@inproceedings{598,
  abstract     = {{The aerospace sector is characterized by long product life cycles and a need for lightweight design. Additive manufacturing is a technology that produces parts layer by layer and thus enables the manufacturing of any complex parts at nearly no extra costs. A topology optimization enhances the part’s
performance for their special purpose. The results are often complex bionic structures that cannot be produced with conventional manufacturing technologies. The paper analyzes how the high potential of this technologycan be applied to aerospace parts. A topology optimization will be conducted for an aircraft part explaining the crucial points and a life cycle analysis examines the achieved sustainable improvements for the aircraft’s life cycle.
}},
  author       = {{Huxol, Andrea and Villmer, Franz-Josef}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Padoano, Elio and Villmer, Franz-Josef}},
  isbn         = {{978-3-941645-11-0}},
  keywords     = {{Additive manufacturing, topology optimization, aerospace, life cycle costs}},
  location     = {{Trieste, Italy}},
  number       = {{1}},
  pages        = {{207--218}},
  title        = {{{Hybrid Manufacturing Machines: Combining Additive and Subtractive Manufacturing Technologies}}},
  year         = {{2015}},
}

@inbook{2394,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology}},
  isbn         = {{9781627037327}},
  issn         = {{1064-3745}},
  keywords     = {{Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach Bioinformatics Computational biotechnology Suspension Production}},
  pages        = {{355--367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}

@inbook{10214,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology - Methods and Protocols}},
  editor       = {{Pörtner, Ralf}},
  isbn         = {{978-1-62703-732-7}},
  issn         = {{1940-6029}},
  keywords     = {{Seed train, Optimization, Modeling, Prediction, Space-Time-Yield (STY), Systems approach, Bioinformatics, Computational biotechnology, Suspension, Production}},
  pages        = {{355–367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}