%0 Journal Article %1 perugini2023efficient %A Perugini, C. %A Riccio, U. %A Torluccio, A. %A Mohr, R. %A Blumrich, R. %A Wagner, A. %D 2023 %J SAE Technical Paper 2023-01-1120 %K BE3 FKFS IFS Kfz %T An Efficient Hybrid Computational Process for Interior Noise Prediction in Aeroacoustic Vehicle Development %@ https://doi.org/10.4271/2023-01-1120

@article{perugini2023efficient, added-at = {2023-06-28T15:59:18.000+0200}, author = {Perugini, C. and Riccio, U. and Torluccio, A. and Mohr, R. and Blumrich, R. and Wagner, A.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29a2695b184fa34a3dd9d8ba076705d7f/puma_ifs}, institution = {FKFS und IFS (Kfz)}, interhash = {04185772d8a0846dcf3a0a5ac5d423c6}, intrahash = {9a2695b184fa34a3dd9d8ba076705d7f}, isbn = {https://doi.org/10.4271/2023-01-1120}, journal = {SAE Technical Paper 2023-01-1120}, keywords = {BE3 FKFS IFS Kfz}, organization = {Fahrzeugakustik und -schwingungen}, timestamp = {2023-06-28T15:59:18.000+0200}, title = {An Efficient Hybrid Computational Process for Interior Noise Prediction in Aeroacoustic Vehicle Development}, uid = {1064}, year = 2023 }