Results 251 to 260 of about 27,955 (309)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

Maximizing the lift coefficient of a jet-blown contour [PDF]

open access: yesDoklady Physics, 2007
The modeling of a jet blow by a point source for maximizing the lift coefficient of a jet-blown contour and to find the exact upper estimate for the lift coefficient of wing profiles was discussed. The approach to solve this problem is based on the theory of inverse boundary value problems of aerodynamics.
Abzalilov D.
openaire   +5 more sources

A Theoretical Investigation of the Maximum-lift Coefficient

The Journal of the Royal Aeronautical Society, 1935
The problem of the maximum lift of airfoils has concerned the authors greatly since there were first discovered in the spring of 1932 serious discrepancies in this characteristic between results obtained in the wind tunnel of the Guggenheim Aeronautics Laboratory at the California Institute of Technology (GALCIT) and those reported from certain other ...
Th. von Kármán, Clark B. Millikan
openaire   +1 more source

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