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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Sadek, Tim
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document
Recommending Engineering Knowledge in the Product Development Process with Shape Memory Technology
Abstract
Shape Memory Technology (SMT) opens up new approaches to actuators and sensors but a broad application of SMT is hindered by two major issues: First, industrial users lack the necessary knowledge to apply SMT in their products. Second, there is a lack of simplified tools for scientists to make their research findings available to industrial users more easily. Therefore, SMT-specific engineering knowledge has been collected in the “Knowledge and Method base for Shape Memory Alloys” (KandMSMA). An assistance system has been integrated into the KandMSMA which supports scientists on publishing of new content and industrial users on finding relevant content. The article at hand presents an analysis of the initial situation, which led to development of the assistance system and a description of the assistance system itself. Based on this, the article concludes with an evaluation of the usability of the assistance system and an outlook for an enhanced SMT-based product development process.