In-depth study of the evolving thermal runaway and thermal gradient in the dog bone sample during flash sintering using finite element analysis

2020 ◽  
Vol 46 (8) ◽  
pp. 10370-10378 ◽  
Author(s):  
Ammar Eqbal ◽  
Kumar Sadanand Arya ◽  
Tamoghna Chakrabarti
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Thermal Gradient ◽  
Thermal Runaway ◽  
Bone Sample ◽  
Element Analysis ◽  
Flash Sintering ◽  
Dog Bone ◽  
Depth Study

scholarly journals Numerical Simulation on Thermodynamics Performance in the Fireproof Sealing by Finite Element Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Shuai Gao ◽  
Guoqing Zhu ◽  
Yunji Gao ◽  
Guoqiang Chai ◽  
Jinju Zhou
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Temperature Field ◽  
Thermal Gradient ◽  
Thermal Flux ◽  
Ansys Software ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Thermodynamic Performance ◽  
Temperature Time

In this paper, the finite element analysis was firstly employed to investigate the thermal analysis on two fireproof sealing models with ANSYS software under HC standard temperature-time condition. The main thermal parameters were analyzed and obtained, including temperature field, thermal flux, and thermal gradient. After comparing the two fireproof sealing models, the major conclusions are summarized as follows: In terms of temperature field, the temperature on the left side of the first model ranges from 60 to 524°C in. In contrast, the highest temperature on the left side of the second model eventually reaches below 151°C. Moreover, the vectors of thermal gradient in the first model are compared with the second model, and the temperature gradient disturbance is more obvious in the second fireproof sealing model, which is better to slow down temperature spreading. The accelerated speed of E1 and G1 is 0.0096°C/s and 0.0619°C/s partly, which are far more than C2 and F2 with values of 0.0028°C/s and 0.0078°C/s, respectively. In a word, the performance of the first fireproof sealing model is inferior to the second fireproof sealing model. The conclusions of the study are meaningful to improve the thermodynamic performance of the fireproof sealing in the converter station.

conversion, 137-140 Extensometers, 188-189 multiplexing, 137,148-149 processing, 150-151 quantization, 139-140 Dead band, 108 Feather, 9-10 flatness, 578-587, 776-779 Filter, 137-138, 149-150 floating, 275-277 cut-off frequency, 149-150 Decibels, 223-224 pass band, 149-150 Discrimination, 108 stop band, 149-150 Distribution, normal, 77-78 Finite element analysis, 415-416, 461-473, Dog bone 479-480, 529-534 rolling, 441-442 Fish tail, 15-16,340-346, 406,430 shape, 12-13, 328-333 Flatness Doppler sensors, 117-119,134-135 error, 93 Drift, 108 performance, 93 Drives, 214-215 Flowmeters, 117 Frequency E break, 241 crossover, 241 Edge Friction, 218 cross-sectional static, 109 profile, 315-316 Fuzzy inference method, 798-799 shape, 13-14,347-349 drop, 9-10, 638-640, 736, 779,782-783 overlap, 413 thinning ratio, 610-612 Gages Edgers, 356-362,429-436 strain, 127 Edging thickness, 175-180 combined, 179-180 by rolling, 315-350 capability, 358 isotope, 177-180 efficiency, 333-334, 337-338, 387-389 optical, 176-177 practice, 360-367 profile, 749-750 rolls, 334-340,349, 358, 360, 401-402, 410 X-ray, 178-180, 747-748 Errors Gauge analysis of, 112 change, flying, 169-171 band, 109 control data transmission, 151-152 adaptive threading, 215-216 compensation, 169,218-219 illegitimate, 151-154 legitimate, 151 deviation, 199-200 position, 225, 239-241 differential, 197-198 propagation of, 112-113 dynamic, 212 random, 112 feedback, 197,199,212 feedforward, 199-200,208, 212, 215-217, signal conditioning, 151 278-281 recovery, 151-152 flow-stress feedforward, 208-209 high/low frequency, 212 sampling, 154-155 sensing, 151 in-gap, 278 mass flow, 211-212 systematic, 112

1993 ◽  
pp. 824-830
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Flow Stress ◽  
Fuzzy Inference ◽  
Stop Band ◽  
Low Frequency ◽  
Pass Band ◽  
Element Analysis ◽  
Cross Sectional ◽  
Dog Bone

Cutting Force Analysis of Large Branch Crusher Based on the Finite Element

2012 ◽  
Vol 152-154 ◽  
pp. 900-905
Author(s):  
Sheng Tong Yu ◽  
Chun Mei Yang ◽  
Chang Qing Ren ◽  
Ge Luo
Keyword(s):  
Power Generation ◽  
Finite Element Analysis ◽  
Finite Element ◽  
Cutting Force ◽  
Cutting Forces ◽  
Raw Materials ◽  
Force Analysis ◽  
Element Analysis ◽  
Large Branch ◽  
Depth Study

At present, our country has stepped up efforts to develop biomass power generation. However, due to the mill not in-depth study of cutting forces and factors in the design of branches crusher which led to the branches crusher can not meet domestic branches of biomass power generation’s demand to raw materials. In the article, the cutting force of the branches grinding has been studied based on BX218 branches crusher. The formula for calculating the cutting force has been deduced. The factors that affect the cutting force have been identified. Finally, ANSYS finite element analysis carried out on the Flying, which is effected by the cutting force.

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