Visual Similarity to Aid Alternative-Use Concept Generation for Retired Wind-Turbine Blades
Autor: | Alexandra Pehlken, Klaus-D. Thoben, Elisa Kwon, L. H. Shu, Aimy Bazylak |
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Rok vydání: | 2018 |
Předmět: |
Wind power
Turbine blade Computer science business.industry Mechanical Engineering 05 social sciences 0211 other engineering and technologies 050109 social psychology 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Computer Graphics and Computer-Aided Design 01 natural sciences Computer Science Applications law.invention 0104 chemical sciences Similarity (network science) Mechanics of Materials law 0501 psychology and cognitive sciences business 0210 nano-technology 021106 design practice & management Marine engineering |
Zdroj: | Volume 7: 30th International Conference on Design Theory and Methodology. |
DOI: | 10.1115/detc2018-85670 |
Popis: | This work is motivated by finding alternative uses for retired wind-turbine blades, which have limited disposal options. Two reuse concept-generation activities (CGA) conducted in German universities revealed difficulties with the parts’ large scale and seeing beyond their original use. Existing methods, e.g., using functional analogy, are less applicable, since for safety reasons, these parts should not be reused in the same function. Therefore, this work explores the use of visual similarity to support reuse-concept generation. A method was developed that 1) finds visually similar images (VSI) for wind-turbine-blade photos; and 2) derives potential-reuse concepts based on objects that are visually similar to wind-turbine blades in these images. Comparing reuse concepts generated from the two methods, VSI produced fewer smaller-than-scale concepts than CGA. While other qualities like feasibility depend on the specific photo selected, this work provides a new framework to exploit visual similarity to find alternative uses. As demonstrated for wind-turbine blades, this method aids in generating alternative-use concepts, especially for large-scale objects. |
Databáze: | OpenAIRE |
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