Arcelormittal

Arcelormittal Investigacion Y Desarrollo, S.l.

Ispat Inland, Inc.

Oscar Lanzi

Sriram Sadagopan

John A Rotole

Johnny C Brannbacka

Robert Bing

William P Umlauf

A steel strip annealing furnace with a dew point control system. The furnace/control system can be more readily controlled to the desired dew point than the prior art control system and can handle the set point changes required as different types of steel coils are continuously run therethrough.

Steelmaking furnace with humidity control device

A simplified tool is provided for simultaneous prediction of dent resistance and snap-through buckling resistance of roof panels including the effect of roof bow placement, curvatures of the roof panel, thickness of the roof, and steel grade. In one embodiment, a method of predicting snap-through buckling resistance of a sheet metal panel to an applied load under localized loading conditions is provided, wherein the sheet panel has certain defined geometries. The method includes the steps of: identifying first and second principal radii of curvature of the panel; identifying a thickness of the panel; identifying the distance of a portion of the panel between structural supports; creating a mathematical function to determine load deflection behavior for snap-through buckling; and determining the likelihood of the panel to display snap-through buckling characteristics under various localized applied loads by inputting the parameters.

System and method for prediction of snap-through buckling of formed steel sheet panels

The present invention involves a method and apparatus to reliably determine dent resistance to localized loading, for example, denting of sheet panels of vehicle. The method and apparatus contain the following attributes: (i) an accurate Finite Element Model of the localized loading process; (ii) a statistically designed experimental approach incorporating the effects of panel geometry, thickness, mechanical behavior of the material, forming process and loading condition; and (iii) programmed regression models that outputs the performance under localized loading of the sheet metal panel with panel geometry, thickness of the sheet material, mechanical behavior of the material, behavior during the forming process and loading conditions as inputs.

System and method for prediction of panel performance under localized loading conditions

Growing community of inventors

Chicago, IL, United States of America

Oscar Lanzi