PUMA publications for /tag/Flowhttps://puma.ub.uni-stuttgart.de/tag/FlowPUMA RSS feed for /tag/Flow2024-03-28T23:22:00+01:00System Dynamic Models and Real-time Simulation of Complex Material
Flow Systemshttps://puma.ub.uni-stuttgart.de/bibtex/23cb83562fd4a436e376d28712fe58a37/mhartmannmhartmann2018-07-20T10:54:15+02:00simulation; Real-time models system; Material dynamic vorlaeufig flow System <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Hoher" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/0"><span itemprop="name">S. Hoher</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Schindler" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/1"><span itemprop="name">P. Schindler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. G?ttlich" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/2"><span itemprop="name">S. G?ttlich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="V. Schleper" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/3"><span itemprop="name">V. Schleper</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Röck" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/4"><span itemprop="name">S. Röck</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Enabling Manufacturing Competitiveness and Economic Sustainability</span>, </em><em><span itemprop="publisher">Springer Berlin Heidelberg</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:15 CEST 2018Enabling Manufacturing Competitiveness and Economic Sustainability316-321System Dynamic Models and Real-time Simulation of Complex Material
Flow Systems2012simulation; Real-time models system; Material dynamic vorlaeufig flow System System Dynamic Models and Real-time Simulation of Complex Material
Flow Systemshttps://puma.ub.uni-stuttgart.de/bibtex/23cb83562fd4a436e376d28712fe58a37/mathematikmathematik2018-07-20T10:55:13+02:00simulation; Real-time models from:mhartmann system; Material dynamic vorlaeufig ians flow System <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Hoher" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/0"><span itemprop="name">S. Hoher</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Schindler" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/1"><span itemprop="name">P. Schindler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. G?ttlich" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/2"><span itemprop="name">S. G?ttlich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="V. Schleper" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/3"><span itemprop="name">V. Schleper</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Röck" itemprop="url" href="/person/1f49a945ea15206c6cd60d4db77a8d5a5/author/4"><span itemprop="name">S. Röck</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Enabling Manufacturing Competitiveness and Economic Sustainability</span>, </em><em><span itemprop="publisher">Springer Berlin Heidelberg</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:55:13 CEST 2018Enabling Manufacturing Competitiveness and Economic Sustainability316-321System Dynamic Models and Real-time Simulation of Complex Material
Flow Systems2012simulation; Real-time models from:mhartmann system; Material dynamic vorlaeufig ians flow System Stochastic Modeling for Heterogeneous Two-Phase Flowhttps://puma.ub.uni-stuttgart.de/bibtex/23886d742461971b380dfbfdfbab7f0bc/mhartmannmhartmann2018-07-20T10:54:15+02:00volume in method finite media; stochastic porous Flow vorlaeufig Hybrid Galerkin <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Köppel" itemprop="url" href="/person/19edc4b7e189ef751cf0e8c97b22240ef/author/0"><span itemprop="name">M. Köppel</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Kröker" itemprop="url" href="/person/19edc4b7e189ef751cf0e8c97b22240ef/author/1"><span itemprop="name">I. Kröker</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Rohde" itemprop="url" href="/person/19edc4b7e189ef751cf0e8c97b22240ef/author/2"><span itemprop="name">C. Rohde</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Finite Volumes for Complex Applications VII-Methods and Theoretical
Aspects</span>, </em><em>volume 77 of Springer Proceedings in Mathematics & Statistics, </em><em><span itemprop="publisher">Springer International Publishing</span>, </em></span>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:15 CEST 2018Finite Volumes for Complex Applications VII-Methods and Theoretical
Aspects353-361Springer Proceedings in Mathematics \& StatisticsStochastic Modeling for Heterogeneous Two-Phase Flow772014volume in method finite media; stochastic porous Flow vorlaeufig Hybrid Galerkin Stochastic Modeling for Heterogeneous Two-Phase Flowhttps://puma.ub.uni-stuttgart.de/bibtex/23886d742461971b380dfbfdfbab7f0bc/mathematikmathematik2018-07-20T10:55:08+02:00in method finite media; porous Flow ians Hybrid Galerkin from:mhartmann volume stochastic vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Köppel" itemprop="url" href="/person/19edc4b7e189ef751cf0e8c97b22240ef/author/0"><span itemprop="name">M. Köppel</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. Kröker" itemprop="url" href="/person/19edc4b7e189ef751cf0e8c97b22240ef/author/1"><span itemprop="name">I. Kröker</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Rohde" itemprop="url" href="/person/19edc4b7e189ef751cf0e8c97b22240ef/author/2"><span itemprop="name">C. Rohde</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Finite Volumes for Complex Applications VII-Methods and Theoretical
Aspects</span>, </em><em>volume 77 of Springer Proceedings in Mathematics & Statistics, </em><em><span itemprop="publisher">Springer International Publishing</span>, </em></span>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:55:08 CEST 2018Finite Volumes for Complex Applications VII-Methods and Theoretical
Aspects353-361Springer Proceedings in Mathematics \& StatisticsStochastic Modeling for Heterogeneous Two-Phase Flow772014in method finite media; porous Flow ians Hybrid Galerkin from:mhartmann volume stochastic vorlaeufig Reduced finite-volume model for the fast numerical calculation of the fluid flow in the melt pool in laser beam weldinghttps://puma.ub.uni-stuttgart.de/bibtex/2b1cca35b5b2200e96f6ef369e6823bd9/ifswifsw2022-03-03T08:57:45+01:00myown welding laser peer finite-volume from:jonaswagner fluid flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jonas Wagner" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/0"><span itemprop="name">J. Wagner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peter Berger" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/1"><span itemprop="name">P. Berger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philipp He" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/2"><span itemprop="name">P. He</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Florian Fetzer" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/3"><span itemprop="name">F. Fetzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rudolf Weber" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/4"><span itemprop="name">R. Weber</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Graf" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/5"><span itemprop="name">T. Graf</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IOP conference series: Materials Science and Engineering</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">1135 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">012010</span></em> </span>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Thu Mar 03 08:57:45 CET 2022IOP conference series: Materials Science and Engineering1012010Reduced finite-volume model for the fast numerical calculation of the fluid flow in the melt pool in laser beam welding11352021myown welding laser peer finite-volume from:jonaswagner fluid flow Reduced finite-volume model for the fast numerical calculation of the fluid flow in the melt pool in laser beam weldinghttps://puma.ub.uni-stuttgart.de/bibtex/29af9bc8ce7effefec362d25ae2885468/ifswifsw2023-04-06T05:20:08+02:00myown welding laser peer finite-volume from:jonaswagner fluid flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jonas Wagner" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/0"><span itemprop="name">J. Wagner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peter Berger" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/1"><span itemprop="name">P. Berger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philipp He" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/2"><span itemprop="name">P. He</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Florian Fetzer" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/3"><span itemprop="name">F. Fetzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rudolf Weber" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/4"><span itemprop="name">R. Weber</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Graf" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/5"><span itemprop="name">T. Graf</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"></span><em> 1135, </em><em>page <span itemprop="pagination">012010</span>. </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Thu Apr 06 05:20:08 CEST 2023IOP conference series: Materials Science and Engineering1012010Reduced finite-volume model for the fast numerical calculation of the fluid flow in the melt pool in laser beam welding11352021myown welding laser peer finite-volume from:jonaswagner fluid flow Reduced finite-volume model for the fast numerical calculation of the fluid flow in the melt pool in laser beam weldinghttps://puma.ub.uni-stuttgart.de/bibtex/29af9bc8ce7effefec362d25ae2885468/jonaswagnerjonaswagner2022-03-03T08:59:21+01:00myown welding laser peer finite-volume fluid flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jonas Wagner" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/0"><span itemprop="name">J. Wagner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peter Berger" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/1"><span itemprop="name">P. Berger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philipp He" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/2"><span itemprop="name">P. He</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Florian Fetzer" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/3"><span itemprop="name">F. Fetzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rudolf Weber" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/4"><span itemprop="name">R. Weber</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Graf" itemprop="url" href="/person/1a2fa17895fdf6a26bdb34fdea176f82c/author/5"><span itemprop="name">T. Graf</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"></span><em> 1135, </em><em>page <span itemprop="pagination">012010</span>. </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Thu Mar 03 08:59:21 CET 2022IOP conference series: Materials Science and Engineering1012010Reduced finite-volume model for the fast numerical calculation of the fluid flow in the melt pool in laser beam welding11352021myown welding laser peer finite-volume fluid flow Probabilistische Lastmodellierung von Haushaltslastenhttps://puma.ub.uni-stuttgart.de/bibtex/20d089cef182ae930b101df39044a9a0c/annettegugelannettegugel2020-05-18T14:12:20+02:00Load modeling Probability engineering density consumption distribution demand estimation computing function Parameter Energy flow Power <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Georg Kayser" itemprop="url" href="/person/1d4704a7a29c88887a2bf7b06c2c558e1/author/0"><span itemprop="name">G. Kayser</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Probst" itemprop="url" href="/person/1d4704a7a29c88887a2bf7b06c2c558e1/author/1"><span itemprop="name">A. Probst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Braun" itemprop="url" href="/person/1d4704a7a29c88887a2bf7b06c2c558e1/author/2"><span itemprop="name">M. Braun</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefan Tenbohlen" itemprop="url" href="/person/1d4704a7a29c88887a2bf7b06c2c558e1/author/3"><span itemprop="name">S. Tenbohlen</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>Mon May 18 14:12:20 CEST 2020Probabilistische Lastmodellierung von Haushaltslasten2012Load modeling Probability engineering density consumption distribution demand estimation computing function Parameter Energy flow Power Prediction of the Oil Flow Distribution in Oil-immersed Transformer Windings by
Network Modelling and CFDhttps://puma.ub.uni-stuttgart.de/bibtex/242843ca5eb4e733f03adbe0544f79d57/annettegugelannettegugel2020-06-15T15:50:05+02:00Oil Distribution CFD Transformer Windings Network Modelling Oil-immersed Flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Weinläder" itemprop="url" href="/person/177d88e667635065f9f5c0c81f133d36c/author/0"><span itemprop="name">A. Weinläder</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="W. Wu" itemprop="url" href="/person/177d88e667635065f9f5c0c81f133d36c/author/1"><span itemprop="name">W. Wu</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefan Tenbohlen" itemprop="url" href="/person/177d88e667635065f9f5c0c81f133d36c/author/2"><span itemprop="name">S. Tenbohlen</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Z. Wang" itemprop="url" href="/person/177d88e667635065f9f5c0c81f133d36c/author/3"><span itemprop="name">Z. Wang</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IET Electric Power Applications</span>, </em> </span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)</span>Mon Jun 15 15:50:05 CEST 2020IET Electric Power ApplicationsPrediction of the Oil Flow Distribution in Oil-immersed Transformer Windings by
Network Modelling and CFD2011Oil Distribution CFD Transformer Windings Network Modelling Oil-immersed Flow Prediction of the Oil Flow and Temperature Distribution in Power Transformers by
CFDhttps://puma.ub.uni-stuttgart.de/bibtex/235a9e5873c798f734d49f74116c5978f/annettegugelannettegugel2020-06-23T15:35:53+02:00Oil Distribution CFD Temperature Transformers Flow Power <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Weinläder" itemprop="url" href="/person/117bdadaed9e1e6dae1d8e98fb14f72eb/author/0"><span itemprop="name">A. Weinläder</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefan Tenbohlen" itemprop="url" href="/person/117bdadaed9e1e6dae1d8e98fb14f72eb/author/1"><span itemprop="name">S. Tenbohlen</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Wittmaack" itemprop="url" href="/person/117bdadaed9e1e6dae1d8e98fb14f72eb/author/2"><span itemprop="name">R. Wittmaack</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)</span>Tue Jun 23 15:35:53 CEST 2020Prediction of the Oil Flow and Temperature Distribution in Power Transformers by
CFD2010Oil Distribution CFD Temperature Transformers Flow Power Optical and Numerical Investigation of Oil Flow Velocities Inside a Zigzag Cooled Winding Modelhttps://puma.ub.uni-stuttgart.de/bibtex/2cac2d630262210194396d9650594dc76/annettegugelannettegugel2019-11-12T16:11:56+01:00Oil Velocities Flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefan Tenbohlen" itemprop="url" href="/person/177399962ecc5f5ecb10b0f9756f93da5/author/0"><span itemprop="name">S. Tenbohlen</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nicolas Schmidt" itemprop="url" href="/person/177399962ecc5f5ecb10b0f9756f93da5/author/1"><span itemprop="name">N. Schmidt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Breuer" itemprop="url" href="/person/177399962ecc5f5ecb10b0f9756f93da5/author/2"><span itemprop="name">C. Breuer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Saeed Khandan" itemprop="url" href="/person/177399962ecc5f5ecb10b0f9756f93da5/author/3"><span itemprop="name">S. Khandan</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Lebreton" itemprop="url" href="/person/177399962ecc5f5ecb10b0f9756f93da5/author/4"><span itemprop="name">R. Lebreton</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2016<meta content="2016" itemprop="datePublished"/></span></em>)</span>Tue Nov 12 16:11:56 CET 2019Optical and Numerical Investigation of Oil Flow Velocities Inside a Zigzag Cooled Winding Model2016Oil Velocities Flow On the singular limit of a two-phase flow equation with heterogeneities
and dynamic capillary pressurehttps://puma.ub.uni-stuttgart.de/bibtex/242d1b78569ecd89f80f0f48af825ce75/mhartmannmhartmann2018-07-20T10:54:15+02:00in Conservation porous function, capillarity, limit, media. flux singular law, dynamic discontinuous vorlaeufig flow two-phase <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. Kissling" itemprop="url" href="/person/1dfd390454fe4506ee81abb066cb2a4d4/author/0"><span itemprop="name">F. Kissling</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K.H. Karlsen" itemprop="url" href="/person/1dfd390454fe4506ee81abb066cb2a4d4/author/1"><span itemprop="name">K. Karlsen</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift
für Angewandte Mathematik und Mechanik</span>, </em> </span>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:15 CEST 2018ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift
f{\"u}r Angewandte Mathematik und Mechanikn/a--n/aOn the singular limit of a two-phase flow equation with heterogeneities
and dynamic capillary pressure2013in Conservation porous function, capillarity, limit, media. flux singular law, dynamic discontinuous vorlaeufig flow two-phase We consider conservation laws with spatially discontinuous flux that
are perturbed by diffusion and dispersion terms. These equations
arise in a theory of two-phase flow in porous media that includes
rate-dependent (dynamic) capillary pressure and spatial heterogeneities.
We investigate the singular limit as the diffusion and dispersion
parameters tend to zero, showing strong convergence towards a weak
solution of the limit conservation law.On the singular limit of a two-phase flow equation with heterogeneities
and dynamic capillary pressurehttps://puma.ub.uni-stuttgart.de/bibtex/242d1b78569ecd89f80f0f48af825ce75/mathematikmathematik2018-07-20T10:54:26+02:00in Conservation porous function, ians capillarity, from:mhartmann limit, media. flux singular law, dynamic discontinuous vorlaeufig flow two-phase <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. Kissling" itemprop="url" href="/person/1dfd390454fe4506ee81abb066cb2a4d4/author/0"><span itemprop="name">F. Kissling</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K.H. Karlsen" itemprop="url" href="/person/1dfd390454fe4506ee81abb066cb2a4d4/author/1"><span itemprop="name">K. Karlsen</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift
für Angewandte Mathematik und Mechanik</span>, </em> </span>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:26 CEST 2018ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift
f{\"u}r Angewandte Mathematik und Mechanikn/a--n/aOn the singular limit of a two-phase flow equation with heterogeneities
and dynamic capillary pressure2013in Conservation porous function, ians capillarity, from:mhartmann limit, media. flux singular law, dynamic discontinuous vorlaeufig flow two-phase We consider conservation laws with spatially discontinuous flux that
are perturbed by diffusion and dispersion terms. These equations
arise in a theory of two-phase flow in porous media that includes
rate-dependent (dynamic) capillary pressure and spatial heterogeneities.
We investigate the singular limit as the diffusion and dispersion
parameters tend to zero, showing strong convergence towards a weak
solution of the limit conservation law.Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methodshttps://puma.ub.uni-stuttgart.de/bibtex/291f54fe318fd82138164bcd9e2763d27/britsteinerbritsteiner2021-09-29T14:33:27+02:00models, peripheral mixedâdimension kernel simulations reduced methods, ians blood realâtime simulations, stenosis, dimensionally surrogate flow anm <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Köppl" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/0"><span itemprop="name">T. Köppl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gabriele Santin" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/1"><span itemprop="name">G. Santin</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/2"><span itemprop="name">B. Haasdonk</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rainer Helmig" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/3"><span itemprop="name">R. Helmig</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">International Journal for Numerical Methods in Biomedical Engineering</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">34 </span></span>(<span itemprop="issueNumber">8</span>):
<span itemprop="pagination">e3095</span></em> </span>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)<em>e3095 cnm.3095.</em></span>Wed Sep 29 14:33:27 CEST 2021International Journal for Numerical Methods in Biomedical Engineeringe3095 cnm.30958e3095Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods342018models, peripheral mixedâdimension kernel simulations reduced methods, ians blood realâtime simulations, stenosis, dimensionally surrogate flow anm Summary In this work, we consider two kinds of model reduction techniques
to simulate blood flow through the largest systemic arteries, where
a stenosis is located in a peripheral artery i.e. in an artery that
is located far away from the heart. For our simulations we place
the stenosis in one of the tibial arteries belonging to the right
lower leg (right post tibial artery). The model reduction techniques
that are used are on the one hand dimensionally reduced models (1âD
and 0âD models, the soâcalled mixedâdimension model) and on
the other hand surrogate models produced by kernel methods. Both
methods are combined in such a way that the mixedâdimension models
yield training data for the surrogate model, where the surrogate
model is parametrised by the degree of narrowing of the peripheral
stenosis. By means of a wellâtrained surrogate model, we show that
simulation data can be reproduced with a satisfactory accuracy and
that parameter optimisation or state estimation problems can be solved
in a very efficient way. Furthermore it is demonstrated that a surrogate
model enables us to present after a very short simulation time the
impact of a varying degree of stenosis on blood flow, obtaining a
speedup of several orders over the full model.Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methodshttps://puma.ub.uni-stuttgart.de/bibtex/291f54fe318fd82138164bcd9e2763d27/mathematikmathematik2021-09-29T14:35:10+02:00models, peripheral mixedâdimension kernel simulations reduced from:britsteiner methods, ians blood realâtime simulations, stenosis, dimensionally surrogate flow anm <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Köppl" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/0"><span itemprop="name">T. Köppl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gabriele Santin" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/1"><span itemprop="name">G. Santin</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/2"><span itemprop="name">B. Haasdonk</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rainer Helmig" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/3"><span itemprop="name">R. Helmig</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">International Journal for Numerical Methods in Biomedical Engineering</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">34 </span></span>(<span itemprop="issueNumber">8</span>):
<span itemprop="pagination">e3095</span></em> </span>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)<em>e3095 cnm.3095.</em></span>Wed Sep 29 14:35:10 CEST 2021International Journal for Numerical Methods in Biomedical Engineeringe3095 cnm.30958e3095Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods342018models, peripheral mixedâdimension kernel simulations reduced from:britsteiner methods, ians blood realâtime simulations, stenosis, dimensionally surrogate flow anm Summary In this work, we consider two kinds of model reduction techniques
to simulate blood flow through the largest systemic arteries, where
a stenosis is located in a peripheral artery i.e. in an artery that
is located far away from the heart. For our simulations we place
the stenosis in one of the tibial arteries belonging to the right
lower leg (right post tibial artery). The model reduction techniques
that are used are on the one hand dimensionally reduced models (1âD
and 0âD models, the soâcalled mixedâdimension model) and on
the other hand surrogate models produced by kernel methods. Both
methods are combined in such a way that the mixedâdimension models
yield training data for the surrogate model, where the surrogate
model is parametrised by the degree of narrowing of the peripheral
stenosis. By means of a wellâtrained surrogate model, we show that
simulation data can be reproduced with a satisfactory accuracy and
that parameter optimisation or state estimation problems can be solved
in a very efficient way. Furthermore it is demonstrated that a surrogate
model enables us to present after a very short simulation time the
impact of a varying degree of stenosis on blood flow, obtaining a
speedup of several orders over the full model.Numerical modelling of a peripheral arterial stenosis using dimensionally
reduced models and kernel methodshttps://puma.ub.uni-stuttgart.de/bibtex/2832dacbae634d8ae21c67ac44f94850c/mathematikmathematik2018-07-20T10:54:55+02:00models, peripheral kernel simulations reduced mixed-dimension methods, ians blood simulations, stenosis, from:mhartmann real-time dimensionally surrogate vorlaeufig flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Köppl" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/0"><span itemprop="name">T. Köppl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gabriele Santin" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/1"><span itemprop="name">G. Santin</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/2"><span itemprop="name">B. Haasdonk</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rainer Helmig" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/3"><span itemprop="name">R. Helmig</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">International Journal for Numerical Methods in Biomedical Engineering</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">0 </span></span>(<span itemprop="issueNumber">ja</span>):
<span itemprop="pagination">e3095</span></em> </span>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)<em>e3095 cnm.3095.</em></span>Fri Jul 20 10:54:55 CEST 2018International Journal for Numerical Methods in Biomedical Engineeringe3095 cnm.3095jae3095Numerical modelling of a peripheral arterial stenosis using dimensionally
reduced models and kernel methods02018models, peripheral kernel simulations reduced mixed-dimension methods, ians blood simulations, stenosis, from:mhartmann real-time dimensionally surrogate vorlaeufig flow Summary In this work, we consider two kinds of model reduction techniquesto
simulate blood flow through the largest systemic arteries, where
a stenosis is located in a peripheral artery i.e. in an artery that
is located far away from the heart. For our simulations we place
the stenosis in one of the tibial arteries belonging to the right
lower leg (right post tibial artery). The model reduction techniques
that are used are on the one hand dimensionally reduced models (1-Dand
0-D models, the so-called mixed-dimension model) and on the other
hand surrogate models produced by kernel methods. Both methods are
combined in such a way that the mixed-dimension models yield training
data for the surrogate model, where the surrogate model is parametrisedby
the degree of narrowing of the peripheral stenosis. By means of a
well-trained surrogate model, we show that simulation data can be
reproduced with a satisfactory accuracy and that parameter optimisation
or state estimation problems can be solved in a very efficient way.
Furthermore it is demonstrated that a surrogate model enables us
to present after a very short simulation time the impact of a varying
degree of stenosis on blood flow, obtaining a speedup of several
orders over the full model.Numerical modelling of a peripheral arterial stenosis using dimensionally
reduced models and kernel methodshttps://puma.ub.uni-stuttgart.de/bibtex/2832dacbae634d8ae21c67ac44f94850c/mhartmannmhartmann2018-07-20T10:54:15+02:00models, peripheral kernel simulations reduced mixed-dimension methods, blood simulations, stenosis, real-time dimensionally surrogate vorlaeufig flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Köppl" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/0"><span itemprop="name">T. Köppl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gabriele Santin" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/1"><span itemprop="name">G. Santin</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Haasdonk" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/2"><span itemprop="name">B. Haasdonk</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rainer Helmig" itemprop="url" href="/person/1979f2097ba9c22d67096e59e5c6d7a3e/author/3"><span itemprop="name">R. Helmig</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">International Journal for Numerical Methods in Biomedical Engineering</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">0 </span></span>(<span itemprop="issueNumber">ja</span>):
<span itemprop="pagination">e3095</span></em> </span>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)<em>e3095 cnm.3095.</em></span>Fri Jul 20 10:54:15 CEST 2018International Journal for Numerical Methods in Biomedical Engineeringe3095 cnm.3095jae3095Numerical modelling of a peripheral arterial stenosis using dimensionally
reduced models and kernel methods02018models, peripheral kernel simulations reduced mixed-dimension methods, blood simulations, stenosis, real-time dimensionally surrogate vorlaeufig flow Summary In this work, we consider two kinds of model reduction techniquesto
simulate blood flow through the largest systemic arteries, where
a stenosis is located in a peripheral artery i.e. in an artery that
is located far away from the heart. For our simulations we place
the stenosis in one of the tibial arteries belonging to the right
lower leg (right post tibial artery). The model reduction techniques
that are used are on the one hand dimensionally reduced models (1-Dand
0-D models, the so-called mixed-dimension model) and on the other
hand surrogate models produced by kernel methods. Both methods are
combined in such a way that the mixed-dimension models yield training
data for the surrogate model, where the surrogate model is parametrisedby
the degree of narrowing of the peripheral stenosis. By means of a
well-trained surrogate model, we show that simulation data can be
reproduced with a satisfactory accuracy and that parameter optimisation
or state estimation problems can be solved in a very efficient way.
Furthermore it is demonstrated that a surrogate model enables us
to present after a very short simulation time the impact of a varying
degree of stenosis on blood flow, obtaining a speedup of several
orders over the full model.Heat transfer enhancement of laminar and transitional Newtonian and non-Newtonian flows in tubes with wire coil insertshttps://puma.ub.uni-stuttgart.de/bibtex/252d94aafb4f482496449f8e5a660a4fc/davidmartinezdavidmartinez2019-02-25T12:04:52+01:00coil myown transfer inserts, Newtonian Heat enhancement, Non Wire flow flow, Transitional <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D.S. Martínez" itemprop="url" href="/person/1aa31e19a79df9ccba4e2118b7e1acb33/author/0"><span itemprop="name">D. Martínez</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. García" itemprop="url" href="/person/1aa31e19a79df9ccba4e2118b7e1acb33/author/1"><span itemprop="name">A. García</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J.P. Solano" itemprop="url" href="/person/1aa31e19a79df9ccba4e2118b7e1acb33/author/2"><span itemprop="name">J. Solano</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Viedma" itemprop="url" href="/person/1aa31e19a79df9ccba4e2118b7e1acb33/author/3"><span itemprop="name">A. Viedma</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">International Journal of Heat and Mass Transfer</span>, </em> </span>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Mon Feb 25 12:04:52 CET 2019International Journal of Heat and Mass Transfer540 - 548Heat transfer enhancement of laminar and transitional Newtonian and non-Newtonian flows in tubes with wire coil inserts762014coil myown transfer inserts, Newtonian Heat enhancement, Non Wire flow flow, Transitional This work presents an experimental study on two different wire coils inserted in a smooth tube using both Newtonian and non-Newtonian fluids to characterize their thermohydraulic behavior in laminar and transitional flow. Dimensionless pitches of the wire coils were chosen as p/D=1 and 2, whereas dimensionless wire diameter was e/D=0.09 for both wire coils. Non-Newtonian tests considered different viscosity types with concentration of 1% of CMC (carboxyl-methyl-cellulose) solution in water at several temperatures; a wide range of flow conditions has been covered: Reynolds number from 10 to 1300 and Prandtl number from 150 to 1900. Newtonian test were carried out with propylene glycol as working fluid, covering a similar range of Reynolds number as the previously indicated for non-Newtonian fluids. Isothermal pressure drop tests and heat transfer experiments under uniform heat flux conditions were performed, and results were contrasted with own experimental data for the smooth tube and with well-know analytical solutions. At low Reynolds numbers, both wire coils behave as a smooth tube but accelerate transition to critical Reynolds numbers down to 500. Maximum augmentations of Fanning friction factor of 3.5 times and of 4.5 times of Nusselt number have been found with respect to the smooth tube.Four Methods for LIDAR Retrieval of Microscale Wind Fieldshttps://puma.ub.uni-stuttgart.de/bibtex/2486fb4db2367bfff1b31e3a9ff67edde/mwiggermwigger2018-07-01T13:42:06+02:00wind semblance models;fluid;LiDAR;retrievals;spatio-temporal methods;vector and fields flow <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Allen Q. Howard" itemprop="url" href="/person/16256b10c5c2b0538cbf72e984eb030ba/author/0"><span itemprop="name">A. Howard</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Naini" itemprop="url" href="/person/16256b10c5c2b0538cbf72e984eb030ba/author/1"><span itemprop="name">T. Naini</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Remote Sensing</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">4 </span></span>(<span itemprop="issueNumber">12</span>):
<span itemprop="pagination">2329--2355</span></em> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)</span>Sun Jul 01 13:42:06 CEST 2018Remote Sensing122329--2355Four Methods for LIDAR Retrieval of Microscale Wind Fields42012wind semblance models;fluid;LiDAR;retrievals;spatio-temporal methods;vector and fields flow This paper evaluates four wind retrieval methods for micro-scale meteorology applications with volume and time resolution in the order of 30m3 and 5 s. Wind field vectors are estimated using sequential time-lapse volume images of aerosol density fluctuatFlow Rate Estimation Using Unscented Kalman Filterin Automatic Pouring Robot: Flow Rate Estimation Using Unscented Kalman Filterin Automatic Pouring Robothttps://puma.ub.uni-stuttgart.de/bibtex/245dcbc76b748c8e4c635d02ecdc4d5fb/isw-bibliothekisw-bibliothek2016-03-03T09:53:12+01:00foundry robot, filter, Kalman estimation, unscented automatic rate equipment ISW flow pouring <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kazuhiko Terashima Oliver Sawodny Yoshiyuki Noda, Markus Birkhold" itemprop="url" href="/person/11bdf6f5c937b919209a8de37c08f5e79/author/0"><span itemprop="name">K. Yoshiyuki Noda, Markus Birkhold</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Verl" itemprop="url" href="/person/11bdf6f5c937b919209a8de37c08f5e79/author/1"><span itemprop="name">A. Verl</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)</span>Thu Mar 03 09:53:12 CET 2016--Flow Rate Estimation Using Unscented Kalman Filterin Automatic Pouring Robot: Flow Rate Estimation Using Unscented Kalman Filterin Automatic Pouring Robot2011foundry robot, filter, Kalman estimation, unscented automatic rate equipment ISW flow pouring We describe here a method for estimating the pouring flow rate for tilting-ladle-type automatic pouring robotused in casting industries. To precisely pour molten metal into the mold, controlling the flow rate of liquid flowing outof the ladle is mandatory. However, it is difficult to directly measure the pouring flow rate by using a conventional flowmeter, because the flow meter is damaged by the high temperature molten metal. Therefore, in this study, we used a softsensing technique as part of the pouring flow rate estimation system. The extended Kalman filter was applied to the flowrate estimation of the automatic pouring robot in previous study. The previous approach can be applied only the ladlewith smooth shape, because of derivation of Jacobian matrix. However, some ladles with complicated shape which theJacobian matrix cannot be derived have been used in an actual casting plant. In this paper, an unscented Kalman filterwhich does not need the Jacobian matrix is applied into the flow rate estimation. The effectiveness of the proposed flowrate estimation method is demonstrated through simulations and experiments.