Senthil Chandrasegaran, Karthik Ramani, Ram D. Sriram, Imre Horvath, Alain Bernard, Ramy Harik, Wei Gao
The evolution, challenges, and future of knowledge representation in product design systems
Computer-Aided Design Volume 45, Issue 2, February 2013, Pages 204-228.

Abstract: Product design is a highly involved, often ill-defined, complex and iterative process, and the needs and specifications of the required artifact get more refined only as the design process moves toward its goal. An eff ective computer support tool that helps the designer make better-informed decisions requires efficient knowledge representation schemes. In today’s world, there is a virtual explosion in the amount of raw data available to the designer, and knowledge representation is critical in order to sift through this data and make sense of it. In addition, the need to stay competitive has shrunk product development time through the use of simultaneous and collaborative design processes, which depend on effective transfer of knowledge between teams. Finally, the awareness that decisions made early in the design process have a higher impact in terms of energy, cost, and sustainability, has resulted in the need to project knowledge typically required in the later stages of design to the earlier stages. Research in design rationale systems, product families, systems engineering, and ontology engineering has sought to capture knowledge from earlier product design decisions, from the breakdown of product functions and associated physical features, and from customer requirements and feedback reports. VR (Virtual reality) systems and multidisciplinary modeling have enabled the simulation of scenarios in the manufacture, assembly, and use of the product. This has helped capture vital knowledge from these stages of the product life and use it in design validation and testing. While there have been considerable and significant developments in knowledge capture and representation in product design, it is useful to sometimes review our position in the area, study the evolution of research in product design, and from past and current trends, try and foresee future developments. The goal of this paper is thus to review both our understanding of the field and the support tools that exist for the purpose, and identify the trends and possible directions research can evolve in the future.

Link to file: on ScienceDirect


About Senthil Chandrasegaran

Senthil Chandrasegaran is a postdoctoral scholar in the Visualization & Interface Design Innovation (VIDI) lab at the University of California, Davis. His work focuses on aiding collaboration through the capture and display of information generated in collaborative settings. Senthil was also a postdoctoral scholar at the Human-Computer Interaction Lab at the University of Maryland, College Park from April 2016 — Aug 2017, where he worked on using visual analytics to aid qualitative analysis of data, and understanding physical and cognitive aspects of sketching during ideation. He received his Ph.D. in Mechanical Engineering from Purdue, where his work at the C Design Lab focused on understanding collaboration in the conceptual stages of design, by developing visual analytics-based techniques to make sense of multimodal design protocol data. In a past life before graduate school, he also worked in the automotive industry, specializing in interior trim design, and then in the heavy engineering industry, specializing in structural analysis and knowledge-based engineering. For more details, please visit his website [link].

Tagged with: , , , , , , , , , , , , , , ,
Posted in 2013, DESIGN METHOD, Design Representation, Karthik Ramani, Publications, Senthil Chandrasegaran, Wei Gao