You are currently on the new version of our website. Access the old version .

Metals, Volume 15, Issue 9

2025 September - 132 articles

Cover Story: A fresh review delves into ~370 papers on machine learning and AI for select metal additive manufacturing (AM) processes. The intersection of these topics since 2020 indicates that the research is booming and has not plateaued. Top wins include smarter process tuning, live monitoring, defect spotting, and melt-pool prediction. However, gaps remain, including closed-loop control and lack of generalization across systems. Future research directions are outlined, emphasizing the need for integrated thermo-mechanical models, uncertainty quantification, and adaptive control strategies. This review serves as a resource for researchers aiming to advance intelligent control and predictive modeling in directed energy deposition-based AM. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (132)

  • Article
  • Open Access
652 Views
17 Pages

20 September 2025

The application of lightweight materials in the automotive industry can effectively achieve further weight reduction while maintaining overall structural strength, thereby reducing energy consumption. Currently, friction stir spot welding (FSSW) is t...

  • Article
  • Open Access
3,772 Views
16 Pages

Solid-State Recycling of AA6063 Aluminum Chips via Accumulative Roll Bonding: A Green Pathway to High-Performance Materials

  • Mauro Carta,
  • Noomane Ben Khalifa,
  • Pasquale Buonadonna,
  • Francesco Aymerich and
  • Mohamad El Mehtedi

19 September 2025

Accumulative Roll Bonding (ARB) is a severe plastic deformation process typically used to produce ultra-fine-grained structures. This study investigates the feasibility of using the ARB process to recycle aluminum chips from an Al-Mg-Si alloy (AA6063...

  • Article
  • Open Access
951 Views
22 Pages

19 September 2025

The oxygen blast furnace (OBF) is a promising technology for ironmaking, and its burden distribution pattern plays a key role in optimizing performance. This study investigates the impact of the peripheral opening extent (POE), which reflects the cok...

  • Article
  • Open Access
1 Citations
2,828 Views
19 Pages

19 September 2025

The hot stamping process of aluminum alloys involves multiple parameters, including blank holder force, stamping speed, die temperature, and friction coefficient. Traditional methods often fail to capture the nonlinear interactions among these parame...

  • Article
  • Open Access
753 Views
20 Pages

19 September 2025

In this paper, an optimization strategy for the hydroforming process of bellows is proposed, based on finite element analysis, design of experiments, response surface methodology, and genetic algorithms. A numerical model of the bellows hydroforming...

  • Article
  • Open Access
650 Views
12 Pages

19 September 2025

This study comprehensively evaluates the latent heat of hypoeutectic AlSi5Cu alloys with 1, 2, and 4% of Cu by mass, investigating their solidification behavior under controlled cooling conditions. Latent heat, a critical thermophysical property, sig...

  • Article
  • Open Access
613 Views
22 Pages

Towards a Global Constitutive Formulation for Modeling the Hot Working Behavior of Low-Carbon Steels

  • Unai Mayo,
  • Sergio Fernandez-Sanchez,
  • Isabel Gutierrez,
  • Denis Jorge-Badiola and
  • Amaia Iza-Mendia

19 September 2025

The current study explores the applicability of a single constitutive equation, based on the Arrhenius hyperbolic sine model, to a wide range of chemical compositions and test conditions by using a unique approximation. To address this challenge, a m...

  • Article
  • Open Access
1 Citations
554 Views
20 Pages

Internal SEN Design and Its Influence on Fluid Dynamics in Slab Molds: A Combined Numerical and Experimental Analysis

  • Edith Ramos-Cardona,
  • Ismael Calderon-Ramos,
  • Rodolfo Morales Dávila,
  • Rumualdo Servín-Castañeda,
  • Alejandro Pérez-Alvarado,
  • Sixtos A. Arreola-Villa,
  • Alma R. Méndez-Gordillo and
  • Saúl García-Hernández

19 September 2025

The optimization of submerged entry nozzle (SEN) designs plays a pivotal role in achieving stable flow conditions and high-quality steel production during continuous casting. This study presents a comparative analysis of two SEN geometries under iden...

  • Article
  • Open Access
747 Views
16 Pages

Influence of Pre-Corrosion in NaCl Solution on Cavitation Resistance of Steel Samples (42CrMo4)

  • Stanica Nedović,
  • Ana Alil,
  • Sanja Martinović,
  • Stefan Dikić and
  • Tatjana Volkov-Husović

19 September 2025

Marine applications often involve metallic materials, including steel, that must endure harsh conditions such as cavitation erosion (CE). This study investigates the CE behavior of 42CrMo4 steel, both in its original state and after pre-corrosion in...

  • Article
  • Open Access
932 Views
17 Pages

19 September 2025

Selecting appropriate materials is crucial for mitigating the severe economic and safety challenges posed by microbiologically induced corrosion (MIC) in marine and industrial settings. This study focuses on the MIC behavior of 316L austenitic stainl...

of 14

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Metals - ISSN 2075-4701