Issue |
MATEC Web Conf.
Volume 301, 2019
The 13th International Conference on Axiomatic Design (ICAD 2019)
|
|
---|---|---|
Article Number | 00011 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/matecconf/201930100011 | |
Published online | 02 December 2019 |
Building Numerical Design Matrix and Managing Functional Couplings for Concept Improvement of The Existing Product
1
Viterbi School of Engineering, University of Southern California,
Los Angeles, California
90089,
USA
2
School of Mechanical and Manufacturing Engineering, University of New South Wales,
Sydney,
NSW 2052,
Australia
* Corresponding author: chuyiwan@usc.edu
Because parametric values are unknown during initial concept generation, the Axiomatic Design Theory uses the binary design matrix (DM) to represent the coupling relationship between functional requirements and design parameters. However, given an existing product, it would be possible to employ the numerical DM that has more detailed information than the binary DM to help improve the design concept. This paper proposed a two-phase method to create a numerical DM in phase I and manage the functional couplings in phase II for concept improvement of existing product. A decomposition-definition-levelling framework and the Puritan-Bennett’s 0-1-3-9 level rating are employed to evaluate the system impact of each functional coupling to create the numerical DM of an existing design concept. The Design Coupling Sequence (DCS) approach was extended to use the numerical DM to improve this design concept. Compared with other numerical matrices for product development and the structured approach by Su et al., our method is more generic and faster, providing useful details yet still able to maintain the dominance of the high-level couplings.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.