A Novel Technique to Design and Optimize Performances of Custom Load Cells for Sport Gesture Analysis |
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| Institution: | 1. Department of Engineering, Roma Tre University, Rome, Italy;2. Department of Architecture, Roma Tre University, Rome, Italy;1. Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;2. Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;1. AXO Science, Lyon, France;2. Laboratoire de bactériologie-Hygiène hospitalière, Centre Hospitalier Universitaire Grenoble-Alpes, Grenoble, France;3. TIMC-IMAG UMR 5525 - UGA CNRS, Grenoble, France;4. Université Joseph Fourrier, UVHCI (unit for viral host cell interactions), France;5. INSERM U1209, La Tronche, France;6. Institut pour l''Avancée des Biosciences, Université Grenoble-Alpes, La Tronche, France;7. UMR5075 Institut de Biologie Structurale (IBS), Fédération d''Infectiologie Multidisciplinaire de l''Arc Alpin, Université Grenoble Alpes, France;8. Laboratory of Virology, Grenoble University Hospital, Grenoble, France;9. Team “HIV and other persistent human viruses”, Institut de Biologie Structurale, UMR5075 CEA-CNRS-UGA, Grenoble, France;10. UMR5246, Univ Lyon, Université Lyon1, CNRS, INSA, CPE-Lyon, ICBMS, Villeurbanne cedex, France;1. School of Mechanical Engineering, Iran University of Science and Technology, Tehran, 16846 13114, Iran;2. Shezan Research and Innovation Centre, No. 25, Innovation 2 St., Pardis TechPark, Tehran, Iran;3. Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;1. LabTAU, INSERM, Centre Léon Bérard, Université Lyon 1, Univ Lyon, F-69003, Lyon, France;2. Laboratoire LITO, Centre de Recherche de l''Institut Curie, F-91401, Orsay, France |
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| Abstract: | BackgroundThe assessment of the force exerted during a gesture in human motion analysis can provide direct and indirect information regarding the expended energy, especially during the execution of a sport gesture. In this field, assessment and improvement of the performance can be supported by instrumented devices able to measure and process mechanical quantities. In cycling, strain gauges-based instrumented pedals represent one of the last innovations in the sector, because they can provide data about the power exerted (produced) during training and the pedal efficiency. Optimization of the strain-gauges positioning is thus required to improve accuracy in the exerted force estimation.MethodsA new technique to give a support for evaluating the best compromise between maximum sensitivity and ease of assembly was developed in the present work, based on a Finite Element Model (FEM) and a parametric analysis of the strain field at different sensor placements. Optimal positions were identified as those combining high sensitivity and low dependence from positioning inaccuracies.ResultsParametric strain-load trends obtained from the developed model show a linear behavior of strain gauges pairs and confirm that there is a good sensitivity of the adopted sensors if they are mounted in handy positions of the developed load cell.DiscussionThe conducted analysis enables to calculate the sensitivity of the load cell to the exerted forces, and evaluates its dependence to the positioning of strain gauges, and makes it possible to appropriately choose strain gauges positioning in areas where border effects are minimized. The strain distributions obtained by the FEM analysis in the presented load cells gives useful indications for all the situations where small strain gauges are requested to be mounted on a reduced offered area. |
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| Keywords: | Dynamic analysis Load cells Strain gauges FEM analysis Cycling |
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