Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Recent Advances in 3D Printing and Additive Manufacturing Technology
share announcement

Recent Advances in 3D Printing and Additive Manufacturing Technology

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Additive Manufacturing Technologies".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 1602

Special Issue Editor

Dr. Thang Quyet Tran

E-Mail Website
Guest Editor
Additive Manufacturing Group, Manufacturing Process Division, Singapore Institute of Manufacturing Technology, Singapore, Singapore
Interests: 3D printing technology; composites; carbon nanomaterials; material extrusion additive manufacturing; composite fibers; aerogels
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Additive manufacturing (AM) technologies, also known as 3D printing, have been growing rapidly in recent years. These advanced technologies offer new capabilities to process materials with unique structures and properties that can hardly be achieved by conventional manufacturing techniques. Due to their layer-by-layer approaches, complex 3D parts made of metals, polymers, ceramics, and composites can be additively manufactured for a wide range of applications, including aerospace, automobiles, medical applications, machinery, electronics, food, textile, construction, and architecture.

This Special Issue focuses on state-of-the-art additive manufacturing methods, novel materials, together with advanced pre- and post-processing techniques. Potential topics include, but are not limited to, the following:

  • Recent development of new materials;
  • Novel approaches to improve established additive manufacturing methods;
  • Four-dimensional printing and multi-material printing;
  • Pre- and post-processing of additively manufactured parts;
  • Process monitoring and quality control methods for additive manufacturing;
  • Characterization methods for additively manufactured parts;
  • Novel and emerging applications for additive manufacturing.

It is our pleasure to invite you to submit full length research papers, review papers, perspectives as well as communications and letters for this Special Issue on, titled “Recent Advances in 3D Printing and Additive Manufacturing Technology”.

Dr. Thang Quyet Tran
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 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. Applied Sciences 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
  • hybrid additive manufacturing
  • 3D printing
  • 4D printing
  • multi-material printing
  • post-processing methods
  • non-destructive characterization
  • in-process monitoring
  • advanced materials

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 2029 KiB  
Article
Assessment of the Development Performance of Additive Manufacturing VPP Parts Using Digital Light Processing (DLP) and Liquid Crystal Display (LCD) Technologies
by Moises Batista, Jairo Mora-Jimenez, Jorge Salguero and Juan Manuel Vazquez-Martinez
Appl. Sci. 2024, 14(9), 3607; https://doi.org/10.3390/app14093607 - 24 Apr 2024
Viewed by 146
Abstract
Non-metallic additive manufacturing technology has seen a substantial improvement in the precision of the parts it produces. Its capability to achieve complex geometries and very small dimensions makes it suitable for integration into strategic industrial sectors, such as aeronautics and medicine. Among additive [...] Read more.
Non-metallic additive manufacturing technology has seen a substantial improvement in the precision of the parts it produces. Its capability to achieve complex geometries and very small dimensions makes it suitable for integration into strategic industrial sectors, such as aeronautics and medicine. Among additive manufacturing technologies, resin development processes demonstrate enhanced precision when compared to other methods, like filament printing. This study conducts a comparative analysis between digital light processing (DLP) and liquid crystal display (LCD) photopolymerization processes to assess the performance of the technologies and how process parameters affect the accuracy of the resulting parts. The research evaluates the impact of the discretization process used during the digital model export, determining the optimal mesh size and then analyzing the geometric deviations that occur by altering various operating parameters of the process. Statistical methods will be employed to identify the most significant parameters in the manufacturing process. Among other aspects, the precision of manufacturing technologies regarding the movement axis has also been evaluated. Regarding the minimum size of the features that can be fabricated, DLP technology has surpassed LCD technology, successfully producing features as small as 200 µm, compared to 500 µm for LCD technology. Full article
(This article belongs to the Special Issue Recent Advances in 3D Printing and Additive Manufacturing Technology)
16 pages, 2750 KiB  
Article
Raster Angle Prediction of Additive Manufacturing Process Using Machine Learning Algorithm
by Osman Ulkir, Mehmet Said Bayraklılar and Melih Kuncan
Appl. Sci. 2024, 14(5), 2046; https://doi.org/10.3390/app14052046 - 29 Feb 2024
Viewed by 451
Abstract
As additive manufacturing (AM) processes become integrated with artificial intelligence systems, the time and cost of the fabrication process decrease. In this study, the raster angle, an important parameter in the manufacturing process, was examined using fused deposition modeling (FDM), an AM method. [...] Read more.
As additive manufacturing (AM) processes become integrated with artificial intelligence systems, the time and cost of the fabrication process decrease. In this study, the raster angle, an important parameter in the manufacturing process, was examined using fused deposition modeling (FDM), an AM method. The optimal value of this parameter varies depending on the designed product geometry. By changing the raster angle, the distribution of stresses and strains within the printed object can be modified, potentially influencing the mechanical behavior of the object. Thus, the correct estimation of the raster angle is essential for obtaining parts with high mechanical properties. The focus of this study is to reduce the fabrication time and cost of products by intertwining machine learning (ML) systems with mechanical systems. Its novelty is that ML has never been applied for FDM raster angle estimation. The estimation and modeling of the raster angle were performed using five different ML algorithms. These algorithms include a support vector machine (SVM), Gaussian process regression (GPR), an artificial neural network (ANN), decision tree regression (DTR), and random forest regression (RFR). Data for training were generated using various shapes and geometries, then trained in the MATLAB software, and a prediction model between the input parameters and the raster angle was created. The predicted model was evaluated using five performance criteria. The RFR model predicts the raster angle in the FDM test data with R-squared (R2) = 0.92, an explained variance score (EVS) = 0.92, a mean absolute error (MAE) = 0.012, a root mean square error (RMSE) = 0.056, and a mean squared error (MSE) = 0.0032. These values are R2 = 0.93, EVS = 0.93, MAE = 0.010, RMSE = 0.051, and MSE0.0025 for the training data. RFR is significantly superior to the other prediction algorithms. The proposed model predicts the optimum raster angle for any geometry. Full article
(This article belongs to the Special Issue Recent Advances in 3D Printing and Additive Manufacturing Technology)
►▼ Show Figures

Figure 1

15 pages, 993 KiB  
Article
Design of Viscosity and Nozzle Path Using Food 3D Printer and Pneumatic Pressure Syringe-Type Dispensing System
by Changuk Ji, Areum Cha and Dongbin Shin
Appl. Sci. 2023, 13(22), 12234; https://doi.org/10.3390/app132212234 - 11 Nov 2023
Viewed by 746
Abstract
Recent advancements in 3D printing technology have integrated with Fourth Industrial Revolution technologies such as robotics and artificial intelligence, aiming to overcome the limitations of conventional manufacturing methods. In the field of functional foods, solvent casting, a common manufacturing technique, has been adopted [...] Read more.
Recent advancements in 3D printing technology have integrated with Fourth Industrial Revolution technologies such as robotics and artificial intelligence, aiming to overcome the limitations of conventional manufacturing methods. In the field of functional foods, solvent casting, a common manufacturing technique, has been adopted to produce film-like structures with desired sizes and uniform thickness. However, the typical method of coating or injection on a conventional continuous film is difficult to produce in small amounts. To address this limitation, in the study, we developed a pneumatic pressure syringe-type dispensing system integrated with a food 3D printer utilizing fused deposition modeling (FDM) technology. A syringe type is needed to discharge crude liquid manufactured in the food field in a hygienic environment, and a 3D printing method that is easy to manufacture in small quantities or on demand was utilized. Through simulation and experiment, we wanted to confirm whether stable ejection results are generated according to the selected nozzle-based viscosity, inflow conditions, and the nozzle movement path of the food 3D printer. Based on the nozzle selected through simulation, it was confirmed that the fluid and flow velocity distribution of the viscous material were uniformly distributed and discharged under the conditions of 30,000 cps and inflow rate. By setting the parameters of the food 3D printer and preparing a coenzyme Q10 (CoQ10) sample, we achieved a stable oral dissolving film (ODF) extrusion shape through the design of viscosity and 3D printer nozzle path. The optimal viscosity range for the ODF solution was found to be 25,000 to 35,000 cps, exhibiting precise dimensions and shapes without distortion and yielding the most stable extrusion results. We defined four different nozzle path designs based on minimizing the movement of the 3D printer nozzle. Among them, a 16-step path design demonstrated a stable extrusion method, showing no tailing phenomenon under the conditions of 0.2 MPa pressure and −15.4 KPa vacuum pressure. In future research, we plan to conduct additional research to determine whether the discharge results vary depending on conditions such as viscosity of the crude liquid, nozzle path combination, and ODF thickness. Full article
(This article belongs to the Special Issue Recent Advances in 3D Printing and Additive Manufacturing Technology)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop