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Journal articles on the topic 'Design for Additive Manufacturing (DFAM)'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Tuvayanond, Wiput, and Lapyote Prasittisopin. "Design for Manufacture and Assembly of Digital Fabrication and Additive Manufacturing in Construction: A Review." Buildings 13, no. 2 (2023): 429. http://dx.doi.org/10.3390/buildings13020429.

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Design for manufacture and assembly (DfMA) in the architectural, engineering, and construction (AEC) industry is attracting the attention of designers, practitioners, and construction project stakeholders. Digital fabrication (Dfab) and design for additive manufacturing (DfAM) practices are found in current need of further research and development. The DfMA’s conceptual function is to maximize the process efficiency of Dfab and AM building projects. This work reviewed 171 relevant research articles over the past few decades. The concepts and the fundamentals of DfMA in building and constructio

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Saliba, S., J. C. Kirkman-Brown, and L. E. J. Thomas-Seale. "Temporal design for additive manufacturing." International Journal of Advanced Manufacturing Technology 106, no. 9-10 (2020): 3849–57. http://dx.doi.org/10.1007/s00170-019-04835-3.

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AbstractAdditive manufacturing (AM) is expected to generate huge economic revenue by 2025; however, this will only be realised by overcoming the barriers that are preventing its increased adoption to end-use parts. Design for AM (DfAM) is recognised as a multi-faceted problem, exasperated by constraints to creativity, knowledge propagation, insufficiencies in education and a fragmented software pipeline. This study proposes a novel approach to increase the creativity in DfAM. Through comparison between DfAM and in utero human development, the unutilised potential of design through the time dom

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Wang, Yuanbin, Robert Blache, and Xun Xu. "Selection of additive manufacturing processes." Rapid Prototyping Journal 23, no. 2 (2017): 434–47. http://dx.doi.org/10.1108/rpj-09-2015-0123.

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Purpose This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task. Design/methodology/approach AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process perfor

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Berni, Aurora, Yuri Borgianni, Martins Obi, Patrick Pradel, and Richard Bibb. "INVESTIGATING PERCEIVED MEANINGS AND SCOPES OF DESIGN FOR ADDITIVE MANUFACTURING." Proceedings of the Design Society 1 (July 27, 2021): 1937–46. http://dx.doi.org/10.1017/pds.2021.455.

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AbstractThe concept of Design for Additive Manufacturing (DfAM) is gaining popularity along with AM, despite its scopes are not well established. In particular, in the last few years, DfAM methods have been intuitively subdivided into opportunistic and restrictive. This distinction is gaining traction despite a lack of formalization. In this context, the paper investigates experts' understanding of DfAM. In particular, the authors have targeted educators, as the perception of DfAM scopes in the future will likely depend on teachers' view. A bespoke survey has been launched, which has been answ

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Wiberg, Anton, Johan Persson, and Johan Ölvander. "Design for additive manufacturing – a review of available design methods and software." Rapid Prototyping Journal 25, no. 6 (2019): 1080–94. http://dx.doi.org/10.1108/rpj-10-2018-0262.

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Purpose This paper aims to review recent research in design for additive manufacturing (DfAM), including additive manufacturing (AM) terminology, trends, methods, classification of DfAM methods and software. The focus is on the design engineer’s role in the DfAM process and includes which design methods and tools exist to aid the design process. This includes methods, guidelines and software to achieve design optimization and in further steps to increase the level of design automation for metal AM techniques. The research has a special interest in structural optimization and the coupling betwe

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Valjak, Filip, and Nenad Bojčetić. "Conception of Design Principles for Additive Manufacturing." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 689–98. http://dx.doi.org/10.1017/dsi.2019.73.

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AbstractAdditive Manufacturing (AM) brought new design freedom and possibilities that enable design and manufacturing of products with new forms and functionalities. To utilise these possibilities a new design approach emerged, Design for Additive Manufacturing (DfAM), that contains methods and tools for supporting AM oriented design process. Designers working with AM are aware of the need to apply DfAM and AM possibilities in conceptual design phase where they have the most significant influence on product architecture and form but are facing a lack of suitable DfAM approaches for early desig

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Tsakiris, Antonios, Christos Salpistis, and Athanassios Mihailidis. "Design Right Once for Additive Manufacturing." MATEC Web of Conferences 188 (2018): 03020. http://dx.doi.org/10.1051/matecconf/201818803020.

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Additive Manufacturing (AM) has been widely considered a key factor for innovative design. However, the utilization of AM has not been as high as expected, although the technology offers key innovative design capabilities, weight reduction, parts count and assembly consolidation as well as material saving. This low utilization is attributed to the lack of AM understanding, mature CAE/CAM software tools addressing AM specific issues such as design support structure generation and removal, residual stresses, surface quality. In most cases, Design for AM (DfAM) is a crucial requisite for a “Desig

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Valjak, Filip, and Angelica Lindwall. "REVIEW OF DESIGN HEURISTICS AND DESIGN PRINCIPLES IN DESIGN FOR ADDITIVE MANUFACTURING." Proceedings of the Design Society 1 (July 27, 2021): 2571–80. http://dx.doi.org/10.1017/pds.2021.518.

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AbstractThe advent of additive manufacturing (AM) in recent years have had a significant impact on the design process. Because of new manufacturing technology, a new area of research emerged – Design for Additive Manufacturing (DfAM) with newly developed design support methods and tools. This paper looks into the current status of the field regarding the conceptual design of AM products, with the focus on how literature sources treat design heuristics and design principles in the context of DfAM. To answer the research question, a systematic literature review was conducted. The results are ana

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Prabhu, Rohan, Jordan Scott Masia, Joseph T. Berthel, Nicholas Alexander Meisel, and Timothy W. Simpson. "Maximizing design potential: investigating the effects of utilizing opportunistic and restrictive design for additive manufacturing in rapid response solutions." Rapid Prototyping Journal 27, no. 6 (2021): 1161–71. http://dx.doi.org/10.1108/rpj-11-2020-0297.

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Purpose The COVID-19 pandemic has resulted in numerous innovative engineering design solutions, several of which leverage the rapid prototyping and manufacturing capabilities of additive manufacturing. This paper aims to study a subset of these solutions for their utilization of design for AM (DfAM) techniques and investigate the effects of DfAM utilization on the creativity and manufacturing efficiency of these solutions. Design/methodology/approach This study compiled 26 COVID-19-related solutions designed for AM spanning three categories: (1) face shields (N = 6), (2) face masks (N = 12) an

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Rosen, David W. "The Current Design for Additive Manufacturing Research Frontier." International Journal of Precision Engineering and Manufacturing-Smart Technology 2, no. 1 (2024): 1–14. http://dx.doi.org/10.57062/ijpem-st.2023.0087.

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Design for additive manufacturing (DFAM) seeks to develop designs that take advantage of the unique capabilities of additive manufacturing (AM) processes to maximize benefits. In this paper, several issues at the frontier of DFAM research are highlighted. First, the need is described to include as-manufactured mechanical and other physical properties, such as topology and shape optimization and generative design, during computational design. AM processes rarely produce parts with homogeneous composition and isotropic properties, so design methods and tools should not assume them. Second, the t

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Dash, Satabdee, Axel Nordin, and Glenn Johansson. "Dual design for additive manufacturing in engineering design: a systematic literature review." Rapid Prototyping Journal 31, no. 11 (2025): 40–61. https://doi.org/10.1108/rpj-06-2024-0245.

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Purpose Dual design for additive manufacturing (DfAM) takes into account both the opportunities and constraints of AM simultaneously, which research shows is more effective than considering them separately. Unlike existing reviews, this paper aims to map DfAM research within the engineering design process, focusing solely on studies adopting dual DfAM. Additionally, it aims to suggest future research directions by analysing prominent research themes and their inter-relationships. Special emphasis is on theme inter-relationships concerning the conceptual, embodiment and detail design phases. De

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Schaechtl, Paul, Stefan Goetz, Benjamin Schleich, and Sandro Wartzack. "KNOWLEDGE-DRIVEN DESIGN FOR ADDITIVE MANUFACTURING: A FRAMEWORK FOR DESIGN ADAPTATION." Proceedings of the Design Society 3 (June 19, 2023): 2405–14. http://dx.doi.org/10.1017/pds.2023.241.

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AbstractDue to the high freedom of design, additive manufacturing (AM) is increasingly substituting conventional manufacturing technology in several sectors. However, the knowledge and the awareness for the suitable design of additively manufactured components or assemblies ensuring manufacturability and fully realizing its potential is still lacking. In recent years, approaches and tools have emerged that allow the incorporation of existing knowledge of Design for Additive Manufacturing (DfAM) into the design process. Nevertheless, these applications mostly do not consider the formalisation o

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Egan, Paul F. "Design for Additive Manufacturing: Recent Innovations and Future Directions." Designs 7, no. 4 (2023): 83. http://dx.doi.org/10.3390/designs7040083.

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Design for additive manufacturing (DfAM) provides a necessary framework for using novel additive manufacturing (AM) technologies for engineering innovations. Recent AM advances include shaping nickel-based superalloys for lightweight aerospace applications, reducing environmental impacts with large-scale concrete printing, and personalizing food and medical devices for improved health. Although many new capabilities are enabled by AM, design advances are necessary to ensure the technology reaches its full potential. Here, DfAM research is reviewed in the context of Fabrication, Generation, and

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Hamza, Anis, Kamel Bousnina, Issam Dridi, and Noureddine Ben Yahia. "Revolutionizing Automotive Design: The Impact of Additive Manufacturing." Vehicles 7, no. 1 (2025): 24. https://doi.org/10.3390/vehicles7010024.

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Design for Additive Manufacturing (DfAM) encompasses two primary strategies: adapting traditional designs for 3D printing and developing designs specifically optimized for additive manufacturing. The latter emphasizes consolidating assemblies and reducing weight, leveraging complex geometries and negative space through advanced techniques such as generative design and topology optimization. Critical considerations in the design phase include printing methods, material selection, support structures, and post-processing requirements. DfAM offers significant advantages over conventional subtracti

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Ellsel, Claudius, and Rainer Stark. "A knowledge-driven, integrated design support tool for additive manufacturing." Proceedings of the Design Society 4 (May 2024): 1747–56. http://dx.doi.org/10.1017/pds.2024.177.

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AbstractIncreasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach

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Chtioui, Narjess, Raoudha Gaha, and Abdelmajid Benamara. "Design for additive manufacturing: Review and framework proposal." Sustainable Engineering and Innovation 5, no. 1 (2023): 73–84. http://dx.doi.org/10.37868/sei.v5i1.id185.

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Additive manufacturing (AM) technologies have seen fast growth in the last few decades. AM needs the implementation of new methods in design, fabrication, and delivery to end-users. Hence, AM techniques have given great flexibility to designers as the design of complex components and highly customized products are no longer binding from a manufacturability point of view. In addition to high material variety, this allows multi-material and variable mechanical characteristics of product manufacturing. This review paper addresses the design for additive manufacturing (DfAM) rules, guidelines, and

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Tüzün, Gregory-Jamie, Daniel Roth, and Matthias Kreimeyer. "Providing a knowledge-based design catalog as an approach to support the development of design for additive manufacturing skills." Proceedings of the Design Society 4 (May 2024): 1869–78. http://dx.doi.org/10.1017/pds.2024.189.

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AbstractProficiency in design for additive manufacturing (DfAM) requires training and a lot of trial and error. To support the development of DfAM skills, we redesigned 47 design artifacts from case studies and derived tacit knowledge from successful and unsuccessful redesigns. All knowledge about these artifacts was then collected in a design catalog. In a workshop with a total of 48 graduates and students, 45 participants deemed the design catalog supportive. After evaluating their designs, we concluded that the use of a knowledge-based design catalog can develop and improve individual DfAM

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Fu, Wentao, Christoph Haberland, Eva Verena Klapdor, David Rule, and Sebastian Piegert. "Streamlined frameworks for advancing metal based additive manufacturing technologies." Journal of the Global Power and Propulsion Society 2 (January 29, 2018): QJLS4L. http://dx.doi.org/10.22261/jgpps.qjls4l.

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Abstract Metal-based additive manufacturing (AM) technologies such as selective laser melting (SLM) have seen successful applications in the gas turbine industry over the past years. The rapidly growing demand in AM requires in-depth knowledge of the process, materials and design for additive manufacturing (DFAM). However, the material characterization and process development are highly specific to a particular AM system, even for a number of standard alloys such as IN718 that are suitable for gas turbine applications. When the AM system changes or a new material becomes available, the whole d

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Sbrugnera Sotomayor, Nicolas Alberto, Fabrizia Caiazzo, and Vittorio Alfieri. "Enhancing Design for Additive Manufacturing Workflow: Optimization, Design and Simulation Tools." Applied Sciences 11, no. 14 (2021): 6628. http://dx.doi.org/10.3390/app11146628.

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In the last few decades, complex light-weight designs have been successfully produced via additive manufacturing (AM), launching a new era in the thinking–design process. In addition, current software platforms provide design tools combined with multi-scale simulations to exploit all the technology benefits. However, the literature highlights that several stages must be considered in the design for additive manufacturing (DfAM) process, and therefore, performing holistic guided-design frameworks become crucial to efficiently manage the process. In this frame, this paper aims at providing the m

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Schmitt, Pascal, Lisa Siewert, and Kilian Gericke. "A proposal for guiding the selection of suitable DfAM support based on experiential knowledge." Proceedings of the Design Society 4 (May 2024): 1829–38. http://dx.doi.org/10.1017/pds.2024.185.

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AbstractUnlocking additive manufacturing's (AM) potential requires designer expertise. Design for additive manufacturing (DfAM) addresses this need but faces barriers, such as uncertainty in scope of integration, design support selection, result validation or time investment for incorporating design support. This paper proposes a framework aligning SCRUM (agile framework) to aid designers in overcoming those barriers. The goal is to pave the way for a better exchange between academia and industry and fostering iterative development of DfAM support tailored to designer needs.

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Aljabali, Bader Alwoimi, Santosh Kumar Parupelli, and Salil Desai. "Generalized Design for Additive Manufacturing (DfAM) Expert System Using Compliance and Design Rules." Machines 13, no. 1 (2025): 29. https://doi.org/10.3390/machines13010029.

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Additive manufacturing (AM) has revolutionized the design and production of complex geometries by offering unprecedented creative freedom over traditional manufacturing. Despite its growing prominence, AM lacks automated and standardized design rules tailored to specific AM processes, resulting in time-consuming and expert-dependent manual verification. To address these limitations, this research introduces a novel design for additive manufacturing (DfAM) framework consisting of two complementary models designed to automate the design process. The first model, based on a decision tree algorith

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Borgue, Müller, Leicht, Panarotto, and Isaksson. "Constraint Replacement-Based Design for Additive Manufacturing of Satellite Components: Ensuring Design Manufacturability through Tailored Test Artefacts." Aerospace 6, no. 11 (2019): 124. http://dx.doi.org/10.3390/aerospace6110124.

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Additive manufacturing (AM) is becoming increasingly attractive for aerospace companies due to the fact of its increased ability to allow design freedom and reduce weight. Despite these benefits, AM comes with manufacturing constraints that limit design freedom and reduce the possibility of achieving advanced geometries that can be produced in a cost-efficient manner. To exploit the design freedom offered by AM while ensuring product manufacturability, a model-based design for an additive manufacturing (DfAM) method is presented. The method is based on the premise that lessons learned from tes

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Mallalieu, A., T. Hajali, O. Isaksson, and M. Panarotto. "The Role of Digital Infrastructure for the Industrialisation of Design for Additive Manufacturing." Proceedings of the Design Society 2 (May 2022): 1401–10. http://dx.doi.org/10.1017/pds.2022.142.

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AbstractThe use of Additive Manufacturing (AM) can bring opportunities for industry, but several challenges need to be addressed, specifically the digital infrastructure comprising the AM value chain. A combination of a systematic literature review and an industrial use case study concludes that there is low consideration of the digital infrastructure in Design for Additive Manufacturing (DfAM) methods and tools which has a negative impact on the industrialisation of AM. It is therefore recommended that further studies are to be made on how to manage the digital infrastructure in DfAM processe

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Sossou, Germain, Frédéric Demoly, Samuel Gomes, and Ghislain Montavon. "An Assembly-Oriented Design Framework for Additive Manufacturing." Designs 6, no. 1 (2022): 20. http://dx.doi.org/10.3390/designs6010020.

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The shape complexity capability of additive manufacturing (AM) is currently the main thrust of the design for AM (DFAM) research. In order to aid designers embracing that complexity-for-free characteristics of AM, many design approaches have been put forth. However, AM does not only benefit parts’ designs: its capability can be harnessed at assembly level to design performant and innovative products. Most of the few contributions on the topic are concerned with part consolidation of existing assemblies, but other advantages such as assembly-free mechanisms, multi-material components, or even c

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Sossou, Germain, Frédéric Demoly, Ghislain Montavon, and Samuel Gomes. "An additive manufacturing oriented design approach to mechanical assemblies." Journal of Computational Design and Engineering 5, no. 1 (2017): 3–18. http://dx.doi.org/10.1016/j.jcde.2017.11.005.

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Abstract Firstly introduced as a prototyping process, additive manufacturing (AM) is being more and more considered as a fully-edged manufacturing process. The number of AM processes, along with the range of processed materials are expanding. AM has made manufacturable shapes that were too difficult (or even impossible) to manufacture with conventional technologies. This has promoted a shift in engineering design, from conventional design for manufacturing and assembly to design for additive manufacturing (DFAM). Research efforts into the DFAM field have been mostly dedicated to part's design,

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Formentini, G., C. Favi, M. Mandolini, and M. Germani. "A Framework to Collect and Reuse Engineering Knowledge in the Context of Design for Additive Manufacturing." Proceedings of the Design Society 2 (May 2022): 1371–80. http://dx.doi.org/10.1017/pds.2022.139.

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AbstractDesign for AM (DfAM) requires the definition of Design Actions (DAs) to optimize AM manufacturing processes. However, AM understanding is still very blurred. Often designers are challenged by selecting the right design parameters. A method to list and collect DfAM DAs is currently missing. The paper aims at providing a framework to collect DfAM DAs according to a developed ontology to create databases (DBs). DBs were tested with two real case studies and geometric features to improve identified. Future developments aim at widening the database to provide all-around support for AM proce

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Tüzün, Gregory-Jamie, Enno Garrelts, Daniel Roth, and Hansgeorg Binz. "DERIVATION OF CRITERIA FOR ASSESSING SOLUTION PRINCIPLES CONFORMAL FOR ADDITIVE MANUFACTURING." Proceedings of the Design Society 1 (July 27, 2021): 923–32. http://dx.doi.org/10.1017/pds.2021.92.

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AbstractAdditively manufactured final products and components are not always tailored to the additive manufacturing (AM) process, but they need to be in order to exploit the many advantages and potentials that AM provides. Therefore, an appropriate AM design should be targeted, which reduces the necessary iterations in the developing process of AM products. Although there is a large number of existing literature on the Design for Additive Manufacturing (DfAM), designers usually lack criteria in order to assess AM-conformity in conceptual design. In this paper, we provide a basis for the assess

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Havenga, Sarel, Izak van Zyl, Bruce Snaddon, and Alettia Chisin. "Towards the effective development of Design for Additive Manufacturing (DFAM) curricula: an exploration of strategies and solutions in education." MATEC Web of Conferences 388 (2023): 05009. http://dx.doi.org/10.1051/matecconf/202338805009.

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This study investigated the affordances (hindrances and opportunities) of developing a comprehensive Design for Additive Manufacturing (DfAM) curricular product in the South African higher education sector. The methodology consisted of an initial literature review illustrating the use of DfAM in higher education and the existence of formal DfAM curricula. Through the literature, the researchers sought these hindrances and opportunities to guide the development of a curriculum sample product. In addition, appropriate theoretical frameworks were investigated and then combined with pedagogical ai

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Shan, Muhammad Umer, and Salman Hussain. "Design for assembly approach for additive manufacturing products: a decision support system for large-size AM products." Mehran University Research Journal of Engineering and Technology 42, no. 1 (2023): 42. http://dx.doi.org/10.22581/muet1982.2301.05.

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In a contemporary era, Additive Manufacturing (AM), 3D printing or rapid prototyping has evolved as a distinctive method when compared with the traditional manufacturing. By addressing the topic of Design for Additive Manufacturing (DFAM), it is observed that the basic principles of DFAM and Design for Assembly (DFA) are well established and usually applicable on small-size AM parts. To address this critical manufacturing decision, our research work presents a new decision support system (DSS) for a large-size AM part which is based on compiling the existing DFAM methodologies. Before presenti

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Costa, Ilídio Brito, Bruno Rafael Cunha, João Marouvo, et al. "Topology Optimization of a Milling Cutter Head for Additive Manufacturing." Metals 15, no. 7 (2025): 729. https://doi.org/10.3390/met15070729.

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The rapid growth of the machining market and advancements in additive manufacturing (AM) present new opportunities for innovative tool designs. This preliminary study proposes a design for additive manufacturing (DfAM) approach to redesign a milling cutter head in 17-4 PH stainless steel by integrating topology optimization (TO) and internal coolant channel optimization, enabled by laser powder bed fusion (LPBF). An industrial eight-insert milling cutting tool was reimagined with conformal cooling channels and a lightweight topology-optimized structure. The design process considered LPBF const

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Weber, S., J. Montero, M. Bleckmann, and K. Paetzold. "PARAMETERS ON SUPPORT STRUCTURE DESIGN FOR METAL ADDITIVE MANUFACTURING." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 1145–54. http://dx.doi.org/10.1017/dsd.2020.14.

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AbstractThe topic of support structure design in the Design for Additive Manufacturing (DfAM) field is not addressed with the same relevance as the topic of part design. Therefore, this contribution investigates parameters for both the manufacturing and support structure design for the Laser Powder Bed Fusion (L-PBF) process. Matrices for cause-effect-relations of manufacturing and design parameters on build properties as well as correlations of them are presented. Based on these, recommendations for actions for experimental procedures are derived following the Design of Experiments method.

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Asadollahi-Yazdi, Elnaz, Julien Gardan, and Pascal Lafon. "Multi-objective optimization approach in design for additive manufacturing for fused deposition modeling." Rapid Prototyping Journal 25, no. 5 (2019): 875–87. http://dx.doi.org/10.1108/rpj-07-2018-0186.

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Purpose This paper aims to provide a multi-objective optimization problem in design for manufacturing (DFM) approach for fused deposition modeling (FDM). This method considers the manufacturing criteria and constraints during the design by selecting the best manufacturing parameters to guide the designer and manufacturer in fabrication with FDM. Design/methodology/approach Topological optimization and bi-objective optimization problems are suggested to complete the DFM approach for design for additive manufacturing (DFAM) to define a product. Topological optimization allows the shape improveme

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Guohui, Chen, Auwal Haruna, Chen Youze, et al. "Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing." Machines 13, no. 2 (2025): 112. https://doi.org/10.3390/machines13020112.

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Additive manufacturing (AM) technology is gaining acceptance as a strategic manufacturing technique for allowing new product development. Due to ongoing process improvement, design for AM (DFAM) has become a major issue in harnessing AM’s production and development possibilities to achieve design freedom. The classical design process model does not encompass all the knowledge available to take advantage of design freedom. Therefore, a conceptual and in-depth analysis of design alternatives is necessary to determine the manufacturing process. As a result, this research proposed a design process

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Borgianni, Yuri, Lorenzo Maccioni, Pasquale Russo Spena, and Manikanda Kumar Shunmugavel. "University Education in Additive Manufacturing and the Need to Boost Design Aspects." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 629–38. http://dx.doi.org/10.1017/dsi.2019.67.

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AbstractAdditive Manufacturing (AM) is a potentially revolutionary technique in industry with claims of high skills shortage in the recent days. It is assumed that full exploitation of AM capabilities can be made possible by a paradigm shift steered by engineering design. Future generations of engineers might benefit from Design for Additive Manufacturing (DfAM), which targets AM potential and enables design freedoms. In this context, the paper investigates AM education for a better understanding of the main AM-related subjects taught in universities. To this scope, the authors gathered 52 syl

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Holub, Peter, Ladislav Gulan, Andrej Korec, Viktória Chovančíková, Miroslav Nagy, and Martin Nagy. "Application of Advanced Design Methods of “Design for Additive Manufacturing” (DfAM) to the Process of Development of Components for Mobile Machines." Applied Sciences 13, no. 22 (2023): 12532. http://dx.doi.org/10.3390/app132212532.

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The research problem is oriented to shortening the development time of products for the automotive and engineering industry and to improving their output properties, such as weight reduction by implementation of advanced design methods (DfAMs). The intention of the study is to achieve positive properties in components and to shorten the development phase when applying DfAM methods, specifically the use of topological optimization (TO). In development of the design methodology using TO, the procedure and results were addressed and consulted with a specific manufacturer in the industry who provi

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Strauß, L., J. Montero, S. Weber, et al. "Effect of Heat Treatment on the Hardness of Unconventional Geometrical Features for Laser Powder Bed Fused AlSi10Mg." Proceedings of the Design Society 2 (May 2022): 603–12. http://dx.doi.org/10.1017/pds.2022.62.

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AbstractThe adoption of Design for Additive Manufacturing (DfAM) practices brought new industrial components embedding unconventional shapes such as lattice structures or freeform surfaces resulting from topological optimisations. As a drawback of design freedom, designers need to use thermal post-processing to achieve homogeneous properties in metal 3D printing. This contribution analyses the effect of T6-like heat treatment on the hardness of a complex component. Hardness values are reported along with good design practices for effective thermal post-processing to complement the DfAM knowled

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Valjak, Filip, Ana Kapetanović, Ivona Taradi, and Nenad Bojčetić. "WORK IN PROGRESS: DEVELOPMENT OF EDUCATIONAL KIT FOR TEACHING ADDITIVE MANUFACTURING." Proceedings of the Design Society 3 (June 19, 2023): 3909–18. http://dx.doi.org/10.1017/pds.2023.392.

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AbstractAdditive Manufacturing (AM) is a unique manufacturing technology that is being rapidly accepted in various industries, leading to increased demand for experts who know to work with AM and how to design AM products. This led to a broader adaptation of AM in an educational context with various research on how to teach AM. However, most approaches are focused on teaching advanced AM application and Design for AM (DfAM), including both restrictive and opportunistic approaches, with little attention to specialised educational tools to show and teach the basic principle, possibilities and ch

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Cunha, Mariana, Sofia Alves, and Jose Costa. "Design and Optimization of a Gripper Clamp." U.Porto Journal of Engineering 10, no. 1 (2024): 34–44. http://dx.doi.org/10.24840/2183-6493_0010-001_002059.

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Additive Manufacturing, among the many developing advanced manufacturing technologies, stands out as the one with the greatest potential for changing the distribution of manufacturing, society, and sustainability. To produce sustainable and competitive products, component material and design selection is an essential and critical topic in the industry. The production of parts designed using the Design for Additive Manufacturing methodology (DfAM) has grown in popularity in recent years. Topological optimization can be used as a design tool in the early stages of the design process to meet stre

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Ananda, Deepak, Pardeep Pardeep, and Nitesh Pandey. "Design for Additive Manufacturing (DfAM): Integrating Topology Optimization and Generative Design for Advanced Mechanical Components in Industry 4.0." International Journal of Research Publication and Reviews 6, no. 5 (2025): 1723–31. https://doi.org/10.55248/gengpi.6.0525.1642.

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Lopez Taborda, Luis Lisandro, Heriberto Maury, and Jovanny Pacheco. "Design for additive manufacturing: a comprehensive review of the tendencies and limitations of methodologies." Rapid Prototyping Journal 27, no. 5 (2021): 918–66. http://dx.doi.org/10.1108/rpj-11-2019-0296.

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Purpose There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective. Design/methodology/approach This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufac

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McMillan, Matthew Leslie, Marten Jurg, Martin Leary, and Milan Brandt. "Programmatic generation of computationally efficient lattice structures for additive manufacture." Rapid Prototyping Journal 23, no. 3 (2017): 486–94. http://dx.doi.org/10.1108/rpj-01-2016-0014.

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Purpose Additive manufacturing (AM) enables the fabrication of complex geometries beyond the capability of traditional manufacturing methods. Complex lattice structures have enabled engineering innovation; however, the use of traditional computer-aided design (CAD) methods for the generation of lattice structures is inefficient, time-consuming and can present challenges to process integration. In an effort to improve the implementation of lattice structures into engineering applications, this paper aims to develop a programmatic lattice generator (PLG). Design/methodology/approach The PLG meth

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Hamulczuk, Dominika, and Ola Isaksson. "DATA ANALYSIS AS THE BASIS FOR IMPROVED DESIGN FOR ADDITIVE MANUFACTURING (DFAM)." Proceedings of the Design Society 1 (July 27, 2021): 811–20. http://dx.doi.org/10.1017/pds.2021.81.

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AbstractAdditive Manufacturing (AM) has a large potential to revolutionize the manufacturing industry, yet the printing parameters and part design have a profound impact on the robustness of the printing process as well as the resulting quality of the manufactured components. To control the printing process, a substantial number of parameters is measured while printing and used primarily to control and adjust the printing process in-situ. The question raised in this paper is how to benefit from these data being gathered to gain insight into the print process stability. The case study performed

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Haruna, Auwal, Khandaker Noman, Yongbo Li, and Intizar Ali Shah. "A Framework for FDM-based DFAM: Key Enabling Technologies for Knowledge-based Design." Journal of Physics: Conference Series 2762, no. 1 (2024): 012087. http://dx.doi.org/10.1088/1742-6596/2762/1/012087.

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Abstract The booming and evolution of additive manufacturing (AM) technologies call for robust key enabling technologies and solutions to the ongoing advancement of AM. However, there are limitations to the fused deposition modeling-based design for AM (FDM-based DFAM), including an inadequate understanding of the process activities and the progressive industrialization, which make the concept generation operations unreliable, inconsistent, and of limited influence. This paper proposes a principle knowledge-based framework for enabling technologies in FDM-based DFAM to provide solutions to the

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Fu, Yun-Fei, Kazem Ghabraie, Bernard Rolfe, Yanan Wang, and Louis N. S. Chiu. "Smooth Design of 3D Self-Supporting Topologies Using Additive Manufacturing Filter and SEMDOT." Applied Sciences 11, no. 1 (2020): 238. http://dx.doi.org/10.3390/app11010238.

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The smooth design of self-supporting topologies has attracted great attention in the design for additive manufacturing (DfAM) field as it cannot only enhance the manufacturability of optimized designs but can obtain light-weight designs that satisfy specific performance requirements. This paper integrates Langelaar’s AM filter into the Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT) algorithm—a new element-based topology optimization method capable of forming smooth boundaries—to obtain print-ready designs without introducing post-processing methods for smoothing boundaries

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Prajapati, Mayur Jiyalal, Chinmai Bhat, Ajeet Kumar, Saurav Verma, Shang-Chih Lin, and Jeng-Ywan Jeng. "Supportless Lattice Structure for Additive Manufacturing of Functional Products and the Evaluation of Its Mechanical Property at Variable Strain Rates." Materials 15, no. 22 (2022): 7954. http://dx.doi.org/10.3390/ma15227954.

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This study proposes an innovative design solution based on the design for additive manufacturing (DfAM) and post-process for manufacturing industrial-grade products by reducing additive manufacturing (AM) time and improving production agility. The design of the supportless open cell Sea Urchin lattice structure is analyzed using DfAM for material extrusion (MEX) process to print support free in any direction. The open cell is converted into a global closed cell to entrap secondary foam material. The lattice structure is 3D printed with Polyethylene terephthalate glycol (PETG) material and is f

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Dos Santos, Andréa Cristina, Alexandre Crepory Abbot De Oliveira, Tiago Camargo Alves, Joao Vitor Quintiliano Silveiro Borges, and Leandro Bruno Alves Caio. "The design and production by additive manufacturing: case of face shields / O projeto e a produção por manufatura aditiva: caso dos protetores faciais." Brazilian Journal of Development 8, no. 4 (2022): 25095–110. http://dx.doi.org/10.34117/bjdv8n4-163.

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Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) quickly reached a global pandemic status in 2020 creating a huge demand for personal protective and medical equipment. Additive manufacturing, in this context, became a solution to alleviate the demands of the healthcare sector. This article presents how lean manufacturing approaches and Design for Additive Manufacturing (DfAM) helped to implement an additive manufacturing line for face shields production. The methodological approach was action research, in which undergraduate and graduate students, professionals, and researchers joi

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Air, Alan, and Andrew Wodehouse. "A DFAM FRAMEWORK FOR THE DESIGN OF COMPLIANT STRUCTURES." Proceedings of the Design Society 3 (June 19, 2023): 111–20. http://dx.doi.org/10.1017/pds.2023.12.

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AbstractAdditive manufacturing methods present prospects for designed mechanical deformation via the integration of controlled anisotropic lattice structure forms. Their assimilation into a Design for Additive Manufacturing (DfAM) process would create a novel framework for the design of compliant mechanisms (CM). The method uses lattice structures to replace rigid multi-part mechanisms, with integrated and controlled flexibility into a single, compact, and precise component. In recent years, a lot of research has gone into making algorithms that enable users to generate CMs for their designs.

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Bjørken, Olav U., Benjamin Andresen, Sindre W. Eikevåg, Martin Steinert, and Christer W. Elverum. "Thermal Layer Design in Fused Filament Fabrication." Applied Sciences 12, no. 14 (2022): 7056. http://dx.doi.org/10.3390/app12147056.

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The current limitations of design for additive manufacturing (DfAM) are the state of knowledge on materials and the effects of production parameters. As more engineering-grade polymers become available for fused filament fabrication (FFF), the designs and processes must be adapted to fully utilize the structural properties of such materials. By studying and comparing the production parameters of a material test specimen and a component, the effects of layer temperature on the strength, surface roughness, and dimensional accuracy of PA6-CF were found. As the cross-section increases in component

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Wiberg, Anton, Johan Persson, and Johan Ölvander. "An optimisation framework for designs for additive manufacturing combining design, manufacturing and post-processing." Rapid Prototyping Journal 27, no. 11 (2021): 90–105. http://dx.doi.org/10.1108/rpj-02-2021-0041.

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Purpose The purpose of this paper is to present a Design for Additive Manufacturing (DfAM) methodology that connects several methods, from geometrical design to post-process selection, into a common optimisation framework. Design/methodology/approach A design methodology is formulated and tested in a case study. The outcome of the case study is analysed by comparing the obtained results with alternative designs achieved by using other design methods. The design process in the case study and the potential of the method to be used in different settings are also discussed. Finally, the work is co

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De Pasquale, Giorgio. "Design and Modeling of MEMS Microgrippers for Laser-Based Additive Manufacturing." Micro 2, no. 2 (2022): 225–39. http://dx.doi.org/10.3390/micro2020015.

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The geometrical constraints and dimensional tolerances lead to specific design issues of MEMS manipulators for biological applications. The target properties become even more important in the case of in vitro manipulation of cells. Several design solutions have been proposed in the literature, however, some issues related to the thermal heating of microgripper tips and to the electric voltage effects still remain unsolved. This paper reports the design for additive manufacturing (DFAM) of micro-electro mechanical systems (MEMS) microgrippers. The design limitations imposed by the micro-stereol

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