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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 1940-4352

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: 1.4 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: 1.3 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: 2.2 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: 0.00034 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: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

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A LATTICE BOLTZMANN MODEL FOR HIGH-ENERGY MATERIALS PROCESSING APPLICATION

Volume 10, Issue 3, 2012, pp. 229-247
DOI: 10.1615/IntJMultCompEng.2012002280
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ABSTRACT

A three-dimensional lattice Boltzmann (LB) scheme is presented in this article to address the incompressible transport phenomena in the presence of a continuously evolving phase change interface typically encountered in high-energy materials processing applications. The proposed LB scheme utilizes three separate distribution functions to monitor the underlying hydrodynamic, thermal, and compositional fields. Accordingly, the kinematic viscosity, and thermal and mass diffusivities can be adjusted independently, which makes the model suitable for a wide range of phase change problems in high-power materials processing applications. The phase-changing aspects are incorporated into the LB model by inserting appropriate source terms in the respective kinetic equations through the most formal technique - following the extended Boltzmann equations along with an adapted enthalpy updating scheme in association with the classical enthalpy-porosity technique for solid-liquid phase transition problems. The model is used to simulate a conventional high-power laser surface alloying process and excellent agreement with the available experimental results is observed.

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CITED BY
  1. Feng Yongchang, Li Huixiong, Li Liangxing, Bu Lin, Wang Tai, Numerical investigation on the melting of nanoparticle-enhanced phase change materials (NEPCM) in a bottom-heated rectangular cavity using lattice Boltzmann method, International Journal of Heat and Mass Transfer, 81, 2015. Crossref

  2. Chatterjee Dipankar, A Comparison of Numerical Strategies for Modeling the Transport Phenomena in High-Energy Laser Surface Alloying Process, Frontiers in Mechanical Engineering, 3, 2017. Crossref

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