%0 Journal Article %1 Feng_2022 %A Feng, Qi %A Maier, Walther %A Möhring, Hans-Christian %D 2022 %I Elsevier BV %J Procedia CIRP %K %P 1--8 %R 10.1016/j.procir.2022.04.001 %T Application of machine learning to optimize process parameters in fused deposition modeling of PEEK material %U https://doi.org/10.1016%2Fj.procir.2022.04.001 %V 107

@article{Feng_2022, added-at = {2023-01-16T12:40:17.000+0100}, author = {Feng, Qi and Maier, Walther and Möhring, Hans-Christian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2cf95f3380b19a9b15ba213dc98fc5b84/walthermaier}, doi = {10.1016/j.procir.2022.04.001}, interhash = {b2839a410df5932c7128faeea746cff6}, intrahash = {cf95f3380b19a9b15ba213dc98fc5b84}, journal = {Procedia {CIRP}}, keywords = {}, pages = {1--8}, publisher = {Elsevier {BV}}, timestamp = {2023-01-16T11:40:17.000+0100}, title = {Application of machine learning to optimize process parameters in fused deposition modeling of {PEEK} material}, url = {https://doi.org/10.1016%2Fj.procir.2022.04.001}, volume = 107, year = 2022 }