Results 21 to 30 of about 3,243,734 (347)

CHARACTERIZATION OF WELD HEAT INPUT EFFECTS ON MECHANICAL PROPERTIES OF Cr-Mo STEEL BAR USING TIG WELDING PROCESS [PDF]

open access: yesEuropean Journal of Materials Science and Engineering, 2021
Welding as an energy-consuming process is inevitable as-welded joint can be subject to various loads without failure. Therefore, this paper presents the welding thermal cycle of Cr-Mo steel bar (ASTM A304) of dimensions 100 by 50 and various thicknesses ...
Reuben Adebare ADEWUYI   +1 more
doaj   +1 more source

Sewing Thread Consumption for Different Lockstitches of Class 300 Using Geometrical and Multi-Linear Regression Models

open access: yesAUTEX Research Journal, 2020
This paper aims to provide rapid and precise methods to allow industrials to predict the amount of sewing thread needed to sew a garment using different lockstitches of class 300 (301, 301/301, 304, 308, 309, 310, 311, 312, and 315).
Sarah Malek   +3 more
doaj   +1 more source

Prediction of Sewing Thread Consumption for Over-Edge Stitches Class 500 Using Geometrical and Multi-Linear Regression Models

open access: yesAUTEX Research Journal, 2021
Rapid and precise methods (geometrical and statistical), which aim to predict the amount of sewing thread needed to sew a garment using different over-edge stitches of class 500 (501, 503, 504, 505, 512, 514, 515, and 516), have been provided.
Sarah Malek   +2 more
doaj   +1 more source

Determination of deformation properties of soils as input parameters for calculation [PDF]

open access: yesMATEC Web of Conferences, 2020
When designing the foundations of any building structure, it is important to know not only the load of the structure, but also the deformation characteristics of the subsoil.
Panulinova Eva, Harabinova Slavka
doaj   +1 more source

Discovering an active subspace in a single-diode solar cell model [PDF]

open access: yes, 2015
Predictions from science and engineering models depend on the values of the model's input parameters. As the number of parameters increases, algorithmic parameter studies like optimization or uncertainty quantification require many more model evaluations.
Campanelli, Mark   +2 more
core   +1 more source

Input-output theory of the unconventional photon blockade [PDF]

open access: yes, 2013
We study the unconventional photon blockade, recently proposed for a coupled-cavity system, in presence of input and output quantum fields. Mixing of the input or output channels still allows strong photon antibunching of the output field, but for ...
Flayac, H., Savona, V.
core   +2 more sources

Factor analysis of input parameters with the strongest effects on the two phase flow model in an automatic rifle barrel

open access: yesVojnotehnički Glasnik, 2000
The one-factor experiment design has been applied in the analysis of all input parameters occurring in the two phase flow process in automatic rifle barrels. The parameters predominantly influencing input characteristics have been chosen afterwards.
Obrad Čabarkapa
doaj   +1 more source

The Dependence of Water Consumption on the Pressure Conditions and Sensitivity Analysis of the Input Parameters

open access: yesProceedings, 2018
The paper presents results and sensitivity analysis of the results of a real detailed study focused on changes in water consumption and its unevenness with changing pressure conditions in a particular observed office building.
Ladislav Tuhovcak   +2 more
doaj   +1 more source

Homogenization with uncertain input parameters [PDF]

open access: yesMathematica Bohemica, 2010
Summary: We homogenize a class of nonlinear differential equations set in highly heterogeneous media. Contrary to the usual approach, the coefficients in the equation characterizing the material properties are supposed to be uncertain functions from a given set of admissible data. The problem with uncertainties is treated by means of the worst scenario
openaire   +2 more sources

Accounting for input-model and input-parameter uncertainties in simulation [PDF]

open access: yesIIE Transactions, 2004
To account for the input-model and input-parameter uncertainties inherent in many simulations as well as the usual stochastic uncertainty, we present a Bayesian input-modeling technique that yields improved point and confidence-interval estimators for a selected posterior mean response. Exploiting prior information to specify the prior probabilities of
FAKER ZOUAOUI, JAMES R. WILSON
openaire   +1 more source

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