array
Conclusions

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