SoftwareApplication
identifier: 10.4121/19188098
name: Models and Optimization Tools for a Novel 3D Printed Capacitive Shear Stress Sensor
description: Models and Optimization Tools for a Novel 3D Printed Capacitive Shear Stress Sensor
description: 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.
author: Person
  given name: Jens
  family name: Oprel
  name: Jens Oprel
author: Person
  given name: Gerjan
  family name: Wolterink
  name: Gerjan Wolterink
author: Person
  given name: Jurnan
  family name: Schilder
  name: Jurnan Schilder
author: https://orcid.org/0000-0001-9537-7123
keywords: Capacitive Sensor
keywords: Mechanical Modeling
keywords: Shear Stress
keywords: Printed Sensor
keywords: Capacitive Modeling
license:
  creative work: creativeWork
    name: CC-BY-4.0
reference publication: j.addma.2023.103674

https://orcid.org/0000-0001-9537-7123
type: Person
given name: Gijs
family name: Krijnen
name: Gijs Krijnen

j.addma.2023.103674
type: ScholarlyArticle
name: Novel 3D printed capacitive shear stress sensor
pagination: 103674
url: https://doi.org/10.1016%2Fj.addma.2023.103674