Design Process for Additive Manufacturing

A special issue of Designs (ISSN 2411-9660). This special issue belongs to the section "Smart Manufacturing System Design".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 4293

Special Issue Editor


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Guest Editor
Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland
Interests: additive manufacturing; polymer material; quality control; medical models; computer measurement systems
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Special Issue Information

Dear Colleagues,

Additive manufacturing (AM) processes are rapidly growing technologies that can produce highly complex models. Depending on the manufacturing method, the size of the part, and its complexity, it can take several hours or even days to create finished models using additive techniques. There is currently a wide variety of additive manufacturing methods available. AM models are widely utilized in the automotive, aerospace, and medical industries. Since functional models are often produced using additive technologies, they must meet the requirements related to, for example, strength assessments, dimensional-geometric tolerancing, and surface roughness.

A person designing a 3D-CAD model for 3D printing must prepare it so that its geometric parameters meet the most favorable operating conditions related to tightness, accuracy, connection between components, wear, or deformation, among other things. This task is challenging as each 3D printing technology has its technical limitations, which cause the produced model to often differ significantly from the designer's assumptions. Therefore, it is necessary to develop procedures at the design and manufacturing stages to minimize these differences.

When creating a 3D-CAD model for 3D printing, traditional modeling using Computer-Aided Design (CAD) systems is commonly used. Challenges arise when technological or material documentation is not available for a product. This is especially common when designing models of anatomical structures, museum artifacts, or other complex geometric models where solid or surface design is usually impossible. The reverse engineering (RE) process can solve this problem thanks to the advancements in coordinate measuring systems, data processing software, and modern manufacturing techniques. This design process is also frequently used for developing 3D-CAD models for 3D printing, but it can lead to geometric mapping errors during the design stage. Therefore, it is necessary to develop procedures at the geometry design stage of the RE process to minimize these errors.

Given the current state of the literature, standards related to the traditional design of 3D-CAD models and the RE process for AM still need to be developed. The lack of a development of assumptions using the AM technique in the design and manufacturing stage greatly restricts the commercialization of finished products for the automotive, aerospace, and/or medical industries. Therefore, it is necessary to pay attention to this research problem.

Dr. Paweł Turek
Guest Editor

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Keywords

  • innovative design
  • computer-aided design
  • reverse engineering
  • additive manufacturing
  • static and dynamic me-chanical properties
  • finite element method
  • coordinate measurements
  • surface roughness
  • numerical studies

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Published Papers (5 papers)

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Research

27 pages, 2896 KiB  
Article
Hybrid Multi-Criteria Decision Making for Additive or Conventional Process Selection in the Preliminary Design Phase
by Alessandro Salmi, Giuseppe Vecchi, Eleonora Atzeni and Luca Iuliano
Designs 2024, 8(6), 110; https://doi.org/10.3390/designs8060110 - 29 Oct 2024
Viewed by 426
Abstract
Additive manufacturing (AM) has become a key topic in the manufacturing industry, challenging conventional techniques. However, AM has its limitations, and understanding its convenience despite established processes remains sometimes difficult, especially in preliminary design phases. This investigation provides a hybrid multi-criteria decision-making method [...] Read more.
Additive manufacturing (AM) has become a key topic in the manufacturing industry, challenging conventional techniques. However, AM has its limitations, and understanding its convenience despite established processes remains sometimes difficult, especially in preliminary design phases. This investigation provides a hybrid multi-criteria decision-making method (MCDM) for comparing AM and conventional processes. The MCDM method consists of the Best Worst Method (BWM) for the definition of criteria weights and the Proximity Index Value (PIV) method for the generation of the final ranking. The BWM reduces the number of pairwise comparisons required for the definition of criteria weights, whereas the PIV method minimizes the probability of rank reversal, thereby enhancing the robustness of the results. The methodology was validated through a case study, an aerospace bracket. The candidate processes for the bracket production were CNC machining, high-pressure die casting, and PBF-LB/M. The production of the bracket by AM was found to be the optimal choice for small to medium production batches. Additionally, the study emphasized the significance of material selection, process design guidelines, and production batch in the context of informed process selection, thereby enabling technical professionals without a strong AM background in pursuing conscious decisions. Full article
(This article belongs to the Special Issue Design Process for Additive Manufacturing)
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23 pages, 4093 KiB  
Article
4D Printing: Research Focuses and Prospects
by Yuran Jin and Jiahui Liu
Designs 2024, 8(6), 106; https://doi.org/10.3390/designs8060106 - 23 Oct 2024
Viewed by 796
Abstract
As an emerging technology in the field of additive manufacturing, 4D printing is highly disruptive to traditional manufacturing processes. Therefore, it is necessary to systematically summarize the research on 4D printing to promote the development of related industries and academic research. However, there [...] Read more.
As an emerging technology in the field of additive manufacturing, 4D printing is highly disruptive to traditional manufacturing processes. Therefore, it is necessary to systematically summarize the research on 4D printing to promote the development of related industries and academic research. However, there is still an obvious gap in the visual connection between 4D printing theory and application research. We collected 2070 studies from 2013 on 4D printing from the core collection of Web of Science. We used VOSviewer 1.6.20 and CiteSpace software 6.3.3 to visualize the references and keywords to explore focuses and trends in 4D printing using scientometrics. In addition, real-world applications of 4D printing were analyzed based on the literature. The results showed that “tissue engineering applications” is the most prominent focus. In addition, “shape recovery”, “liquid crystal elastomer”, “future trends”, “bone tissue engineering”, “laser powder bed fusion”, “cervical spine”, “4D food printing”, “aesthetic planning” are also major focuses. From 2013 to 2015, focuses such as “shape memory polymers” and “composites” evolved into “fabrication”. From 2015 to 2018, the focus was on “technology” and “tissue engineering”. After 2018, “polylactic acid”, “cellulose”, and “regenerative medicine” became emerging focuses. Second, emerging focuses, such as polylactic acid and smart polymers, have begun to erupt and have become key research trends since 2022. “5D printing”, “stability” and “implants” may become emerging trends in the future. “4D + Food”, “4D + Cultural and Creative”, “4D + Life” and “4D + Clothing” may become future research trends. Third, 4D printing has been widely used in engineering manufacturing, biomedicine, food printing, cultural and creative life, and other fields. Strengthening basic research will greatly expand its applications in these fields and continuously increase the number of applicable fields. Full article
(This article belongs to the Special Issue Design Process for Additive Manufacturing)
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18 pages, 17110 KiB  
Article
Contribution of Artificial Intelligence (AI) to Code-Based 3D Modeling Tasks
by Marianna Zichar and Ildikó Papp
Designs 2024, 8(5), 104; https://doi.org/10.3390/designs8050104 - 18 Oct 2024
Viewed by 531
Abstract
The rapid advancement of technology and innovation is also impacting education across different levels. The rise of Artificial Intelligence (AI) is beginning to transform education in various areas, from course materials to assessment systems. This requires educators to reconsider how they evaluate students’ [...] Read more.
The rapid advancement of technology and innovation is also impacting education across different levels. The rise of Artificial Intelligence (AI) is beginning to transform education in various areas, from course materials to assessment systems. This requires educators to reconsider how they evaluate students’ knowledge. It is crucial to understand if and to what extent assignments can be completed using AI tools. This study explores two hypotheses about the risks of using code-based 3D modeling software in education and the potential for students to delegate their work to AI when completing assignments. We selected two tasks that students were able to successfully complete independently and provided the same amount of information (both textual and image) to AI in order to generate the necessary code. We tested the widely used ChatGPT and Gemini AI bots to assess their current performance in generating code based on text prompts or image-based information for the two models. Our findings indicate that students are not yet able to entirely delegate their work to these AI tools. Full article
(This article belongs to the Special Issue Design Process for Additive Manufacturing)
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15 pages, 7363 KiB  
Article
Integrating Pneumatic and Thermal Control in 3D Bioprinting for Improved Bio-Ink Handling
by Perrin Woods, Carter Smith, Scott Clark and Ahasan Habib
Designs 2024, 8(4), 83; https://doi.org/10.3390/designs8040083 - 22 Aug 2024
Cited by 1 | Viewed by 1013
Abstract
The rapid advancement of 3D bioprinting has created a need for cost-effective and versatile 3D printers capable of handling bio-inks at various scales. This study introduces a novel framework for a specialized nozzle-holding device designed for an extrusion-based 3D bioprinter, specifically tailored to [...] Read more.
The rapid advancement of 3D bioprinting has created a need for cost-effective and versatile 3D printers capable of handling bio-inks at various scales. This study introduces a novel framework for a specialized nozzle-holding device designed for an extrusion-based 3D bioprinter, specifically tailored to address the rigorous requirements of tissue engineering applications. The proposed system combines a pneumatically actuated plunger mechanism with an adaptive nozzle system, ensuring the safe inhibition and precise dispensing of bio-inks. Rigorous thermal management strategies are employed to maintain consistently low temperatures, thereby preserving bio-ink integrity without changing chemical stability. A key component of this design is a precision-milled aluminum block, which optimizes thermal characteristics while providing a protective barrier. Additionally, a 3D-printed extruder head bracket, fabricated using a high-precision resin printer, effectively mitigates potential thermal inconsistencies. The integration of these meticulously engineered components results in a modified extrusion-based 3D bioprinter with the potential to significantly advance tissue engineering methodologies. This study not only contributes to the advancement of bioprinting technology but also underscores the crucial role of innovative engineering in addressing tissue engineering challenges. The proposed bioprinter design lays a solid foundation for future research, aiming to develop more accurate, efficient, and reliable bioprinting solutions. Full article
(This article belongs to the Special Issue Design Process for Additive Manufacturing)
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13 pages, 13613 KiB  
Article
A Simplified Design Method for the Mechanical Stability of Slit-Shaped Additively Manufactured Reactor Modules
by David F. Metzger, Christoph Klahn and Roland Dittmeyer
Designs 2024, 8(3), 41; https://doi.org/10.3390/designs8030041 - 7 May 2024
Viewed by 1049
Abstract
Equipment integrity is an essential aspect of process engineering. Design guidelines facilitate the design and production of safe-to-operate and economic devices. Thin-walled, slit-shaped modules form a subgroup of process engineering devices made via additive manufacturing (AM). Being subject to internal pressure, they have [...] Read more.
Equipment integrity is an essential aspect of process engineering. Design guidelines facilitate the design and production of safe-to-operate and economic devices. Thin-walled, slit-shaped modules form a subgroup of process engineering devices made via additive manufacturing (AM). Being subject to internal pressure, they have lacked design guidelines until now. We derived a user-centered calculation model for such modules with regular internal structures. It was validated with Finite Element Analysis (FEA) and practical pressure tests for which the modules were manufactured additively. The performance of the calculation could be confirmed, and a design graph was derived. Slit-shaped modules with appropriate internal structures can withstand high pressure at a minimum wall thickness, and they are efficiently fabricated. These structures, being pins, fins, lattice, or heat transfer enhancing fluid-guiding elements (FGEs), occupied approximately 10% of the modules’ internal volume. Full article
(This article belongs to the Special Issue Design Process for Additive Manufacturing)
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