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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 324 pp. Englisch. Seller Inventory # 9786202081795
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Messina MarcoDr 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 (II. Seller Inventory # 385925602
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786202081795
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 324 pp. Englisch. Seller Inventory # 9786202081795
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 324 pages. 8.66x5.91x0.73 inches. In Stock. Seller Inventory # zk6202081791
Quantity: 1 available