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- W2392636927 abstract "Taken the conical part and the rectangular box with conical sidewall as examples,the key technologies in their real-time monitoring,identifying,predicting and controlling were studied,which constitute the basis of the intelligent deep drawing control theory.The satisfying result was obtained when the artificial neural network was used in the case of real-time identification and prediction as well as when the load curve was along the critical rupture curve in the case of BHF(blank hold force) controlling.In this study,the testing system for intelligent deep drawing is trial-produced,in which the precision of identification and prediction is satisfying." @default.
- W2392636927 created "2016-06-24" @default.
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- W2392636927 date "2008-01-01" @default.
- W2392636927 modified "2023-09-23" @default.
- W2392636927 title "Intellectualization of controlling in deep drawing of simple shape workpieces" @default.
- W2392636927 hasPublicationYear "2008" @default.
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