Emerging Trends and Technologies in Manufacturing Engineering

A special issue of Eng (ISSN 2673-4117).

Deadline for manuscript submissions: 31 March 2026 | Viewed by 1127

Special Issue Editors


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Guest Editor
Institute of Manufacturing Science, University of Miskolc, H-3515 Miskolc, Hungary
Interests: surface roughness investigation on machined surfaces; CAD/CAM systems; process monitoring; Industry 4.0

E-Mail Website
Guest Editor
Institute of Manufacturing Science, University of Miskolc, H-3515 Miskolc, Hungary
Interests: manufacturing technology; process planning; assembly; cutting theory; surface roughness; constructive geometric modeling; high-feed machining

Special Issue Information

Dear Colleagues,

This Special Issue, “Emerging Trends and Technologies in Manufacturing Engineering”, aims to highlight the latest scientific and technological advancements that are shaping the future of manufacturing. We invite researchers to contribute original manuscripts that address innovations in precision machining, cutting theory, and additive manufacturing, as well as developments in nontraditional machining and material forming. Contributions focusing on sustainable manufacturing and quality control are especially encouraged, reflecting the growing importance of efficiency, environmental responsibility, and product integrity. We are particularly interested in research integrating artificial intelligence into manufacturing processes, including predictive modeling, adaptive control, and data-driven process optimization. The issue also welcomes papers on process monitoring, in-line metrology, and real-time control strategies that support Industry 4.0 objectives. By bringing together diverse topics within manufacturing engineering, this Special Issue serves as a platform for academic and industrial researchers to present breakthroughs that enhance productivity, quality, reliability, and sustainability across various manufacturing fields. We look forward to receiving high-quality submissions that push the boundaries of modern manufacturing.

Dr. Csaba Felhő
Dr. István Sztankovics
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. Eng 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 1400 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

  • additive manufacturing
  • artificial intelligence in manufacturing
  • cutting theory
  • Industry 4.0
  • material forming
  • non-traditional machining
  • precision machining
  • process monitoring
  • quality control
  • sustainable manufacturing

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Published Papers (2 papers)

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Research

16 pages, 6452 KB  
Article
Investigation of Wear Behavior for Innovative Cutting Tool in Machining AISI 304 Stainless Steel
by Jinxing Wu, Wenhao Hu, Yi Zhang, Yanying Wu, Changcheng Wu and Zuode Yang
Eng 2025, 6(9), 248; https://doi.org/10.3390/eng6090248 - 22 Sep 2025
Viewed by 484
Abstract
AISI 304 stainless steel is widely used in the equipment manufacturing industry due to its excellent corrosion resistance. However, its high toughness and plasticity lead to severe tool wear during machining, significantly shortening the tool’s life. To mitigate tool wear, this study designed [...] Read more.
AISI 304 stainless steel is widely used in the equipment manufacturing industry due to its excellent corrosion resistance. However, its high toughness and plasticity lead to severe tool wear during machining, significantly shortening the tool’s life. To mitigate tool wear, this study designed and fabricated a novel micro-groove structure on the tool’s rake face, aiming to reduce friction and thermal stress. The performance of the micro-groove tool was evaluated through cutting simulations and durability tests. Results demonstrate that this micro-groove structure effectively reduces cutting forces, suppresses tool wear, and improves chip control and heat dissipation. Full article
(This article belongs to the Special Issue Emerging Trends and Technologies in Manufacturing Engineering)
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13 pages, 4980 KB  
Article
Characterization of Transparent Surfaces Through Double Fringe Projection, Implementing a Frequency Filtering Technique and Spatial Phase Demodulation
by Ubaldo Uribe-López, David Asael Gutiérrez-Hernández, Víctor Zamudio-Rodríguez, Josué del Valle-Hernández, Daniel Olivares-Vera, Raúl Santiago-Montero, Miguel Gómez-Díaz and Dulce Aurora Velázquez-Vázquez
Eng 2025, 6(9), 244; https://doi.org/10.3390/eng6090244 - 15 Sep 2025
Viewed by 393
Abstract
This study introduces a novel, low-cost, and non-invasive method for characterizing the surface profile of transparent objects using double digital fringe projection (DDFP). By projecting dual sinusoidal patterns that generate a Moiré effect and applying a frequency-domain Gaussian filter, the system isolates relevant [...] Read more.
This study introduces a novel, low-cost, and non-invasive method for characterizing the surface profile of transparent objects using double digital fringe projection (DDFP). By projecting dual sinusoidal patterns that generate a Moiré effect and applying a frequency-domain Gaussian filter, the system isolates relevant data for accurate phase recovery through the isotropic quadrature transform (IQT). Experimental validation with plastic and acrylic samples confirms the method’s high spatial resolution and robustness against ambient noise. Unlike traditional systems, this technique avoids coherent light sources and complex hardware, improving its accessibility for academic and industrial use in transparent surface metrology. Full article
(This article belongs to the Special Issue Emerging Trends and Technologies in Manufacturing Engineering)
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