TY - GEN
T1 - An investigation into the driving factors of creativity in design for additive manufacturing
AU - Barclift, Michael
AU - Simpson, Timothy William
AU - Nusiner, Maria Alessandra
AU - Miller, Scarlett Rae
N1 - Funding Information:
The authors would like to recognize Sven Bilén, Charlie Cox, Sanjay Joshi, and Nicholas Meisel for their assistance in organizing this study. We would also like to recognize Daniel Tanney and members of the Penn State 3D-Printing Club for their technical support. This work was supported in part by the National Science Foundation under Grants CMMI-1351493 and CMMI-1546985. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the US National Science Foundation
Funding Information:
Between 2010 and 2015, the demand for skilled labor in Additive Manufacturing (AM) grew by 1,834% [1]. Despite recent interest, however, industry’s recruitment of a trained AM workforce has been barred by engineer’s being “unfamiliar” [2] with AM technologies along with widespread talent shortages across all of manufacturing in the U.S. [3]. To address this gap, universities and companies have collaborated to define strategic roadmaps and outreach programs to improve AM competency. In particular, a workshop was sponsored by the National Science Foundation to identify and address the educational needs for the
Publisher Copyright:
© 2017 ASME.
PY - 2017
Y1 - 2017
N2 - Additive manufacturing (AM) provides engineers with nearly unlimited design freedom, but how much do they take advantage of that freedom? The objective is to understand what factors influence a designer's creativity and performance in Design for Additive Manufacturing (DFAM). Inspired by the popular Marshmallow Challenge, this exploratory study proposes a framework in which participants apply their DFAM skills in sketching, CAD modeling, 3D-Printing, and a part testing task. Risk attitudes are assessed through the Engineering Domain-Specific Risk-Taking (E-DOSPERT) scale, and prior experiences are captured by a self-report skills survey. Multiple regression analysis found that the average novelty of the participant's ideas, engineering degree program, and risk seeking preference were statistically significant when predicting the performance of their ideas in AM. This study provides a common framework for AM educators to assess students' understanding and creativity in DFAM, while also identifying student risk attitudes when conducting an engineering design task.
AB - Additive manufacturing (AM) provides engineers with nearly unlimited design freedom, but how much do they take advantage of that freedom? The objective is to understand what factors influence a designer's creativity and performance in Design for Additive Manufacturing (DFAM). Inspired by the popular Marshmallow Challenge, this exploratory study proposes a framework in which participants apply their DFAM skills in sketching, CAD modeling, 3D-Printing, and a part testing task. Risk attitudes are assessed through the Engineering Domain-Specific Risk-Taking (E-DOSPERT) scale, and prior experiences are captured by a self-report skills survey. Multiple regression analysis found that the average novelty of the participant's ideas, engineering degree program, and risk seeking preference were statistically significant when predicting the performance of their ideas in AM. This study provides a common framework for AM educators to assess students' understanding and creativity in DFAM, while also identifying student risk attitudes when conducting an engineering design task.
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U2 - 10.1115/DETC2017-68395
DO - 10.1115/DETC2017-68395
M3 - Conference contribution
AN - SCOPUS:85034633103
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 19th International Conference on Advanced Vehicle Technologies; 14th International Conference on Design Education; 10th Frontiers in Biomedical Devices
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Y2 - 6 August 2017 through 9 August 2017
ER -