Kamarudin, K.M., Ridgway, K. and Hassan, M.R. (2016) Modelling Constraints in the Conceptual Design Process with TRIZ and F3. In: Procedia CIRP. Structured Innovation with TRIZ in Science and Industry: Creating Value for Customers and Society, 26-29 Oct 2015, Berlin, Germany. Elsevier , pp. 3-8.
Abstract
Constraint stimulates creativity and is the key to understanding complexity. The benefit of the constraint-based problem is that it can spark ideas for new knowledge, new possibilities, and new opportunities. In every design, boundaries, controls and restraints exist. The constraint model in this paper shows the relationship among Form-Fit-Function (F3), Functional Analysis Model (FAM) and Su-Field. The constraint-based techniques improve problem solving in the preliminary design and satisfy ideal conceptual design. Constraints lift and improve creativity by reframing problems in a creative way. The best way to visualize constraints is by adopting design parameters and embedding them in the conceptual design stage, and continuously diagnosing them to ensure that the design does not violate the constraint requirements. This paper aims to model design constraints as a criterion for generating creative ideas and solutions, and suggest as a systematic entity in the conceptual design process. The model will be useful as a guide for developing an understanding of constraints in the conceptual design process.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Authors. Published by Elsevier B.V. Article available under the terms of the CC BY-NC-ND 4.0 licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Constraints; modelling; F3; conceptual design; TRIZ |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Apr 2018 09:30 |
Last Modified: | 19 Apr 2018 09:30 |
Published Version: | https://doi.org/10.1016/j.procir.2016.01.034 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.procir.2016.01.034 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129611 |