Multiscale Modelling in Aerospace Engineering
A special issue of Aerospace (ISSN 2226-4310).
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1422
Special Issue Editor
Interests: multiscale material modelling; simulation of manufacturing process using finite-element and multi-scale material constitutive modeling to optimize the process and to improve the product performance; composite materials design and manufacturing; aerospace thermal structures; surrogate models of nonlinear computational simulations
Special Issue Information
Dear Colleagues,
The state-of-the-art aerospace research studies biomaterials for aerospace applications, nanomaterials, and the use of plasma to improve material performance. The aerospace design depends on developing numerical methods that provide insight into the performance of materials, fluids, and fluid–structure interactions under standard and extreme load environments. This requires numerical modelling on atomic, molecular, meso, micro, and macro levels to capture the material performance and design optimization studies to study the impact of each scale under different load environments.
This Special Issue will cover multidisciplinary tools, including quantum mechanical methods, molecular dynamics, Monte Carlo simulations, coarse-grained simulations, dissipative particle dynamics, lattice Boltzmann, computational fluid dynamics, finite element, mathematical theory, and novel numerical methods to bridge material characterization between multiple scales. We expect the authors will use material characterization techniques (gas adsorption, microscopy, etc.) and a wide range of process analytics tools (tomography, rheometry, particle sizing, etc.) to validate their numerical studies.
Multiscale modelling often fails to efficiently combine large datasets from different sources and different levels of resolution. The journal acknowledges the emergence of machine learning in multiscale modelling to manage ill-posed problems and explore massive design spaces. The journal invites researchers to publish their studies using machine learning in multiscale modelling.
Dr. Gasser Abdelal
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multiscale modelling
- biocomposites
- nanomaterials
- machine learning
- finite element
- molecular dynamics
- Monte Carlo methods
- experimental studies
