Computational Thermal Sciences: An International Journal
年間 6 号発行
ISSN 印刷: 1940-2503
ISSN オンライン: 1940-2554
IF:
1.5
5-Year IF:
1
Immediacy Index:
0.3
Eigenfactor:
0.00017
JCI:
0.28
SJR:
0.279
SNIP:
0.544
CiteScore™::
2.5
H-Index:
22
Indexed in
巻 11, 2019 発行 3
DOI: 10.1615/ComputThermalScien.v11.i3
FLOW AND HEAT TRANSFER OF A NANOFLUID BY MIXED CONVECTION WITH NONUNIFORM HEAT SOURCE/SINK AND MAGNETIC FIELD EFFECT: A NUMERICAL APPROACH
pp. 189-203
DOI: 10.1615/ComputThermalScien.2018021564
EFFECTS OF NONLINEAR CONVECTION AND CROSS-DIFFUSION FOR THE FLOW OF DARCY-FORCHHEIMER MODEL MICROPOLAR FLUID WITH CONVECTIVE BOUNDARY CONDITION
pp. 205-218
DOI: 10.1615/ComputThermalScien.2018019453
MODELLING SOLIDIFICATION OF BINARY MIXTURES IN CAVITY AND CHANNEL FLOWS
pp. 219-232
DOI: 10.1615/ComputThermalScien.2018018792
STUDY AND ANALYSIS OF THE DYNAMIC THERMAL-ENERGY BEHAVIOR OF A FLAT PLATE CONVERTER SYSTEM
pp. 233-242
DOI: 10.1615/ComputThermalScien.2018024450
EVALUATION OF THE NEUTRONIC FEEDBACK EFFECTS IN LOSS OF COOLANT ACCIDENT SIMULATION OF THE IPR-R1 TRIGA REACTOR
pp. 243-254
DOI: 10.1615/ComputThermalScien.2018019423
NUMERICAL STUDY ON CONVECTIVE HEAT-TRANSFER ENHANCEMENT BY VORTEX INTERACTIONS
pp. 255-268
DOI: 10.1615/ComputThermalScien.2018021278
NANOFLUID SLIP FLOW THROUGH POROUS MEDIUM WITH ELASTIC DEFORMATION AND UNIFORM HEAT SOURCE/SINK EFFECTS
pp. 269-283
DOI: 10.1615/ComputThermalScien.2018024409
最新号
近刊の記事
A Commemorative Volume in Memory of Darrell Pepper
In Memoriam: Professor Darrell W. Pepper – A Tribute to an Exceptional Engineering Educator and Researcher
Modeling of Two-Phase Gas-Liquid Slug Flows in Microchannels
Performance of two dimensional planar curved micronozzle used for gas separation
A Localized Meshless Method for Transient Heat Conduction with Applications
Non-nested Multilevel Acceleration of Meshless Solution of Heat Conduction in Complex Domains
Assessing the Viability of High-Capacity Photovoltaic Power Plants in Diverse Climatic Zones : A Technical, Economic, and Environmental Analysis
MACHINE LEARNING LOCAL WALL STEAM CONDENSATION MODEL IN PRESENCE OF NON-CONDENSABLE FROM TUBE DATA
Comparative study of Transformer- and LSTM-based machine learning methods for transient thermal field reconstruction
LES of Humid Air Natural Convection in Cavity with Conducting Walls