Results 141 to 150 of about 307 (163)
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Adaptive through‐thickness integration for accurate springback prediction
International Journal for Numerical Methods in Engineering, 2007AbstractAccurate numerical prediction of springback in sheet metal forming is essential for the automotive industry. Numerous factors influence the accuracy of prediction of this complex phenomenon by using the finite element method. One of them is the numerical integration through the thickness of shell elements.
Burchitz, I.A., Meinders, Vincent T.
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Prediction of Springback in Straight Flanging Operation
Manufacturing Science and Engineering, 1999Abstract A straight flange problem is investigated with the expectation that this will lead to a better understanding of the deformation mechanism and to more complicated flanging problems. The “in-die” shape of the part is subdivided into a number of segments and individual springback of each segment is investigated, by releasing the ...
Jian Cao, Zhihong Liu, Wing Kam Liu
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Springback Prediction Improvement Using New Simulation Technologies
SAE Technical Paper Series, 2009<div class="htmlview paragraph">Springback is a major concern in stamping of advanced high strength steels (AHSS). The existing computer simulation technology has difficulty predicting this phenomenon accurately even though it is well developed for formability simulations.
Xiaoming Chen +6 more
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A Shop Floor Approach to Springback Prediction
AIP Conference Proceedings, 2011This paper presents a new methodology called a shop floor approach to springback prediction. It begins with the development of a springback model based on die and stamped part historical data by Multiple Regression (MR) technique. This model is then used to validate a numerical springback model using Finite Element Analysis (FEA).
K. B. Nagur Aziz +4 more
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Simplified springback prediction of thick sandwich panel
Journal of Sandwich Structures & Materials, 2018Springback is one of the most important design behavior in air-bending processes. The sandwich panel exhibits more complicated bending and springback behavior due to substantial differences in mechanical properties between the foam core and the metallic skin sheet.
Raja Ouled Ahmed Ben Ali, Sami Chatti
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A Modified Mroz Model for Springback Prediction
Journal of Materials Engineering and Performance, 2007A new anisotropic material hardening model is introduced in this study for springback simulation. It is modified from the Mroz multi-yield surface hardening model and incorporated more realistic Bauschinger effect for cyclic loading and anisotropic yield surfaces for sheet metals.
Danielle Zeng, Z. Cedric Xia
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Springback Prediction on Slit-Ring Test
AIP Conference Proceedings, 2005Advanced high strength steels (AHSS) are increasingly being used in the automotive industry to reduce vehicle weight while improving vehicle crash performance. One of the concerns in manufacturing is springback control after stamping. Although computer simulation technologies have been successfully applied to predict stamping formability, they still ...
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An Anisotropic Hardening Model for Springback Prediction
AIP Conference Proceedings, 2005As more Advanced High‐Strength Steels (AHSS) are heavily used for automotive body structures and closures panels, accurate springback prediction for these components becomes more challenging because of their rapid hardening characteristics and ability to sustain even higher stresses. In this paper, a modified Mroz hardening model is proposed to capture
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An Investigation of Drawbead Models for Springback Prediction
Manufacturing Science and Engineering, Parts A and B, 2006Accurate prediction of springback for rail-type structures remains a significant challenge for automotive stamping. A major characteristic of forming such parts is that metals go through drawbeads and die-entry radii and often end up within part geometry (i.e., inside trimline).
F. Ren, Z. C. Xia
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An Improved Numerical Integration Method for Springback Predictions
AIP Conference Proceedings, 2011In this investigation, the focus is on the springback of steel sheets in V‐die air bending. A full replication to a numerical integration algorithm presented rigorously in [1] to predict the springback in air bending was performed and confirmed successfully. Algorithm alteration and extensions were proposed here.
R. Ibrahim +2 more
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