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Computational Thermal Sciences: An International Journal

Publicado 6 números por año

ISSN Imprimir: 1940-2503

ISSN En Línea: 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

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Editorial

Volumen 1, Edición 1, 2009, 1 pages
DOI: 10.1615/ComputThermalScien.v1.i1.01
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SINOPSIS

Welcome to Volume 1 Number 1 of Computational Thermal Sciences

Computational Thermal Sciences is a new peer reviewed international journal designed to provide a forum for the exposure and exchange of ideas, methods and results in all areas of thermal sciences: computational thermodynamics, fluid dynamics, heat transfer and mass transfer in solids, liquids and gases, with applications in areas such as energy, materials processing, manufacturing and the environment. All modes of heat and mass transfer will be included: conduction, convection, diffusion, radiation and phase change. Topics to be covered will also include the laws of thermodynamics, the thermal properties of substances, engine and refrigeration cycles and combustion.
Papers on all aspects — both fundamental and applied — will be welcome: on the one hand the development of new mathematical methods and computational algorithms, and on the other the application of new or existing methods to the solution of problems in the thermal sciences. Reports of experimental studies undertaken in conjunction with computational work are encouraged. The assessment of the accuracy of computational solutions through verification (examining and limiting errors associated with discretization and with the computational solution methods adopted) and validation (quantification of errors in the physical models used) are essential parts of any computational study, and authors will be expected to examine these aspects.
Some of the papers in this issue are expanded or modified versions of papers originally presented at CHT-08, an International Symposium on Computational Heat Transfer, Marrakech Morocco, May 2008, which was organised by the International Centre for Heat and Mass Transfer. We are pleased to continue the relationship between Begell House and ICHMT, but of course this journal will welcome original research papers from all sources.
Volume 1 Number 1 of Computational Thermal Sciences is dedicated to the memory of Eddie Leonardi, formerly Associate Editor, who tragically died at an early age on December 14, 2008.

Próximos Artículos

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
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