Washington / DC / Philadelphia / ASME / Vienna / Palo Alto / New York / /
Company
Mead / Rt matrix Rt / J. B. Hubbard S. P. / McGraw-Hill / MeBoo Publishing / John Wiley & Sons / Engineering Laboratory / /
Country
Austria / United States / / /
Facility
National Institute of Standards and Technology / Information Technology Laboratory / Institute of Materials / /
IndustryTerm
metal / These imaging conditions / sheet metal forming / metal sheet / metal forming / statistical computing / high strength steel / transportation industry / automotive applications / predictive tool / /
Organization
National Institute of Standards and Technology / Institute of Materials / Minerals and Mining Published / Aluminum Association / NIST Centre for Metal Forming / Foundation for Statistical Computing / US Government / NIST Centre for Metal Forming / Materials Science and Engineering Laboratory / Information Technology Laboratory / USA Statistical Engineering Division / /
Person
K. Matsui / K. Chung / J. C. Brem / D. J. Lege / S. J. Murtha / S. Hattori / / /
Position
similarly large Rt / *Corresponding author / fitted Rt / analysis and graphics.26 The Rt / Rt / local Rt / valley surface roughness parameter Rt / individual Rt / corresponding Rt / median Rt / officer / model Rt data topographic measurement / /
Topographic analysis and Weibull regression for prediction of strain localisation in an automotive aluminium alloy J. B. Hubbard1, M. R. Stoudt*1 and A. M. Possolo2 We fit a two-parameter Weibull regression model by maxi