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    Item type:Publication, Access status: without files ,
    An optical curvature sensor for soft robots
    (Springer, 2022)
    Grube, Malte
    ;
    Seifried, Robert
    For precise control of soft robots soft sensors are required to measure the current configuration of the robot. In this contribution a new simple, accurate and easy to fabricate soft optical curvature sensors is presented. The optical sensor is based on the light loss along several polymer optical cable (POF) pieces which are lined up. This includes presentation of design, fabrication, performance evaluation and integration in a simple soft robot segment.
    Publicationtype: Conference Paper
      144
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    Item type:Publication, Access status: without files ,
    Adaptive Integration of Cut Finite Elements and Cells for Nonlinear Structural Analysis
    (Springer, 2020-02-09)
    Düster, Alexander
    ;
    Hubrich, Simeon
    Fictitious domain methods facilitate the discretization of boundary value problems by applying simple meshes containing finite elements or cells that do not conform to the geometry of the domain of interest. In this way, the effort of meshing complex domains is shifted to the numerical integration of those elements/cells that are cut by the boundary of the domain. In this chapter, we will first introduce a high-order fictitious domain method and then present adaptive methods that are suited for the numerical integration of broken elements and cells. Since the quadrature schemes presented in this chapter are quite general, they can be applied to the different versions of fictitious domain methods.
    Publicationtype: Book Part
      137
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    Item type:Publication, Access status: without files ,
    Multiple scales methods in meteorology
    (Springer, 2010)
    Klein, Rupert
    ;
    Vater, Stefan
    ;
    Päschke, Eileen
    ;
    Ruprecht, Daniel
    With emphasis on meteorological applications, we discuss here the fluid dynamical fundamental governing equations, their nondimensionalization including the identification of key nondimensional parameters, and a general approach to meteorological modelling based on multiple scales asymptotics.
    Publicationtype: Conference Paper
      76