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Integrated Computational Materials Engineering (ICME): Accelerated Next Generation of Structural...
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Integrated Computational Materials Engineering (ICME): Accelerated Next Generation of Structural Materials Development

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 August 2024 | Viewed by 6663

Special Issue Editors

Prof. Dr. Yuhong Zhao

E-Mail Website
Guest Editor
School of Materials Science and Engineering, North University of China, Taiyuan 030051, China
Interests: semisolid processing; solid–liquid/solid–solid phase transformation; Al/Mg alloy hydrogen storage
Special Issues, Collections and Topics in MDPI journals
Dr. Junsheng Wang

E-Mail Website
Guest Editor
School of Materials Science & Engineering, and Advanced Research Institute for Multidisciplinary Science (ARIMS), Beijing Institute of Technology, Beijing 100081, China
Interests: aerospace materials; integrated computational materials engineering (ICME); aluminum; magnesium; alloy design; solidification; heat treatment; thermodynamics; kinetics; grain refinement; precipitation
Special Issues, Collections and Topics in MDPI journals
Dr. Renhai Shi

E-Mail Website
Guest Editor
Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China
Interests: Mg, Al, Ti, high-entropy and amorphous structural alloy; thermodynamic/kinetic computation; CALPHAD; plastical deformation theory; molecular dynamic simulations; high-throughput experiment and calculation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the demand for new structural materials has been growing in many applications, great efforts have been spent on their development. Traditionally, structural materials follow the trial-and-error experimental approach. Recently, many new materials and new processes have been invented with new computational tools, such as integrated computational materials engineering (ICME). As a result, this Special Issue is focusing on the development and applications of new metallic materials using ICME.

Articles concerning aluminum alloys, magnesium alloys, and nickel-based superalloys and their processing and characterizations are welcome. This Special Issue will cover— but is not limited to—the following fundamental and applied research topics:

  • Integrated computational materials engineering (ICME);
  • Material and process modeling;
  • Alloy development;
  • Process control;
  • Phase quantification;
  • Thermodynamic calculation;
  • Kinetic modeling;
  • Density functional theory;
  • Molecular dynamics;
  • Microstructure evolution;
  • Forming, joining, machining;
  • Fatigue and fracture;
  • ICME+AI-enabled metallic materials design;
  • Physics-based modeling of process–property;
  • Structural applications (automotive, aerospace, ...).

In keeping with the long-standing tradition of publishing the most recent and highest quality works in Metals, this Special Issue features a collection of manuscripts entitled “Integrated Computational Materials Engineering”, which are the finest and latest breaking articles in metallic materials development from 2022; these all articles are listed with the main indexing services, making them readily searchable, available on the web and citable.

Please ensure your paper is submitted on time, and we thank you for your interest in “Integrated Computational Materials Engineering”.

Prof. Dr. Yuhong Zhao
Prof. Dr. Junsheng Wang
Dr. Renhai Shi
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 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. 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 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

  • alloy development
  • process control
  • thermodynamic calculation
  • kinetic modeling
  • density functional theory
  • molecular dynamics
  • microstructure evolution
  • material and process modeling
  • integrated computational materials engineering
  • forming, joining, machining
  • corrosion
  • fatigue and fracture
  • structural applications (automotive, aerospace, ...)

Published Papers (4 papers)

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Research

16 pages, 25269 KiB  
Article
Improved Method Based on Retinex and Gabor for the Surface Defect Enhancement of Aluminum Strips
by Qi Zhang, Hongqun Tang, Yong Li, Bing Han and Jiadong Li
Metals 2023, 13(1), 118; https://doi.org/10.3390/met13010118 - 06 Jan 2023
Viewed by 1123
Abstract
Aiming at the problems of the blurred image defect contour and the surface texture of the aluminum strip suppressing defect feature extraction when collecting photos online in the air cushion furnace production line, we propose an algorithm for the surface defect enhancement and [...] Read more.
Aiming at the problems of the blurred image defect contour and the surface texture of the aluminum strip suppressing defect feature extraction when collecting photos online in the air cushion furnace production line, we propose an algorithm for the surface defect enhancement and detection of aluminum strips based on the Retinex theory and Gobar filter. The Retinex algorithm can enhance the information and detail part of the image, while the Gobar algorithm can maintain the integrity of the defect edges well. The method first improves the high-frequency information of the image using a multi-scale Retinex based on a Laplacian filter, scales the original image and the enhanced image, and enhances the contrast of the image by adaptive histogram equalization. Then, the image is denoised, and texture suppressed using median filtering and morphological operations. Finally, Gobar edge detection is performed on the obtained sample images by convolving the sinusoidal plane wave and the Gaussian kernel function in the null domain and performing double-threshold segmentation to extract and refine the edges. The algorithm in this paper is compared with histogram equalization and the Gaussian filter-based MSR algorithm, and the surface defects of aluminum strips are significantly enhanced for the background. The experimental results show that the information entropy of the aluminum strip material defect image is improved from 5.03 to 7.85 in the original image, the average gradient of the image is improved from 3.51 to 9.51 in the original image, the contrast between the foreground and background is improved from 16.66 to 117.53 in the original image, the peak signal-to-noise ratio index is improved to 24.50 dB, and the integrity of the edges is well maintained while denoising. This paper’s algorithm effectively enhances and detects the surface defects of aluminum strips, and the edges of defect contours are clearer and more complete. Full article
(This article belongs to the Special Issue Integrated Computational Materials Engineering (ICME): Accelerated Next Generation of Structural Materials Development)
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12 pages, 4674 KiB  
Article
Numerical Simulation of Penetration Process of Depleted Uranium Alloy Based on an FEM-SPH Coupling Algorithm
by Hui Su, Chi Zhang, Zhifei Yan, Ping Gao, Hong Guo, Guanchen Pan and Junsheng Wang
Metals 2023, 13(1), 79; https://doi.org/10.3390/met13010079 - 28 Dec 2022
Cited by 1 | Viewed by 1923
Abstract
In order to quantitatively study the penetration capability of depleted uranium alloy, a simulation model of bullet impact on target plate with FEM-SPH coupling algorithm was established by using LS-DYNA software, which was combined with Johnson-Cook intrinsic model, Johnson-Cook fracture criterion, and equation [...] Read more.
In order to quantitatively study the penetration capability of depleted uranium alloy, a simulation model of bullet impact on target plate with FEM-SPH coupling algorithm was established by using LS-DYNA software, which was combined with Johnson-Cook intrinsic model, Johnson-Cook fracture criterion, and equation of state to conduct a simulation study of alloy bullets made of depleted uranium alloy, tungsten alloy, and high-strength steel to penetrate target plate at 1400 m/s initial velocity. The results show that under the same conditions of initial kinetic energy, initial velocity, and initial volume, the residual kinetic energy of the depleted uranium alloy bullet is 1.14 times that of tungsten alloy and 1.20 times that of high-strength steel, and the residual velocity is 1.14 times that of tungsten alloy and 1.18 times that of steel, and the residual volume is 1.13 times that of tungsten alloy and 1.23 times that of steel after the penetration is completed. The shape of the bullet after penetrating the target plate is relatively sharp, and the diameter of the target hole formed is about 1.70 times the diameter of the projectile, which is significantly larger than 1.54 times that of tungsten alloy and 1.39 times that of high-strength steel, indicating the excellent penetration performance of depleted uranium alloy. Full article
(This article belongs to the Special Issue Integrated Computational Materials Engineering (ICME): Accelerated Next Generation of Structural Materials Development)
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13 pages, 5019 KiB  
Article
Numerical Simulation and Experimental Studies of Gas Pressure Infiltration Al-356/SiC Composites
by Yanni Gong, Abdul Malik, Yangwei Wang, Sijia Feng, Denghui Zhao and Chunyuan Yuan
Metals 2022, 12(12), 2150; https://doi.org/10.3390/met12122150 - 14 Dec 2022
Cited by 1 | Viewed by 1188
Abstract
In this study, the filling process, solidification parameters, temperature distribution, and residual stress distribution of gas pressure-infiltrated Al-356/SiC composites were investigated through simulation and experiment. In addition, a series of orthogonal tests was also carried out to precisely demonstrate the preheating temperature, infiltration [...] Read more.
In this study, the filling process, solidification parameters, temperature distribution, and residual stress distribution of gas pressure-infiltrated Al-356/SiC composites were investigated through simulation and experiment. In addition, a series of orthogonal tests was also carried out to precisely demonstrate the preheating temperature, infiltration temperature, and infiltration pressure. After a thorough analysis, the orthogonal tests revealed that the optimal process parameters are as follows: the SiC preheating temperature is 550 °C, the infiltration temperature of the Al-356 alloy is 620 °C, and the infiltration pressure is 8 MPa. The simulation results revealed that pressure had a sharp decrease of ~87% during filling, and the critical pressure was ~0.12 MPa. The velocity decreased with the increase in the filling time, and the average velocity was ~2.60 ms−1. Feasible analysis suggested that critical pressure is ~0.11 MPa and average velocity is ~4.20 ms−1; this difference is attributed to apparent velocity and the Kozeny constant. In the solidification process, shrinkage porosity appeared in the centers of the composites, which is evident with scanning electron microscopy. Moreover, the stress concentration of 171.3 MPa appeared in the composite region connected with the runner, which is the cause of the nucleation of the crack. However, based on the optimum orthogonal parameters and simulative results, the stress concentration was reduced, and crack-free and porosity-free composites were achieved. Full article
(This article belongs to the Special Issue Integrated Computational Materials Engineering (ICME): Accelerated Next Generation of Structural Materials Development)
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11 pages, 1405 KiB  
Article
Facile Synthesis of PtPd Network Structure Nanochains Supported on Multi-Walled Carbon Nanotubes for Methanol Oxidation
by Dawei Zhang, Yanrong Ren, Zhenhua Jin, Yonghua Duan, Mingli Xu and Jie Yu
Metals 2022, 12(11), 1911; https://doi.org/10.3390/met12111911 - 08 Nov 2022
Cited by 2 | Viewed by 1320
Abstract
In this paper, a PtPd NC catalyst with a network structure of nanochains was prepared with KBr as a structure-directing agent, NaBH4 as a reducing agent, and modified multi-walled carbon nanotubes (MWCNTs) as a support. The experimental results show that the structure-directing [...] Read more.
In this paper, a PtPd NC catalyst with a network structure of nanochains was prepared with KBr as a structure-directing agent, NaBH4 as a reducing agent, and modified multi-walled carbon nanotubes (MWCNTs) as a support. The experimental results show that the structure-directing agent KBr helps to form a particular type of nanochain with a network topology. PtPd NCs with various ratios (Pt:Pd = 2:1, 1:1, 1:2) have respective diameters of 30 nm, 35 nm, and 23 nm. With numerous structural flaws at the junctions, the nanochains’ distinctive network structure increases the number of active sites on the PtPd nanocenter surface. Electrochemical characterization results show that the current density of the PtPd NCs is about 658.5 mA mg−1, 1.5-times that of the Pt/C catalyst and 3.9-times that of the commercial Pd/C catalyst. Furthermore, it has better electrocatalytic stability for methanol oxidation than Pd/C and Pt/C catalysts. Full article
(This article belongs to the Special Issue Integrated Computational Materials Engineering (ICME): Accelerated Next Generation of Structural Materials Development)
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