Refrigerant flow through electronic expansion valve: Experiment and neural network modeling
暂无分享,去创建一个
Liang-Liang Shao | Chun-Lu Zhang | Xiang Cao | Ze-Yu Li | Ze-yu Li | Liang-Liang Shao | Chunlu Zhang | Xiang Cao
[1] Chun-Lu Zhang,et al. Neural-Network-Based Polynomial Correlation of Single- and Variable-Speed Compressor Performance , 2009 .
[2] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[3] Robert Hecht-Nielsen,et al. Applications of counterpropagation networks , 1988, Neural Networks.
[4] Clark W. Bullard,et al. Pressure drop and flashing mechanisms in refrigerant expansion devices , 2003 .
[5] Alessandro Beghi,et al. On-line, auto-tuning control of Electronic Expansion Valves , 2011 .
[6] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[7] Shi Lin,et al. Refrigerant flow characteristics of electronic expansion valve based on thermodynamic analysis and experiment , 2008 .
[8] Chen Jiangping,et al. Experimental research on refrigerant mass flow coefficient of electronic expansion valve , 2005 .
[9] Rita Mastrullo,et al. Experimental evaluation of electronic and thermostatic expansion valves performances using R22 and R407C , 2002 .
[10] Qifang Ye,et al. A new model for depicting mass flow rate characteristic of electronic expansion valves , 2007 .
[11] Shanwei Ma,et al. Experimental analysis of R22 and R407c flow through electronic expansion valve , 2006 .
[12] Orhan Ekren,et al. Comparison of different controllers for variable speed compressor and electronic expansion valve , 2010 .
[13] P. Haberschill,et al. The transient response of an evaporator fed through an electronic expansion valve , 1997 .
[14] D. Leducq,et al. Non-linear predictive control of a vapour compression cycle , 2006 .
[15] Wenhua Li,et al. Simplified modeling analysis of mass flow characteristics in electronic expansion valve , 2013 .
[16] C. Changenet,et al. Predictive functional control of an expansion valve for minimizing the superheat of an evaporator , 2010 .
[17] Martin T. Hagan,et al. Neural network design , 1995 .
[18] Qifang Ye,et al. Experimental investigation of R407C and R410A flow through electronic expansion valve , 2007 .
[19] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[20] Juanli Ma,et al. Mass flowrate characteristics of supercritical CO2 flowing through an electronic expansion valve , 2014 .
[21] Liang Chen,et al. A new model of mass flow characteristics in electronic expansion valves considering metastability , 2009 .
[22] M. Mohanraj,et al. Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review , 2012, Renewable and Sustainable Energy Reviews.
[23] Liu Jinghui,et al. Experimental investigation on mass flow characteristics of electronic expansion valves with R22, R410A and R407C , 2009 .
[24] Honghyun Cho,et al. Mass flow characteristics and empirical modeling of R22 and R410A flowing through electronic expansion valves , 2007 .