Integrating Design and Optimization Tools: A Designer Centered Study

Exploring design options for additively manufactured parts generally requires separate, sequentially applied software for design, analysis, and optimization. To evaluate the effect of integrating these capabilities within a single tool we conducted a controlled human subjects study. Three tools with...

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Bibliographic Details
Main Authors: Burnell, Edward Ned (Contributor), Stern, Michael (Contributor), Flooks, Ana R. (Contributor), Yang, Maria (Contributor)
Other Authors: Lincoln Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor)
Format: Article
Language:English
Published: ASME International, 2019-01-15T14:25:51Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Burnell, Edward Ned  |e author 
100 1 0 |a Lincoln Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Institute for Data, Systems, and Society  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Media Laboratory  |e contributor 
100 1 0 |a Burnell, Edward Ned  |e contributor 
100 1 0 |a Stern, Michael  |e contributor 
100 1 0 |a Flooks, Ana R.  |e contributor 
100 1 0 |a Yang, Maria  |e contributor 
700 1 0 |a Stern, Michael  |e author 
700 1 0 |a Flooks, Ana R.  |e author 
700 1 0 |a Yang, Maria  |e author 
245 0 0 |a Integrating Design and Optimization Tools: A Designer Centered Study 
260 |b ASME International,   |c 2019-01-15T14:25:51Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/120044 
520 |a Exploring design options for additively manufactured parts generally requires separate, sequentially applied software for design, analysis, and optimization. To evaluate the effect of integrating these capabilities within a single tool we conducted a controlled human subjects study. Three tools with different degrees of integration were created for two test cases of structural trusses, and it was found that increased integration improved quality, speed, and efficiency of the design process. After a quarter of their total time with the problems, 50% of designers with a fully integrated tool had a better design than 75% of other designers ever would. After that point, the top 50% of designers went on to explore a design space unreached with other tools. It appears that integration, and in particular the integration of optimization, leads to better performance by making it possible to explore complex designs and achieve outcomes which would be inaccessible to conventional tools. 
520 |a Lincoln Laboratory 
655 7 |a Article 
773 |t Volume 7: 29th International Conference on Design Theory and Methodology