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Sun W, Chen X, Wu L, Hu Y, Zhang W. Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations. ACS OMEGA 2023; 8:22536-22544. [PMID: 37396225 PMCID: PMC10308390 DOI: 10.1021/acsomega.3c00754] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/18/2023] [Indexed: 07/04/2023]
Abstract
The establishment of mathematical models to predict the diffusion coefficients of gas and liquid systems have important theoretical significance and practical value. In this work, based on the previously proposed diffusion coefficient model DLV, the distribution and influencing factors of the model parameters characteristic length (L) and diffusion velocity (V) were further investigated using molecular dynamics simulations. The statistical analysis of L and V for 10 gas systems and 10 liquid systems was presented in the paper. New distribution functions were established to describe the probability distributions of molecular motion L and V. The mean values of the correlation coefficients were 0.98 and 0.99, respectively. Meanwhile, the effects of molecular molar mass and system temperature on the molecular diffusion coefficients were discussed. The results show that the effect of molecular molar mass on the diffusion coefficient mainly affects the molecular motion L, and the effect of system temperature on the diffusion coefficient mainly affects V. For the gas system, the average relative deviation of DLV and DMSD is 10.73% and that of DLV and experimental value is 12.63%; for the solution system, the average relative deviation of DLV and DMSD is 12.93% and that of DLV and experimental value is 18.86%, which indicates the accuracy of the new model results. The new model reveals the potential mechanism of molecular motion and provides a theoretical basis for further study of the diffusion process.
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Affiliation(s)
- Wenting Sun
- College
of Chemistry and Chemical Engineering, Ocean
University of China, Qingdao 266100, China
| | - Xia Chen
- Institute
of Chemical Engineering Guangdong Academy of Science, Guangzhou 510665, China
| | - Lianying Wu
- College
of Chemistry and Chemical Engineering, Ocean
University of China, Qingdao 266100, China
| | - Yangdong Hu
- College
of Chemistry and Chemical Engineering, Ocean
University of China, Qingdao 266100, China
| | - Weitao Zhang
- College
of Chemistry and Chemical Engineering, Ocean
University of China, Qingdao 266100, China
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Yang X, Liu Q, Ma Y, Xie J, Cao B. Molecular dynamics study on the kinematic viscosity, density and structure of fuel blends containing n-decane and biofuel compound of ethyl decanoate or ethyl dodecanoate. J Mol Liq 2023. [DOI: 10.1016/j.molliq.2023.121680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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Zhang B, Zhao X, Chen Y, Ge Z, Jin H. Investigation of H 2S Diffusion in Transcritical and Supercritical Water: A Molecular Dynamics Simulation Study. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c04479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Bowei Zhang
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi710049, China
| | - Xiao Zhao
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi710049, China
- Key Laboratory of Combustion, Thermal Structure and Internal Flow, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, Shaanxi710072, China
| | - Yunan Chen
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi710049, China
| | - Zhiwei Ge
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi710049, China
| | - Hui Jin
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi710049, China
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Salawu EY, Adediran AA, Ajayi OO, Inegbenebor AO, Dirisu JO. On the analyses of carbon atom diffused into grey cast iron during carburisation process. Sci Rep 2022; 12:18303. [PMID: 36316528 PMCID: PMC9622907 DOI: 10.1038/s41598-022-22136-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022] Open
Abstract
The study employed Fick's second law of diffusion to discover some unknown aspect of carbon diffusion in grey cast iron during carburisation process. Emphasis on the experiments and theoretical modelling were established for better accomplishments. Pulverised palm kernel and eggshell additives of 70 (wt.%) and 30 (wt.%) according to the Voige law of mixture was considered as a continuous medium without considering the atomic nature of the mixture. Furthermore, a kinetic approach was described where a physical model of the substrate immersed in the carbon mixture was established while diffusion equations were modelled to establish the mechanism of carbon diffusion during carburisation. Initial composition and concentration of diffused atom remained constant which are 2.68 and 6.67% carbon. While the carburizing time used varied from 60 min, 90 min, 120 min, 150 min, 180 min and 210 min respectively at constant carburising temperature of 900° The results revealed varying composition gradient of carbon atom ranging from 5.4%, 5.42%, 5.44%, 5.46%, 5.51%, and 5.65 compared to the initial carbon content of 2.68%. The concentration of carbon atom on the substrate surface at varying time implies that the process was non-steady state diffusion which verified Fick's second law of diffusion. Hence, the composition achieved is a function of boundary conditions such as time position and temperature. This novel study will enhance the understanding of heat treat treatment of metals such that their applications in the industry will be numerous.
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Affiliation(s)
- Enesi Y. Salawu
- grid.411932.c0000 0004 1794 8359Department of Mechanical Engineering, Covenant University, P.M.B 1023, Ota, Ogun State Nigeria
| | - Adeolu A. Adediran
- grid.448923.00000 0004 1767 6410Department of Mechanical Engineering, Landmark University, P.M.B 1001, Omu-Aran, Kwara State Nigeria ,grid.412988.e0000 0001 0109 131XDepartment of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa
| | - Oluseyi O. Ajayi
- grid.411932.c0000 0004 1794 8359Department of Mechanical Engineering, Covenant University, P.M.B 1023, Ota, Ogun State Nigeria
| | - Anthony O. Inegbenebor
- grid.411932.c0000 0004 1794 8359Department of Mechanical Engineering, Covenant University, P.M.B 1023, Ota, Ogun State Nigeria
| | - Joseph O. Dirisu
- grid.411932.c0000 0004 1794 8359Department of Mechanical Engineering, Covenant University, P.M.B 1023, Ota, Ogun State Nigeria
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Chan TC, Yeung PH. A Generalized Bifunctional Correlation for Diffusivities of H-Bonded Aromatic Compounds in Polar Organic Solvents. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Tze Chung Chan
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
| | - Pak Hon Yeung
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
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Yang X, Tao J, Liu Q, Zhang X, Cao B. Molecular dynamics simulation of thermophysical properties of binary RP-3 surrogate fuel mixtures containing trimethylbenzene, n-decane, and n-dodecane. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119258] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Zhao X, Luo T, Jin H. Predicting Diffusion Coefficients of Binary and Ternary Supercritical Water Mixtures via Machine and Transfer Learning with Deep Neural Network. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xiao Zhao
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Tengfei Luo
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Hui Jin
- State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
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