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Metals
Special Issues
Alloy Design and Its Performance Trade-Offs
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Alloy Design and Its Performance Trade-Offs

A special issue of Metals (ISSN 2075-4701).

Deadline for manuscript submissions: 31 July 2025 | Viewed by 2684

Special Issue Editor

Dr. Seyedmehdi Hosseini

E-Mail Website
Guest Editor
Brunel Centre for Advanced Solidification Technology (BCAST), Brunel University London, Uxbridge UB8 3PH, UK
Interests: alloy design and development; thermomechanical processing; casting; quasicrystals

Special Issue Information

Dear Colleagues,

Alloy design can be a crucial step in developing advanced metallic materials, directly affecting their performance and application. Balancing properties such as strength, ductility, formability, and conductivity is essential for creating high-performance alloying systems. Modern metallurgy focuses on enhancing these properties simultaneously through innovative manufacturing processes and thermomechanical treatments. Understanding the relationships between alloy chemistry, microstructural features, and processing parameters is key to achieving optimal performance. Recent research in this field has allowed for significant advancements, particularly in nanostructured metallic materials and advanced thermomechanical processing techniques. These developments have important implications for alloy design and optimization, offering improved performance across various applications.

This Special Issue aims to present the latest research on alloy design and performance trade-offs. Topics of interest include novel alloy systems, the effects of processing techniques on properties, the role of microstructure in performance, and strategies for balancing conflicting properties through experimental and computational platforms. Specific areas of focus are high-entropy and nanostructured alloys, thermomechanical processing, grain refinement, solid solution strengthening, precipitation hardening, and computational methods for the design and optimization of new alloys. We welcome manuscript submissions to this Special Issue that cover these topics.

Dr. Seyedmehdi Hosseini
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. 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 design
  • performance trade-offs
  • manufacturing process
  • thermomechanical treatment
  • alloy chemistry
  • microstructural features
  • solid solution strengthening
  • precipitation hardening
  • computational methods

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Published Papers (3 papers)

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Research

30 pages, 2254 KiB  
Article
From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy
by Rafael Herschberg, Lisa Rateau, Laure Martinelli, Fanny Balbaud-Célérier, Jean Dhers, Anna Fraczkiewicz, Gérard Ramstein and Franck Tancret
Metals 2024, 14(12), 1412; https://doi.org/10.3390/met14121412 - 10 Dec 2024
Viewed by 529
Abstract
A method is developed to exploit data on complex materials behaviors that are impossible to tackle by conventional machine learning tools. A pairwise comparison algorithm is used to assess a particular property among a group of different alloys tested simultaneously in identical conditions. [...] Read more.
A method is developed to exploit data on complex materials behaviors that are impossible to tackle by conventional machine learning tools. A pairwise comparison algorithm is used to assess a particular property among a group of different alloys tested simultaneously in identical conditions. Even though such characteristics can be evaluated differently across teams, if a series of the same alloys are analyzed among two or more studies, it is feasible to infer an overall ranking among materials. The obtained ranking is later fitted with respect to the alloy’s composition by a Gaussian process. The predictive power of the method is demonstrated in the case of the resistance of metallic materials to molten salt corrosion and wear. In this case, the method is applied to the design of wear-resistant hard-facing alloys by also associating it with a combinatorial optimization of their composition by a multi-objective genetic algorithm. New alloys are selected and fabricated, and their experimental behavior is compared to that of concurrent materials. This generic method can therefore be applied to model other complex material properties—such as environmental resistance, contact properties, or processability—and to design alloys with improved performance. Full article
(This article belongs to the Special Issue Alloy Design and Its Performance Trade-Offs)
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15 pages, 3880 KiB  
Article
Trade-Off Between Wear/Corrosion Performance and Mechanical Properties in D-AlNiCo Poly-Quasicrystals Through CNT Addition to the Microstructure
by Seyedmehdi Hosseini, Pavel Novák, Mostafa Alishahi, Zdeněk Kačenka and Petr Šittner
Metals 2024, 14(11), 1269; https://doi.org/10.3390/met14111269 - 8 Nov 2024
Viewed by 667
Abstract
An ultrafine-grained Al71Ni14.5Co14.5/CNT poly-quasicrystal (QC/CNT) composite was synthesized using spark plasma sintering of powder components developed through electroless Ni-P/CNT plating of Co particles and mechanical alloying. The performance of the synthesized samples was studied using various testing [...] Read more.
An ultrafine-grained Al71Ni14.5Co14.5/CNT poly-quasicrystal (QC/CNT) composite was synthesized using spark plasma sintering of powder components developed through electroless Ni-P/CNT plating of Co particles and mechanical alloying. The performance of the synthesized samples was studied using various testing methods, such as room temperature/hot compression, wear, and corrosion tests. The results were compared to the properties of alloy samples fabricated from raw and coated powders (without CNTs). The wear rate and friction coefficient of the quasicrystalline samples improved significantly due to the contribution of the CNTs. The wear rate of the CNT-containing specimens was 0.992 × 10−4 mm3/N/m, which is 47.1% lower than that of the QC sample. The positive impact of the CNTs on the corrosion potential and current density was further validated by the potentiodynamic polarization tests in a saline solution. However, these improvements in surface properties came at the cost of a 21.5% reduction in compressive strength, although the compressive strength still remained above 1.1 GPa at 600 °C. The results highlight an interesting trade-off between surface properties and mechanical strength, pointing toward the development of materials suitable for extreme conditions. Full article
(This article belongs to the Special Issue Alloy Design and Its Performance Trade-Offs)
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19 pages, 11907 KiB  
Article
Examination of Novel Titanium-639 Alloy as a Means of Balancing Strength and Ductility through Molybdenum Addition Rather than Prolonged Aging Heat Treatment
by Shiraz Mujahid, Alireza Fadavi Boostani, YubRaj Paudel, Andrew Oppedal, Bhasker Paliwal, Hongjoo Rhee and Haitham El Kadiri
Metals 2024, 14(7), 828; https://doi.org/10.3390/met14070828 - 18 Jul 2024
Viewed by 1084
Abstract
Manufacturing titanium alloys with simultaneous enhancement in strength and ductility has motivated extensive research into various strategies for regulating the arrangement and texture of α and β phases. The present study explores a novel α + β titanium alloy, TIMETAL 639 (Ti-639), produced [...] Read more.
Manufacturing titanium alloys with simultaneous enhancement in strength and ductility has motivated extensive research into various strategies for regulating the arrangement and texture of α and β phases. The present study explores a novel α + β titanium alloy, TIMETAL 639 (Ti-639), produced by replacing a portion of vanadium in Ti-64 with molybdenum. The low diffusivity and β-stabilizing effects of molybdenum help retain bimodal characteristics within solution heat-treated Ti-639 microstructures. EBSD and TEM were used to examine β-phase evolution after thermal processing and recrystallization of new globular α grains within pre-existing colonies in a depleted bimodal microstructure. These depleted bimodal colonies in solution heat-treated Ti-639 also led to lower misorientation spreads and dislocation densities within neighboring primary α grains. Quasi-static compression along the plate normal direction demonstrated the ability of the depleted bimodal microstructure to simultaneously enhance strength and ductility in Ti-639 (~90 MPa stronger, ~6% higher failure strain) versus identically processed Ti-64. Only one solution heat-treatment step (1 h at 900 °C) is needed to achieve these properties in Ti-639, whereas comparable properties in Ti-64 required prolonged aging heat treatment (24 h at 600 °C) after the same solution heat-treatment step, making Ti-639 a viable α + β alloy candidate. Full article
(This article belongs to the Special Issue Alloy Design and Its Performance Trade-Offs)
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