The objective of this paper is to investigate the behavior of two well-known boundary-driven molecular dynamics (MD) approaches, namely, reverse nonequilibrium molecular dynamics (RNEMD) and heat exchange algorithm (HEX), as well as introducing a modified HEX model (MHEX) that is more accurate and computationally efficient to simulate the mass and heat transfer mechanism. For this investigation, the following binary mixtures were considered: one equimolar mixture of argon (Ar) and krypton (Kr), one nonequimolar liquid mixture of hexane (nC6) and decane (nC10), and three nonequimolar mixtures of pentane (nC5) and decane. In estimating the Thermodiffusion factor in these mixtures using the three methods, it was found that consistent with the findings in the literature, RNEMD predictions have the largest error with respect to the experimental data. Whereas, the MHEX method proposed in this work is the most accurate, marginally outperforming the HEX method. Most importantly, the computational efficiency of MHEX method is the highest, about 7% faster than the HEX method. This makes it more suitable for integration with multiscale computational models to simulate thermodiffusion in a large system such as an oil reservoir.
Skip Nav Destination
Article navigation
September 2017
Research-Article
Evaluations of Molecular Dynamics Methods for Thermodiffusion in Binary Mixtures
Seyedeh H. Mozaffari,
Seyedeh H. Mozaffari
Department of Mechanical and Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: s2mozaff@ryerson.ca
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: s2mozaff@ryerson.ca
Search for other works by this author on:
Seshasai Srinivasan,
Seshasai Srinivasan
Assistant Professor
School of Engineering Practice and Technology,
McMaster University,
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
School of Engineering Practice and Technology,
McMaster University,
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
Department of Mechanical Engineering, McMaster University,
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
Adjunct Professor
Department of Mechanical and Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: ssriniv@mcmaster.ca
Department of Mechanical and Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: ssriniv@mcmaster.ca
Search for other works by this author on:
M. Ziad Saghir
M. Ziad Saghir
Professor
Department of Mechanical and
Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: zsaghir@ryerson.ca
Department of Mechanical and
Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: zsaghir@ryerson.ca
Search for other works by this author on:
Seyedeh H. Mozaffari
Department of Mechanical and Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: s2mozaff@ryerson.ca
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: s2mozaff@ryerson.ca
Seshasai Srinivasan
Assistant Professor
School of Engineering Practice and Technology,
McMaster University,
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
School of Engineering Practice and Technology,
McMaster University,
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
Department of Mechanical Engineering, McMaster University,
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
1280 Main Street West,
Hamilton, ON L8S 4L8, Canada;
Adjunct Professor
Department of Mechanical and Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: ssriniv@mcmaster.ca
Department of Mechanical and Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: ssriniv@mcmaster.ca
M. Ziad Saghir
Professor
Department of Mechanical and
Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: zsaghir@ryerson.ca
Department of Mechanical and
Industrial Engineering,
Ryerson University,
350 Victoria Street,
Toronto, ON M5B 2K3, Canada
e-mail: zsaghir@ryerson.ca
Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS. Manuscript received May 31, 2016; final manuscript received September 27, 2016; published online April 11, 2017. Assoc. Editor: Pedro Mago.
J. Thermal Sci. Eng. Appl. Sep 2017, 9(3): 031011 (9 pages)
Published Online: April 11, 2017
Article history
Received:
May 31, 2016
Revised:
September 27, 2016
Citation
Mozaffari, S. H., Srinivasan, S., and Ziad Saghir, M. (April 11, 2017). "Evaluations of Molecular Dynamics Methods for Thermodiffusion in Binary Mixtures." ASME. J. Thermal Sci. Eng. Appl. September 2017; 9(3): 031011. https://doi.org/10.1115/1.4035939
Download citation file:
Get Email Alerts
Temporal Convolutional Neural Network-Based Cold Load Prediction for Large Office Buildings
J. Thermal Sci. Eng. Appl
HARNESSING DEEP LEARNING TO SOLVE INVERSE TRANSIENT HEAT TRANSFER WITH PERIODIC BOUNDARY CONDITION
J. Thermal Sci. Eng. Appl
Related Articles
Foreword to Special Issue on Micro/Nanoscale Heat and Mass Transfer—Part II
J. Heat Transfer (January,2018)
Foreword to Special Issue on Micro/Nanoscale Heat and Mass Transfer—Part I
J. Heat Transfer (May,2017)
A Multivariable Numerical Investigation of Wavy-Based Microchannel Heat Sink Geometry Towards Optimal Thermal Performance
J. Thermal Sci. Eng. Appl (January,0001)
Particle Filter and Approximation Error Model for State Estimation in Hyperthermia
J. Heat Transfer (January,2017)
Related Proceedings Papers
Related Chapters
Introduction
Consensus on Operating Practices for Control of Water and Steam Chemistry in Combined Cycle and Cogeneration
Performance of Multilevel Coded 16-QAM Scheme for SC-FDE Transmission Over Fading Channel
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
A Novel Approach for LFC and AVR of an Autonomous Power Generating System
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)