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International Journal for Multiscale Computational Engineering

Publicado 6 números por año

ISSN Imprimir: 1543-1649

ISSN En Línea: 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

A MULTISCALE APPROACH FOR THERMO-MECHANICAL SIMULATIONS OF LOADING COURSES IN CAST IRON BRAKE DISCS

Volumen 14, Edición 1, 2016, pp. 25-43
DOI: 10.1615/IntJMultCompEng.2015014764
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SINOPSIS

This article presents a multiscale approach for the simulation of coupled heat and stress evolution induced by different loading courses in gray cast iron brake discs. The concept integrates the microstructural properties as homogenized material laws into the macroscopic computations. Extensive experimental testing is required to establish a complete set of material parameters needed to conduct thermo-mechanical simulations on a macroscopic length scale. In addition, the microstructure can vary within the disc due to differences in wall thicknesses and cooling rates. In order to reduce the experimental effort and to estimate the influence of microstructure characteristics on macroscopic heat and stress distributions, simulations on the mesoscopic scale resolving the heterogeneous microstructure with graphite flakes in a pearlite matrix are conducted. The workflow to derive the elasto-plastic properties according to its microstructure is demonstrated for a typical cast iron material. Geometrical parameters of the graphite phase distributions and shape factors composed from micrographic analysis are used to generate representative volume elements (RVE) and to define the metallographic constituents. The information serves as input parameters to algorithmically construct a 3D cast iron microstructure. The elastic and elasto-plastic material models of the constituents are briefly elucidated. In order to simulate the different material behavior in tension and compression, a crack opening and crack closure mechanism is included. The potential of complementing and substituting experimental testing is shown by a quantitative comparison of the simulation results with experimental data at ambient temperature. Both virtual tension and compression tests are executed as well as a tension-compression cycle and the determination of the yield surface of the material. The presented approach provides a first step into a versatile range of applications and illustrates a broad potential for future challenges of multiscale modeling in the field of thermo-mechanical failure analysis.

CITADO POR
  1. Schneider Daniel, Schoof Ephraim, Huang Yunfei, Selzer Michael, Nestler Britta, Phase-field modeling of crack propagation in multiphase systems, Computer Methods in Applied Mechanics and Engineering, 312, 2016. Crossref

  2. Herrmann Christoph, Schmid Stefan, Schneider Daniel, Selzer Michael, Nestler Britta, Computational Determination of Macroscopic Mechanical and Thermal Material Properties for Different Morphological Variants of Cast Iron, Metals, 11, 10, 2021. Crossref

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