The relation between the energy conversion rate and reconnection rate in Petschek-type reconnection—Implications for solar flares

2021 ◽  
Vol 28 (8) ◽  
pp. 082103
Author(s):  
Matthew Goodbred ◽  
Yi-Hsin Liu ◽  
Bin Chen ◽  
Xiaocan Li
Keyword(s):  
Energy Conversion ◽  
Solar Flares ◽  
Conversion Rate ◽  
Reconnection Rate

Effect of Coil Parameters on Rivet Deformation in Low Voltage Electromagnetic Riveting

2012 ◽  
Vol 602-604 ◽  
pp. 1887-1890
Author(s):  
Jiang Hua Deng ◽  
Chao Tang ◽  
Yi Ming Zheng ◽  
Yan Ran Zhan
Keyword(s):  
Energy Conversion ◽  
Cross Section ◽  
Discharge Current ◽  
Conversion Rate ◽  
Low Voltage ◽  
Current Amplitude ◽  
Deformation Degree ◽  
Section Size ◽  
Wire Cross Section ◽  
Electromagnetic Riveting

Electromagnetic riveting is a kind of energy conversion technology and forming coil is the key component of energy conversion. Coil parameters include the turns and wire cross section size. The effects of coil parameters on discharge current, riveting force, rivet deformation degree and energy conversion rate were investigated by experimental method in low voltage electromagnetic riveting. The results show that with the coil turns increasing, coil inductance increases, discharge current amplitude decreases, cycle increases, rivet deformation degree increases and the energy conversion rate improves when the coil wire cross section size is the same. And with the coil wire width increasing, the coil resistance decreases, discharge current amplitude increases, rivet deformation degree increases and the energy conversion rate improves when the coil turns is same. By rational design of coil turns and wire section size, low voltage electromagnetic riveting is an effective way to realize deformation of strain rate sensitive material TA1 rivets.

scholarly journals Effect of Agricultural Feedstock to Energy Conversion Rate on Bioenergy and GHG Emissions

2015 ◽  
Vol 7 (5) ◽  
pp. 5981-5995 ◽  
Author(s):  
Chih-Chun Kung ◽  
Meng-Shiuh Chang
Keyword(s):  
Energy Conversion ◽  
Conversion Rate ◽  
Ghg Emissions

scholarly journals DEFINITION OF THE RECONNECTION RATE OF MOST POWERFUL SOLAR FLARES

2020 ◽  
Vol 6 (334) ◽  
pp. 61-67
Author(s):  
A. Sarsembayeva ◽  
◽  
F. Belisarova ◽  
M. Odsuren ◽  
A. Sarsembay ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Flux Density ◽  
Solar Flares ◽  
Universal Time ◽  
Magnetic Flux Density ◽  
Physical Parameters ◽  
Reconnection Rate ◽  
Scale Size ◽  
Definition Of ◽  
Physical Quantities

We observed top 10 X-class solar flares registered in the period November 1997 - September 2017. We measure physical parameters of 10 solar flares, such as the temporal scale, size, and magnetic flux density, and find that the sizes of flares tend to be distributed more broadly as the GOES class becomes weaker and that there is a lower limit of magnetic flux density that depends on the GOES class. We also made a brief analysis of solar flares registered in these days, also has shown the duration of time and peak of solar flares in Universal time. We have identified several physical quantities of solar flares and estimated reconnection rate of solar flares. To determine the physical parameters we used images taken with the AIA instrument on board SDO satellite at wavelengths 131 Å, 174 Å, 193 Å, 211 Å, 335 Å, 1600 Å, 1700 Å, 4500 Å, SXT - pictures, HMI Magnetogram, SOLIS Chromospheric Magnetogram, GOES XRT-data. We estimate reconnection inflow velocity, coronal Alfven velocity, and reconnection rate using the observed values. The inflow velocities are distributed from a few km s-1 to several tens of km s-1, and the Alfven velocities in the corona are in the range from 103 to 104 km s-1. Hence, the reconnection rate is 10-3. We find that the reconnection rate in a flare tends to decrease as the GOES class of the flare increases.

scholarly journals Measurement of the Energy Release Rate and the Reconnection Rate in Solar Flares

2005 ◽  
Vol 632 (2) ◽  
pp. 1184-1195 ◽  
Author(s):  
Hiroaki Isobe ◽  
Hiroyuki Takasaki ◽  
Kazunari Shibata
Keyword(s):  
Energy Release Rate ◽  
Energy Release ◽  
Release Rate ◽  
Solar Flares ◽  
Reconnection Rate

High Electromechanical Coupling Piezoelectrics - How High Energy Conversion Rate is Possible

1996 ◽  
Vol 459 ◽  
Author(s):  
Kenji Uchino
Keyword(s):  
Energy Conversion ◽  
Lead Zirconate Titanate ◽  
Conversion Rate ◽  
Electromechanical Coupling ◽  
Crystal Form ◽  
Lead Zirconate ◽  
High Energy ◽  
Coupling Factor ◽  
Lead Zinc ◽  
Titanate Ceramics

ABSTRACTA new category of piezoelectric ceramics with very high electromechanical coupling was discovered in a lead zinc niobate:lead titanate solid solution in a single crystal form. The maximum coupling factor k33 reaches 95%, which corresponds to the energy conversion rate twice as high as the conventional lead zirconate titanate ceramics. This paper reviews the previous studies on superior piezoelectricity in relaxor ferroelectric: lead titanate solid solutions and on the possible mechanisms of this high electromechanical coupling.

scholarly journals Effect of different lysine-metabolized energy ratio on performance of meat-type geese

2017 ◽  
pp. 39-42
Author(s):  
Ádám Dobos ◽  
Péter Bársony ◽  
János Posta ◽  
László Babinszky
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Energy Conversion ◽  
Feed Intake ◽  
Conversion Rate ◽  
Body Weight Gain ◽  
Energy Ratio ◽  
Feeding Costs ◽  
Growth Performances ◽  
Meat Type

The aim of the experiment was to determine, how the different ratios of the digestibility lysine/ metabolized energy (0.82, 0.87, 0.91 g DLYS/MJ AMEn) of the feed influence the performance of geese. There were 150 goslings (3 treatments, 5 cages/treatments, 10 birds/cages). The experiment has started and finished at the age of 3 and 9 weeks, respectively.The results of the experiment showed, the different ratios of DLYS/AMEn (0.82, 0.87, 0.91 g DLYS/MJ AMEn) did not influence the performance of young geese. Better growth performances were found for the 0.91 g DLYS/AMEn feed (feed intake, body weight gain, feed and energy conversion rate). This treatment coincided with high feeding costs. Based on these results we need more models and farm experiments to prove this tendency.

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