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@PHDTHESIS{vanderVelden:998601,
      author       = {van der Velden, Tim},
      othercontributors = {Reese, Stefanie and Wulfinghoff, Stephan},
      title        = {{M}ultiphysics modeling of manufacturing and failure
                      processes},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2024-11476},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2025; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2024},
      abstract     = {The development of modern technical devices demands a
                      resource saving design for the manufacturing process in
                      conjunction with optimal device performance during the
                      application. The realization of these complex requirements
                      necessitates an integrated evaluation approach that
                      considers the manufacturing process plus the entire lifespan
                      up to the potential failure of the device. The object's
                      transfer into its digital twin allows for its numerical
                      simulation and digital analysis at arbitrary time and length
                      scales, which offer precious and experimentally hard to
                      access process insights. This cumulative dissertation may
                      provide a valuable contribution to the systemic product
                      development process and, thus, addresses the digital
                      modeling of multiphysical manufacturing and failure
                      processes based on the finite element method. The works
                      comprise the model development of an efficient modeling
                      approach for material dissolution and moving boundary value
                      problems in electrochemical machining and, for the product
                      application, the modeling and regularization of anisotropic
                      damage at finite strains. The first three articles deal with
                      the efficient modeling of the manufacturing process of
                      electrochemical machining. In the first article, a novel
                      methodology for modeling material dissolution based on
                      effective material parameters is developed that resolves the
                      fundamental issue of computationally expensive remeshing
                      during the simulation of dissolution processes of the
                      workpiece. The second article features the application of
                      effective material parameter modeling for the simulation of
                      the tool and, thereby, enables the entire process simulation
                      of the moving boundary value problem without mesh
                      adaptation. The third article extends the isotropic rules of
                      mixture for the identification of the effective material by
                      an anisotropic formulation, which is based on the
                      orientation of the electric current density. The subsequent
                      four articles cover the gradient-extended modeling of
                      anisotropic damage. In the fourth and fifth article, two
                      energy formulations, which fulfill a physical stiffness
                      reduction according to the damage growth criterion, are
                      employed to develop an efficient and universal
                      gradient-extension for inelastic processes with
                      tensor-valued internal variables. A novel
                      volumetric-deviatoric gradient-extension of the damage
                      tensor using two micromorphic degrees of freedom yields an
                      effective regularization capability to obtain mesh
                      independent results. Further structural simulations in the
                      sixth and seventh article confirm the performance of the
                      developed regularization methodologies.},
      cin          = {311510},
      ddc          = {624},
      cid          = {$I:(DE-82)311510_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2024-11476},
      url          = {https://publications.rwth-aachen.de/record/998601},
}