The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19188098

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

Software

• Medical Biotechnology
• Other Health
• Other Manufacturing
• Interdisciplinary Engineering
• Engineering
• Manufacturing
• Health
• Technology

Capacitive Modeling, Capacitive Sensor, Mechanical Modeling, Printed Sensor, Shear Stress

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jens Oprel , Gerjan Wolterink , Jurnan Schilder , Gijs Krijnen

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.

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

4TU.ResearchData

*.m, *.stl, *mph

Novel 3D printed Capacitive Shear Force Sensor

• 4TU Dutch Soft Robotics Consortium

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