Transforming Classic Machining into Smart Manufacturing

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 82

Special Issue Editors


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Guest Editor
Manufacturing and Fusion Engineering Lab, Keimyung University, Daegu, Republic of Korea
Interests: polymer manufacturing; machining; micromachining; sensors; printing; smart factory; smart and hybrid manufacturing

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Guest Editor
Laboratory for Advanced System Engineering and Research, Keimyung University, Daegu, Republic of Korea
Interests: laser machining and welding
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Special Issue Information

Dear Colleagues,

In recent years, smart manufacturing technologies have revolutionized the industry, enabling unprecedented levels of precision, efficiency, and safety; however, while large-scale industries have embraced these advancements, many small businesses, research labs, and educational institutions continue to rely on traditional, non-automated devices, such as manual milling machines, lathes, cutting tools, and printers. While essential, these tools often lack the sophistication and capabilities of modern smart manufacturing systems, limiting their potential in terms of productivity, safety, and product quality.

This Special Issue seeks to address the gap by exploring innovative methods to retrofit and automate non-automated devices. Potential topics for this Special Issue include, but are not limited to, the following:

  • Retrofitting manual devices: Techniques for automating manual milling machines, lathes, cutting tools, and printers through the addition of custom modules.
  • Integration of sensors, vision systems, and acoustic analysis: Applications of real-time monitoring, feedback, and control to improve precision and safety.
  • Low-cost automation solutions: Development of affordable and scalable technologies for small businesses and research labs.
  • Human–machine interaction: Innovations in user interfaces and control systems that enhance usability and accessibility.

Dr. Jonghyun Kim
Prof. Dr. Haewoon Choi
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. Machines 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 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

  • machining
  • automation
  • human–machine interaction
  • smart factory
  • smart and hybrid manufacturing

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Published Papers (1 paper)

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Research

16 pages, 949 KiB  
Article
Development of 3D-Printed Vibration Absorbers for Noise Control in Material Removal Processes
by Sungmyung Lee, Haewoon Choi and Jonghyun Kim
Machines 2025, 13(5), 370; https://doi.org/10.3390/machines13050370 (registering DOI) - 29 Apr 2025
Abstract
Material removal processes such as milling, drilling, and turning often generate harmful vibrations that can negatively impact both machine performance and operator safety. Addressing these vibrations at their source or reducing them to safe levels is, therefore, a critical challenge. This study proposes [...] Read more.
Material removal processes such as milling, drilling, and turning often generate harmful vibrations that can negatively impact both machine performance and operator safety. Addressing these vibrations at their source or reducing them to safe levels is, therefore, a critical challenge. This study proposes a practical solution by introducing thin-fin-type vibration-absorbing devices fabricated using 3D printing technology. These devices are designed specifically to mitigate vibration propagation during milling operations. To evaluate their effectiveness, a multi-sensor system comprising sound level meters, a vibrometer, and a vision–acoustic camera was employed to measure sound levels. The results show that the use of fabricated devices can reduce noise levels significantly, from 93 dB (comparable to power tools or a lawn mower) to 74 dB (similar to normal conversation or a busy office). This substantial reduction demonstrates the potential of the proposed devices to enhance workplace safety and acoustic comfort on the shop floor. Full article
(This article belongs to the Special Issue Transforming Classic Machining into Smart Manufacturing)
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