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3D Micro/Nano Printing Technologies and Advanced Materials
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3D Micro/Nano Printing Technologies and Advanced Materials

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: 31 August 2026 | Viewed by 2642

Special Issue Editor

Dr. Chenglin Yi

E-Mail Website
Guest Editor
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Interests: 3d printing; printed flexible hybrid electronics

Special Issue Information

Dear Colleagues,

The pursuit of miniaturization, functional complexity, and multi-material integration in modern electronics, photonics, and biomedical devices has positioned 3D micro/nano printing as a pivotal frontier in advanced manufacturing. However, realizing its full potential demands synergistic innovations in both process methodologies (e.g., multi-photon polymerization, printed hybrid electronics, microfluidics-assisted assembly) and functional materials (e.g., stimuli-responsive polymers, nano-composite inks, conductive inks). In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following: novel micro/nano printing technology, advanced materials, smart sensing, wearable electronics and potential applications. I look forward to receiving your contributions.

Dr. Chenglin Yi
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 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. Journal of Manufacturing and Materials Processing 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 1800 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

  • 3D printing
  • printed electronics
  • direct write
  • sensors
  • conductive inks
  • functional composites
  • interface
  • high precision

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Published Papers (2 papers)

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Research

14 pages, 4223 KB  
Article
Fabrication of Highly Sensitive Conformal Temperature Sensors on Stainless Steel via Aerosol Jet Printing
by Ziqi Wang, Jun Xu, Yingjie Niu, Yuanyuan Tan, Biqi Yang and Chenglin Yi
J. Manuf. Mater. Process. 2026, 10(1), 41; https://doi.org/10.3390/jmmp10010041 - 21 Jan 2026
Viewed by 567
Abstract
Promoting the development of aerospace vehicles toward structural–functional integration and intelligent sensing is a key strategy for achieving lightweight, high-reliability, and autonomous operation and maintenance of next-generation aircraft. However, traditional external sensors face significant limitations because of their bulky size, installation challenges, and [...] Read more.
Promoting the development of aerospace vehicles toward structural–functional integration and intelligent sensing is a key strategy for achieving lightweight, high-reliability, and autonomous operation and maintenance of next-generation aircraft. However, traditional external sensors face significant limitations because of their bulky size, installation challenges, and incompatibility with aerodynamic surfaces. These issues are particularly pronounced on complex, high-curvature substrates, where achieving conformal bonding is difficult, thus restricting their application in critical components. In this study, aerosol jet printing (AJP) was employed to directly fabricate silver nanoparticle-based temperature sensors with real-time monitoring capabilities on the surface of high-curvature stainless steel sleeves, which serve as typical engineering components. This approach enables the in situ manufacturing of high-precision conformal sensors. Through optimized structural design and thermal treatment, the sensors exhibit reliable temperature sensitivity. Microscopic characterization reveals that the printed sensors possess uniform linewidths and well-defined outlines. After gradient sintering at 250 °C, a dense and continuous conductive path is formed, ensuring strong adhesion to the substrate. Temperature-monitoring results indicate that the sensor exhibits a nearly linear resistance response (R2 > 0.999) across a broad detection range of 20–200 °C. It also demonstrates high sensitivity, characterized by a temperature coefficient of resistance (TCR) of 2.15 × 10−3/°C at 20 °C. In repeated thermal cycling tests, the sensor demonstrates excellent repeatability and stability over 100 cycles, with resistance fluctuations kept within 0.5% and negligible hysteresis observed. These findings confirm the feasibility of using AJP technology to fabricate high-performance conformal sensors on complex surfaces, offering a promising strategy for the development of intelligent structural components in next-generation aerospace engineering. Full article
(This article belongs to the Special Issue 3D Micro/Nano Printing Technologies and Advanced Materials)
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24 pages, 1658 KB  
Article
Statistical Correlation Analysis of Surface Roughness of Micromilled 316L Stainless Steel Components Fabricated by FDM–FFF Hybrid Manufacturing
by Ali Dinc, Suleiman Obeidat, Ali Mamedov, Murat Otkur and Kaushik Nag
J. Manuf. Mater. Process. 2025, 9(12), 406; https://doi.org/10.3390/jmmp9120406 - 10 Dec 2025
Viewed by 1675
Abstract
This study evaluates the surface roughness of micromilled 316L stainless steel parts fabricated via fused filament fabrication (FFF) and sintering, establishing statistical links between additive manufacturing and post-machining parameters. The surface roughness of the final part is affected by both 3D printing and [...] Read more.
This study evaluates the surface roughness of micromilled 316L stainless steel parts fabricated via fused filament fabrication (FFF) and sintering, establishing statistical links between additive manufacturing and post-machining parameters. The surface roughness of the final part is affected by both 3D printing and micromachining parameters. The presented work has direct practical relevance because micromilled 316L stainless steel components are frequently used in applications such as lab-on-a-chip (LOC) devices and micro-electro-mechanical systems (MEMS), where fatigue behavior and the rheological behavior of fluid flow play critical roles. Both fluid flow and fatigue performance of micromilled components are highly dependent on surface integrity, including surface roughness, residual stresses, and microstructure. Specimens were produced using a 3D printer, under controlled layer thicknesses, raster angles, and fabrication directions, followed by a sintering process for the 3D-printed parts. The sintered parts are then micromilled at varying cutting directions (Angle Cut). Surface roughness (Ra) was measured with a profilometer, generating 34 experimental datasets analyzed through correlation and regression modeling. Cutting direction (Angle Cut) exhibited the strongest positive correlation with Ra (r = 0.486, p = 0.004), followed by layer thickness (r = 0.326, p = 0.060), whereas raster angle and fabrication direction had minimal influence. The multiple linear regression model accounted for 33.5% of Ra variance (R2 = 0.335, p = 0.0158), highlighting that fine-layer deposition and alignment of tool paths with filament orientation significantly improve post-machined surface quality. Results confirm that additive-induced anisotropy persists after sintering, affecting chip formation and surface morphology during micromilling. The novelty of this work lies in its integrated hybrid framework, linking metal FFF process parameters, fabrication direction, and machining outcomes through a unified statistical approach. This foundation supports machine-learning-based prediction and hybrid process optimization in metal FFF systems, providing guidance for high-quality additive–subtractive manufacturing. Full article
(This article belongs to the Special Issue 3D Micro/Nano Printing Technologies and Advanced Materials)
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