Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
2.9
Journals
Metals
Special Issues
Structural and Functional Performances of Multi-Component Alloys
share announcement

Structural and Functional Performances of Multi-Component Alloys

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Entropic Alloys and Meta-Metals".

Deadline for manuscript submissions: 23 August 2024 | Viewed by 1438

Special Issue Editors

Dr. Mao Zhang

E-Mail Website
Guest Editor
School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: high-temperature oxidation; surface engineering; metal plastic forming; metallic glass
Dr Zhen Peng

E-Mail Website
Guest Editor
School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: bulk metallic glass; high-entropy alloys; mechanical behavior; additive manufacturing
Prof. Dr. Pan Gong

E-Mail Website
Guest Editor
School of Materials Science and Engineering, State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: bulk metallics glasses; high-entropy alloys; titanium alloys; metallic composites; precision metal plastic forming; powder metallurgy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are delighted to introduce this Special Issue, "Structural and Functional Performance of Multi-Component Alloys."

Multi-component alloys, which often contain multiple phases and elements, offer a wealth of opportunities for tailoring their mechanical, electrical, magnetic, catalytic, and other functional properties to meet the specific requirements of various applications.

Methods for the preparation of multi-component alloys vary widely, including casting, rolling, extrusion, and powder metallurgy. The selection of preparation methods depends on the desired microstructure and properties of the alloys. Heat treatment and surface treatment are also crucial processes that can significantly affect their mechanical and functional properties. Forming processes such as plastic deformation, additive manufacturing, and machining not only allow for the precise and efficient shaping of multi-component alloys, but also change their microstructure as well as performance. Failure behavior determines the service life of multi-component alloys and is a crucial factor in material selection.

This Special Issue focuses on the latest research and developments in the field of multi-component alloys. We welcome articles on theories, techniques, devices, and simulation methods for the preparation, processing, forming, and failure of multi-component materials.

We believe that this issue will serve as a valuable reference for researchers and practitioners interested in preparing, processing, forming, and applying multi-component alloys. We hope that it will stimulate further research and developments in this rapidly advancing field.

Dr. Mao Zhang
Dr Zhen Peng
Prof. Dr. Pan Gong
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

  • multi-component alloys
  • structural and functional performance
  • preparation
  • forming
  • surface treatment
  • heat treatment
  • failure
  • simulation

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 1984 KiB  
Article
Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates
by Yan Kong, Xiaoyi Cui, Zhibing Zhang and Yuqi Liu
Metals 2024, 14(5), 579; https://doi.org/10.3390/met14050579 - 14 May 2024
Viewed by 256
Abstract
The forming process of multi-alloy gears by metal powder injection molding is tedious, and the current design process mainly depends on the experience of designers, which seriously affects the product development cycle and forming quality. In order to solve the problem of the [...] Read more.
The forming process of multi-alloy gears by metal powder injection molding is tedious, and the current design process mainly depends on the experience of designers, which seriously affects the product development cycle and forming quality. In order to solve the problem of the gear feature expression being missing, which hinders the automatic retrieval of similar parts in the analogical design process, a feature recognition and intelligent retrieval method for a multi-alloy powder injection molding gear based on partition templates is proposed in this paper. The partition templates of the gear are defined, and gear digitization is completed by using the automatic recognition algorithm. Searching for similar gear parts in the knowledge base, designers can analogically design the forming process for new parts according to the mature process of the parts in the knowledge base. The automatic identification and intelligent retrieval system developed according to this method has been implemented in two MIM (metal injection molding) product manufacturing enterprises. Case studies and industrial applications have proved the effectiveness of the system, the efficiency of identification and retrieval has been improved by more than 97%, and the number of mold tests has been reduced by 60%. Full article
(This article belongs to the Special Issue Structural and Functional Performances of Multi-Component Alloys)
22 pages, 7585 KiB  
Article
Study on the Flow Behavior of 5052 Aluminum Alloy over a Wide Strain-Rate Range with a Constitutive Model Based on the Arrhenius Model Extension
by Huijuan Ma, Peiliao Wang, Xiang Huang, Wenjie Mao, Zhiang Gong, Mao Zhang and Hui Zhu
Metals 2023, 13(12), 1948; https://doi.org/10.3390/met13121948 - 28 Nov 2023
Viewed by 932
Abstract
The formability at room temperature and low speed limits the application of aluminum alloy, while high strain rates positively improve the formability of materials. The constitutive behaviors of materials under high strain rates or impact loadings are significantly different from those under quasi-static [...] Read more.
The formability at room temperature and low speed limits the application of aluminum alloy, while high strain rates positively improve the formability of materials. The constitutive behaviors of materials under high strain rates or impact loadings are significantly different from those under quasi-static conditions, while few constitutive models consider the effect of the mobile dislocation and forest dislocation evolution on the dynamic strain aging (DSA) over a wide strain-rate range. The 5052 aluminum alloy, of which the primary source of strain-hardening is dislocation–dislocation interaction, is widely used in manufacturing automotive covering parts and is considered one of the most promising alloys. Therefore, this study conducts uniaxial tensile tests on AA5052-O under conditions of temperatures ranging from 293 K to 473 K and strain rates ranging from 0.001 s−1 to 3000 s−1, and compares the stress–strain relationships of AA5052-O under different conditions to illustrate the constitutive relationship affected by the dislocation evolution over a wide strain-rate range. The Arrhenius model based on the thermal activation mechanism is modified and extended by considering the effects of dynamic strain aging (DSA), drag stress, and the evolution of mobile dislocation and forest dislocation. Thus, a new physics-based constitutive model for AA5052-O is proposed, which can well reflect the change in strain-rate sensitivity with the strain rate increasing. The mobile dislocation density and total dislocation density are predicted with a modified Kubin–Estrin (KE) model, and the influences of variable mobile dislocation on DSA and dislocation drag are discussed as well. In order to verify the reliability of the new constitutive model, the dislocation densities of the specimens before and after deformation are obtained with TEM and XRD, which are in good agreement with the predicted values. This study also compares the newly proposed model with classic constitutive models using multiple statistical evaluation methods, which shows that the new physics-based constitutive model has not only more clear physical meanings for its parameters but also has a higher prediction accuracy. Full article
(This article belongs to the Special Issue Structural and Functional Performances of Multi-Component Alloys)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop