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@ARTICLE{Mauer:906313,
      author       = {Mauer, Georg and Moreau, Christian},
      title        = {{P}rocess {D}iagnostics and {C}ontrol in {T}hermal {S}pray},
      journal      = {Journal of thermal spray technology},
      volume       = {31},
      number       = {4},
      issn         = {1059-9630},
      address      = {Boston, Mass.},
      publisher    = {Springer},
      reportid     = {FZJ-2022-01363},
      pages        = {818-828},
      year         = {2022},
      abstract     = {This perspective paper summarizes the authors’ view on
                      how process diagnostics and control can help to gain a
                      deeper insight into thermal spray processes and to better
                      understand the underlying mechanisms. The current situation
                      in terms of available process control strategies and
                      suitable sensors is described. In perspective, it is assumed
                      that with suitable models, sensors and machine learning
                      tools, it will be possible to perform a smaller number of
                      experiments to develop coatings with specific target
                      characteristics. In addition, trained machine learning tools
                      can be used to implement an efficient control strategy to
                      produce coatings with high reproducibility and reliability.
                      The corresponding existing knowledge gaps are analyzed to
                      identify needs for future research.},
      cin          = {IEK-1},
      ddc          = {670},
      cid          = {I:(DE-Juel1)IEK-1-20101013},
      pnm          = {1241 - Gas turbines (POF4-124)},
      pid          = {G:(DE-HGF)POF4-1241},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000757131300003},
      doi          = {10.1007/s11666-022-01341-z},
      url          = {https://juser.fz-juelich.de/record/906313},
}