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Experimental Research On Trapping Characteristics Of Pneumatic Grasshopper Trapper

Posted on:2008-08-08Degree:MasterType:Thesis
Country:ChinaCandidate:X D KangFull Text:PDF
GTID:2143360218959631Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
In order to find out the effect of property parameters of pneumatic grasshopper trapper and natural factors on trapping rate. the skipping characteristics of the 3~5 instars were investigated. The factors affecting trapping rate can be divided as controllable factors and natural factors. For the controllable factors, taking the trapping rate as the objective, and the height of the suction mouth above ground surface, the machine proceding speed, the interaction and the airflow speed at the exhausting and intake speed, as well as interaction as the test factors. the orthogonal field trapping experiments of grasshopper pneumatic trapper were performed with the3-instar. The tests show that the order of the influence on the trapping rate is the height of the suction mouth above ground surface, the trapper's proceding speed, the interaction, the airflow speed at the exhausting and intake speed. When the height of the suction mouth above ground surface is 18cm, the trapper's proceding speed is 2.4m/s, the airflow speed at the exhausting and intake speed 23/21m/s,the best trapping rate is above 87.5%. And for the natural factors, using segmentation of time series to divide levels, multiple linear regression is adopted to analyze the results. The results show that air temperature and surface temperature exist collinear relationships, so does for air humidity and surface humidity. Natural factors to a certain extent affect the trapping rate, and the affecting order is surface humidity,air temperature,air speed and illuminance. The results provide a basis for improving the trapping property of pneumatic grasshopper trapper.
Keywords/Search Tags:Grasshopper, Physical prevention and cure of grasshopper, Skipping characteristics, Orthogonal experimental design, Multiple linear regression
PDF Full Text Request
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