Automation of Piezoresistive Properties Measurements of New Composite Materials

Automation of Piezoresistive Properties Measurements of New Composite Materials

The development of new functional materials for electronics is associated with a large number of experimental studies, often routine, aimed at determining the performance characteristics and properties of such materials. And in order to accelerate such researches, process automation is required. The...

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Bibliographic Details
Published in:2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials (EDM) pp. 624 - 627
Main Authors: Kumarbaev, Ruslan S., Fedorov, Andrey A., Ermakov, Vladimir A., Kolodina, Valeriia A., Nikulin, Andrei V., Kuznetsov, Vitalii A.
Format: Conference Proceeding
Language:English
Published: IEEE 30-06-2022
Subjects:
Automation
automatization
Composite materials
Loading
measurement instrumentation
piezoresistive effect
polybenzimidazole
polymer composite materials
Polymers
sensor
Software measurement
stepper motor
strain gauge
Strain measurement
Velocity measurement
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Summary:The development of new functional materials for electronics is associated with a large number of experimental studies, often routine, aimed at determining the performance characteristics and properties of such materials. And in order to accelerate such researches, process automation is required. The article describes a method for automating an experimental setup for studying the piezoresistive effect in film polymer composite materials with a large number of loading cycles of the compression-tension type. The program was written in Python and Arduino C (based on C++). Due to the large open Python community and many libraries, it was possible to develop an experimental installation application with various functionality. The results of automation were verified by measuring strain-sensing properties of polymer composite based on polybenzimidazole matrix with few-layered graphene. The program allows to conduct any multi-day experiment with slow measurement loading cycles and fast intermediate (up to 10 7 and even more) ones, which speeds up researches.
ISSN:2325-419X
DOI:10.1109/EDM55285.2022.9855166