A Simple Numerical Model for LPBF AM Powder Reuse and Experimental Design for Model Verification

Mapping Intimacies ◽

10.6028/nist.ams.100-38 ◽

2020 ◽

Author(s):

Aniruddha Das ◽

Jordan Weaver ◽

Shawn Moylan ◽

M. Alkan Donmez

Keyword(s):

Experimental Design ◽

Numerical Model ◽

Model Verification ◽

Simple Numerical Model

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Experimental Data Collection for Numerical Model Verification for Wood Stove

Springer Proceedings in Energy - Renewable Energy Sources: Engineering, Technology, Innovation ◽

10.1007/978-3-030-13888-2_38 ◽

2019 ◽

pp. 381-389

Author(s):

Marcin Wikło ◽

Przemysław Motyl ◽

Krzysztof Olejarczyk ◽

Krzysztof Kołodziejczyk ◽

Rafał Kalbarczyk ◽

...

Keyword(s):

Experimental Data ◽

Numerical Model ◽

Data Collection ◽

Model Verification ◽

Experimental Data Collection

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Applying Simple Numerical Model to Predict Methane Emission from Landfill

Journal of Applied Sciences ◽

10.3923/jas.2007.1511.1515 ◽

2007 ◽

Vol 7 (11) ◽

pp. 1511-1515 ◽

Author(s):

Nader Shariatmad ◽

Mohammad Reza Sabour ◽

Hamidreza Kamalan ◽

Arash Mansouri ◽

Mostafa Abolfazlza

Keyword(s):

Numerical Model ◽

Methane Emission ◽

Simple Numerical Model

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A simple numerical model for the aeroelastic analysis of cable-stayed bridges

Journal of Wind Engineering and Industrial Aerodynamics ◽

10.1016/s0167-6105(99)00107-5 ◽

2000 ◽

Vol 84 (3) ◽

pp. 263-271 ◽

Author(s):

C.E.N. Mazzilli ◽

J.C. André ◽

M.E.S. Soares ◽

I.B. Ramos

Keyword(s):

Numerical Model ◽

Aeroelastic Analysis ◽

Simple Numerical Model ◽

Cable Stayed Bridges

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A Review of some Recent Radiation Fog Prediction Studies and the Results of Integrating a Simple Numerical Model to Predict Radiation Fog over Brunei

Pure and Applied Geophysics ◽

10.1007/s00024-003-8775-6 ◽

2003 ◽

Vol 160 (1-2) ◽

pp. 239-250 ◽

Author(s):

G.V. Rao ◽

J. O'Sullivan

Keyword(s):

Numerical Model ◽

Radiation Fog ◽

Fog Prediction ◽

Simple Numerical Model

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Development and use of a simple numerical model to quantify the impact of key photovoltaics system parameters on the levelized cost of electricity

2012 38th IEEE Photovoltaic Specialists Conference ◽

10.1109/pvsc.2012.6318200 ◽

2012 ◽

Author(s):

Moon Hee Kang ◽

Ajeet Rohatgi

Keyword(s):

Numerical Model ◽

Levelized Cost Of Electricity ◽

System Parameters ◽

Cost Of Electricity ◽

Levelized Cost ◽

Simple Numerical Model

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A new simple numerical model based on experimental scorch curve data fitting for the interpretation of sulphur vulcanization

Journal of Mathematical Chemistry ◽

10.1007/s10910-010-9689-z ◽

2010 ◽

Vol 48 (3) ◽

pp. 530-557 ◽

Author(s):

G. Milani ◽

F. Milani

Keyword(s):

Numerical Model ◽

Data Fitting ◽

Model Based ◽

Sulphur Vulcanization ◽

Simple Numerical Model

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An empirical statistical detection of non-ideal field distribution in a reverberation chamber confirmed by a simple numerical model based on image theory

annals of telecommunications - annales des télécommunications ◽

10.1007/s12243-011-0260-0 ◽

2011 ◽

Vol 66 (7-8) ◽

pp. 445-455 ◽

Author(s):

Emmanuel Amador ◽

Christophe Lemoine ◽

Philippe Besnier

Keyword(s):

Numerical Model ◽

Field Distribution ◽

Image Theory ◽

Reverberation Chamber ◽

Model Based ◽

Statistical Detection ◽

Simple Numerical Model

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Simple numerical model describing discharge parameters in orificed hollow cathode devices

10.2514/6.1997-2791 ◽

1997 ◽

Author(s):

Marco Capacci ◽

Marco Minucci ◽

Alberto Severi ◽

Marco Capacci ◽

Marco Minucci ◽

...

Keyword(s):

Numerical Model ◽

Hollow Cathode ◽

Discharge Parameters ◽

Simple Numerical Model

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A Review of some Recent Radiation Fog Prediction Studies and the Results of Integrating a Simple Numerical Model to Predict Radiation Fog over Brunei

Air Quality ◽

10.1007/978-3-0348-7970-5_14 ◽

2003 ◽

pp. 239-250 ◽

Author(s):

Gandikota V. Rao ◽

James O’Sullivan

Keyword(s):

Numerical Model ◽

Radiation Fog ◽

Fog Prediction ◽

Simple Numerical Model

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OPTIMISATION OF MONTE CARLO BURNUP SIMULATIONS

EPJ Web of Conferences ◽

10.1051/epjconf/202124704016 ◽

2021 ◽

Vol 247 ◽

pp. 04016

Author(s):

Jan Dufek ◽

Ignas Mickus

Keyword(s):

Monte Carlo ◽

Numerical Model ◽

Free Parameters ◽

Set Up ◽

Simple Numerical Model

We show here that computing efficiency of Monte Carlo burnup simulations depends on chosen values of certain free parameters, such as the length of the time steps and the number of neutron histories simulated at each Monte Carlo criticality run. The efficiency can thus be improved by optimising these parameters. We have set up a simple numerical model that made it possible for us to test a large number of combinations of the free parameters, and suggest a way to optimise their selection.

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