Structural Parameter Optimization And Experimental Study Of Elastomer For Fast Weighing Sensor

China is a big fruit producer and one of the major citrus producing areas in the world.In order to maximize the benefit of citrus sales,weight sorting is an important step for citrus to enter the market.Because of the large yield of citrus,improving the sorting speed of citrus is of great significance to the sales of citrus.In agriculture,weighing sensors are widely used in the weight classification of fruit and agricultural products.In order to meet the demand of production and marketing,it is of great significance to improve the response speed of weighing sensors to meet the rapid weight classification of citrus.In this paper,the weighing sensor,which is an important part of orange wei'ght sorter,is taken as the research object.The response characteristics and structural parameters of the weighing sensor are analyzed,and the optimized weighing sensor is verified by experiments.1)According to the loading condition of the sensor elastomer,the mechanical model of the sensor elastomer is established.At the same time,the mechanical model can be regarded as a second-order system and its dynamic response equation is deduced.According to the dynamic response equation,it can be seen that the natural frequency of the sensor elastomer has a great influence on the response equation.Increasing the natural frequency of the elastomer can improve the response of the sensor.2)The natural frequency of the sensor elastomer is related to the structural parameters of the elastomer.Therefore,the structural parameters of the sensor elastomer are optimized and the optimal combination of structural parameters is obtained to maximize the natural frequency of the sensor elastomer under the combination of these parameters.In this paper,the parametric modeling of sensor elastomer is carried out by Solidworks.The modal analysis and static structure analysis of sensor elastomer are carried out in Ansys Workbench.The natural frequencies of elastomer and the maximum strain values of four strain gauge patches are analyzed.Then the objective optimization analysis based on response surface method is carried out under the optimization design module of Ansys Workbench.In order to reduce the optimization process,all structural parameters of the sensor elastomer are optimized by sensitivity analysis,and a group of optimal structural parameters are selected from the three groups of optimized data.It is found that the natural frequency of the sensor elastomer increases by 2.47%under the new structural parameters combination.3)Based on Labview,a weighing sensor response measurement platform is designed,which imposes a load on the load-bearing end of the weighing sensor.Data acquisition tests are carried out through the response of the symmetrical weight sensor of the testing platform.The response before and after optimization is compared with the experimental data.In the case of four different grading speeds,a suitable orange was selected to do seven groups of measurement experiments at four different grading speeds,and the weight values of oranges at different grading speeds were measured by data acquisition software.The weight error values were analyzed.It was found that the weight error values measured by the optimized sensor decreased significantly when the grading speed was increased small.