Finite Element Simulation of Mechanical Properties for Metallic Materials

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

Deadline for manuscript submissions: 30 July 2024 | Viewed by 1505

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Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
Interests: advanced finite element simulations; structural analysis of metallic structures; continuum mechanics; fatigue; damage mechanics
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Faculty of Engineering, University of Kragujevac, Kragujevac 34000, Serbia
Interests: Shape memory alloys; thermo-mechanical coupling; advanced finite element simulations

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Faculty of Mechanical Engineering, University of Maribor, SI-2000 Maribor, Slovenia
Interests: welded joints; structural integrity assessment; fracture mechanics; finite element analysis, multi-scale modeling, fatigue
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Centre for Assessment of Structures and Materials under Extreme Conditions, Department of Mechanical and Aerospace Engineering, Brunel University London, London, UK
Interests: applied and computational mechanics; dynamic analysis of solids and structures; thermodynamic constitutive models; plasticity and damage; anisotropic materials
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Special Issue Information

Dear Colleagues,

Determining the mechanical properties of metals is one of the main challenges in finite element simulations. Correct material parameters and constitutive models capable of capturing the physical behavior of materials are two essential components for predictive finite element simulations. Furthermore, the predictive modeling of a range of metals undergoing inelastic deformation typically requires a number of advanced hardening and damage functions that lead to validated simulation results. In addition, computational mechanics may include new techniques and approaches, such as phase-field modeling, which can predict the degradation of material parameters due to damage occurrence. The development of such techniques will provide a new feature in the investigation of metallic structures. An assessment of the balance of (reversible) strain energy and dissipated energy in the material can improve the simulation quality of the material undergoing cyclic loading.

In this Special Issue, we welcome articles that cover new and improved computational techniques which will either provide a breakthrough or solve challenges associated with the finite element simulation of metallic structures. Equally, advanced techniques and methods required for material model characterization are strongly desirable topics covered in this Special Issue.

Prof. Dr. Miroslav Zivkovic
Dr. Vladimir Dunić
Prof. Dr. Nenad Gubeljak
Dr. Nenad Djordjevic
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • finite element simulation
  • mechanical properties
  • metallic materials
  • identification of material parameters
  • constitutive models
  • hardening functions
  • advanced computational mechanics methods and techniques
  • continuum damage mechanics

Published Papers (2 papers)

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Research

21 pages, 13201 KiB  
Article
Estimation of Mechanical Properties of Aluminum Alloy Based on Indentation Curve and Projection Area of Contact Zone
by Yunfeng Bai and Chunguo Liu
Metals 2024, 14(5), 576; https://doi.org/10.3390/met14050576 - 13 May 2024
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Abstract
This study proposes a method for determining aluminum alloys’ yield stress and hardening index based on indentation experiments and finite element simulations. Firstly, the dimensionless analysis of indentation variables was performed on three different aluminum alloys using the same maximum indentation depth to [...] Read more.
This study proposes a method for determining aluminum alloys’ yield stress and hardening index based on indentation experiments and finite element simulations. Firstly, the dimensionless analysis of indentation variables was performed on three different aluminum alloys using the same maximum indentation depth to obtain load-displacement curves. Then, laser confocal microscopy was used to observe the residual indentation morphology. And four dimensionless parameters were derived from the load-displacement curves while another dimensionless parameter was obtained from the projection area of the contact zone. Subsequently, a genetic algorithm was employed to solve these five dimensionless parameters and estimate the yield stress and hardening index. Finally, the predicted results are compared with uniaxial tensile experiments and the results obtained are essentially the same. The yield stress and hardening index can be predicted using this method. And an example is used to verify that this method enables predictions for unidentified “mysterious material” and the expected results agree with the experiments. Full article
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11 pages, 925 KiB  
Article
Simulation and Optimization of Shot Peening Process for CoCrFeNiAlx High-Entropy Alloy
by Xiaodong Li, Guoqing Gou, Chuanhai Jiang and Jijin Xu
Metals 2023, 13(9), 1537; https://doi.org/10.3390/met13091537 - 30 Aug 2023
Viewed by 807
Abstract
In this work, Ti-10V-2Fe-3Al alloy was selected as the test material, and the shot peening process of a CoCrFeNiAlx system high-entropy alloy was simulated based on effective test conditions, and the effects of dry shot peening and wet shot peening on the surface [...] Read more.
In this work, Ti-10V-2Fe-3Al alloy was selected as the test material, and the shot peening process of a CoCrFeNiAlx system high-entropy alloy was simulated based on effective test conditions, and the effects of dry shot peening and wet shot peening on the surface properties were determined. Preliminary simulation results the surface of the test sample display a clear plastic deformation state that gradually diminishes and shifts towards the outermost layer. The stress transfer of the test sample gradually decreases, showing a gradient change, and the twin density also shows a random sample change. Then, the high-entropy alloy shot peening process was optimized, and the best process parameters were determined by analyzing the microhardness data, depth of action layer, and surface state. It was found that after wet shot peening, a new characteristic peak is generated, and with the increase in the size of the shot, its overall kinetic energy becomes increasingly higher, the strain energy of the material surface becomes increasingly higher, and the grain refinement is relatively high. This work provides a new approach to investigating the issues that are present during the shot peening process of CoCrFeNiAlx system high-entropy alloys. Full article
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