101. Estimating the strain-rate-dependent parameters of the Johnson-Cook material model using optimisation algorithms combined with a response surfaceAndrej Škrlec, Jernej Klemenc, 2020, original scientific article Keywords: strain rate, finite-element method, design of experiment, Taguchi orthogonal array, response surface, evolutionary algorithm, Johnson-Cook material mode Full text (file, 3,13 MB) This document has more files! More... |
102. Comprehensive modelling of the hysteresis loops and strain-energy density for low-cycle fatigue-life predictions of the AZ31 magnesium alloyJernej Klemenc, Domen Šeruga, Aleš Nagode, Marko Nagode, 2019, original scientific article Keywords: magnesium AZ31, variable loading history, low-cycle fatigue, hysteresis-loop model, energy approach Full text (file, 20,12 MB) This document has more files! More... |
103. Prediction of static and low-cycle durability of porous cellular structures with positive and negative Poisson's ratiosDejan Tomažinčič, Matej Vesenjak, Jernej Klemenc, 2020, original scientific article Keywords: low-cycle fatigue, element removal, XFEM, aluminium alloy, auxetic, honeycomb, strain-energy density Full text (file, 2,60 MB) This document has more files! More... |
104. Razvoj koničnega sitaBojan Bučar, 2020, master's thesis Keywords: konična sita, kotni prenosniki, čistljivost, surovine, prehrambena industrija, gredi, zobniki, površine, obremenitve Full text (file, 6,76 MB) |
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107. Improved initialization of the EM algorithm for mixture model parameter estimationBranislav Panić, Jernej Klemenc, Marko Nagode, 2020, original scientific article Keywords: mixture model, parameter estimation, EM algorithm, REBMIX algorithm, density estimation, clustering, image segmentation Full text (file, 9,24 MB) This document has more files! More... |
108. Gaussian mixture model based classification revisitedBranislav Panić, Jernej Klemenc, Marko Nagode, 2020, original scientific article Keywords: Gaussian mixture models, classification, bearing fault estimation, parameter estimation, performance of classification methods Full text (file, 1,01 MB) This document has more files! More... |
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