Prof. Dr.-Ing. Tino Hausotte



Organisation


Lehrstuhl für Fertigungsmesstechnik


Awards / Honours


2016 : Ernennung zum Gastprofessor



Project lead

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(Advanced Computed Tomography for dimensional and surface measurements in industry):
AdvanCT: Advanced Computed Tomography for dimensional and surface measurements in industry
Prof. Dr.-Ing. Tino Hausotte
(01/06/2018 - 31/05/2021)

(Traceable three-dimensional nanometrology):
3DNano: Traceable three-dimensional nanometrology
Prof. Dr.-Ing. Tino Hausotte
(01/10/2016 - 30/09/2019)

(European Training for Coordinate Metrology 4.0):
CoMeT 4.0: European Training for Coordinate Metrology 4.0
Prof. Dr.-Ing. Tino Hausotte
(01/09/2016 - 31/08/2019)

(Metrology for additively manufactured medical implants):
MetAMMI: Metrology for additively manufactured medical implants
Prof. Dr.-Ing. Tino Hausotte
(01/06/2016 - 31/05/2019)

(FOR 2271: Prozessorientiertes Toleranzmanagement mit virtuellen Absicherungsmethoden):
FORTol: Determination of the measurement uncertainty and systematic form deviations for a function-oriented tolerance assignment
Prof. Dr.-Ing. Tino Hausotte
(01/06/2016 - 31/12/2019)


Publications (Download BibTeX)

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Müller, A., & Hausotte, T. (2019). Comparison of different measures for the single point uncertainty in industrial X-ray computed tomography. In Proceedings of the 9th Conference on Industrial Computed Tomography. ​Centro Culturale Altinate San Gaetano, Padova, IT: e-Journal of Nondestructive Testing.
Butzhammer, L., & Hausotte, T. (2019). Effect of iterative sparse-view CT reconstruction with task-specific projection angles on dimensional measurements. In The e-Journal of Nondestructive Testing. Padua, IT.
Metzner, S., Reuter, T., & Hausotte, T. (2019). Evaluation on influences of thin lubricant on fringe projection measurements. In SPIE (Eds.), Optical Technology and Measurement for Industrial Applications (pp. 106 - 109). Yokohama, JP: Proceedings of SPIE.
Gröschl, A.C., Schaude, J., & Hausotte, T. (2019). Evaluation und Justierung eines neuartigen, hochfrequent fokusabstandsmodulierten, fasergekoppelten, konfokalen Punktsensors für axial geregelte Oberflächenmessungen mit einem Nanokoordinatenmessgerät. Tm-Technisches Messen, 86(4), 216-226. https://dx.doi.org/10.1515/teme-2019-0008
Müller, A., Heling, B., Schleich, B., Oberleiter, T., Willner, K., Wartzack, S., & Hausotte, T. (2019). Methoden zur Reduzierung und Berücksichtigung der Unsicherheiten von dimensionellen Messgrößen in der Toleranzanalyse. In Wartzack (Hrg.), Industriekolloquium der Forschergruppe FOR 2271 (pp. 64-73). Erlangen: Stamsried: Druck+Verlag Ernst Vögel GmbH.
Menoncin, M., Zippert, P., Hausotte, T., Sbettega, E., Carmignato, S., & Savio, E. (2019). New training concept on industrial computed tomography for dimensional metrology. Poster presentation at ICT2019 9th International Conference on industrial computed tomography, 15 February 2019 Centro Culturale Altinate San Gaetano, Padova, ITALY, IT.
Orgeldinger, C., Wohlgemuth, F., Müller, A., & Hausotte, T. (2019). Spot size and detector unsharpness determination for numerical measurement uncertainty determination. In Proceedings of the 9th Conference on Industrial Computed Tomography. Padova, IT: e-Journal of Nondestructive Testing.
Müller, A., & Hausotte, T. (2019). Utilization of single point uncertainties for geometry element regression analysis in dimensional X-ray computed tomography. In Proceedings of the 9th Conference on Industrial Computed Tomography. ​Centro Culturale Altinate San Gaetano, Padova, IT: e-Journal of Nondestructive Testing.
Stromer, D., Christlein, V., Huang, X., Zippert, P., Hausotte, T., & Maier, A. (2019). Virtual cleaning and unwrapping of non-invasively digitized soiled bamboo scrolls. Scientific Reports, 9. https://dx.doi.org/10.1038/s41598-019-39447-0
Stichel, T., Frick, T., Laumer, T., Tenner, F., Hausotte, T., Merklein, M., & Schmidt, M. (2018). A Round Robin study for selective laser sintering of polymers: Back tracing of the pore morphology to the process parameters. Journal of Materials Processing Technology, 252, 537-545. https://dx.doi.org/10.1016/j.jmatprotec.2017.10.013

Last updated on 2016-05-05 at 05:30