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Metals
Special Issues
Novel Insights and Advances in Steels and Cast Irons (2nd...
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Novel Insights and Advances in Steels and Cast Irons (2nd Edition)

A special issue of Metals (ISSN 2075-4701).

Deadline for manuscript submissions: 31 May 2026 | Viewed by 749

Special Issue Editors

Dr. Annalisa Fortini

E-Mail Website
Guest Editor
Department of Engineering, University of Ferrara, Via Saragat 1/E, 44122 Ferrara, Italy
Interests: metallurgical characterization of steels and cast irons; mechanical properties; surface engineering; shape memory alloys
Special Issues, Collections and Topics in MDPI journals
Dr. Chiara Soffritti

E-Mail Website
Guest Editor
Department of Engineering, University of Ferrara, Ferrara, Italy
Interests: archaeometallurgy; heritage science; metal alloys; chemical composition; microstructure; heat treatment; corrosion products; restoration solutions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is our pleasure to announce this Special Issue of Metals, entitled “Novel Insights and Advances in Steels and Cast Irons”. The success of our previous Special Issue on cast irons highlights the significance and interest surrounding this subject. Building on this foundation, we invite you to submit papers to this Special Issue to provide a more comprehensive and critical understanding of cast irons and ferrous alloys.

We aim to collect full papers, communications, and review articles concerning the latest advancements and emerging trends in steels and cast irons, with a special focus on technological innovation related to these alloys.

Submissions (including case studies, experimental and/or analytical approaches) dealing with recent developments in improving the microstructural, mechanical, tribological, and corrosive resistance in different industrial fields are encouraged. High-quality papers from researchers in the scientific community and industry are also welcome.

Dr. Annalisa Fortini
Dr. Chiara Soffritti
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 250 words) can be sent to the Editorial Office for assessment.

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

  • cast irons
  • steels
  • microstructure
  • heat treatment
  • mechanical properties
  • tribological behavior
  • corrosion resistance
  • coatings
  • casting
  • process parameters
  • modeling
  • welding

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

Published Papers (1 paper)

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Review

23 pages, 2667 KB  
Review
Physics-Informed Decision Framework for Reuse of Reclaimed Steel Members Under Uncertainty
by Sina Sarfarazi, Marcello Fulgione and Francesco Fabbrocino
Metals 2026, 16(2), 171; https://doi.org/10.3390/met16020171 - 1 Feb 2026
Cited by 2 | Viewed by 475
Abstract
Structural steel reuse can gain large embodied-carbon savings, yet it is still not widely adopted since approval depends on the quality of the evidence, how uncertainty is handled, and if the design requirements are followed, not just on resistance. Reclaimed members frequently lack [...] Read more.
Structural steel reuse can gain large embodied-carbon savings, yet it is still not widely adopted since approval depends on the quality of the evidence, how uncertainty is handled, and if the design requirements are followed, not just on resistance. Reclaimed members frequently lack dependable documentation regarding material grade, loading history, boundary conditions, connection status, and degradation. For reuse decisions, conservative default assumptions protect safety but frequently eliminate qualified reuse options. This research examines data-driven and physics-informed computational methods from a decision-making standpoint, contending that their significance resides in facilitating an auditable approval process, not in supplanting deterministic verification. We differentiate feasibility, acceptability, and approval as distinct engineering phases. Data-driven models are thought of as tools for quickly screening candidates, surrogate evaluation, inverse reasoning, and stock-to-demand matching. Their goal is to reduce the list of candidates and prioritize evidence collection. Physics-informed approaches are examined as admissibility filters that impose restrictions of equilibrium, compatibility, stability, and plausible boundary-condition envelopes; therefore, minimizing mechanically invalid predictions under partial information. Next, we consider uncertainty quantification and explainability to be essential for reuse decisions. We suggest practical outputs for approval packages, such as resistance bounds within specified assumption envelopes, sensitivity rankings of decision-critical unknowns, low-support flags, and evidence actions for conditional acceptance. This document is organized into a process from audit to approval. It also states the open issues in reuse-specific datasets, standardized evidence capturing, decision-relevant validation under degradation, and regulatory acceptance. The resulting framework clarifies how advanced computational tools can enable adaptable, conservative, and transparent steel reuse in practice. Full article
(This article belongs to the Special Issue Novel Insights and Advances in Steels and Cast Irons (2nd Edition))
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