The field of computational design synthesis has been an active area of research for almost half a century. Research advances in this field have increased the sophistication and complexity of the designs that can be synthesized, and advances in the speed and power of computers have increased the efficiency with which those designs can be generated. Some of the results of this research have begun to be used in industrial practice, yet many open issues and research challenges remain. This paper provides a model of the automated synthesis process as a context to discuss research in the area. The varied works of the authors are discussed as representative of the breadth of methods and results that exist under the field of computational design synthesis. Furthermore, some guidelines are presented to help researchers and designers find approaches to solving their particular design problems using computational design synthesis.
Skip Nav Destination
Article navigation
September 2005
Technical Papers
A Framework for Computational Design Synthesis: Model and Applications
Matthew I. Campbell,
Matthew I. Campbell
University of Texas
, Austin
Search for other works by this author on:
Susan Finger,
Susan Finger
Carnegie Mellon University
, Pittsburgh, PA
Search for other works by this author on:
Tetsuo Tomiyama
Tetsuo Tomiyama
Delft University of Technology
, The Netherlands
Search for other works by this author on:
Jonathan Cagan
Matthew I. Campbell
University of Texas
, Austin
Susan Finger
Carnegie Mellon University
, Pittsburgh, PA
Tetsuo Tomiyama
Delft University of Technology
, The NetherlandsJ. Comput. Inf. Sci. Eng. Sep 2005, 5(3): 171-181 (11 pages)
Published Online: September 1, 2005
Citation
Cagan, J., Campbell, M. I., Finger, S., and Tomiyama, T. (September 1, 2005). "A Framework for Computational Design Synthesis: Model and Applications." ASME. J. Comput. Inf. Sci. Eng. September 2005; 5(3): 171–181. https://doi.org/10.1115/1.2013289
Download citation file:
Get Email Alerts
Special Issue: Machine Learning and Representation Issues in CAD/CAM
J. Comput. Inf. Sci. Eng (January 2024)
Deep Learning in Computational Design Synthesis: A Comprehensive Review
J. Comput. Inf. Sci. Eng
Transforming Hand-Drawn Sketches of Linkage Mechanisms Into Their Digital Representation
J. Comput. Inf. Sci. Eng (January 2024)
Related Articles
A Problem Well Defined is Nearly Solved
J. Med. Devices (June,2010)
An Approach to Evaluate the Profitability of Component Commonality
J. Mech. Des (July,2017)
Cyber-Empathic Design: A Data-Driven Framework for Product Design
J. Mech. Des (September,2017)
Related Proceedings Papers
Related Chapters
Problem-Based Learning in Teaching Formal Specification
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Advances in Modular Design: Optimizing Mechanical Connections For Hi-Mix, Low-Volume Product Designs
Advances in Multidisciplinary Engineering
Getting Ready for Production
Total Quality Development: A Step by Step Guide to World Class Concurrent Engineering