Results 231 to 240 of about 3,465,599 (389)
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT The supercritical drive shaft is becoming increasingly popular in helicopter transmission system. Dry friction dampers are specially employed to ensure the supercritical shafts crossing the critical speed safely. Due to design tolerances, manufacturing errors and time‐varying factors, the parameters of the damper are inherently uncertain ...
Liyao Song +4 more
wiley +1 more source
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT The present study develops a finite element‐based numerical method for simulation of frictional rotational sliding induced damage and heating effects on rock. The method is applied to the Sievers’ J‐ miniature drill test, which is widely used for estimating the rock drillability and predicting the cutter life.
Timo Saksala +8 more
wiley +1 more source
Lumped Parameter Thermal Modeling of Permanent Magnet Synchronous Motor [PDF]
, 2019 Andrej Kacenka +3 more
openalex +1 more source
Thermal Modelling and Analysis of A 10HP Induction Machine Using the Lumped Parameter Approach
, 2021 Oti Stephen Ejiofor +3 more
openalex +2 more sources
Oikos, EarlyView.Parasite occurrence and infection estimates vary through time and space, making understanding the underlying drivers highly complex. Comparative studies based on empirical data must consider the factors of variation involved in estimating infection metrics in natural populations to make appropriate and reliable comparisons. Using a multi‐scale approach,
Juliane Vigneault +2 more
wiley +1 more source
Lumped Parameter Modeling of a Quantum Optics Circuit and Decisive Test for Time-Symmetric Physics [PDF]
, 2013 Paul J. Werbos
openalex
Simple formulas for estimating a lumped parameter model to reproduce impedances of end-bearing pile foundations [PDF]
, 2019 Michele Morici +4 more
openalex +1 more source
Progress in Photovoltaics: Research and Applications, EarlyView.Machine learning (ML) enables fast and reliable prediction of series resistance and dark saturation current maps from voltage‐dependent electroluminescence of silicon solar cells. Two ML algorithms, a multilayer perceptron (MLP) and a modified U‐NET (mU‐NET), are analyzed. They are compared to nonlinear least squares fitting to assess their performance.
Erell Laot +3 more
wiley +1 more source