Decision-Making in Additive Manufacturing – Survey on AM Experience and Expertise of Designers

Spallek, Johanna; Krause, Dieter

doi:10.1007/978-3-319-66866-6_33

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…Along with the findings of Dorrington, Bilbie, and Begum (2016) and Spallek and Krause (2018) our results demonstrate that a significant proportion of practitioners (c. 80%) have never designed end-use components for series production using AM technologies, despite having used AM for other purposes. Indeed, the proportion of designers with experience of using AM for production may be lower than identified in our sample, which risks a selfselection bias (Wright 2005) from designers who are already interested or knowledgeable in this domain.…”

Section: Experience In Designing End Use Component In Amsupporting

confidence: 85%

“…However, as a qualitative study, whilst providing some interesting insights, it was from a very small number of practitioners. Similarly, Spallek and Krause (2018) investigated engineers' knowledge of AM in the German-speaking area. The study focused on three main aspects: knowledge of AM, experience in using AM and attitudes towards AM for the production of end use components.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of design for additive manufacturing in professional design practice

Pradel

Zhu

Bibb

et al. 2018

Journal of Engineering Design

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Additive Manufacturing (AM) technologies are widely adopted in design practice for prototyping. However, the extent to which practitioners are knowledgeable and experienced in designing components for series production using AM remains poorly understood. This study presents the results of an online survey aimed at uncovering this emerging design activity, with additional evidence provided by semi-structured interviews with 18 designers. One hundred ten practising designers responded. The majority of the respondents remain sceptical about the potential for AM as a process for series production, citing cost and technical capabilities as key barriers. Only 23 reported experience in designing components for series production using AM, with the majority of these designing parts to be produced from plastic. The survey revealed that these designers have developed their own 'design rules' based primarily on personal experience. These rules, however, tended to focus on ensuring 'printability' and did not provide support for taking advantage of the unique capabilities of AM processes. The designers tended to treat AM processes as a uniform set of production processes, and so the design rules they used were generic and not directed to the capabilities of specific AM processes. ARTICLE HISTORY

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Section: Experience In Designing End Use Component In Amsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Investigation of design for additive manufacturing in professional design practice

Pradel

Zhu

Bibb

et al. 2018

Journal of Engineering Design

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“…This indicates that the DHAM may be useful in cross-cultural design situations and that significant changes to the DHAM are not needed for different cultures. Additionally, the ability to 'play' with an object may help the user of the DHAM understand the concept faster (Spallek & Krause 2017) and possibly help them retain the information longer (Golinkoff, Hirsh-Pasek, & Singer 2006). This is also supported by some of the statements in Table 7, in which the users indicate their ability to quickly recall the objects in the future through a small reminder, and in Table 5, in which some of the participants specifically mention liking to play with the objects.…”

Section: Praised Advantagesmentioning

confidence: 79%

“…In contrast to Hamraz & Clarkson (2015), who carried out the evaluation of an engineering design method with 1 engineering company and 10 engineers, we report the evaluation of the DHAM with 3 companies and 19 engineers in total. It is not the goal of this research to make quantitative statements about the use of DHAM in industrial situations, but rather to take more of a case-study approach (Yin 2014), which is typical for assessments of design methods in industry (Albers et al 2019; Bertoni & Bertoni 2019; Sjögren et al 2019; Stenholm, Catic, & Bergsjö 2019; Dordlofva & Törlind 2020). In this section, the DHAM are first briefly reviewed.…”

Section: Methodsmentioning

confidence: 99%

Industrial evaluation of design heuristics for additive manufacturing

Blösch-Paidosh

Shea

2022

Des. Sci.

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Additive manufacturing (AM) has gained prominence over the last 15 years and become a viable manufacturing option. Since there is great industrial interest to implement serial production of products using AM, the education of engineers in design for additive manufacturing (DfAM) is important today. DfAM extends on design for manufacturing to provide knowledge about the new design opportunities enabled by AM. A set of design heuristics for additive manufacturing (DHAM) to assist designers with conceptual-level DfAM has previously been proposed. In this paper, these DHAM are evaluated through workshops with 3 engineering companies and 19 engineers, in which the participants re-design existing company products for AM using the DHAM as an aid, and then give feedback. The DHAM are well received by the workshop participants, and they find that the DHAM are good for teaching others about the capabilities of AM, provide a checklist of items to consider to help avoid oversights, and encourage the generation of new ideas. Criticisms include the number of examples provided and the lack of information about how to implement the ideas concretely. It is also found that the DHAM fulfil 16 of 18 criteria for early design phase DfAM methods, identified in academic literature.

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Decision-Making in Additive Manufacturing – Survey on AM Experience and Expertise of Designers

Cited by 2 publications

References 8 publications

Investigation of design for additive manufacturing in professional design practice

Investigation of design for additive manufacturing in professional design practice

Industrial evaluation of design heuristics for additive manufacturing

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