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
PY - 2017/1/1
Y1 - 2017/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=85034633103&partnerID=8YFLogxK
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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 -