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International Journal for Multiscale Computational Engineering

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ISSN Druckformat: 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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LOCATION SPECIFICITY IN THERMAL TOPOLOGY OPTIMIZATION OF ADDITIVELY MANUFACTURED PARTS

Volumen 17, Ausgabe 4, 2019, pp. 373-383
DOI: 10.1615/IntJMultCompEng.2019029798
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ABSTRAKT

The current study is targeted towards topologically optimizing structures using thermal compliance for manufacturability in Powder Bed Fusion Additive Manufacturing machines. The optimization has been carried out using location-specific thermal conductivity varying as a function of powder-bed and solidified material states. Two formulations, namely, parallel and series thermal resistance, have been formulated and studied to take the effect of state-based location-specific thermal conductivity in Topology Optimization. The density distributions arising from the parallel thermal resistance formulation are similar to the density distributions that occur, assuming no powder bed-based effects. The series thermal resistance formulation led to density distributions that involved broadening of low density distributions around highly dense topologically optimized structures. The series thermal resistance formulation framework can maintain a constant heat flow by broadening the low-density distributions, thereby capturing the effect of location-specific thermal conductivity. In addition, the effect of penalty factor has been studied. Using the parallel thermal resistance formulation, an increase in the number density of low density branches around the highly dense topologically optimized structures have been observed. The series thermal resistance formulation led to increased broadening of low density distributions in space around its denser counterparts.

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