Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)
Destiny R. Garcia, Barbara S. Linke, and Rida T. Farouki. Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 5:1-5:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{garcia_et_al:OASIcs.iPMVM.2020.5, author = {Garcia, Destiny R. and Linke, Barbara S. and Farouki, Rida T.}, title = {{Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature}}, booktitle = {2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)}, pages = {5:1--5:17}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-183-2}, ISSN = {2190-6807}, year = {2021}, volume = {89}, editor = {Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.5}, URN = {urn:nbn:de:0030-drops-137542}, doi = {10.4230/OASIcs.iPMVM.2020.5}, annote = {Keywords: Machining distortion, Metrology, Gaussian curvature} }
Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)
Daniel Weber, Benjamin Kirsch, Christopher R. Chighizola, Julianne E. Jonsson, Christopher R. D’Elia, Barbara S. Linke, Michael R. Hill, and Jan C. Aurich. Finite Element Simulation Combination to Predict the Distortion of Thin Walled Milled Aluminum Workpieces as a Result of Machining Induced Residual Stresses. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 11:1-11:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{weber_et_al:OASIcs.iPMVM.2020.11, author = {Weber, Daniel and Kirsch, Benjamin and Chighizola, Christopher R. and Jonsson, Julianne E. and D’Elia, Christopher R. and Linke, Barbara S. and Hill, Michael R. and Aurich, Jan C.}, title = {{Finite Element Simulation Combination to Predict the Distortion of Thin Walled Milled Aluminum Workpieces as a Result of Machining Induced Residual Stresses}}, booktitle = {2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)}, pages = {11:1--11:21}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-183-2}, ISSN = {2190-6807}, year = {2021}, volume = {89}, editor = {Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.11}, URN = {urn:nbn:de:0030-drops-137604}, doi = {10.4230/OASIcs.iPMVM.2020.11}, annote = {Keywords: Machining induced residual stresses, distortion, Finite element method simulation} }
Published in: OASIcs, Volume 19, Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop) (2011)
Christopher Weber, Stefanie Hahmann, and Hans Hagen. Methods for Feature Detection in Point Clouds. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 90-99, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
@InProceedings{weber_et_al:OASIcs.VLUDS.2010.90, author = {Weber, Christopher and Hahmann, Stefanie and Hagen, Hans}, title = {{Methods for Feature Detection in Point Clouds}}, booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)}, pages = {90--99}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-939897-29-3}, ISSN = {2190-6807}, year = {2011}, volume = {19}, editor = {Middel, Ariane and Scheler, Inga and Hagen, Hans}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2010.90}, URN = {urn:nbn:de:0030-drops-31018}, doi = {10.4230/OASIcs.VLUDS.2010.90}, annote = {Keywords: point cloud, sharp features, reconstruction, Gaussmap, clustering} }
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