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Advances in Intelligent Monitoring of Engineering 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: closed (20 December 2024) | Viewed by 1240

Special Issue Editor


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Guest Editor
Department of Mechanics, Material Science and Engineering, Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Smoluchowskiego 25, 50-370 Wrocław, Poland
Interests: fracture mechanics; fatigue; structural integrity; materials; modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Traditional methods of inspecting engineering materials allow us to determine the degraded state of a structure periodically. New inspection methods, on the other hand, employ artificial intelligence, utilizing a variety of measurement techniques, computational analyses, and data from sensors to identify defects and provide rapid damage assessment.

This Special Issue will bring together the latest developments in the field of engineering material testing methods. The published articles will cover a variety of topics, including, but not limited to, the optimization of inspection methods, the characterization of engineered materials using nondestructive testing and intelligent inspection methods, and the functionalization of intelligent inspection methods. The purpose of this Special Issue is to collect the latest advances and trends in the field of intelligent inspection related to engineering materials and structures.

Dr. Grzegorz Lesiuk
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. 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

  • metals
  • experimental mechanics
  • fatigue
  • structural health monitoring
  • intelligent materials
  • manufacturing
  • fracture

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Published Papers (1 paper)

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Research

17 pages, 4730 KiB  
Article
Residual Stress Characteristics in Spot Weld Joints of High-Strength Steel: Influence of Welding Parameters
by Wonjun Jo, Insu Woo, Yoshiki Mikami and Gyubaek An
Appl. Sci. 2024, 14(24), 11971; https://doi.org/10.3390/app142411971 - 20 Dec 2024
Cited by 1 | Viewed by 943
Abstract
This study examines the residual stress characteristics of spot welding in newly developed high-strength steel for automotive body construction through experimental and numerical methods. The effects of sheet thickness, nugget size, and the presence or absence of spacers on residual stress distribution and [...] Read more.
This study examines the residual stress characteristics of spot welding in newly developed high-strength steel for automotive body construction through experimental and numerical methods. The effects of sheet thickness, nugget size, and the presence or absence of spacers on residual stress distribution and fracture stability were evaluated. Measurements using XRD and HDR revealed tensile residual stress below the yield strength at the nugget center. A numerical analysis system corroborated experimental findings, demonstrating that larger nugget sizes reduce tensile residual stress at the nugget center, enhancing fracture stability. However, for nugget sizes of 3t (t: thickness), high tensile stress at the nugget edge compromised stability, while sizes of 3.5t or larger improved fracture resistance. The study also found that thicker sheets increased fracture safety with larger nugget sizes, and the presence of spacers induced tensile stress through spring-back effects, which shifted to compressive stress as the nugget size increased. These results provide critical insights into optimizing welding parameters to improve the structural integrity of automotive components. Full article
(This article belongs to the Special Issue Advances in Intelligent Monitoring of Engineering Materials)
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