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	题名	作者	年代	出处	被引量
1	An accurate empirical correlation for predicting natural gas viscosity显示文摘Natural gas viscosity is an important parameter in many gas and petroleum engineering calculations.This study presents a new empirical model for quickly calculating the natural gas viscosity.The model was derived from 4089 experimental viscosity data with varieties ranging from 0.01 to 21,and 1 to 3 of pseudo reduced pressure and temperature,respectively.The accuracy of this new empirical correlation has been compared with commonly used empirical models,including Lee et al.,Heidaryan et al.,Carr et al.,and Adel Elsharkawy correlations.The comparison indicates that this new empirical model can predict viscosity of natural gas with average absolute relative deviation percentage AARD (%) of 2.173.	Ehsan Sanjari Ebrahim Nemati Lay Mohammad Peymani	2011	Journal of Natural Gas Chemistry2011，20，6：	4
2	An optimization method for radial forging process using ANN and Taguchi method 显示文摘	Sanjari M Karimi Taheri A Movahedi M R	2009	International Journal of Advanced Manufacturing Technology2009，40，78：	1
3	Estimation of a normal mean relative to balanced loss functions 显示文摘	Sanjari F N Asgharzadeh A	2004	Statistical Papers2004，45，：	1
4	Estimation of the exponential mean time to failure under a weight-ed balanced loss function显示文摘	Asgharzadeh A Sanjari F N	2008	Statistical Papers2008，49，：	1
5	Estimation of a Normal Mean Relative to Balanced Loss Functions显示文摘	Asgharzadeh A	2004	Statistical Paper2004，45，：	1
6	Job satisfaction among Iranian Nurses显示文摘	Mirzabeigi G Salemi S Sanjari M		0，，：	1
7	Minimax Estimation of the Scale Parameter in a Family of Transformed Chi-square Distributions under Asymmetric Quares Log Error and MLINEX Loss Functions 显示文摘	Mahmoodi E Sanjari F N	2006	Journal of Sciences Islamic Republic of Islamic2006，，：	1
8	A simple and unified meth- od to model HVDC links and facts devices in DC load flow显示文摘	Mousavi Omid Alizadeh Sanjari Mohammad Javad Gharehpetian G B	2009	Simulation2009，85，2：	1
9	Experimental and calculated phases in two as-cast and annealed Mg–Zn–Y alloys显示文摘	S.A. Farzadfar M. Sanjari I.-H. Jung E. Essadiqi S. Yue	2011	Materials Characterization2011，，：	1
10	Analysis of the effect of reinforcement particles on the compressibility of A1-SiC composite powders using a neural network model 显示文摘	HAFIZPOUR H R SANJARI M SIMCHI A	2009	Materials and Design2009，30，5：	1
11	Role of yttrium inthe microstructure and texture evolution of Mg显示文摘	Farzadfar S A Sanjari M Jung I H	2011	Materials Science and Engineering:A2011，528，2223：	1
12	Role of yttrium in the microstructure and texture evolution of Mg显示文摘	S.A. Farzadfar M. Sanjari I.-H. Jung E. Essadiqi S. Yue	2011	Materials Science & Engineering A2011，，22：	1
13	Game-theoretic approach to cooperative control of distributed energy resources in islanded microgrid considering voltage and frequency stability 显示文摘	SANJARI M J G B	2014	Neural Computing and Applications2014，25，2：	1
14	Texture weakening and static recrystallization in rolled Mg–2.9Y and Mg–2.9Zn solid solution alloys显示文摘	S. Farzadfar é. Martin M. Sanjari E. Essadiqi S. Yue	2012	Journal of Materials Science2012，，14：	1
15	Retrobulbar haemo- dynamics and carotid wall thickness in patients with non-arteritic anterior ischaemic optic neuropathy 显示文摘	Sanjari MS Falavarjani KG Mehrabani M	2009	Br J Ophthalmol2009，93，5：	1
16	A cross-sectional study in Ker- man, Iran, on the effect of diabetic foot ulcer on health-related quality of life 显示文摘	Sanjari M Safari S Shokoohi M	2011	Int J Low Extrem Wounds2011，10，4：	1
17	Study of frac tional softening of AZ31 magnesium alloy under muhistage hot de formation显示文摘	SHAMSI M SANJARI M HANZAKI A Z	2009	Materials Science and Technology2009，25，8：	1
18	Minimax estimation of the scale parameter in a family of transformed chi-square distributions under asymmetric squares log error and MLINEX loss functions显示文摘	Mahmoodi E Sanjari F N	2006	Journal of sciences2006，17，3：	1
19	Predictive value of diffusion-weighted MRI for tumor consistency and resection rate of nonfunctional pituitary macroadenomas显示文摘	Alimohamadi M Sanjari R Mortazavi A	2014	Acta Neurochir(Wien)2014，156，12：	1
20	An accurate empirical correlation for predicting natural gas compressibility factors显示文摘The compressibility factor of natural gas is an important parameter in many gas and petroleum engineering calculations. This study presents a new empirical model for quick calculation of natural gas compressibility factors. The model was derived from 5844 experimental data of compressibility factors for a range of pseudo reduced pressures from 0.01 to 15 and pseudo reduced temperatures from 1 to 3. The accuracy of the new empirical correlation has been compared with commonly used existing methods. The comparison indicates the superiority of the new empirical model over the other methods used to calculate compressibility factor of natural gas with average absolute relative deviation percent (AARD%) of 0.6535.	Ehsan Sanjari Ebrahim Nemati Lay	2012	Journal of Natural Gas Chemistry2012，21，2：	1

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