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Technologies
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Advanced Manufacturing Technologies: From Material Jetting to 3D Printing
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Advanced Manufacturing Technologies: From Material Jetting to 3D Printing

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Innovations in Materials Science and Materials Processing".

Deadline for manuscript submissions: 28 August 2026 | Viewed by 6820

Special Issue Editors

Dr. Roberto Bernasconi

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Guest Editor
Dipartimento di Chimica, Materiali e Ingegneria Chimica Giulio Natta, Politecnico di Milano, Via Mancinelli 7, 20131 Milano, Italy
Interests: microfabrication; electrochemistry; surface treatments; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Prisca Viviani

E-Mail Website
Guest Editor
Dipartimento di Chimica, Materiali e Ingegneria Chimica Giulio Natta, Politecnico di Milano, Via Mancinelli 7, 20131 Milano, Italy
Interests: surface treatments; inkjet printing; batteries; additive manufacturing

Special Issue Information

Dear Colleagues,

Additive manufacturing, also known as 3D printing, is one of the most groundbreaking technologies developed in the last few decades. Its main concept is the creation of complex objects in a layer-by-layer fashion following a digital model. Unlike traditional subtractive methods, which typically remove material from a solid block, additive manufacturing adds material only where needed, reducing waste significantly. This technology allows for the production of complex geometries that would be difficult or impossible to achieve using conventional methods. Thanks to its flexibility, customization and on-demand production capabilities, it constitutes one of the main pillars of Industry 5.0.

In addition to 3D printing, many other technologies have the potential to significantly contribute to the advancement of manufacturing processes. These include, for example, material jetting techniques like inkjet printing or aerosol printing, based on the controlled deposition of materials in the form of fluids. Thanks to their precision, scalability and optimal material usage, material jetting represents one of the most promising approaches for sustainable production in a wide variety of industrial fields, such as microelectronics, sensors, optics, bioengineering, etc. Furthermore, material jetting techniques represent the ideal candidate for potential synergies with 3D printing processes, giving rise to highly efficient and versatile hybrid approaches.

Starting from these considerations, this Special Issue serves as a comprehensive platform for presenting and discussing cutting-edge advances in this promising topic. It is open to both original research articles able to advance knowledge on a wide variety of advanced manufacturing technologies and to reviews meant to take stock of state-of-the-art literature.

A list of the possible topics, though not exhaustive, includes the following:

  • Three-dimensional printing/material jetting of soft and biomaterials;
  • Additive manufacturing/material jetting for electronics and metamaterials;
  • New materials for 3D printing (metals, composites, hard materials, ceramics, etc.);
  • Additive manufacturing/material jetting for batteries and energy storage;
  • Printing process monitoring and in situ characterization;
  • Multi-material 3D printing;
  • Integration of material jetting processes and 3D printing technologies;
  • Metallization for 3D printing;
  • Three-dimensional printing for microfabrication;
  • Numerical and finite element modelling of additive manufacturing processes.

Dr. Roberto Bernasconi
Dr. Prisca Viviani
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. Technologies 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
  • additive manufacturing
  • Industry 4.0
  • process development
  • process integration
  • numerical modelling

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Published Papers (4 papers)

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Research

24 pages, 6219 KB  
Article
Effects of Cross-Sectional Geometry and Fabrication Methods on the Performance of Passive Solid–Liquid Separators
by Marijan-Pere Marković, Elizabeta Forjan, Krunoslav Žižek and Domagoj Vrsaljko
Technologies 2026, 14(3), 153; https://doi.org/10.3390/technologies14030153 - 3 Mar 2026
Viewed by 709
Abstract
This study explores the passive separation of solid particles from liquid suspensions in spiral separators fabricated using fused filament fabrication (FFF) and stereolithography (SLA). Building on prior work, we investigate the effect of microchannel geometry, circular vs. square cross-sections of equal area, and [...] Read more.
This study explores the passive separation of solid particles from liquid suspensions in spiral separators fabricated using fused filament fabrication (FFF) and stereolithography (SLA). Building on prior work, we investigate the effect of microchannel geometry, circular vs. square cross-sections of equal area, and printing method on separation performance. Devices were tested across a wider range of flow rates (150 mL min−1–350 mL min−1), extending into transitional regimes, to examine geometry-induced inertial effects. Separation performance was quantified using the normalized outlet mass difference (Δ) for talc, precipitated calcium carbonate, and quartz. Maximum separation was obtained for quartz sand in the SLA separator at 250 mL min−1 (Δ = 0.2175 g per 100 mL), while talc showed the highest mass difference in the square FFF separator at 300 mL min−1 (Δ = 0.1196 g per 100 mL). For calcium carbonate, the highest separation occurred in the SLA device at 250 mL min−1 (Δ = 0.1721 g per 100 mL), though performance was limited by agglomeration and clogging in FFF devices. Overall, separation was predominantly mass-based rather than strictly size-selective, with channel geometry, flow regime, and fabrication method jointly governing performance. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technologies: From Material Jetting to 3D Printing)
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27 pages, 1405 KB  
Article
Implementation of Integrated Control Systems Projects in Companies Focused on Industry 4.0: Opportunities and Challenges in Brazil
by Auro de Jesus Cardoso Correia, Leandro Simplício Silva, Josiane Lima de Araújo, Jose Celso Contador, José Luiz Contador, Guilherme Henrique de Magalhães, Rogerio Glaser Prado, Walter Cardoso Satyro and Mauro de Mesquita Spinola
Technologies 2026, 14(2), 78; https://doi.org/10.3390/technologies14020078 - 23 Jan 2026
Viewed by 854
Abstract
Integrated control systems (Supervisory Control and Data Acquisition–SCADA and Manufacturing Execution Systems—MES) constitute the backbone of Industry 4.0; however, research on their implementation remains scarce. This study analyzes the opportunities and challenges of modernizing these systems within the context of the Brazilian industry. [...] Read more.
Integrated control systems (Supervisory Control and Data Acquisition–SCADA and Manufacturing Execution Systems—MES) constitute the backbone of Industry 4.0; however, research on their implementation remains scarce. This study analyzes the opportunities and challenges of modernizing these systems within the context of the Brazilian industry. A survey of 101 experts was conducted, with results analyzed via Friedman and Holm–Sidak nonparametric tests to establish a clear hierarchy of factors. Findings reveal that while economic efficiency, productivity gains, and real-time remote access represent the most significant opportunities, they are countered by critical structural challenges: obsolete machinery and inadequate infrastructure. These challenges significantly inflate implementation costs and highlight the reality of technological obsolescence that is typical of emerging economies. By applying the Resource-Based View (RBV), this research frames digital integration as a strategic competitive capability rather than a mere technical upgrade. Practically, the study provides a roadmap for industrial leaders to balance digital agility expectations with pragmatic operational constraints. These insights offer a foundation for successful digital transformation, delivering actionable value for academics, industrial managers, and policymakers. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technologies: From Material Jetting to 3D Printing)
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27 pages, 5926 KB  
Article
Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing
by Waqar Shehbaz and Qingjin Peng
Technologies 2025, 13(6), 228; https://doi.org/10.3390/technologies13060228 - 3 Jun 2025
Cited by 5 | Viewed by 2179
Abstract
Additive manufacturing (AM) presents significant opportunities for advancing sustainability through optimized process control and material utilization. This research investigates the application of machine learning (ML) models to directly associate AM process parameters with sustainability metrics, which is often a challenge by experimental methods [...] Read more.
Additive manufacturing (AM) presents significant opportunities for advancing sustainability through optimized process control and material utilization. This research investigates the application of machine learning (ML) models to directly associate AM process parameters with sustainability metrics, which is often a challenge by experimental methods alone. Initially, experimental data are generated by systematically varying key AM parameters, layer height, infill density, infill pattern, build orientation, and number of shells. Subsequently, four ML models, Linear Regression, Decision Trees, Random Forest, and Gradient Boosting, are trained and evaluated. Hyperparameter tuning is conducted using the Limited-memory Broyden–Fletcher–Goldfarb–Shanno with Box constraints (L-BFGS-B) algorithm, which demonstrates the superior computational efficiency compared to traditional approaches such as grid and random search. Among the models, Random Forest yields the highest predictive accuracy and lowest mean squared error across all target sustainability indicators: energy consumption, part weight, scrap weight, and production time. The results confirm the efficacy of ML in predicting sustainability outcomes when supported by robust experimental data. This research offers a scalable and computationally efficient approach to enhancing sustainability in AM processes and contributes to data-driven decision-making in sustainable manufacturing. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technologies: From Material Jetting to 3D Printing)
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Graphical abstract

15 pages, 3259 KB  
Article
Inkjet-Printed Flexible Piezoelectric Sensor for Large Deformation Applications
by Giulia Mecca, Roberto Bernasconi, Valentina Zega, Raffaella Suriano, Marco Menegazzo, Gianlorenzo Bussetti, Alberto Corigliano and Luca Magagnin
Technologies 2025, 13(5), 206; https://doi.org/10.3390/technologies13050206 - 17 May 2025
Cited by 2 | Viewed by 2348
Abstract
Next-generation flexible, soft, and stretchable sensors and electronic devices are conquering the technological scene due to their extremely innovative applications. Especially when produced via innovative technologies like additive manufacturing (AM) and/or inkjet printing (IJP), they represent an undeniable strategic asset for Industry 5.0. [...] Read more.
Next-generation flexible, soft, and stretchable sensors and electronic devices are conquering the technological scene due to their extremely innovative applications. Especially when produced via innovative technologies like additive manufacturing (AM) and/or inkjet printing (IJP), they represent an undeniable strategic asset for Industry 5.0. Within the growing sensor market, they offer advantages in terms of sensitivity and maximum sensing range. In addition, the use of AM/IJP reduces material waste, enhances scalability, and lowers cost production. In the present work, the design and fabrication of a highly flexible inkjet-printed piezoelectric sensor on top of a thin highly flexible polyimide substrate are presented. The silver top and bottom electrodes were inkjet-printed together with a P(VDF-TrFE) active layer with a nominal thickness of 3 μm which is located between them. The experimental results demonstrate that, even in extreme bending conditions and at different bending speeds, the fabricated sensors are able to maintain their performance without mechanical delamination, giving a stable and repeatable output peak-to-peak signal of 850 mV under cyclic bending. The material combination and the IJP-based fabrication technique employed for the first time in this work to produce highly flexible sensors represent a promising novelty in terms of both sensor performance and customization possibilities. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technologies: From Material Jetting to 3D Printing)
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