| For the sake of raising productivity,decreasing energy consumption and enhancing the design level of cuber, the multi-factor compress experiments of cornstalk were carried out based on 9YK-0.4D cuber and the finite element analysis model was established on feed components based on ANSYS and APDL. Firstly, the moisture content and compress speed were studied individually in case of the other factors unchanged, in which the suitable moisture content and the propositional compress speed were achieved. According to the above conclusion, the orthogonal polynomial regression design was adopt and orthogonal experiment was carried out on influencing factors, including moisture content,compress speed and compress clearance. After that, experimental data was disposed by variance analysis of factors, the result of variance analysis shows that moisture content effects the productivity very evidently, and the main influencing element of energy consumption is compress speed. And then the regression equation about productivity was accepted based on analysis method of polynomial regression. Finally, using the modeling function of UG the Cuber's 3D entity design was achieved, and based on the conclusion of the multi-factor compress experiments the Modal analysis and shearing strength analysis were carried out to the cuber's shaft model, which was achieved by the interface of IGES between UG and ANSYS. And then utilizing ANSYS command stream and APDL (ANSYS Parametric Design Language) language the parametric finite element analysis modeling of feed component was established. It included the realization of toolbars,dialog box,parametric entity modeling and parametric analysis. The modal analysis was carried out to the feed component based on this program, and the conclusions of analysis were showed automatically. The result shows that this method improving the efficiency and level of cuber design, which overcomes many repeated work.
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