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燃烧器传热特性及稳燃机理研究 被引量:1

Study of Heat Transfer and Stable Combustion Mechanism of Burners
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摘要 给出旋流燃烧器轴向壁温分布数学模型,通过试验验证了数学模型的合理性,并讨论了旋流燃烧器的稳燃机理。 The mathematical model of axial wall temperature distribution of turbulent burner is set up. The mathematical model is test by experiment. The stable combustion of turbulent burner is also described.
出处 《电站系统工程》 北大核心 2001年第2期108-110,共3页 Power System Engineering
关键词 旋流燃烧器 传热特性 稳燃机理 数学模型 锅炉 turbulent burner humidity/moisture mathematical model stable combustion
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  • 1许昌,吕剑虹,曾庆广,郑源.800MW锅炉旋流燃烧器空气动力场试验与数值仿真研究[J].中国电机工程学报,2004,24(8):201-204. 被引量:13
  • 2李文军,黄伟,曾伟胜,刘赞衡.EI-XCL双调风旋流燃烧器在W型锅炉上的试验研究[J].华中电力,2006,19(2):22-25. 被引量:4
  • 3方剑,席裕庚.神经网络结构设计的准则和方法[J].信息与控制,1996,25(3):156-164. 被引量:21
  • 4Huang Ying, Vigor Y. Effect of swirl on combustion dynamics in a lean-premixed swirl-stablilized combustor[J]. Proceedings of the Combustion Institute, 2005, 30(2), 1775-1782.
  • 5Li Zhengqi, Sun Rui, Chen Lizhe, et al. Effect of primary air flow types in particle distributions in the near swirl burner region[J]. Fuel, 2002, 81(81): 829-835 .
  • 6Mauris G, Benoit E, Foulloy L. The aggregation of information by examples via fuzzy sensors[C]. Proceedings of the Third IEEE Conference on Fuzzy Systems, Orlando, USA, 1994.
  • 7Toshio F, Koji S, Fumihito A, et al. Multisensor integration system based on fuzzy inference and neural network[J]. Information Sciences, 1993, 71(1):27-41.
  • 8Billings S A, Jamaluddin H B, Chen S. Properties of neural networks with applications to modelling nonlinear dynamical systems [J]. Intemational JournalofControh 1992, 55(1): 193-224.
  • 9Tarek M N, Albert Y Z. Toward generating neural network structures for function approximation[J]. Neural Network, 1994, 7(1): 89-99.
  • 10Fang Y, Kincaid T G. Stability analysis of dynamical neural network [J]. IEEE Trans on Neural networks, 1996, 7(4): 996-1006.

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