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Future Insight in Additive Manufacturing of Advanced Materials
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Future Insight in Additive Manufacturing of Advanced Materials

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Composites".

Deadline for manuscript submissions: closed (10 July 2023) | Viewed by 2112

Special Issue Editors

Dr. Michael Borish

E-Mail Website
Guest Editor
Oak Ridge National Laboratory, Knoxville, TN 37932, USA
Interests: additive manufacturing; path planning; slicing; sensor and user feedback; process controls
Dr. Brian T. Gibson

E-Mail Website
Guest Editor
Oak Ridge National Laboratory, Knoxville, TN 37932, USA
Interests: additive manufacturing; control; robotics; sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Tarik Dickens

E-Mail Website
Guest Editor
Department of Industrial & Manufacturing Engineering, The Florida A&M University-Florida State University College of Engineering, Tallahassee, FL 32310, USA
Interests: composites; digital manufacturing and automation; failure and lifecycle analysis

Special Issue Information

Dear Colleagues,

Additive manufacturing (AM) has proven to be a major component of the Industry 4.0 revolution. Part of the advantage of AM is its flexibility. Indeed, AM covers a wide range of processes, such as directed energy deposition, extrusion-based, powder bed fusion, and ink and binder jetting. Additionally, these myriad processes cover an equally wide range of materials such as metals, powders, polymers, and organic structures. While significant advancements have been achieved in each of these areas, new construction challenges are being identified. These challenges require continued advancement not just of the processes themselves, but of the materials used.

It is my pleasure to invite authors to submit original research articles and review articles that will contribute to the broad area of novel materials and their application to meet the next generation of AM challenges. This invitation is not limited only to materials; research and review articles on the hardware, software, controls, algorithms, etc. necessary to affect the use of said materials are also welcome.

Dr. Michael Borish
Dr. Brian T. Gibson
Dr. Tarik Dickens
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. Materials 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 2600 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
  • novel materials
  • process control
  • path planning
  • sensor feedback

Published Papers (2 papers)

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Research

12 pages, 5691 KiB  
Article
Energy-Reduced Fabrication of Light-Frame Ceramic Honeycombs by Replication of Additive Manufactured Templates
by David Köllner, Sebastian Niedermeyer, Miklos Vermes, Swantje Simon, Ken-ichi Kakimoto and Tobias Fey
Materials 2023, 16(14), 4924; https://doi.org/10.3390/ma16144924 - 10 Jul 2023
Cited by 2 | Viewed by 998
Abstract
Ceramic components require very high energy consumption due to synthesis, shaping, and thermal treatment. However, this study suggests that combining the sol–gel process, replica technology, and stereolithography has the potential to produce highly complex geometries with energy savings in each process step. We [...] Read more.
Ceramic components require very high energy consumption due to synthesis, shaping, and thermal treatment. However, this study suggests that combining the sol–gel process, replica technology, and stereolithography has the potential to produce highly complex geometries with energy savings in each process step. We fabricated light-frame honeycombs of Al2O3, Ba0.85Ca0.15Zr0.1Ti0.9O3 (BCZT), and BaTiO3 (BT) using 3D-printed templates with varying structural angles between −30° and 30° and investigated their mechanical and piezoelectric properties. The Al2O3 honeycombs showed a maximum strength of approximately 6 MPa, while the BCZT and BaTiO3 honeycombs achieved a d33 above 180 pC/N. Additionally, the BCZT powder was prepared via a sol–gel process, and the impact of the calcination temperature on phase purity was analyzed. The results suggest that there is a large energy-saving potential for the synthesis of BCZT powder. Overall, this study provides valuable insights into the fabrication of complex ceramic structures with improved energy efficiency and enhancement of performance. Full article
(This article belongs to the Special Issue Future Insight in Additive Manufacturing of Advanced Materials)
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19 pages, 11710 KiB  
Article
An Adaptive Algorithm and Additively Manufactured Punch Used to Form Aluminum Sheet Metal Parts
by Vlad Andrei Ciubotariu, Cosmin Constantin Grigoras, Valentin Zichil and Ana-Maria Rosu
Materials 2023, 16(10), 3704; https://doi.org/10.3390/ma16103704 - 12 May 2023
Viewed by 842
Abstract
Self-adaptive mechanisms are gaining momentum in industrial processes. It is understandable that as the complexity increases, the human work must be augmented. Considering this, the authors have developed one such solution for the punch-forming process, using additive manufacturing, i.e., a 3D-printed punch, to [...] Read more.
Self-adaptive mechanisms are gaining momentum in industrial processes. It is understandable that as the complexity increases, the human work must be augmented. Considering this, the authors have developed one such solution for the punch-forming process, using additive manufacturing, i.e., a 3D-printed punch, to draw into shape 6061-T6 aluminum sheets. This paper aims to highlight the topological study used to optimize the punch form shape, the methodology of the 3D printing process, and the material used. For the adaptive algorithm, a complex Python-to-C++ bridge was created. It was necessary as the script has computer vision (used for calculating stroke and speed), punch force, and hydraulic pressure measurement capabilities. The algorithm uses the input data to control its subsequent actions. Two approaches are used in this experimental paper, a pre-programmed direction and an adaptive one, for comparison purposes. The results, namely the drawing radius and flange angle, were statistically analyzed using the ANOVA methodology for significance. The results indicate significant improvements when using the adaptive algorithm. Full article
(This article belongs to the Special Issue Future Insight in Additive Manufacturing of Advanced Materials)
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