University Education in Additive Manufacturing and the Need to Boost Design Aspects

Borgianni, Yuri; Maccioni, Lorenzo; Spena, Pasquale Russo; Shunmugavel, Manikanda Kumar

doi:10.1017/dsi.2019.67

Cited by 13 publications

(9 citation statements)

References 18 publications

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“…While AM-related research is constantly developing both AM technology itself, as well as DfAM methods and tools for leveraging AM possibilities in the design of new products (Gao et al, 2015;Thompson et al, 2016), there is a growing need to transfer the new knowledge to students through education (Asiabanpour, 2019). Therefore, a growing number of universities are including DfAM in their education, either as a stand-alone course or as a part of a broader course on manufacturing, engineering, and design (Borgianni et al, 2019). In addition, literature sources report different ways of learning about AM and DfAM, from learning through project-based approaches, such as building an AM machine or design challenge, to lecture-based approaches and the use of models created with AM in the classroom.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Consequently, the increasing use of AM in the industry led to increased demand for workers with knowledge of AM (Asiabanpour, 2019). This generated awareness for research on Design for Additive Manufacturing (DfAM) (Obi et al, 2022) and the need for AM education (Borgianni et al, 2022), especially in higher education (Borgianni et al, 2019;Prabhu, Miller, et al, 2020a;Stern et al, 2019), but also in primary and secondary education as well (Ford and Minshall, 2019;Pei et al, 2019). Ford and Minshall (2019) reviewed where and how AM is used in teaching education, showing that AM is nowadays used as an educational tool in various educational surroundings, from schools and universities to libraries and maker spaces.…”

Section: Introductionmentioning

confidence: 99%

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Work in Progress: Development of Educational Kit for Teaching Additive Manufacturing

Valjak,

Kapetanović,

Taradi

et al. 2023

Proc. Des. Soc.

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Additive 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 characteristics of AM. This paper presents the development of an Educational Kit for AM to address the gap and help teachers to explain the basics of AM, with a current focus on the material extrusion process. The Educational Kit is made of 17 models and accompanied cards explaining the essential characteristics of AM through short textual explanations, graphics, examples and manufacturing data. The Educational Kit for AM is intended to be used in introductory lessons on AM, so the novices in AM can quickly grasp the characteristics of AM and the basic terms used in AM before advancing to other AM and DfAM topics.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Work in Progress: Development of Educational Kit for Teaching Additive Manufacturing

Valjak,

Kapetanović,

Taradi

et al. 2023

Proc. Des. Soc.

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“…These are deduced e.g. in [3], [22], [23] and [24]. Deloitte and The Manufacturing Institute [25] conducted a study among US manufacturing industry, in order to reveal the future of manufacturing work.…”

Section: Learning In Education and Training Of Additive Manufacturingmentioning

confidence: 99%

Preliminary study of knowledge transfer aspect in the creation of a framework for education and training of digital manufacturing technologies

Piili,

Huusko,

Kurvinen

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Digitalization is changing the industry. As this change accelerates its speed, it also requires a transformation process where knowledge transfer between industry and research institutes play a significant role. There is a need to be more fluent, flexible, and efficient in order to get the latest research results into industrial implementation as quickly as possible. The challenge in knowledge transfer is that its speed in the current stage is too slow compared to the speed of development and changes required by digitalization of traditional manufacturing industries. The motivation for this study is the gap in knowledge transfer. One emerging digital transformation is the establishment of modern digital manufacturing technologies, e.g., additive manufacturing (AM). There are different approaches to supporting the industry in this transformation. Knowledge transfer can happen, for example, through education (e.g., master students) and industrial training, but also the fluent transfer of the latest research results from research institutes to companies is needed. University education needs to support the requirements of the manufacturing industry by providing future experts with skills to smooth the transformation process and bring novel technology applications, such as AM, to industrial-scale use. The article discusses how university education can support future competence-building in the industry. Similar needs are also present in industrial training, which universities often provide. Both education and training need to be improved from fundamental approaches to explain how this new knowledge should be created, i.e., how knowledge transfer happens most efficiently. The outcome of this article is the basis of the framework for education and training of digital manufacturing technologies by using modern learning methods and tools. More detailed pedagogical and knowledge transfer models can be developed and applied when this framework is created.

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“…Further work is needed to explore ideation from design tools and using the case study approach tailored toward various industries to understand how the difference in sectors, tools, and products influence the ideation of inexperienced designers. To date there has been comparatively little published on DfAM education, with the notable exception of works by Borgianni et al, (2019) and Prabhu et al, (2019Prabhu et al, ( , 2020) that attempted to assess the impact of DfAM knowledge on students' design ability. It is important that research should focus on not only transferring research on DfAM into appropropriate curricula but that it also accounts for different teaching styles and different design disciplines.…”

Section: The Outcomes Of Keyword Analysismentioning

confidence: 99%

A bibliometric analysis of research in design for additive manufacturing

Ugonna

Pradel

Sinclair

et al. 2022

RPJ

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Purpose The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry. Design/methodology/approach In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis. Findings The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination. Originality/value A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.

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University Education in Additive Manufacturing and the Need to Boost Design Aspects

Cited by 13 publications

References 18 publications

Work in Progress: Development of Educational Kit for Teaching Additive Manufacturing

Work in Progress: Development of Educational Kit for Teaching Additive Manufacturing

Preliminary study of knowledge transfer aspect in the creation of a framework for education and training of digital manufacturing technologies

A bibliometric analysis of research in design for additive manufacturing

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