Recent Advances in Optimization of Additive Manufacturing Processes

Special Issue Editors


E-Mail Website
Guest Editor
Smart Manufacturing Lab, Department of Materials Science, Metallurgical Engineering and Inorganic Chemistry, Universidad de Cádiz, 11202 Algeciras, Spain
Interests: additive manufacturing; wire arc additive manufacturing (WAAM); advanced electron microscopy techniques for engineering materials characterization; materials processing and circular economy

E-Mail Website
Guest Editor
Mechanical Engineering and Industrial Design, School of Engineering, University of Cadiz, 11519 Puerto Real, Cádiz, Spain
Interests: advanced manufacturing processes; manufacturing technologies; materials technology; additive manufacturing; advanced laser welding processes; texturing; renewable energies
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Welding Technology Lab-LTS, Joinville Technology Center (CTJ), Federal University of Santa Catarina, Joinville 89219-600, Brazil
Interests: welding technologies; welding arc additive manufacturing; process instrumentation and automation; welding physics

Special Issue Information

Dear Colleagues,

Pursuing maximum efficiency, precision, and tolerance control remains a central focus in developing manufacturing processes. The significant advancements achieved in recent years within additive manufacturing, along with the continuous evolution of technology that has expanded its capabilities and applications, have positioned AM as a transformative force in modern manufacturing, capable of meeting the demands of various industries while offering unprecedented design flexibility and efficiency.

A significant number of additive manufacturing (AM) optimization cases have benefited from the integration of advanced computing and equipment sensing strategies. This integration facilitates a more responsive design process, allowing for real-time adjustments based on feedback from the manufacturing environment. Data-driven approaches enable optimization methods that utilize historical operational data to inform decision-making in the manufacturing process.

This Special Issue aims to explore all aspects of optimization in AM to assist manufacturers in producing efficient parts that excel in their intended applications.

Dr. David Sales
Dr. Severo Raul Fernandez-Vidal
Dr. Tiago Vieira Da Cunha
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. Journal of Manufacturing and Materials Processing 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 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

  • performance optimization
  • additive manufacturing constraints
  • smart sensing technologies
  • simulation and modeling
  • generative design
  • topology and shape optimization
  • closed-loop control systems
  • support structure optimization

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 29170 KiB  
Article
Influence of Printing Parameters on the Morphological Characteristics of Plasma Directed Energy-Deposited Stainless Steel
by Luis Segovia-Guerrero, Antonio José Gil-Mena, Nuria Baladés, David L. Sales, Carlota Fonollá, María de la Mata and María de Nicolás-Morillas
J. Manuf. Mater. Process. 2024, 8(5), 233; https://doi.org/10.3390/jmmp8050233 - 15 Oct 2024
Viewed by 1306
Abstract
This study investigated the influence of printing parameters and strategies on the morphological characteristics of austenitic stainless steel beads deposited on carbon steel substrates, using plasma directed energy deposition (DED). The experimental setup varied the welding current, wire feed speed, and torch travel [...] Read more.
This study investigated the influence of printing parameters and strategies on the morphological characteristics of austenitic stainless steel beads deposited on carbon steel substrates, using plasma directed energy deposition (DED). The experimental setup varied the welding current, wire feed speed, and torch travel speed, and we analyzed three printing strategies: simple-linear, overlapping, and oscillating. Moreover, advanced 3D scanning and computational analysis were used to assess the key morphological features, including bead width and height. The results showed that the computational model developed by using parabolic assumptions accurately predicted the geometric outcomes of the overlapping beads. The oscillating printing strategy was the one that showed improved morphological uniformity and bead substrate wettability, so these features were used for multi-layer component manufacturing. The use of equivalent wavelength–amplitude values resulted in maximum combinations of bead height and width. Moreover, cost-effective carbon steel substrates were feasibly used in microstructural and elemental analyses, with the latter ones confirming the alignment of the bead composition with the wire-fed material. Overall, this study provides practical insights for optimizing plasma DED processes, thus enhancing the efficiency and quality of metal component manufacturing. Full article
(This article belongs to the Special Issue Recent Advances in Optimization of Additive Manufacturing Processes)
Show Figures

Figure 1

Back to TopTop