NDLI: Research on springback characteristic and prediction accuracy control of advanced high strength steel

Content Provider	IEEE Xplore Digital Library
Author	Liu Xiaojing Zhang Yanshen Qin Haibin
Copyright Year	2010
Description	Author affiliation: College of Materials Science & Engineering, Harbin University of Science and Technology, China (Liu Xiaojing; Zhang Yanshen; Qin Haibin)
Abstract	With the progress of automobiles lightening, there has been an increasing demand for high strength steel in automobile manufacturing. Under such situation that the springback is lager and the prediction accuracy is lower, deep researches on the springback characteristic, prediction accuracy and simulation error control of advanced high strength steel have been carried out by means of numerical simulation and experiment. The influences of material parameters and process variables on the bending springback of typical U-shaped parts are analyzed. Springback simulation error function (SSEF) has been established to characterize the springback prediction accuracy. Effects of material hardening model, element size, the number of integration points in the direction of plate thickness and virtual punch velocity on springback prediction accuracy in finite element numerical simulation are discussed. The cause of numerical simulation error is analyzed. Combined with Reverse Engineering techniques, springback simulation accuracy has been improved by the multidimensional error control solution of simulation parameters adjustment, keywords modification and simulation process optimization.
Starting Page	352
Ending Page	355
File Size	999344
Page Count	4
File Format	PDF
ISBN	9781424490387
DOI	10.1109/IFOST.2010.5667988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-13
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models advanced high strength steel springback Predictive models numerical simulation error Numerical models prediction accuracy Optimization Floors
Content Type	Text
Resource Type	Article

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