煤的性质对其热解行为和产物分布有重要的影响。
The fixed bed study indicates that coal properties and pyrolysis conditions are effect product distribution and sulfur transformation.
分别应用热天平和管式炉反应器对废电路板的热解行为进行实验研究。
The experimental study has been done in a thermo-gravimetric analyzer(TG) and in a laboratory scale tubular furnace reactor, respectively.
针对常见可燃物在典型火场情形中的热解行为提出了一种考虑水分影响的数学模型。
A mathematical model of the wood pyrolysis based on typical materials in fire which includes effects of moisture is presented.
利用热分析技术对阻燃电缆绝缘材料在不同升温速率下的热解行为进行了实验研究。
The insulative material of fire retardant cable is studied by thermogravimetric analysis technology in different heating speed.
采用热重和示差扫描量热技术(TG - DSC)对改性前后煤沥青的热解行为进行了分析。
Thermal behavior of modified coal tar pitch was analyzed with thermogravimetric and differential scanning calorimetry (TG-DSC).
采用TG- DSC - FTIR、TG技术研究了填充聚四氟乙烯(PTFE)在氮气气氛下的热解行为与热解规律。
The pyrolysis behavior and characteristics of filled polytetrafluoroethylene (PTFE) are studied in the atmosphere of nitrogen with TG-DSC-FTIR and TG.
充分利用煤颗粒在自由落下床反应器中停留时间短的特点，直接用空气做载气，对自由落下床反应器中煤在氧化性气氛下的快速热解行为和硫的变迁进行了研究。
Considering the very short particle residence time in the free-fall reactor, air was directly used as carrier gas to study the fast pyrolysis and sulfur evolution of coal under oxidizing atmosphere.
采用扫描电镜观察改性煤沥青的形貌；采用热解重量分析仪分析改性沥青的热行为。
Shapes of coal tar pitch modified were observed through SEM and thermal behavior was analyzed with Thermo-Gravimetric Analysis (TGA).
探讨了升温速率和热解温度对毛竹emal热失重行为的影响。
The effects of heating rate and temperature on the pyrolysis behaviors of EMAL are investigated.
三元乙丙橡胶防水卷材；燃烧行为；热解；试样宽度； 放置角度；火焰高度；
EPDM rubber waterproof sheet; combustion behavior; pyrolysis; width effects; sample orientation; flame height;
对废轮胎在鼓泡流化床热解反应器中热解时硫的迁移行为进行了试验研究，并基于带偏差单元的IRN神经网络对其进行了预测。
The sulfur transformation during pyrolysis of used tires is studied in BFB reactor, and IRN neural network model is developed to test against observed behavior.
对废轮胎在鼓泡流化床热解反应器中热解时硫的迁移行为进行了试验研究，并基于带偏差单元的IRN神经网络对其进行了预测。
The sulfur transformation during pyrolysis of used tires is studied in BFB reactor, and IRN neural network model is developed to test against observed behavior.
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