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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

Indexed in

ENHANCEMENTS TO THE INHERENT STRAIN METHOD FOR ADDITIVE MANUFACTURING ANALYSIS

Volume 17, Issue 1, 2019, pp. 65-81
DOI: 10.1615/IntJMultCompEng.2019028876
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ABSTRACT

Analysis of stress and deformation of parts produced during additive manufacturing (AM) process is critical to predict potential defects during the process and quality of parts produced. However, the complex physics of the process and vastly different scales of the analysis require long computations on powerful computers (including exa-scale computing), which makes accurate analysis impractical. Simplified approach in published literature typically utilizes extrapolation of inherent strain theory developed for analysis of welding processes, however, results are often unsatisfactory as the AM process and geometry of produced parts is much more complex. Here we present generalization of the inherent strain into a two-level method, where the fine model (so-called mesoscale analysis) provides a whole family of inherent strain models, and the coarse model (macroscale) uses different values for inherent strain varying with location, surrounding geometry, and parameters of AM process.

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CITED BY
  1. Liang Xuan, Hayduke Devlin, To Albert C., An enhanced layer lumping method for accelerating simulation of metal components produced by laser powder bed fusion, Additive Manufacturing, 39, 2021. Crossref

  2. Dong Wen, Liang Xuan, Chen Qian, Hinnebusch Shawn, Zhou Zekai, To Albert C., A new procedure for implementing the modified inherent strain method with improved accuracy in predicting both residual stress and deformation for laser powder bed fusion, Additive Manufacturing, 47, 2021. Crossref

  3. Gonda V, Felde I, Horváth R, Réger M, Inherent strain based estimate of the residual deformations for printed MS1 and 316L parts, IOP Conference Series: Materials Science and Engineering, 1246, 1, 2022. Crossref

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