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Simulation and Analysis of Sintering Furnace Temperature Based on Fuzzy Neural Network Control

Zou Chaoxin Li Rong Xie Zhiping Su Ming Zeng Jingshi Ji Xu Ye Xiaoli Wang Ye
Archives of Foundry Engineering | 2021 | vo. 21 | No 1 | 23-30 | DOI: 10.24425/afe.2021.136074
Keywords Fuzzy neural network Furnace temperature control PID
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Abstract

Aiming at the problems of delay and couple in the sintering temperature control system of lithium batteries, a fuzzy neural network controller that can solve complex nonlinear temperature control is designed in this paper. The influence of heating voltage, air inlet speed and air inlet volume on the control of temperature of lithium battery sintering is analyzed, and a fuzzy control system by using MATLAB toolbox is established. And on this basis, a fuzzy neural network controller is designed, and then a PID control system and a fuzzy neural network control system are established through SIMULINK. The simulation shows that the response time of the fuzzy neural network control system compared with the PID control system is shortened by 24s, the system stability adjustment time is shortened by 160s, and the maximum overshoot is reduced by 6.1%. The research results show that the fuzzy neural network control system can not only realize the adjustment of lithium battery sintering temperature control faster, but also has strong adaptability, fault tolerance and anti-interference ability.
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Authors and Affiliations

Zou Chaoxin
1
Li Rong
1
Xie Zhiping
1
Su Ming
1
Zeng Jingshi
2
Ji Xu
1
Ye Xiaoli
1
Wang Ye
1
  1. Guizhou Normal University, China
  2. Guizhou Zhenhua New Material Co., Ltd., China

Bed-To-Wall Heat Transfer in a Supercritical Circulating Fluidised Bed Boiler

Wojciech Nowak Artur Błaszczuk Szymon Jagodzik
Chemical and Process Engineering | 2014 | No 2 June | 191-204 | DOI: 10.2478/cpe-2014-0015
Keywords heat transfer coefficient suspension density furnace temperature circulating fluidised bed supercritical CFB boiler cluster renewal approach
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Abstract

The purpose of this work is to find a correlation for heat transfer to walls in a 1296 t/h supercritical circulating fluidised bed (CFB) boiler. The effect of bed-to-wall heat transfer coefficient in a long active heat transfer surface was discussed, excluding the radiation component. Experiments for four different unit loads (i.e. 100% MCR, 80% MCR, 60% MCR and 40% MCR) were conducted at a constant excess air ratio and high level of bed pressure (ca. 6 kPa) in each test run. The empirical correlation of the heat transfer coefficient in a large-scale CFB boiler was mainly determined by two key operating parameters, suspension density and bed temperature. Furthermore, data processing was used in order to develop empirical correlation ranges between 3.05 to 5.35 m·s-1 for gas superficial velocity, 0.25 to 0.51 for the ratio of the secondary to the primary air, 1028 to 1137K for bed temperature inside the furnace chamber of a commercial CFB boiler, and 1.20 to 553 kg·m-3 for suspension density. The suspension density was specified on the base of pressure measurements inside the boiler’s combustion chamber using pressure sensors. Pressure measurements were collected at the measuring ports situated on the front wall of the combustion chamber. The obtained correlation of the heat transfer coefficient is in agreement with the data obtained from typical industrial CFB boilers.

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Authors and Affiliations

Wojciech Nowak
Artur Błaszczuk
Szymon Jagodzik

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