TY - JOUR
T1 - Mastering manufacturing
T2 - exploring the influence of engineering designers’ prior experience when using design for additive manufacturing
AU - Prabhu, Rohan
AU - Simpson, Timothy W.
AU - Miller, Scarlett R.
AU - Meisel, Nicholas A.
N1 - Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - Additive manufacturing (AM) presents designers with unique manufacturing capabilities while imposing several limitations. Designers must leverage AM capabilities–through opportunistic design for AM (O-DfAM)–and accommodate AM limitations–through restrictive (R-) DfAM–to successfully employ AM in engineering design. This dual DfAM approach–comprising O- and R-DfAM–starkly contrasts traditional, limitation-based design for manufacturing (DfM). Therefore, designers must transition from a restrictive DfM mindset towards a ‘dual’ design mindset. Designers’ prior experience, especially with DfM could inhibit their ability to transition towards dual DfAM. On the other hand, experienced designers’ auxiliary skills (e.g. with computer-aided design) could help them implement DfAM in their solutions. However, little research has studied the influence of prior experience on DfAM use in the later design stages (i.e. embodiment and detail design), and we explore this research gap. Specifically, we conducted an experimental study comprising a task-based DfAM educational intervention with first-year student designers and upper-level student designers. Participants’ DfAM self-efficacy and their integration of DfAM in their solutions were compared between the two groups. From our results, we see that experienced designers report higher baseline self-efficacy with R-DfAM but not O-DfAM. We also see that experienced designers demonstrate a greater use of certain DfAM concepts (e.g. part and assembly complexity) in their designs. These findings suggest that introducing designers to O-DfAM early could help develop a dual design mindset; however, having more engineering experience might be necessary for them to implement DfAM into their designs.
AB - Additive manufacturing (AM) presents designers with unique manufacturing capabilities while imposing several limitations. Designers must leverage AM capabilities–through opportunistic design for AM (O-DfAM)–and accommodate AM limitations–through restrictive (R-) DfAM–to successfully employ AM in engineering design. This dual DfAM approach–comprising O- and R-DfAM–starkly contrasts traditional, limitation-based design for manufacturing (DfM). Therefore, designers must transition from a restrictive DfM mindset towards a ‘dual’ design mindset. Designers’ prior experience, especially with DfM could inhibit their ability to transition towards dual DfAM. On the other hand, experienced designers’ auxiliary skills (e.g. with computer-aided design) could help them implement DfAM in their solutions. However, little research has studied the influence of prior experience on DfAM use in the later design stages (i.e. embodiment and detail design), and we explore this research gap. Specifically, we conducted an experimental study comprising a task-based DfAM educational intervention with first-year student designers and upper-level student designers. Participants’ DfAM self-efficacy and their integration of DfAM in their solutions were compared between the two groups. From our results, we see that experienced designers report higher baseline self-efficacy with R-DfAM but not O-DfAM. We also see that experienced designers demonstrate a greater use of certain DfAM concepts (e.g. part and assembly complexity) in their designs. These findings suggest that introducing designers to O-DfAM early could help develop a dual design mindset; however, having more engineering experience might be necessary for them to implement DfAM into their designs.
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U2 - 10.1080/09544828.2022.2075222
DO - 10.1080/09544828.2022.2075222
M3 - Article
AN - SCOPUS:85130462728
SN - 0954-4828
VL - 33
SP - 366
EP - 387
JO - Journal of Engineering Design
JF - Journal of Engineering Design
IS - 5
ER -