Forthcoming articles

 


International Journal of Theoretical and Applied Multiscale Mechanics

 

These articles have been peer-reviewed and accepted for publication in IJTAMM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

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International Journal of Theoretical and Applied Multiscale Mechanics (2 papers in press)

 

Regular Issues

 

  • A CFD Investigation of Nozzle Position Effect and Turbulent Flow Phenomena of a Hyperloop Model   Order a copy of this article
    by Steven Goddard, Yufeng Yao 
    Abstract: This investigation analyses a conceptual Hyperloop model in a low-pressure tube using CFD simulation technique. A precursor validation study, similar to a published work, is adopted, and used as a baseline model to develop a replication of Hyperloop configuration. The study continues with 2D simulations of three rear nozzle positions to identify a low-drag configuration, steady 3D simulations to capture more complex mean flow features, and unsteady 3D simulation to analyse time-dependant flow characteristics. It was found that the lower the rear nozzle position, the better the drag reduction, with an optimal slope angle of 8
    Keywords: Hyperloop concept; Vacuum tube transport; Low Pressure condition CFD modelling; Rear nozzle position; High-speed turbulent flow.

  • Structure optimisation of coat-hanger die based on the multi-objective and design of experiment analysis   Order a copy of this article
    by Hong Zhang, Chenyu Wang, Yi Chai, Tianyuan Guan 
    Abstract: In this paper, a multi-objective analysis based on the numerical simulation of the polymer flow is proposed to optimise the geometry and process parameters. The design of experiment (DOE) is adapted to generate enough data for building a numerical model for structural optimisation. The minimum deformation of the sector, minimum pressure drop and minimum coefficient of variation of the outlet velocity are three optimal objectives. From model variance analysis, sector height is the most influencing design parameter on the sector deformation and pressure drop and the sector length is the most influencing design parameter on coefficient of variation of outlet velocity. An objective weighted genetic algorithm is used to find the global optimal solution for multi-objective optimisation based on DOE variable space. Compared with the original structure, three optimal objectives of the optimised structure have been improved largely.
    Keywords: coat-hanger die; structure optimisation; design of experiment; analysis of variance; multiple objectives; genetic algorithm.