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Mechanical Performance and Microstructural Characterization of Light Alloys (Volume II)

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Metals and Alloys".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 2100

Special Issue Editor


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Guest Editor
School of Materials Science and Engineering, Central South University, Changsha 410083, China
Interests: microstructure characterization; plastic deformation and recrystallization of light metals; mechanical property
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

After our successful first volume of the Special Issue “Mechanical Performance and Microstructural Characterization of Light Alloys”, we decided to make the special issue as a collection on light alloy. Light alloys, such as aluminum, magnesium and titanium, are important materials for the automobile, aircraft, and electronic industries. In recent decades, fruitful studies have reported on the microstructure characteristics, mechanical performance, and the advantages of light alloys. Many outstanding studies have accelerated the fast progress of our everyday life. Of course, to the best of our knowledge, there are still many unknown theories and unsolved problems in light alloys. Thus, to further trigger the development of light alloys, we should research the relationship between microstructure characteristics and mechanical performance more deeply. For this reason, the present Special Issue “Mechanical Performance and Microstructural Characterization of Light Alloys” is proposed. This Special Issue aims to collect excellent studies on light alloys from around the world, including but not limited to aluminum alloys; magnesium alloys; titanium alloy; mechanical performance; microstructure characterization; heat treatment; plastic processing; precipitation; phase transformation; SEM; EBSD; FIB; TEM; and in situ X-ray.

We welcome you to submit your excellent work to this Special Issue, “Mechanical Performance and Microstructural Characterization of Light Alloys”, which will be published in Materials.

Dr. Qinghuan Huo
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. Materials is an international peer-reviewed open access semimonthly 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

  • aluminum alloys
  • magnesium alloys
  • titanium alloy
  • mechanical performance
  • microstructure characterization
  • heat treatment
  • plastic processing
  • precipitation
  • phase transformation

Related Special Issue

Published Papers (4 papers)

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Research

17 pages, 9001 KiB  
Article
Investigation of the Penetration Performance of the Radial Forging Process for Wrought Aluminium Alloy
by Yongfei Wang, Linhua Xiong, Dongxiao Feng, Shengdun Zhao and Yi Guo
Materials 2024, 17(9), 2065; https://doi.org/10.3390/ma17092065 - 27 Apr 2024
Viewed by 375
Abstract
With the wide application potential of wrought aluminium alloy in aerospace, automobile and electronic products, high-quality aluminium bars prepared by the radial forging (RF) process have received extensive attention. Penetration performance refers to the depth of radial plastic deformation of forgings, which is [...] Read more.
With the wide application potential of wrought aluminium alloy in aerospace, automobile and electronic products, high-quality aluminium bars prepared by the radial forging (RF) process have received extensive attention. Penetration performance refers to the depth of radial plastic deformation of forgings, which is the key factor in determining the quality of forging. In this work, the penetration performance of the radial forging process for 6063 wrought aluminium bars is investigated by simulation using FORGE software. The minimum reduction amount of the hammer is calculated based on the forging penetration theory of forging. The influence of process parameters including forging ratio (FR) and billet temperature on the effective stress and hammer load in the RF process are investigated. The RF-deformed billet is then produced with the optimal process parameters obtained from the simulation results. The average grain size of aluminium alloy semi-solid spherical material is used to evaluate the forging penetration. Simulation results showed that the effective strain at the edge and the centre of the RF-deformed billet gradually increases, but the increasing speed of the effective strain at the edge becomes low. The hammer load first decreases quickly and then gradually maintains stability by increasing the FR. It is found that low billet temperature and high FR should be selected as appropriate process parameters under the allowable tonnage range of RF equipment. Under an isothermal temperature of 630 °C and a sustaining time of 10 min, the difference in the average grain dimension between the edge and the centre positions of the starting extruded blank is 186.43 μm, while the difference in the average grain dimension between the edge and the centre positions of the RF-deformed blank is 15.09 μm. The improvement ratio of penetration performance for the RF-deformed blank is obtained as 91.19%. Full article
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14 pages, 3253 KiB  
Article
Effect of Chemical Composition on the Thermoplastic Formability and Nanoindentation of Ti-Based Bulk Metallic Glasses
by Mengliang Chen, Liu Zhu, Yingwei Chen, Sheng Dai, Qijie Liu, Na Xue, Weiwei Li, Jinfang Wang, Yingqi Huang, Kaice Yang and Ling Shao
Materials 2024, 17(7), 1699; https://doi.org/10.3390/ma17071699 - 08 Apr 2024
Viewed by 432
Abstract
A series of Ti41Zr25Be34-xNix (x = 4, 6, 8, 10 at.%) and Ti41Zr25Be34-xCux (x = 4, 6, 8 at.%) bulk metallic glasses were investigated to [...] Read more.
A series of Ti41Zr25Be34-xNix (x = 4, 6, 8, 10 at.%) and Ti41Zr25Be34-xCux (x = 4, 6, 8 at.%) bulk metallic glasses were investigated to examine the influence of Ni and Cu content on the viscosity, thermoplastic formability, and nanoindentation of Ti-based bulk metallic glasses. The results demonstrate that Ti41Zr25Be30Ni4 and Ti41Zr25Be26Cu8 amorphous alloys have superior thermoplastic formability among the Ti41Zr25Be34-xNix and Ti41Zr25Be34-xCux amorphous alloys due to their low viscosity in the supercooled liquid region and wider supercooled liquid region. The hardness and modulus exhibit obvious variations with increasing Ni and Cu content in Ti-based bulk metallic glasses, which can be attributed to alterations in atomic density. Optimal amounts of Ni and Cu in Ti-based bulk metallic glasses enhance thermoplastic formability and mechanical properties. The influence of Ni and Cu content on the hardness of Ti-based bulk metallic glasses is discussed from the perspective of the mean atomic distance. Full article
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16 pages, 4290 KiB  
Article
Comparison of the Microstructural, Mechanical and Corrosion Resistance Properties of Ti6Al4V Samples Manufactured by LENS and Subjected to Various Heat Treatments
by Anna Antolak-Dudka, Tomasz Czujko, Tomasz Durejko, Wojciech J. Stępniowski, Michał Ziętala and Justyna Łukasiewicz
Materials 2024, 17(5), 1166; https://doi.org/10.3390/ma17051166 - 01 Mar 2024
Viewed by 496
Abstract
In this paper, the influences of two post-heat treatments on the structural, mechanical and corrosion resistance properties of additively manufactured Ti6Al4V alloys were discussed in detail. The materials were produced using the laser engineering net shaping (LENS) technique, and they were subjected to [...] Read more.
In this paper, the influences of two post-heat treatments on the structural, mechanical and corrosion resistance properties of additively manufactured Ti6Al4V alloys were discussed in detail. The materials were produced using the laser engineering net shaping (LENS) technique, and they were subjected to annealing without pressure and hot isostatic pressing (HIP) under a pressure of 300 MPa for 30 min at temperatures of 950 °C and 1050 °C. Annealing without pressure led to the formation of a thin plate structure, which was accompanied by decreasing mechanical properties and increasing elongation and corrosion resistance values. For the HIP process, the formation of a thick plate structure could be observed, resulting in the material exhibiting optimal mechanical properties and unusually high elongation. The best mechanical and corrosion resistance properties were obtained for the material subjected to HIP at 950 °C. Full article
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23 pages, 12165 KiB  
Article
Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets
by Piotr Lacki, Anna Derlatka, Wojciech Więckowski and Janina Adamus
Materials 2024, 17(3), 672; https://doi.org/10.3390/ma17030672 - 30 Jan 2024
Cited by 1 | Viewed by 570
Abstract
The article describes machine learning using artificial neural networks (ANNs) to develop the parameters of the friction stir welding (FSW) process for three types of aluminum joints (EN AW 7075). The ANNs were built using a total of 608 experimental data. Two types [...] Read more.
The article describes machine learning using artificial neural networks (ANNs) to develop the parameters of the friction stir welding (FSW) process for three types of aluminum joints (EN AW 7075). The ANNs were built using a total of 608 experimental data. Two types of networks were built. The first one was used to classify good/bad joints with MLP 7-19-2 topology (one input layer with 7 neurons, one hidden layer with 19 neurons, and one output layer with 2 neurons), and the second one was used to regress the tensile load-bearing capacity with MLP 7-19-1 topology (one input layer with 7 neurons, one hidden layer with 19 neurons, and one output layer with 1 neuron). FSW parameters, such as rotational speed, welding speed, and joint and tool geometry, were used as input data for ANN training. The quality of the FSW joint was assessed in terms of microstructure and mechanical properties based on a case study. The usefulness of both trained neural networks has been demonstrated. The quality of the validation set for the regression network was approximately 93.6%, while the errors for the confusion matrix of the test set never exceeded 6%. Only 184 epochs were needed to train the regression network. The quality of the validation set was approximately 87.1%. Predictive maps were developed and presented in the work, allowing for the selection of optimal parameters of the FSW process for three types of joints. Full article
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