Optimum Draw-beads Settingfor Suppressing Torsional Springback of S-rail
نویسندگان
چکیده
منابع مشابه
Integration of feedforward neural network and finite element in the draw-bend springback prediction
To achieve accurate results, current nonlinear elastic recovery applications of finite element (FE) analysis have become more complicated for sheet metal springback prediction. In this paper, an alternative modelling method able to facilitate nonlinear recovery was developed for springback prediction. The nonlinear elastic recovery was processed using back-propagation networks in an artificial ...
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Advanced high strength steels (AHSS) are engineered to have both high strength and enhanced formability characteristics. Yet, the formed components undergo springback due to elastic recovery after removal of the forming tools. This severely affects the dimensional accuracy of the part. Many techniques have been evolved to deal with springback. A simple approach is to design forming tools that c...
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The automotive industry is using more and more of Advanced High Strength Steel in order to reduce the weight of the car. Since this will generate more springback, it is of vital importance to be able to predict the amount of springback in the parts. Otherwise, many late changes have to be made in order to fit the parts in their position. In order to increase the ability to understand and test t...
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ژورنال
عنوان ژورنال: Journal of the Japan Society for Technology of Plasticity
سال: 2007
ISSN: 0038-1586,1882-0166
DOI: 10.9773/sosei.48.1022