Special Issue "Material Modeling in Multiphysics Simulation"

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Computation and Simulation on Metals".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Francesco De Bona
E-Mail Website
Guest Editor
University of Udine, Udine, Italy
Interests: Finite Element Modeling; Thermo-Mechanical Simulation; Machine Design
Prof. Dr. Jelena Srnec Novak
E-Mail Website
Guest Editor
Faculty of Engineering, University of Rijeka, Rijeka, Croatia
Interests: cyclic plasticity; material characterization; thermo-Mechanical fatigue; non-Linear finite element simulations; nanoindentation
Special Issues and Collections in MDPI journals
Dr. Francesco Mocera
E-Mail Website
Guest Editor
Polytechnic University of Turin, Turin, Italy
Interests: Hybrid and Electric Vehicles; Lithium-Ion Batteries; Multibody Simulation; Thermo-Mechanical Simulations

Special Issue Information

Dear Colleagues,

Virtual prototyping techniques, generally based on numerical methods, are widely used in the design process of an industrial product. Over the last few decades, the demand for strong improvement in terms of productivity and reliability, accompanied by cost reduction requirements, have been fundamental considerations in the design, often requiring more than one simultaneously occurring physical fields (thermal, mechanical, electrical, metallurgical, etc.) to be taken into account. At present, a huge number of commercial codes have been developed to perform multiphysics simulations; nevertheless, the bottleneck to obtain reliable results is generally constituted by the availability of a suitable material model. The Special Issue is thus aimed at investigating metallic material modeling techniques for virtual prototypes with emphasis on both the theoretical basis and the experimental identification and verification. Special attention is addressed to simulation issues in metal forming and other metal processing technologies, in cyclic plasticity and thermal fatigue, in MEMs operation and soldering, in thermo-electro-mechanical modeling of electric vehicles components such as batteries, electric motors, electronics, and in any other topics where material modeling constitutes a crucial aspect to achieve a dependable virtual prototype.

The purpose of this Special Issue is to collect papers providing state-of-the-art knowledge on material modeling for multiphysics simulations. Researchers are encouraged to submit research as well as review papers on specific aspects of the proposed subject or also to describe applications in which the above-mentioned topics are applied to relevant engineering case studies.

Prof. Francesco De Bona
Prof. Dr. Jelena Srnec Novak
Dr. Francesco Mocera
Guest Editors

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 papers will be 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. Metals 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 1800 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

  • Multiphysics
  • Numerical simulation
  • Finite Element Method
  • Nonlinear
  • Thermomechanical
  • Metal forming
  • Shape memory
  • Welding
  • Electromechanical
  • Lithium-ion
  • Solder

Published Papers (5 papers)

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Research

Article
Mathematical Modelling of Isothermal Decomposition of Austenite in Steel
Metals 2021, 11(8), 1292; https://doi.org/10.3390/met11081292 - 16 Aug 2021
Viewed by 295
Abstract
The main goal of this paper is mathematical modelling and computer simulation of isothermal decomposition of austenite in steel. Mathematical modelling and computer simulation of isothermal decomposition of austenite nowadays is becoming an indispensable tool for the prediction of isothermal heat treatment results [...] Read more.
The main goal of this paper is mathematical modelling and computer simulation of isothermal decomposition of austenite in steel. Mathematical modelling and computer simulation of isothermal decomposition of austenite nowadays is becoming an indispensable tool for the prediction of isothermal heat treatment results of steel. Besides that, the prediction of isothermal decomposition of austenite can be applied for understanding, optimization and control of microstructure composition and mechanical properties of steel. Isothermal decomposition of austenite is physically one of the most complex engineering processes. In this paper, methods for setting the kinetic expressions for prediction of isothermal decomposition of austenite into ferrite, pearlite or bainite were proposed. After that, based on the chemical composition of hypoeutectoid steels, the quantification of the parameters involved in kinetic expressions was performed. The established kinetic equations were applied in the prediction of microstructure composition of hypoeutectoid steels. Full article
(This article belongs to the Special Issue Material Modeling in Multiphysics Simulation)
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Article
Mathematical Modeling of Induction Heating of Waveguide Path Assemblies during Induction Soldering
Metals 2021, 11(5), 697; https://doi.org/10.3390/met11050697 - 24 Apr 2021
Viewed by 339
Abstract
The waveguides used in spacecraft antenna feeders are often assembled using external couplers or flanges subject to further welding or soldering. Making permanent joints by means of induction heating has proven to be the best solution in this context. However, several physical phenomena [...] Read more.
The waveguides used in spacecraft antenna feeders are often assembled using external couplers or flanges subject to further welding or soldering. Making permanent joints by means of induction heating has proven to be the best solution in this context. However, several physical phenomena observed in the heating zone complicate any effort to control the process of making a permanent joint by induction heating; these phenomena include flux evaporation and changes in the emissivity of the material. These processes make it difficult to measure the temperature of the heating zone by means of contactless temperature sensors. Meanwhile, contact sensors are not an option due to the high requirements regarding surface quality. Besides, such sensors take a large amount of time and human involvement to install. Thus, it is a relevant undertaking to develop mathematical models for each waveguide assembly component as well as for the entire waveguide assembly. The proposed mathematical models have been tested by experiments in kind, which have shown a great degree of consistency between model-derived estimates and experimental data. The paper also shows how to use the proposed models to test and calibrate the process of making an aluminum-alloy rectangular tube flange waveguide by induction soldering. The Russian software, SimInTech, was used in this research as the modeling environment. The approach proposed herein can significantly lower the labor and material costs of calibrating and testing the process of the induction soldering of waveguides, whether the goal is to adjust the existing process or to implement a new configuration that uses different dimensions or materials. Full article
(This article belongs to the Special Issue Material Modeling in Multiphysics Simulation)
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Article
Warpage Analysis and Control of Thin-Walled Structures Manufactured by Laser Powder Bed Fusion
Metals 2021, 11(5), 686; https://doi.org/10.3390/met11050686 - 22 Apr 2021
Cited by 2 | Viewed by 437
Abstract
Thin-walled structures are of great interest because of their use as lightweight components in aeronautical and aerospace engineering. The fabrication of these components by additive manufacturing (AM) often produces undesired warpage because of the thermal stresses induced by the manufacturing process and the [...] Read more.
Thin-walled structures are of great interest because of their use as lightweight components in aeronautical and aerospace engineering. The fabrication of these components by additive manufacturing (AM) often produces undesired warpage because of the thermal stresses induced by the manufacturing process and the components’ reduced structural stiffness. The objective of this study is to analyze the distortion of several thin-walled components fabricated by Laser Powder Bed Fusion (LPBF). Experiments are performed to investigate the sensitivity of the warpage of thin-walled structures fabricated by LPBF to different design parameters such as the wall thickness and the component height in several open and closed shapes. A 3D-scanner is used to measure the residual distortions in terms of the out-of-plane displacement. Moreover, an in-house finite element software is firstly calibrated and then used to enhance the original design in order to minimize the warpage induced by the LPBF printing process. The outcome of this shows that open geometries are more prone to warping than closed ones, as well as how vertical stiffeners can mitigate component warpage by increasing stiffness. Full article
(This article belongs to the Special Issue Material Modeling in Multiphysics Simulation)
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Article
Deep Learning Sequence Methods in Multiphysics Modeling of Steel Solidification
Metals 2021, 11(3), 494; https://doi.org/10.3390/met11030494 - 17 Mar 2021
Cited by 1 | Viewed by 518
Abstract
The solidifying steel follows highly nonlinear thermo-mechanical behavior depending on the loading history, temperature, and metallurgical phase fraction calculations (liquid, ferrite, and austenite). Numerical modeling with a computationally challenging multiphysics approach is used on high-performance computing to generate sufficient training and testing data [...] Read more.
The solidifying steel follows highly nonlinear thermo-mechanical behavior depending on the loading history, temperature, and metallurgical phase fraction calculations (liquid, ferrite, and austenite). Numerical modeling with a computationally challenging multiphysics approach is used on high-performance computing to generate sufficient training and testing data for subsequent deep learning. We have demonstrated how the innovative sequence deep learning methods can learn from multiphysics modeling data of a solidifying slice traveling in a continuous caster and correctly and instantly capture the complex history and temperature-dependent phenomenon in test data samples never seen by the deep learning networks. Full article
(This article belongs to the Special Issue Material Modeling in Multiphysics Simulation)
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Article
CFD Simulation Based Investigation of Cavitation Dynamics during High Intensity Ultrasonic Treatment of A356
Metals 2020, 10(11), 1529; https://doi.org/10.3390/met10111529 - 18 Nov 2020
Viewed by 691
Abstract
Ultrasonic treatment (UST) and its effects, primarily cavitation and acoustic streaming, are useful for a high range of industrial applications, e.g., welding, filtering, cleaning or emulsification. In the metallurgy and foundry industry, UST can be used to modify a material’s microstructure by treating [...] Read more.
Ultrasonic treatment (UST) and its effects, primarily cavitation and acoustic streaming, are useful for a high range of industrial applications, e.g., welding, filtering, cleaning or emulsification. In the metallurgy and foundry industry, UST can be used to modify a material’s microstructure by treating metal in the liquid or semi-solid state. Cavitation (formation, pulsating growth and implosion of tiny bubbles) and its shock waves, released during the implosion of the cavitation bubbles, are able to break forming structures and thus refine them. In this context, especially aluminium alloys are in the focus of the investigations. Aluminium alloys, e.g., A356, have a significantly wide range of industrial applications in automotive, aerospace and machine engineering, and UST is an effective and comparatively clean technology for its treatment. In recent years, the efforts for simulating the complex mechanisms of UST are increasing, and approaches for computing the complex cavitation dynamics below the radiator during high intensity ultrasonic treatment have come up. In this study, the capabilities of the established CFD simulation tool FLOW-3D to simulate the formation and dynamics of acoustic cavitation in aluminium A356 are investigated. The achieved results demonstrate the basic capability of the software to calculate the above-mentioned effects. Thus, the investigated software provides a solid basis for further development and integration of numerical models into an established software environment and could promote the integration of the simulation of UST in industry. Full article
(This article belongs to the Special Issue Material Modeling in Multiphysics Simulation)
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