| In recent years, the world people's attention focus on the environmental issues, the automobile industry which is the main source of the greenhouse gas is developing towards decreasing the automobile weight, saving energy and lowering the emission of the greenhouse gas. Because the automobile covering parts are usually complex, good material property is beneficial for the forming process of covering parts. With the fast development of the Metallurgical technology, the types of sheet which is used in the automotive industry are richer and richer, the property of sheet is better and better. How is full use of the sheet's property, choosing a suitable sheet metal for the different automobile covering parts is the common pursuit of the goal between the automobile industry and the iron and steel enterprises.Firstly, in this paper, the covering parts classification method is researched and the covering parts can be classified into five different forming categories. The 172 covering parts from two kinds of cars are classified, the local and overall features are measured in UG6.0, and 2-3 typical parts are selected from the 5 categories, Respectively. At the same time, according to the scholar's study, the different sheet properties(such as yield strength, elongation, hardening exponent, planar anisotropy ) impacted on the 5 categories are analyzed.Subsequently, adopting the ABAQUS6.8, the typical parts'forming process which are selected are simulated. By changing the materials parameters, stress, strain and thickness distribution can be got through the simulation. And with the strain distribution and FLC combined, the safety margin can be obtained under the different materials properties. Through the MATLAB, the model between safety margin and sheet metal properties can be fitted.Finally, the deep drawing part and shallow drawing part are chosen to carry out the drawing experiment, using the ST13 as the blank. After the forming, the strain distribution of danger zones are analyzed and compared with the result of the simulation. The accuracy of the model can be validated. |