applsci-logo

Journal Browser

Journal Browser

Mechanical Properties and Numerical Analysis of Metal and Composite Materials

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 219

Special Issue Editors

Special Issue Information

Dear Colleagues,

Materials science and engineering play a crucial role in the development of innovative solutions for various industrial applications. In this context, understanding the mechanical properties of metals and composite materials is essential for optimizing their performance under different loading conditions. Numerical analysis has become an indispensable tool for predicting material behavior, enabling researchers to design and improve materials efficiently.

This Special Issue will collect original research and review articles focusing on the mechanical characterization and numerical modeling of metallic and composite materials. Topics of interest include, but are not limited to, the following:

  • Experimental investigation of mechanical properties (tensile, compression, fatigue, impact, and fracture behavior);
  • Advanced numerical methods for modeling material behavior (FEM, XFEM, multiscale modeling, etc.);
  • Damage mechanisms and failure analysis;
  • Effects of processing techniques on mechanical performance;
  • Hybrid and functionally graded materials;
  • Applications of AI and machine learning in material modeling.

We invite contributions from researchers and industry professionals to share their latest findings and advancements in this field.

Dr. Guido Di Bella
Dr. Vincenzo Fiore
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. Applied Sciences 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 2400 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

  • composites
  • metals
  • testing
  • failure
  • FEA
  • AI
  • machine learning
  • manufacturing

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 3599 KiB  
Article
A Simulation of the Densification Process of NdFeB Bulks by a Modified Drucker–Prager Cap Model
by Tao Song, Wenbin Jin, Fang Cheng, Bo Sun, Wenbin Qiu, Nan Liu, Hongliang Ge, Rui Wang and Huayun Mao
Appl. Sci. 2025, 15(13), 7173; https://doi.org/10.3390/app15137173 - 26 Jun 2025
Viewed by 81
Abstract
During the sintering process of NdFeB bulks, temperature changes and significant temperature differences between the bulk interior and the surface region will produce high residual stress. Temperature field and stress field prediction during the sintering process is one of the key techniques for [...] Read more.
During the sintering process of NdFeB bulks, temperature changes and significant temperature differences between the bulk interior and the surface region will produce high residual stress. Temperature field and stress field prediction during the sintering process is one of the key techniques for analyzing residual stress. Therefore, the sintering process simulation and residual stress prediction of NdFeB bulks under different sintering temperatures were conducted based on the modified Drucker–Prager cap (DPC) model in ABAQUS (ABAQUS 2024). The calculated field cloud charts were analyzed against the microstructure of the bulks observed by scanning electron microscope (SEM). The finite element analysis (FEA) results of the sintering process and the residual stress show good agreement with SEM morphologies, which validates the accuracy and predictability of the model. The results indicate that cracks predominantly formed in edge regions. As the sintering temperature increased, longitudinal compressive stress at the edge of the cross-section transitioned into tensile stress. These results indicate that the developed simulation framework effectively identifies crack-prone areas, enabling data-driven optimization to reduce experimental trial-and-error costs in engineering applications. Full article
Show Figures

Figure 1

Back to TopTop