Non-Destructive Evaluation of Container Capping Integrity Using Capacitive Proximity Sensor

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Non-Destructive Evaluation of Container Capping Integrity Using Capacitive Proximity Sensor
Title:
Non-Destructive Evaluation of Container Capping Integrity Using Capacitive Proximity Sensor
Journal Title:
2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)
Keywords:
Publication Date:
30 November 2021
Citation:
Mohan, H. K. S. V., Toh, C. H., & Malcolm, A. A. (2021). Non-Destructive Evaluation of Container Capping Integrity Using Capacitive Proximity Sensor. 2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). https://doi.org/10.1109/iementech53263.2021.9614847
Abstract:
Containers in the food and beverage industries are used to package, store and transport ingredients/products. Highspeed capping of containers causes poor/misaligned capping, which affects product quality and leads to leaks. Presently, capping integrity testing is performed either non-destructively inline (e.g. 3D imaging), or offline, using invasive methods (e.g. leak test) but such testing still has room for improvement in time, cost and accuracy. Herein, a capacitive proximity sensor - is used for capping integrity testing to detect uncapped and tilted caps based on the amount of the capping material present in the capacitive field. The sensor showed good detection speed (100 ms) and low detection limits of ~0.11 cm and 0.23 cm for contact and non-contact mode of inspection, respectively.
License type:
Publisher Copyright
Funding Info:
This research is supported by core funding from: Advanced Remanufacturing and Technology Centre (ARTC)
Grant Reference no. :
Description:
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
978-1-6654-1804-1
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