This research defines the basis for a new quantitative approach for retrieving useful analogies for innovation based on the relevant performance characteristics of functions. The concept of critical functionality is the idea of identifying only a certain set of pertinent design functions observed in a single domain that significantly define the functionality of the product. A critical function (CF) is a function within a functional model whose performance directly relates to a key performance parameter (KPP) of the system as a whole. These CFs will enable multiple analogies to be presented to a designer by recognizing similar functionality across distant design domains and incorporating key performance criteria. The ultimate focus of this research project is to create a performance-metric-based analogy library, called the design analogy performance parameter system (DAPPS). By focusing on a select set of “critical” functions, more design domains can be included in the database facilitating analogy retrieval founded on the qualification of KPPs.
Skip Nav Destination
Article navigation
December 2014
Research-Article
Identifying Critical Functions for Use Across Engineering Design Domains
Briana Lucero,
Briana Lucero
Department of Mechanical Engineering,
e-mail: blucero@mines.edu
Colorado School of Mines
,Golden, CO 80401
e-mail: blucero@mines.edu
Search for other works by this author on:
Vimal K. Viswanathan,
Vimal K. Viswanathan
Assistant Professor,
Department of Mechanical Engineering,
e-mail: vviswanathan@mytu.tuskegee.edu
Department of Mechanical Engineering,
Tuskegee University
,Tuskegee, AL 36088
e-mail: vviswanathan@mytu.tuskegee.edu
Search for other works by this author on:
Julie S. Linsey,
Julie S. Linsey
1
Assistant Professor,
Innovation, Design Reasoning,
Engineering Education and Methods Lab,
George W. Woodruff School
of Mechanical Engineering,
e-mail: julie.linsey@me.gatech.edu
Innovation, Design Reasoning,
Engineering Education and Methods Lab,
George W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology
,Atlanta, GA 30332
e-mail: julie.linsey@me.gatech.edu
1Corresponding author.
Search for other works by this author on:
Cameron J. Turner
Cameron J. Turner
Assistant Professor,
Department of Mechanical Engineering,
e-mail: cturner@mines.edu
Department of Mechanical Engineering,
Colorado School of Mines
,Golden, CO 80401
e-mail: cturner@mines.edu
Search for other works by this author on:
Briana Lucero
Department of Mechanical Engineering,
e-mail: blucero@mines.edu
Colorado School of Mines
,Golden, CO 80401
e-mail: blucero@mines.edu
Vimal K. Viswanathan
Assistant Professor,
Department of Mechanical Engineering,
e-mail: vviswanathan@mytu.tuskegee.edu
Department of Mechanical Engineering,
Tuskegee University
,Tuskegee, AL 36088
e-mail: vviswanathan@mytu.tuskegee.edu
Julie S. Linsey
Assistant Professor,
Innovation, Design Reasoning,
Engineering Education and Methods Lab,
George W. Woodruff School
of Mechanical Engineering,
e-mail: julie.linsey@me.gatech.edu
Innovation, Design Reasoning,
Engineering Education and Methods Lab,
George W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology
,Atlanta, GA 30332
e-mail: julie.linsey@me.gatech.edu
Cameron J. Turner
Assistant Professor,
Department of Mechanical Engineering,
e-mail: cturner@mines.edu
Department of Mechanical Engineering,
Colorado School of Mines
,Golden, CO 80401
e-mail: cturner@mines.edu
1Corresponding author.
Contributed by the Design Theory and Methodology Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received January 20, 2014; final manuscript received August 6, 2014; published online October 20, 2014. Assoc. Editor: Robert B. Stone.
J. Mech. Des. Dec 2014, 136(12): 121101 (11 pages)
Published Online: October 20, 2014
Article history
Received:
January 20, 2014
Revision Received:
August 6, 2014
Citation
Lucero, B., Viswanathan, V. K., Linsey, J. S., and Turner, C. J. (October 20, 2014). "Identifying Critical Functions for Use Across Engineering Design Domains." ASME. J. Mech. Des. December 2014; 136(12): 121101. https://doi.org/10.1115/1.4028280
Download citation file:
Get Email Alerts
Cited By
An Adaptive Two-Stage Kriging-Based Infilling Strategy for Efficient Multi-Objective Global Optimization
J. Mech. Des (November 2022)
Design and Kinematic Analysis of a Novel Deployable Antenna Mechanism for Synthetic Aperture Radar Satellites
J. Mech. Des (November 2022)
Related Articles
Articulating a Learning Objective
J. Mech. Des (July,2007)
The Effects of Language and Pruning on Function Structure Interpretability
J. Mech. Des (June,2012)
Understanding the Role of Additive Manufacturing Knowledge in Stimulating Design Innovation for Novice Designers
J. Mech. Des (February,2019)
Related Proceedings Papers
Related Chapters
Herbie's Homework Helpers
Hot Air Rises and Heat Sinks: Everything You Know about Cooling Electronics Is Wrong
Identification and Analysis of Risk
Managing Risks in Design & Construction Projects
Case Study 2: Queuing Study
Engineering Optimization: Applications, Methods, and Analysis