Abonnement à la biblothèque: Guest
Computational Thermal Sciences: An International Journal

Publication de 6  numéros par an

ISSN Imprimer: 1940-2503

ISSN En ligne: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

APPLICATION OF GENE EXPRESSION PROGRAMMING FOR ESTIMATING TOTAL EMISSIVITY OF H2O−CO2 MIXTURES IN AIR−FUEL COMBUSTION WITHOUT SOOT FORMATION

Volume 7, Numéro 3, 2015, pp. 191-215
DOI: 10.1615/ComputThermalScien.2015011633
Get accessGet access

RÉSUMÉ

In the present study, a gene expression programming algorithm has been applied to propose new and accurate correlations for estimating total emissivity of CO2−H2O homogeneous mixtures in air−fuel combustion environment without soot formation at atmospheric condition. The main parameters of the correlations include temperature (T: 300−2500 K), partial pressure of water vapor (pw: 2.0265−20.265 kPa), partial pressure of carbon dioxide (pc: 4.053−20.265 kPa), and mean beam length (L: 0.01−25 m). The RADCAL statistical narrow-band model was used in order to generate 78,000 values of total emissivity to be used as the benchmark data for the correlations. 34,620 total emissivity data points were selected for developing the correlations and 43,380 data points were selected for the optimization and testing the capability of the correlations. All the benchmark data were split into two sub-data sets based on temperature (i.e., the first data set: 300 K ≤ T <1200 K, the second data set: 1200 K ≤ T ≤ 2500 K). For each sub-data set, different correlations have been developed. The average absolute relative deviations of the estimated results from the benchmark data are 3.6% of the low temperature, and 3.9% of the high temperature data sets.

Prochains articles

Positivity Preserving Analysis of Central Schemes for Compressible Euler Equations Souren Misra, Alok Patra, Santosh Kumar Panda A lattice Boltzmann study of nano-magneto-hydrodynamic flow with heat transfer and entropy generation over a porous backward facing-step channel Hassane NAJI, Hammouda Sihem, Hacen Dhahri A Commemorative Volume in Memory of Darrell Pepper David Carrington, Yogesh Jaluria, Akshai Runchal In Memoriam: Professor Darrell W. Pepper – A Tribute to an Exceptional Engineering Educator and Researcher Akshai K. Runchal, David Carrington, SA Sherif, Wilson K. S. Chiu, Jon P. Longtin, Francine Battaglia, Yongxin Tao, Yogesh Jaluria, Michael W. Plesniak, James F. Klausner, Vish Prasad, Alain J. Kassab, John R. Lloyd, Yelena Shafeyeva, Wayne Strasser, Lorenzo Cremaschi, Tom Shih, Tarek Abdel-Salam, Ryoichi S. Amano, Ashwani K. Gupta, Nesrin Ozalp, Ting Wang, Kevin R. Anderson, Suresh Aggarwal, Sumanta Acharya, Farzad Mashayek, Efstathios E. Michaelides, Bhupendra Khandelwal, Xiuling Wang, Shima Hajimirza, Kevin Dowding, Sandip Mazumder, Eduardo Divo, Rod Douglass, Roy E. Hogan, Glen Hansen, Steven Beale, Perumal Nithiarasu, Surya Pratap Vanka, Renato M. Cotta, John A. Reizes, Victoria Timchenko, Ashoke De, Keith A Woodbury, John Tencer, Aaron P. Wemhoff, G.F. ‘Jerry’ Jones, Leitao Chen, Timothy S. Fisher, Sandra K. S. Boetcher, Patrick H. Oosthuizen, Hamidreza Najafi, Brent W. Webb, Satwindar S. Sadhal, Amanie Abdelmessih Modeling of Two-Phase Gas-Liquid Slug Flows in Microchannels Ayyoub Mehdizadeh Momen, SA Sherif, William E. Lear Performance of two dimensional planar curved micronozzle used for gas separation Manu K Sukesan, Shine SR A Localized Meshless Method for Transient Heat Conduction with Applications Kyle Beggs, Eduardo Divo, Alain J. Kassab Non-nested Multilevel Acceleration of Meshless Solution of Heat Conduction in Complex Domains Anand Radhakrishnan, Michael Xu, Shantanu Shahane, Surya P Vanka Assessing the Viability of High-Capacity Photovoltaic Power Plants in Diverse Climatic Zones : A Technical, Economic, and Environmental Analysis Kadir Özbek, Kadir Gelis, Ömer Özyurt MACHINE LEARNING LOCAL WALL STEAM CONDENSATION MODEL IN PRESENCE OF NON-CONDENSABLE FROM TUBE DATA Pavan Sharma LES of Humid Air Natural Convection in Cavity with Conducting Walls Hadi Ahmadi moghaddam, Svetlana Tkachenko, John Reizes, Guan Heng Yeoh, Victoria Timchenko
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections Prix et politiques d'abonnement Begell House Contactez-nous Language English 中文 Русский Português German French Spain