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The Experimental Investigation of the Straw Chopping Knife of the Corn Harvester

Author: SongFang
Tutor: WangZengHui
School: Jilin Agricultural University
Course: Applied Computer Technology
Keywords: feeding speed linear velocity variance analysis polynomial regression analysis
CLC: S225.51
Type: Master's thesis
Year: 2011
Downloads: 110
Quote: 0
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Abstract


China is a large agricultural country. Maize is the most important food crop in our country. Because of the high-yield, adaptable, and manageable characteristic of maize, it’s planted so widely in our country. The owning amount of maize straw resources is the NO.1 throughout the world. But at the present, the utilization of maize straw is unreasonable in many places. Except for a few are used as animal feed, most are used as firewood, even some of them are stacked in the courtyard until rotted or burnt off in the fields. The remnant straw does not only occupy much land, influence the environment in the rural areas, but also become the hidden fire trouble. Straw burning has already become an urgent issue to be settled social problem because it can cause resource-wasting, environment pollution, and do harmful for people’s health and safety.The waste of the straw resources, essentially, is the waste of arable land, the water, and input for agriculture. Increasing the multipurpose use of agriculture offal, developing new technique, efficient use of resources, prohibiting burning the straw, on one hand, can change waste into valuable, improve the efficiency to use resource, improving the income of farmers, and on the other hand, it can protect the environment, protect people’s health, keep the traffic and civil aviation flowing. So it’s a significant step to build a resource-saving environment-friendly society.Observations of the current state of research and development, our country have reached many great results about the development and use of maize straw. At the present stage, there are four main applications: 1) straw returning; 2) silage; 3) alternative energy sources; 4) industrial raw material. In the above examples, straw returning and silage are the main application in agricultural industry.In recent years, maize has become the emphasis of agricultural machinery development, more and more farmers asked for implementing the corn combine harvesting.Depending on different applications, the demand for the standard of stalk shredding is also different, so, if we choose the appropriate harvester machine and chopping knife, we can not only attain the ideal effects, but also scant the scale and weight of the machine, and economize on energy. It’s significant. Straight cast Curved Surface and Straight Edge cylindrical chopping cutter is the ideal type of the cutter parts of the Vertical-roll Type corn harvester. About how to control the cutting length and the casting length to meet different needs, we will do experiment on the Straight cast Curved Surface and Straight Edge cylindrical chopping cutter, and research how the cutting length, the casting length and the power consumption is influenced by the feeding speed and the linear velocity. So as to find the most important element of the function by means of test with variance analysis, and then on this basis, get every functional relations between these factors and cutting length, the casting length, and the power consumption by polynomial regression analysis, to provide a feasible plan to the experimental investigation.The major advantage of variance analysis is that you can test many factors together, so you can save much time, and the stability is also raised because of this.The major advantage of polynomial regression analysis is that you can approach the objective by increasing the high-order term of x until you are satisfied. In fact, you can deal with a lot nonlinear problem with polynomial regression analysis. It’s so important in variance analysis because either function can be approached by polynomial in subsection. In usual practical considerations, we can use polynomial regression analysis no matter what relationships between independent variable and other variables.The main results are:1、We can make sure that the most important factor that influenced the cutting length, the casting length and the power consumption is the linear velocity. There is no interaction between the feeding speed and the linear velocity. Feeding speed is not the appreciable impact.2、We research the linear velocity, and get every functional relations between these factors and cutting length, the casting length, and the power consumption by polynomial regression analysis. And then we verify the functions are in commission, so we can apply these functions to practical application, provide a reference for real work

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CLC: > Agricultural Sciences > Agricultural Engineering > Agricultural machinery and implements > Harvesting machinery > Tall crops harvester > Corn harvester
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