Power Density Evaluation of Simulated and Measured Data Based on Equivalent Currents Method

2021 ◽  
Author(s):  
F. Mioc ◽  
L. Scialacqua ◽  
A. Scannavini ◽  
S. Anwar ◽  
L. J. Foged
Keyword(s):  
Power Density ◽  
Measured Data ◽  
Density Evaluation ◽  
Equivalent Currents

scholarly journals Fast Power Density Assessment of 5G Mobile Handset Using Equivalent Currents Method

2021 ◽  
pp. 1-1
Author(s):  
Wang He ◽  
Bo Xu ◽  
Lucia Scialacqua ◽  
Zhinong Ying ◽  
Alessandro Scannavini ◽  
...  
Keyword(s):  
Power Density ◽  
Fast Power ◽  
Mobile Handset ◽  
Density Assessment ◽  
Equivalent Currents

Advanced cross polar source diagnostics based on the equivalent currents reconstruction from measured data

2015 ◽  
Author(s):  
L. Scialacqua ◽  
L.J. Foged ◽  
F. Saccardi ◽  
G. Vecchi ◽  
J. L. Araque Quijano ◽  
...  
Keyword(s):  
Measured Data ◽  
Equivalent Currents

Suppression of Undesired Radiated Fields Based on Equivalent Currents Reconstruction From Measured Data

2011 ◽  
Vol 10 ◽  
pp. 314-317 ◽  
Author(s):  
Javier Leonardo Araque Quijano ◽  
Lucia Scialacqua ◽  
Jan Zackrisson ◽  
Lars Jacob Foged ◽  
Marco Sabbadini ◽  
...  
Keyword(s):  
Measured Data ◽  
Equivalent Currents

The Effect of Iron Cross-Section in Thermal Region on Neutron Transport in VVER-1000 Mock-Up in LR-0 Reactor

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Martin Schulc ◽  
Michal Košťál ◽  
Davit Harutyunyan ◽  
Marie Švadlenková ◽  
Vojtěch Rypar ◽  
...  
Keyword(s):  
Neutron Flux ◽  
Thermal Neutron ◽  
Power Density ◽  
Cross Section ◽  
Thermal Neutron Flux ◽  
Neutron Transport ◽  
Nuclear Data ◽  
Nuclear Data Library ◽  
Thermal Region ◽  
Density Evaluation

The iron cross-section in thermal regions influences the thermal neutron flux prediction in steel structural components of reactors and also in regions adjoining them. The thermal neutron flux level is proportional to pin power density in fuel. This quantity is an important criterion reflected in limits and conditions of reactor operation. The new power density evaluation shows notable, well distinguishable discrepancy between calculations realized using the CENDL-3.1 nuclear data library and experimentally determined pin power density in boundary rows of pins. All experiments were carried out in a water–water energetic reactor (VVER-1000) transport mock-up placed in the LR-0 reactor.

scholarly journals POWER DENSITY EVALUATION OF A NOVEL DOUBLE-STATOR MAGNETIC GEARED PERMANENT MAGNET GENERATOR

2018 ◽  
Vol 80 ◽  
pp. 19-36 ◽  
Author(s):  
Shehu Mustafa Salihu ◽  
Norhisam Misron ◽  
Mohammad Lutfi Othman ◽  
Tsuyoshi Hanamoto
Keyword(s):  
Permanent Magnet ◽  
Power Density ◽  
Density Evaluation ◽  
Permanent Magnet Generator

scholarly journals Fast Power Density Assessment of 5G Mobile Handset Using Equivalent Currents Method

2020 ◽  
Author(s):  
Wang He ◽  
Bo Xu ◽  
Lucia Scialacqua ◽  
Zhinong Ying ◽  
Alessandro Scannavini ◽  
...  
Keyword(s):  
Power Density ◽  
Phase Error ◽  
Assessment Method ◽  
Scanning System ◽  
Spatial Average ◽  
Exposure Limits ◽  
Compliance Testing ◽  
Fast Power ◽  
Mobile Handset ◽  
Equivalent Currents

<div>As the fifth-generation (5G) mobile communication</div><div>is utilizing millimeter-wave (mmWave) frequency bands, electromagnetic field (EMF) exposure emitted from a 5G mmWave mobile handset should be evaluated and compliant with the relevant EMF exposure limits in terms of peak spatial-average incident power density. In this work, a fast power density (PD) assessment method for a 5G mmWave mobile handset using the equivalent currents (EQC) method is proposed. The EQC method utilizes the intermediate-field (IF) data collected by a spherical measurement system to reconstruct the EQCs over a reconstruction surface, and then computes the PD in</div><div>close proximity of the mobile handset with acceptable accuracy. The performance of the proposed method is evaluated using a mmWave mobile handset mock-up equipped with four quasi-Yagi antennas. The assessed PD results are compared with those computed using full-wave simulations and also those measured with a planar near-field (NF) scanning system. In addition, three influencing factors related to the accuracy of the EQC method, namely, the angular resolution, the phase error, and the handset</div><div>position in the IF measurements, are also analyzed. The proposed method is a good candidate for fast PD assessment of EMF exposure compliance testing in the mmWave frequency range.</div>

scholarly journals Fast Power Density Assessment of 5G Mobile Handset Using Equivalent Currents Method

2020 ◽  
Author(s):  
Wang He ◽  
Bo Xu ◽  
Lucia Scialacqua ◽  
Zhinong Ying ◽  
Alessandro Scannavini ◽  
...  
Keyword(s):  
Power Density ◽  
Phase Error ◽  
Assessment Method ◽  
Scanning System ◽  
Spatial Average ◽  
Exposure Limits ◽  
Compliance Testing ◽  
Fast Power ◽  
Mobile Handset ◽  
Equivalent Currents

<div>As the fifth-generation (5G) mobile communication</div><div>is utilizing millimeter-wave (mmWave) frequency bands, electromagnetic field (EMF) exposure emitted from a 5G mmWave mobile handset should be evaluated and compliant with the relevant EMF exposure limits in terms of peak spatial-average incident power density. In this work, a fast power density (PD) assessment method for a 5G mmWave mobile handset using the equivalent currents (EQC) method is proposed. The EQC method utilizes the intermediate-field (IF) data collected by a spherical measurement system to reconstruct the EQCs over a reconstruction surface, and then computes the PD in</div><div>close proximity of the mobile handset with acceptable accuracy. The performance of the proposed method is evaluated using a mmWave mobile handset mock-up equipped with four quasi-Yagi antennas. The assessed PD results are compared with those computed using full-wave simulations and also those measured with a planar near-field (NF) scanning system. In addition, three influencing factors related to the accuracy of the EQC method, namely, the angular resolution, the phase error, and the handset</div><div>position in the IF measurements, are also analyzed. The proposed method is a good candidate for fast PD assessment of EMF exposure compliance testing in the mmWave frequency range.</div>

scholarly journals Fast Power Density Assessment of 5G Mobile Handset Using Equivalent Currents Method

2021 ◽  
Author(s):  
Wang He ◽  
Bo Xu ◽  
Lucia Scialacqua ◽  
Zhinong Ying ◽  
Alessandro Scannavini ◽  
...  
Keyword(s):  
Power Density ◽  
Phase Error ◽  
Assessment Method ◽  
Scanning System ◽  
Spatial Average ◽  
Exposure Limits ◽  
Compliance Testing ◽  
Fast Power ◽  
Mobile Handset ◽  
Equivalent Currents

<div>As the fifth-generation (5G) mobile communication is utilizing millimeter-wave (mmWave) frequency bands, electromagnetic field (EMF) exposure emitted from a 5G mmWave mobile handset should be evaluated and compliant with the relevant EMF exposure limits in terms of peak spatial-average incident power density. In this work, a fast power density (PD) assessment method for a 5G mmWave mobile handset using the equivalent currents (EQC) method is proposed. The EQC method utilizes the intermediate-field (IF) data collected by a spherical measurement system to reconstruct the EQCs over a reconstruction surface, and then computes the PD in close proximity of the mobile handset with acceptable accuracy. The performance of the proposed method is evaluated using a mmWave mobile handset mock-up equipped with four quasi-Yagi antennas. The assessed PD results are compared with those computed using full-wave simulations and also those measured with a planar near-field (NF) scanning system. In addition, three influencing factors related to the accuracy of the EQC method, namely, the angular resolution, the phase error, and the handset position in the IF measurements, are also analyzed. The proposed method is a good candidate for fast PD assessment of EMF exposure compliance testing in the mmWave frequency range.</div>

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