New Advance in Stretchable Electronics and Additive Manufacturing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Materials, Devices and Applications".

Deadline for manuscript submissions: 15 December 2025 | Viewed by 1564

Special Issue Editors


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Guest Editor
Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Interests: measurement techniques; additive manufacturing; laser sintering of metal powders

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Guest Editor
Branch Mechanical Engineering Departament, Vinnytsia National Technical University, 21021 Vinnytsia, Ukraine
Interests: additive manufacturing; nanomaterials

Special Issue Information

Dear Colleagues,

Recent advances in stretchable electronics and additive manufacturing have unlocked new opportunities for creating innovative devices with a wide range of applications, from healthcare to consumer electronics. This Special Issue of Electronics invites submissions of research articles, reviews, and communications that highlight cutting-edge developments in materials, technologies, and designs for stretchable electronics, as well as advancements in additive manufacturing methods enabling the integration of complex electronic systems into novel form factors.

The aim of this Special Issue is to bring together cutting-edge research in the fields of stretchable electronics and additive manufacturing to foster innovation and accelerate the development of these promising areas. Moreover, it seeks to provide a platform for interdisciplinary knowledge exchange among researchers, engineers, and practitioners working on advanced materials, manufacturing techniques, and applications in flexible systems.

Particular emphasis is placed on studies demonstrating the use of modern technologies, such as machine learning and artificial intelligence, to enhance additive manufacturing processes, develop innovative materials, and improve the functional performance of devices. This includes applications in wearable devices, biomedical solutions, medical diagnostic systems, and other fields requiring the integration of high-tech solutions.

The Special Issue aims to promote international collaboration, facilitate the exchange of ideas, and create new opportunities for the advancement of technologies shaping the future of stretchable electronics and additive manufacturing.

Topics of interest include, but are not limited to, the following:

  • Advanced materials for stretchable electronic systems;
  • Additive manufacturing technologies, including 3D printing of electronic components, multilayer structures, and functional material integration;
  • Machine learning applications for optimizing additive manufacturing processes, predicting material properties, and quality control;
  • Integration of stretchable sensors, devices, and biomedical solutions;
  • Algorithm development for designing and modeling stretchable systems;
  • Wearable devices and monitoring systems;
  • Applications of artificial intelligence in developing new materials for stretchable electronics and additive manufacturing.

We invite authors to share their innovative research and contribute to the advancement of these dynamic fields.

Prof. Dr. Oleksandr Vasilevskyi
Prof. Dr. Leonid Polishchuk
Guest Editors

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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. Electronics 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

  • additive manufacturing
  • flexible materials
  • stretchable electronics
  • advanced materials
  • biomedical applications
  • machine learning in manufacturing
  • in situ metrology
  • 3D printing
  • smart manufacturing
  • sensor integration
  • AI-driven additive manufacturing
  • advanced manufacturing techniques

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Published Papers (1 paper)

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Research

19 pages, 2394 KiB  
Article
Quantitative Methodology for Assessing the Quality of Direct Laser Processing of 316L Steel Powder Using Type I and Type II Control Errors
by Oleksandr Vasilevskyi, Alexandra Woods, Matthew Jones and Michael Cullinan
Electronics 2025, 14(7), 1476; https://doi.org/10.3390/electronics14071476 - 7 Apr 2025
Viewed by 800
Abstract
The paper proposes a methodology for assessing the quality of the direct laser melting process of 316L steel powder, which was tested when creating products in a construction furnace of the EOSINT M280 system at different laser powers. The methodology for evaluating the [...] Read more.
The paper proposes a methodology for assessing the quality of the direct laser melting process of 316L steel powder, which was tested when creating products in a construction furnace of the EOSINT M280 system at different laser powers. The methodology for evaluating the quality of the laser melting process is based on measuring the melting temperature of 316L steel powder using an infrared camera, assessing the expanded uncertainty of temperature measurements, and calculating the probabilities of the temperature falling within the established confidence limits based on type I and type II control errors (risks). The experimental investigations revealed that the melting temperature of 316L steel powder was achieved at a laser power of 195 W, with an average value of 1446 °C. It was also found that the maximum expanded measurement uncertainty for the temperature was 7%. In this case, an identification of quality indicators of the laser melting process is proposed, which has three levels: good quality (A), satisfactory quality (B), and unsatisfactory/unacceptable quality (C). The studies showed that the probability of achieving a good/high-quality (A) resulted in the laser melting process of 316L steel powder at a laser power of 195 W was 91%, while the probability of achieving satisfactory quality (B) was 0.03%. These findings contribute to enhancing in situ process monitoring in additive manufacturing, enabling the detection of deviations and adjustments to ensure consistently good quality. The proposed methodology provides a robust framework applicable across different LP-BF/M systems, improving process reliability and reproducibility in industrial and scientific applications. Full article
(This article belongs to the Special Issue New Advance in Stretchable Electronics and Additive Manufacturing)
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