Design Optimisation of a Magnetic Field Based Soft Tactile Sensor
This paper investigates the design optimisation of a magnetic field based soft tactile sensor, comprised of a magnet and Hall effect module separated by an elastomer. The aim was to minimise sensitivity of the output force with respect to the input magnetic field; this was achieved by varying the ge...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/11/2539 |
| _version_ | 1798035283137003520 |
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| author | Gregory de Boer Nicholas Raske Hongbo Wang Junwai Kow Ali Alazmani Mazdak Ghajari Peter Culmer Robert Hewson |
| author_facet | Gregory de Boer Nicholas Raske Hongbo Wang Junwai Kow Ali Alazmani Mazdak Ghajari Peter Culmer Robert Hewson |
| author_sort | Gregory de Boer |
| collection | DOAJ |
| description | This paper investigates the design optimisation of a magnetic field based soft tactile sensor, comprised of a magnet and Hall effect module separated by an elastomer. The aim was to minimise sensitivity of the output force with respect to the input magnetic field; this was achieved by varying the geometry and material properties. Finite element simulations determined the magnetic field and structural behaviour under load. Genetic programming produced phenomenological expressions describing these responses. Optimisation studies constrained by a measurable force and stable loading conditions were conducted; these produced Pareto sets of designs from which the optimal sensor characteristics were selected. The optimisation demonstrated a compromise between sensitivity and the measurable force, a fabricated version of the optimised sensor validated the improvements made using this methodology. The approach presented can be applied in general for optimising soft tactile sensor designs over a range of applications and sensing modes. |
| first_indexed | 2024-04-11T20:56:03Z |
| format | Article |
| id | doaj.art-f21fbb22894b41cbb6e5ff6c90df17cd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:56:03Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f21fbb22894b41cbb6e5ff6c90df17cd2022-12-22T04:03:41ZengMDPI AGSensors1424-82202017-11-011711253910.3390/s17112539s17112539Design Optimisation of a Magnetic Field Based Soft Tactile SensorGregory de Boer0Nicholas Raske1Hongbo Wang2Junwai Kow3Ali Alazmani4Mazdak Ghajari5Peter Culmer6Robert Hewson7School of Mechanical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UKDepartment of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, UKCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Viale Rinaldo Piaggio 34, 56025 Pontedera, ItalySchool of Mechanical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UKSchool of Mechanical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UKDyson School of Design Engineering, Imperial College London, 10 Princes Gardens, Kensington Princes Gardens, London SW7 1NA, UKSchool of Mechanical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UKDepartment of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, UKThis paper investigates the design optimisation of a magnetic field based soft tactile sensor, comprised of a magnet and Hall effect module separated by an elastomer. The aim was to minimise sensitivity of the output force with respect to the input magnetic field; this was achieved by varying the geometry and material properties. Finite element simulations determined the magnetic field and structural behaviour under load. Genetic programming produced phenomenological expressions describing these responses. Optimisation studies constrained by a measurable force and stable loading conditions were conducted; these produced Pareto sets of designs from which the optimal sensor characteristics were selected. The optimisation demonstrated a compromise between sensitivity and the measurable force, a fabricated version of the optimised sensor validated the improvements made using this methodology. The approach presented can be applied in general for optimising soft tactile sensor designs over a range of applications and sensing modes.https://www.mdpi.com/1424-8220/17/11/2539tactile sensingsensitivityoptimisationmagnetic fieldsforce measurement |
| spellingShingle | Gregory de Boer Nicholas Raske Hongbo Wang Junwai Kow Ali Alazmani Mazdak Ghajari Peter Culmer Robert Hewson Design Optimisation of a Magnetic Field Based Soft Tactile Sensor Sensors tactile sensing sensitivity optimisation magnetic fields force measurement |
| title | Design Optimisation of a Magnetic Field Based Soft Tactile Sensor |
| title_full | Design Optimisation of a Magnetic Field Based Soft Tactile Sensor |
| title_fullStr | Design Optimisation of a Magnetic Field Based Soft Tactile Sensor |
| title_full_unstemmed | Design Optimisation of a Magnetic Field Based Soft Tactile Sensor |
| title_short | Design Optimisation of a Magnetic Field Based Soft Tactile Sensor |
| title_sort | design optimisation of a magnetic field based soft tactile sensor |
| topic | tactile sensing sensitivity optimisation magnetic fields force measurement |
| url | https://www.mdpi.com/1424-8220/17/11/2539 |
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