Finding optimal solution principles in conceptual design
Publication date
2025-08-27
Document type
Conference paper
Organisational unit
Conference
25th International Conference on Engineering Design (ICED25) ; Dallas, TX, USA ; August 11–14, 2025
Publisher
Cambridge University Press
Series or journal
Proceedings of the Design Society
ISSN
Periodical volume
5
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Keyword
Conceptual design
Artificial intelligence
Computational design methods
Solution Principles
Function Structures
Abstract
Automating the structuring of Solution Principles within conceptual design is crucial for efficiently covering Function Structures while reducing time-intensive manual processes. Solution Principles are central in bridging functional requirements and technical implementations, yet traditional methods depend heavily on human expertise. To address this, a novel approach leveraging a search algorithm is proposed to automatically identify an optimal set of Solution Principles for a given Function Structure. The approach formalizes the problem and provides rules for the selection and application of Solution Principles. Key components include a function for applying Solution Principles to functions and a heuristic that minimizes principle selection, guiding the search toward optimal solutions. An evaluation shows the potential of this method to reduce time and effort in early product design.
Description
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Version
Published version
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