Fusion Welding, 2nd Edition

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Welding and Joining".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 1102

Special Issue Editor


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Guest Editor
Welding Department, Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego Street 18A, 44-100 Gliwice, Poland
Interests: weldability of modern construction materials; metallurgy of welding processes; quality control of welding processes; abrasive and erosive wear processes and the use of nanostructured carbon materials to modify the properties and structure of welds; plasma cutting
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Special Issue Information

Dear Colleagues,

I invite you to prepare scientific publications on broadly understood welding technologies used to join advanced construction materials and modify the properties of surface layers in materials engineering as part of the 2nd edition of the Special Issue titled “Fusion Welding”. The welding process is still the basic technology for joining conventional and modern construction materials, ensuring high-quality joints. This process is characterized by many specific features associated with the variable temperature field and with variations in a wide range of physical and mechanical properties of the welded material. I invite you to send scientifically valuable articles for a Special Issue entitled “Fusion Welding”. Its scope is very wide and covers virtually all welding technologies, as well as monitoring, diagnostics, and process simulation. I suggest that articles are related to advanced welding methods, unconventional welding solutions or are focused on combining high-strength materials, both steel and nonferrous, as well as nanostructured. Studies on the monitoring of fusion welding processes as well as work on the computer analysis of phenomena occurring in the welded area are also welcome. I believe that the Metals journal  is a journal where it is worth publishing your research results for dissemination to a wide audience.

The scope of this Special Issue will serve as a forum for papers on the following concepts:

- Technologies for combining modern construction materials;
- Technologies for producing surface layers using welding methods;
- Modern additional materials with special functional properties;
- Use of computer methods to predict the properties of welded joints;
- Qualitative assessment of broadly understood modifications of surface layers and welded joints;
- Diagnostics of production processes;
- The use of artificial intelligence in the diagnosis of welding processes.

Prof. Dr. Jacek Górka
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

  • manufacturing technologies
  • surface layers
  • properties and structure
  • arc welding
  • laser and electron beam welding
  • plasma welding
  • unconventional welding methods
  • welding of high-strength steels
  • welding of non-ferrous metals
  • monitoring of fusion welding
  • numerical analysis of fusion welding processes

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Published Papers (1 paper)

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Research

18 pages, 35240 KiB  
Article
Selection of Trajectories to Improve Thermal Fields During the Electric Arc Welding Process Using Hybrid Model CFD-FNN
by Sixtos A. Arreola-Villa, Alma Rosa Méndez-Gordillo, Alejandro Pérez-Alvarado, Rumualdo Servín-Castañeda, Ismael Calderón-Ramos and Héctor Javier Vergara-Hernández
Metals 2025, 15(2), 154; https://doi.org/10.3390/met15020154 - 3 Feb 2025
Viewed by 715
Abstract
Effective thermal management is essential in welding processes to maintain structural integrity and material quality, especially in high-precision industrial applications. This study examines the thermal behavior of an AISI 1080 steel plate containing 100 blind holes filled using robotic electric arc welding. Temperature [...] Read more.
Effective thermal management is essential in welding processes to maintain structural integrity and material quality, especially in high-precision industrial applications. This study examines the thermal behavior of an AISI 1080 steel plate containing 100 blind holes filled using robotic electric arc welding. Temperature measurements, recorded with eight strategically positioned thermocouples, monitored the thermal evolution throughout the robotic welding process. The experimental results validated a computational heat transfer model developed with ANSYS Fluent software to simulate and predict temperature distribution achieving a mean absolute percentage error (MAPE) below 4.53%. A feedforward neural network was trained with simulation-generated data to optimize welding sequences. The optimization focuses on minimizing the area under the thermal history curves, reducing temperature gradients, and mitigating overheating risks. Integrating CFD simulations and neural networks introduces a hybrid methodology combining precise numerical modeling with advanced predictive capabilities. The hybrid CFD-FNN results reached a determination coefficient (R2) of 0.93 and an MAPE of 3.5% highlighting the potential of this approach to predict the thermal behavior in multipoint welding processes. This model generated optimized welding trajectories improving the uniformity of the temperature field, reducing thermal gradients and minimizing temperature peaks, thus aiding in preventing overheating. This framework represents a significant advancement in welding technologies, demonstrating the effective application of deep learning techniques in optimizing complex industrial processes. Full article
(This article belongs to the Special Issue Fusion Welding, 2nd Edition)
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