A framework for visualization-driven eco-conscious design exploration

by | Jul 17, 2015

Authors: Devarajan Ramanujan, William Z. Bernstein, William Benjamin, Karthik Ramani, Niklas Elmqvist, Devadatta Kulkarni, Jeffrey Tew
Journal of Computing and Information Science in Engineering. 2015 Dec 1;15(4):041010.

A large portion of design activity involves applying previous design knowledge in order to solve new problems. Therefore, facilitating eco-conscious exploration of archived designs is needed for advancing sustainable product design. It is thus necessary to create integrated exploration tools that share common data representations for design and sustainability-related product metadata. This can allow designers to observe covariations in design data and develop engineering intuition with regards to environmental sustainability performance. In this work, we present a framework for relating sustainability and product metadata using taxonomy-based representations of lifecycle data. This facilitates simultaneous visualization of environmental indicators along with part similarities. To demonstrate this framework, we implement shapeSIFT, an interactive multidimensional visualization tool for eco-conscious design exploration. shapeSIFT uses a visual analytics-based approach to represent part metadata and environmental indicators. This facilitates query-based dynamic exploration of part repositories.

Accepted for publication in Journal of Computing and Information Science in Engineering.


Dev Ramanujan

Dev Ramanujan

Dev is starting as an Assistant Professor - Design Research at Aarhus University this in Fall 2017. He was a Postdoctoral Associate in the Global Engineering and Research Lab at the Massachusetts Institute of Technology from Feb 2016 - June 2017. He received his PhD in Dec 2015 from the School of Mechanical Engineering at Purdue. His research work in the C Design Lab focused on data representation and visualization models for supporting environmentally conscious product design. He has co-authored publications in the Journal of Mechanical Design, Journal of Computing and Information Science, Computer-Aided Design, Association for Computing Machinery Conference on Human Factors in Computing Systems, and the American Society of Mechanical Engineering International Design Engineering Technical Conferences. He has received the American Society of Mechanical Engineering Design for Manufacturing and the Lifecycle Scholar Development Award in 2014, and the Estus H. and Vashti L. Magoon Award for Teaching Excellence in 2015.  [Linked In Profile] [Personal Web Page]