Design and Optimization of a MEMS-Based Piezoresistive Accelerometer: Computational Analysis of a MEMS-Based Accelerometer with Silicon Nanowire Piezoresistors for Head Injuries Monitoring - Couverture souple

Messina, Marco; Njuguna, James

 
9786202081795: Design and Optimization of a MEMS-Based Piezoresistive Accelerometer: Computational Analysis of a MEMS-Based Accelerometer with Silicon Nanowire Piezoresistors for Head Injuries Monitoring
Couverture souple
ISBN 10 : 6202081791 ISBN 13 : 9786202081795
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

This work focuses on the design improvement of a tri-axial piezoresistive accelerometer specifically designed for head injuries monitoring where medium-G impacts are common, for example in sports such as motorsport and American football. Given the particular biomedical and biomechanical application the device requires the highest sensitivity achievable with a single proof mass approach, where basically all three axes of measurements are detected with a single mass suspended by surrounding beams. Moreover, a very low error, below 1%, is expected for these type of applications where accuracy is paramount. The optimization method used is based on the progressive increment of the sensor mass moment of inertia (MMI) in all axes. The theoretical hypothesis to confirm is that an increment of MMI of the device proof mass would determine an increment of device sensitivity with a simultaneous reduction of cross-talk in the particular axis under study. The work numerically demonstrates the hypothesis validity by simulating the optimized device mechanical structures with Finite Element Method. A final optimal shape is selected as the best possible output of the optimization process.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This work focuses on the design improvement of a tri-axial piezoresistive accelerometer specifically designed for head injuries monitoring where medium-G impacts are common, for example in sports such as motorsport and American football. Given the particular biomedical and biomechanical application the device requires the highest sensitivity achievable with a single proof mass approach, where basically all three axes of measurements are detected with a single mass suspended by surrounding beams. Moreover, a very low error, below 1%, is expected for these type of applications where accuracy is paramount. The optimization method used is based on the progressive increment of the sensor mass moment of inertia (MMI) in all axes. The theoretical hypothesis to confirm is that an increment of MMI of the device proof mass would determine an increment of device sensitivity with a simultaneous reduction of cross-talk in the particular axis under study. The work numerically demonstrates the hypothesis validity by simulating the optimized device mechanical structures with Finite Element Method. A final optimal shape is selected as the best possible output of the optimization process.

Biographie de l'auteur

Dr Messina has long-standing interest in nanotechnology and MEMS design and development with a patent published at the European Patent Office in 2014. He has extensive research experience in Wireless Sensors Networks (IIoT) and structural integrity analysis projects with specialization on composite materials simulation, manufacturing and testing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6202081791
ISBN 13 
9786202081795
Reliure
Broché
Nombre de pages
324
Coordonnées du fabricant
non disponible
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