In cycling the use of instrumented devices to measure mechanical quantities can give a great support to the assessment and the improvement of the performance. Among different devices and technologies adopted, instrumented pedals based on strain gauges represent one of the last innovations in the sector, used to determine both the level of power in training and the pedal efficiency. The accuracy of these instruments is strictly dependent on the strain gauges positioning on custom load cells. In the present work a new technique, based on a simulation of the strain field at different sensor placements, was developed, to give a support for evaluating the best compromise between maximum sensitivity and ease of assembly. The proposed method can be easily applied to a wide range of force sensors, especially the ones where the available area to fix sensors is reduced and strain gauges adopted are very small, thus guaranteeing a reduction of mounting errors and increasing the quality of the final product.

Bibbo, D., Gabriele, S., Scorza, A., Schmid, M., Sciuto, S.A., & Conforto, S. (2018). Strain gauges position optimization in designing custom load cells for sport gesture analysis. In 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018 (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/HealthCom.2018.8531106].

Strain gauges position optimization in designing custom load cells for sport gesture analysis

Bibbo, Daniele
;
Gabriele, Stefano;Scorza, Andrea;Schmid, Maurizio;Sciuto, Salvatore Andrea;Conforto, Silvia
2018

Abstract

In cycling the use of instrumented devices to measure mechanical quantities can give a great support to the assessment and the improvement of the performance. Among different devices and technologies adopted, instrumented pedals based on strain gauges represent one of the last innovations in the sector, used to determine both the level of power in training and the pedal efficiency. The accuracy of these instruments is strictly dependent on the strain gauges positioning on custom load cells. In the present work a new technique, based on a simulation of the strain field at different sensor placements, was developed, to give a support for evaluating the best compromise between maximum sensitivity and ease of assembly. The proposed method can be easily applied to a wide range of force sensors, especially the ones where the available area to fix sensors is reduced and strain gauges adopted are very small, thus guaranteeing a reduction of mounting errors and increasing the quality of the final product.
9781538642948
Bibbo, D., Gabriele, S., Scorza, A., Schmid, M., Sciuto, S.A., & Conforto, S. (2018). Strain gauges position optimization in designing custom load cells for sport gesture analysis. In 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018 (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/HealthCom.2018.8531106].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/345032
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