John Quigley
Design as a Marked Point Process
Quigley, John; Vasantha, Gokula; Corney, Jonathan; Purves, David; Sherlock, Andrew
Authors
Dr Gokula Vasantha G.Vasantha@napier.ac.uk
Associate Professor
Jonathan Corney
David Purves
Andrew Sherlock
Abstract
Although AI systems which support composition using predictive text are well established there are no analogous technologies for mechanical design. Motivated by the vision of a predictive system that interactively suggests features to designer, this paper describes the theory, implementation and assessment of an intelligent system that learns from a family of previous designs and generates inferences using a form of spatial statistics.
The formalism presented, models 3D design activity as a `Marked Point Process' that enables the probability of specific features being added at a particular locations to be calculated. Because the resulting probabilities are updated every time a new feature is added the predictions will become more accurate as a design develops. This approach allows the cursor position on a CAD model to implicitly define a spatial focus for every query made to the statistical model. The authors describe the mathematics underlying a statistical model that
amalgamates the frequency of occurrence of the features in the existing designs of a product family.
Having established the theoretical foundations of the work, a generic six step implementation process is described. This process is then illustrated for circular hole features using a statistical model generated from a dataset of hydraulic valves. The paper describes how the positions of each design's extracted hole features can be homogenized through rotation and scaling. Results suggest that within generic part families (i.e. designs with common structure) a marked point process can be effective at predicting incremental steps in the development of new designs.
Citation
Quigley, J., Vasantha, G., Corney, J., Purves, D., & Sherlock, A. (2022). Design as a Marked Point Process. Journal of Mechanical Design, 144(2), Article 021713. https://doi.org/10.1115/1.4052844
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 20, 2021 |
Online Publication Date | Dec 6, 2021 |
Publication Date | 2022-02 |
Deposit Date | Sep 3, 2021 |
Publicly Available Date | Dec 6, 2021 |
Print ISSN | 1050-0472 |
Electronic ISSN | 1528-9001 |
Publisher | American Society of Mechanical Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 144 |
Issue | 2 |
Article Number | 021713 |
DOI | https://doi.org/10.1115/1.4052844 |
Keywords | Feature based Design, Predictive Design, Marked Point Process |
Public URL | http://researchrepository.napier.ac.uk/Output/2763969 |
Publisher URL | https://asmedigitalcollection.asme.org/mechanicaldesign |
Files
Design As A Marked Point Process (accepted version)
(4.7 Mb)
PDF
You might also like
ISIR: Informed sensitised intelligent response-A PSS conceptual design framework using service characteristics
(2010)
Presentation / Conference Contribution
Understanding the knowledge needs of designers during design process in industry
(2008)
Journal Article
A framework to inform PSS Conceptual Design by using system-in-use data
(2012)
Journal Article
A review of product-service systems design methodologies
(2011)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search