Static characteristic identification of printed resistive pressure sensors based on graphene
Fragment książki (Materiały konferencyjne)
MNiSW
15
WOS
| Status: | |
| Autorzy: | Bernat Małgorzata, Stryczewska Henryka, Goleman Ryszard, Giżewski Tomasz, Zaborowska-Sapeta Katarzyna, Kowalski Ireneusz, Janczak Daniel |
| Dyscypliny: | |
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| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 0,5 |
| Język: | angielski |
| Strony: | 1 - 4 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 1 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 9th International Conference ELMECO-9 " Electromagnetic Devices and Processes in Environment Protection " with 12th Seminar AoS-12 "Applications of Superconductors" |
| Skrócona nazwa konferencji: | ELMECO & AoS 2017 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 3 grudnia 2017 do 6 grudnia 2017 |
| Miasto konferencji: | Nałęczów |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The Graphene, a recently discovered allotropic carbon form, has been applied to the construction of resistive pressure sensors, and their innovation made this paper dedicated to them. The properties of allotropic carbon forms and the mechanisms of the basic carbon structures conductivity have been already described. The purpose of this study is to present a virtual environment for measuring and classification procedure of pressure sensors. This system has enabled efficient acquisition of measurement data from the sensor (resistance measurement, depending on the force that the resistive pressure sensors was loaded on). The results of sensor measurements were analyzed through basic statistical analysis. Sensor classification was made on the grounds of their similarity. |