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Design to Production Workshop: DCA Conference

03

i.M.A.D.E conducted a workshop entitled “The Design to Production Feedback Loop” at  the Design Communication Association 2007 Conference. Click here for the event website.

Workshop participants met in the dFAB facility (i.M.A.D.E’s production laboratory) to engage with paramteric models in GenerativeComponents software and digital fabrication equipment–specifically laser cutters and a 3d printer.  The workshop was framed around complexity of information generated in process-based digital practices and the need to effectively manage and exchange information.

Innovative representational devices and fabrication techniques were introduced such as matricing, sectioning, layering, bracketing, nesting, scanning, printing, and other new forms of organizing, visualizing, analyzing, and simulating complex design data. Applying these techniques, workshop participants (including conference registratns and design students) designed, optimized, and fabricated prototypes which were seen as process-based products resulting from a design to production feedback loop.

 

 

 

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15 July 2009 | Archives, Courses

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i.M.A.D.E INFO
i.M.A.D.E acts as a catalyst of digital design and fabrication techniques for both industry and education related to architecture and allied arts. Through immersive projects deploying interdisciplinary, applied design and fabrication research, the institute is a conduit between students, design professionals, and the manufacturing sector.
As an institute within Ball State University, i.M.A.D.E supports curricular components offering expertise with state-of -the-art software and devices using simulation, analysis, fabrication, and a rigorous examination of the craft inherent in digital design and production. With strategic industry partners, students test knowledge through team-based projects dealing with the translation of bits into atoms, shifting scales between models, prototypes, 1:1 construction, and the development of solutions to real problems by managing a complex set of design constraints.
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