A Novel Material Identification Method Based on Material Surface Static Electricity Discharge
Autor: | Gengchen Shi, Xi Chen, Licheng Zhu, Kai Liu, Pengfei Li |
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Rok vydání: | 2017 |
Předmět: |
material identification
lcsh:TN1-997 Surface (mathematics) Materials science chemistry.chemical_element 02 engineering and technology 01 natural sciences Standard deviation Degree (temperature) discharge properties chemistry.chemical_compound Electrical resistivity and conductivity Aluminium 0103 physical sciences Static electricity General Materials Science Composite material lcsh:Mining engineering. Metallurgy 010302 applied physics Polytetrafluoroethylene business.industry Electrical engineering static electricity Electrostatic induction 021001 nanoscience & nanotechnology chemistry 0210 nano-technology business |
Zdroj: | Medžiagotyra, Vol 23, Iss 4, Pp 404-410 (2017) |
ISSN: | 2029-7289 1392-1320 |
Popis: | In this paper, a novel material identification method is introduced based on material surface static electricity discharge. Firstly, the induced charge model between charged material and metal electrode is established. Simulation results verified that the change of induced charge was influenced by the degree of the material surface static electricity discharge. Next, the electrostatic signal acquisition system with a special structure was designed and presented. Subsequently, five typical indoor materials, aluminum, glass, paper, wood, and polytetrafluoroethylene (PTFE) were tested. The degree of discharge was defined by the discharge factor (α) and repeated experiments verified α as a stable parameter for materials with standard deviations below 4%. Moreover, α revealed good corresponding relationship with material resistivity. Consequently, the discharge factor can be regarded as a parameter for material identification and prove applicability in rapid detection as well as identification of materials.DOI: http://dx.doi.org/10.5755/j01.ms.23.4.16676 |
Databáze: | OpenAIRE |
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