Statistical process control of commercial force-sensing resistors
The manufacturing and characterization of polymer nanocomposites is an active research trend nowadays. Nonetheless, statistical studies of polymer nanocomposites are not an easy task since they require several factors to consider, such as: large amount of samples manufactured from a standardized pro...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2022-09-01
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| Series: | Metrology and Measurement Systems |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/124544/PDF/art03-01266_int.pdf |
| _version_ | 1811181842098814976 |
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| author | Carlos Andrés Palacio Gómez Leonel Paredes-Madrid Andrés Orlando Garzon |
| author_facet | Carlos Andrés Palacio Gómez Leonel Paredes-Madrid Andrés Orlando Garzon |
| author_sort | Carlos Andrés Palacio Gómez |
| collection | DOAJ |
| description | The manufacturing and characterization of polymer nanocomposites is an active research trend nowadays. Nonetheless, statistical studies of polymer nanocomposites are not an easy task since they require several factors to consider, such as: large amount of samples manufactured from a standardized procedure and specialized equipment to address characterization tests in a repeatable fashion. In this manuscript, the experimental characterization of sensitivity, hysteresis error and drift error was carried out at multiple input voltages (����) for the following commercial brands of FSRs ( force sensing resistors): Interlink FSR402 and Peratech SP200-10 sensors. The quotient between the mean and the standard deviation was used to determine dispersion in the aforementioned metrics. It was found that a low mean value in an error metric is typically accompanied by a comparatively larger dispersion, and similarly, a large mean value for a given metric resulted in lower dispersion; this observation was held for both sensor brands under the entire range of input voltages. In regard to sensitivity, both sensors showed similar dispersion in sensitivity for the whole range of input voltages. Sensors’ characterization was carried out in a tailored test bench capable of handling up to 16 sensors simultaneously; this let us speed up the characterization process. |
| first_indexed | 2024-04-11T09:22:37Z |
| format | Article |
| id | doaj.art-7673b7ce625442fab3f8bd63289feb0d |
| institution | Directory Open Access Journal |
| issn | 2300-1941 |
| language | English |
| last_indexed | 2024-04-11T09:22:37Z |
| publishDate | 2022-09-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Metrology and Measurement Systems |
| spelling | doaj.art-7673b7ce625442fab3f8bd63289feb0d2022-12-22T04:32:07ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412022-09-01vol. 29No 3469481https://doi.org/10.24425/mms.2022.142267Statistical process control of commercial force-sensing resistorsCarlos Andrés Palacio Gómez0Leonel Paredes-Madrid1Andrés Orlando Garzon2GIFAM Group, Universidad Antonio Nariño, Cra 7 No. 21-84, 150001 Tunja, Boyacá, ColombiaUniversidad Católica de Colombia, Faculty of Engineering, Carrera 13 # 47-30, Bogota, ColombiaUniversidad Católica de Colombia, Faculty of Engineering, Carrera 13 # 47-30, Bogota, ColombiaThe manufacturing and characterization of polymer nanocomposites is an active research trend nowadays. Nonetheless, statistical studies of polymer nanocomposites are not an easy task since they require several factors to consider, such as: large amount of samples manufactured from a standardized procedure and specialized equipment to address characterization tests in a repeatable fashion. In this manuscript, the experimental characterization of sensitivity, hysteresis error and drift error was carried out at multiple input voltages (����) for the following commercial brands of FSRs ( force sensing resistors): Interlink FSR402 and Peratech SP200-10 sensors. The quotient between the mean and the standard deviation was used to determine dispersion in the aforementioned metrics. It was found that a low mean value in an error metric is typically accompanied by a comparatively larger dispersion, and similarly, a large mean value for a given metric resulted in lower dispersion; this observation was held for both sensor brands under the entire range of input voltages. In regard to sensitivity, both sensors showed similar dispersion in sensitivity for the whole range of input voltages. Sensors’ characterization was carried out in a tailored test bench capable of handling up to 16 sensors simultaneously; this let us speed up the characterization process.https://journals.pan.pl/Content/124544/PDF/art03-01266_int.pdfsensing resistors (fsr)pressure sensorstatistical process controlhysteresis errordrift error |
| spellingShingle | Carlos Andrés Palacio Gómez Leonel Paredes-Madrid Andrés Orlando Garzon Statistical process control of commercial force-sensing resistors Metrology and Measurement Systems sensing resistors (fsr) pressure sensor statistical process control hysteresis error drift error |
| title | Statistical process control of commercial force-sensing resistors |
| title_full | Statistical process control of commercial force-sensing resistors |
| title_fullStr | Statistical process control of commercial force-sensing resistors |
| title_full_unstemmed | Statistical process control of commercial force-sensing resistors |
| title_short | Statistical process control of commercial force-sensing resistors |
| title_sort | statistical process control of commercial force sensing resistors |
| topic | sensing resistors (fsr) pressure sensor statistical process control hysteresis error drift error |
| url | https://journals.pan.pl/Content/124544/PDF/art03-01266_int.pdf |
| work_keys_str_mv | AT carlosandrespalaciogomez statisticalprocesscontrolofcommercialforcesensingresistors AT leonelparedesmadrid statisticalprocesscontrolofcommercialforcesensingresistors AT andresorlandogarzon statisticalprocesscontrolofcommercialforcesensingresistors |