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@PHDTHESIS{Steinert:998204,
      author       = {Steinert, Alexander},
      othercontributors = {Brecher, Christian and Ihlenfeldt, Steffen},
      title        = {{M}odellprädiktive {R}egelung aktiver {K}ühlsysteme von
                      {W}erkzeugmaschinen zur {K}ompensation thermo-elastischer
                      {V}erlagerungen; 1. {A}uflage},
      volume       = {2024,28},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {Apprimus Verlag},
      reportid     = {RWTH-2024-11198},
      series       = {Ergebnisse aus der Produktionstechnik},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Druckausgabe: 2024. - Auch veröffentlicht auf dem
                      Publikationsserver der RWTH Aachen University. - Weitere
                      Reihe: Edition Wissenschaft Apprimus. - Weitere Reihe:
                      Werkzeugmaschinen; Dissertation, RWTH Aachen University,
                      2024},
      abstract     = {In many applications, the thermoelastic behavior of machine
                      tools limits the achievable manufacturing accuracy in
                      machining. In a wide range of solutions, the compensation of
                      thermoelastically induced displacements by means of
                      demand-oriented use of active cooling systems represents a
                      promising approach. Within the scope of this work, this goal
                      is achieved by developing a model-predictive control of the
                      thermal machine behavior by adaptively setting individual
                      inlet temperatures adjusted to the actual machine
                      utilization. The core of the modelpredictive control is the
                      system model, for which a simulation model based on the
                      finite element method is transformed into a computationally
                      efficient surrogate model. Overall, the methodical approach
                      allows a significant reduction of thermoelastic
                      displacements in the operating phase.},
      cin          = {417310 / 417200},
      ddc          = {620},
      cid          = {$I:(DE-82)417310_20140620$ / $I:(DE-82)417200_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2024-11198},
      url          = {https://publications.rwth-aachen.de/record/998204},
}