Fuzzy Reliability Design And Experimental Study Of The Key Components Of The Whole-Rice-Straw Recycling Machine

The straw is an important biological resource since the using of straws not only affects the soil fertility and the conservation of soil and water for the whole agricultural system, but also impacts the sustained development issues including environmental security and the recycling of the renewable resource. Recycling the straw back to the field is a practical technique, which can be beneficial to increase the organic matter and raise the fertility of the soil; change the soil structure, and strengthen the soil's capability to conserve water and fertilizer; prevent the soil surface from hardening, build up the capacity for sustained agricultural development. By recycling the straws, the over application of the chemical fertilizer and the environmental pollution caused by burning and littering of the "surplus" straws can be avoided. The mechanized recycling straw back to the field is of great environmental and ecological significance in improving agricultural environment and making rational use of the natural resources, and the technique is in conformity with the National Agricultural Department's call of "straw-recycling program".At present, there are few models of straw recycling machine developed in our country. The straw recycling machine is generally low in efficiency, and its application is very limited. In order to improve the reliability and optimize the structure of the model 1ZT-210, the static simulation and the fuzzy reliability optimum design were applied to the key components.(1) Static simulation of the straw-mulching blade shaft and the bent blade was analyzed by using ABAQUS, and the weakest part was found.(2) The stress values of the middle cutter shaft were calculated under different conditions of the straw-mulching blade by using transient dynamic analysis of the cutter shaft.(3) The data of the bending moment and the torque moment of the cutter shaft and the cutter were collected, and the load spectrum of the cutter shaft was draw by using the sensor technique and DH5937 testing system.(4) The service life of the cutter shaft was estimated as 2113 hours by using the load spectrum together with the material fatigue curve and Miner liner cumulative damage theory.(5) The optimization design of the cutter shaft and the cutter was applied by using MATLAB with the reliability as a constraint factor, and the optimization results satisfied the object function.(6) Fuzzy comprehensive evaluation was applied to the cutter shaft, and its optimized thickness was obtained; and reliability sensitive analysis was applied to illustrate to what extent the random variables affected the failure of the cutter shaft. In short, the weakest part of the key components was obtained by simulation, design and experiment stated above; and the load spectrums of the bending moment and the torque moment of the shaft was drawn and the service life of the shaft was estimated; the optimum combination of the parameters was obtained and the reliability was raised by fuzzy comprehensive evaluation of the cutter shaft and the bent blade. The study above gave a theory basis for raising the reliability, optimizing the structure and lengthening the service life of the machine as well as further study.