Models and Optimization Tools for a Novel 3D Printed Capacitive Shear Stress Sensor

DOI:10.4121/19188098.v1
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DOI: 10.4121/19188098

Datacite citation style

Oprel, Jens; Wolterink, Gerjan; Schilder, Jurnan; Krijnen, Gijs (2023): Models and Optimization Tools for a Novel 3D Printed Capacitive Shear Stress Sensor. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/19188098.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

These files contain the models and optimization tools for study and development of a 3D-printed capacitive shear stress sensor. This research is described in our research paper:

Oprel, J., Wolterink, G., Schilder, J., Krijnen, G. (2023). Novel 3D Printed

Capacitive Shear Stress Sensor. Journal of Additive Manufacturing.

doi: 10.1016/j.addma.2023.103674

The models are used to study the electrical and the mechanical behavior of printed sensing structures. The main models are made using Matlab. Additionally, Finite Element (FE) models are used to verify these results. This is done using Comsol Multiphysics, which is controlled from a Matlab environment using 'Comsol livelink for Matlab'. The models are integrated in an optimization tool, in the form of a Matlab App.

History

  • 2023-07-04 first online, published, posted

Publisher

4TU.ResearchData

Format

*.m, *.stl, *mph

Associated peer-reviewed publication

Novel 3D printed Capacitive Shear Force Sensor

Funding

  • 4TU Dutch Soft Robotics Consortium

Organizations

University of Twente, Faculty of Electrical Engineering, Mathematics & Computer Science;
University of Twente, Faculty of Engineering Technology;
University of Twente, Faculty of Science and Technology

DATA

Files (35)