Carbon capture on ships - an energy flow based analysis using system simulation

2023

Michael Wohlthan, Bernhard Thaler, Andreas Wimmer, Gerhard Pirker

Veranstaltung: 11th International Freiberg Conference on Circular Carbon Technologies: Towards a Net-Zero Carbon Economy, Ort: Rotterdam

Typ: Abstract

CO2-Abtrennung für Fährschiffe

2023

Klaus Meyer, Michael Wohlthan, Gerhard Pirker, Felix Dahms, Karsten Müller

19. Tagung Nachhaltigkeit in Mobilität, Transport und Energieerzeugung: (vormals “Der Arbeitsprozess des Verbrennungsmotors”)., ISBN (Print): 978-3-85125-974-2, Herausgeber (Verlag): Verlag der Technischen Universität Graz , Band: 106, Seiten: 351 - 362

Ammonia as Carbon-Free Fuel

2023

Michael Url, Lucas Konstantinoff, David Sepulveda-Lopez, Matthias Veltman, Nicole Wermuth, Christof Gumhold

19. Tagung Nachhaltigkeit in Mobilität, Transport und Energieerzeugung: (vormals “Der Arbeitsprozess des Verbrennungsmotors”)., ISBN (Print): 978-3-85125-974-2, Herausgeber (Verlag): Verlag der Technischen Universität Graz , Band: 106, Seiten: 269 - 280

Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks

2023

Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger

Zeitschrift: IEEE Access , Seitenumfang: 10

DOI 10.1109/ACCESS.2023.3302892

Alternative spark plug electrode materials for economical, reliable engine operation

2023

Anton Tilz , Manuel Gruber, Walter Harrer, Michael Engelmayer, Wolfgang Fimml, Andreas Wimmer

Proceedings of the ASME 2023 ICE Forward Conference, ICEF 2023., Herausgeber (Verlag): American Society of Mechanical Engineers (ASME)

The development and application of advanced sensor solutions for gaining new insights into large engines

2023

Ansel James Higgs , Bernhard Rossegger, Anton Tilz, Martin Vareka, Michael Engelmayer, Andreas Wimmer

Proceedings of the ASME 2023 ICE Forward Conference, ICEF 2023., Herausgeber (Verlag): American Society of Mechanical Engineers (ASME)

Laser structured thin film sensor technology for sliding bearings in internal combustion engines

2023

Constantin Kiesling , Matheus Marques da Silva, Martin Kober, Andreas Wimmer, Jan F. Düsing, Gunther Hager

Proceedings of the ASME 2023 ICE Forward Conference, ICEF 2023., Herausgeber (Verlag): American Society of Mechanical Engineers (ASME)

Optical Investigation of Ammonia Combustion Concepts: Pilot Fuel vs. NH3- or H2-Filled Pre-chamber

2023

Silas Wüthrich, Marc Klawitter, Kai Herrmann

Veranstaltung: 2nd Symposium on Ammonia Energy, Ort: Orléans

Typ: Paper

Partially Dissociated Ammonia as a Fuel: Experimental Study on Laminar Flame Characteristics of Premixed NH3/H2/N2/Air Mixtures

2023

Marc Klawitter , Clemens Gößnitzer, Anton Tilz, Gerhard Pirker, Andreas Wimmer

Veranstaltung: 2nd Symposium on Ammonia Energy, Ort: Orléans

Typ: Paper

Unsupervised single-shot depth estimation using perceptual reconstruction

2023

Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson

Zeitschrift: Machine Vision and Applications , Ausgabe: 5, Seitenumfang: 16

DOI 10.1007/s00138-023-01410-5

Hybrid model predictive control of renewable microgrids and seasonal hydrogen storage

2023

Bernhard Thaler, Stefan Posch, Andreas Wimmer, Gerhard Pirker

Zeitschrift: International Journal of Hydrogen Energy , Ausgabe: 97, Seitenumfang: 18

DOI 10.1016/j.ijhydene.2023.06.067

Laser Patterning of Thin Film Sensors on Bearing Shells

2023

Jan Friedrich Düsing, Jürgen Koch, Matheus Marques da Silva, Constantin Kiesling, Martin Kober, Thomas Gasperlmair, Gunther Hager, Peter Jäschke, Ludger Overmeyer, Stefan Kaierle

Veranstaltung: 24th International Symposium on Laser Precision Microfabrication: LPM 2023, Ort: Hirosaki

Typ: Abstract

Training gives me PINNs and needles – on the complexity of training physics-informed neural networks

2023

Franz Martin Rohrhofer, Sophie Steger, Stefan Posch, Clemens Gößnitzer, Bernhard Geiger

Veranstaltung: GraML - IRT Physics Networking Event 0.1: Physics-Informed Machine Learning & Surrogate Modelling, Ort: Graz

Typ: Abstract

Development of an 1D Multicylinder Engine Model to Predict Knocking and Emissions of Large Gas Engines

2023

Dimitar Dimitrov , Gernot Kammel, Erich Egert, Nicole Wermuth, Andreas Wimmer

Proceedings trans & MOTAUTO 2023., ISBN (Print): 1313-5031, Herausgeber (Verlag): Scientific-Technical Union of Mechanical Engineering „Industry-4.0" , Seiten: 54 - 57

https://trans-motauto.com/sbornik/2023.pdf Lizenz: CC BY 4.0

Development of lubricants for hydrogen-fueled large engine power plants

2023

Winfried Koch, Luke Pearson, Nicole Wermuth, Wolfgang Fimml, Zita Baumann, Eduard Schneßl, Thomas Oppl, Marcel Lackner, Spyridon Korres, Egor Geist, Dana Gary-Pathane, Oliver Glow

Veranstaltung: 30th CIMAC World Congress 2023: Meeting the Future of Combustion Engines, Ort: Busan

Typ: Paper

https://graz.pure.elsevier.com/files/70819072/Koch-CIMAC-Development_of_lubricants_for_hydrogen_fueled_large_engine_power_plants-386.pdf

Experimental and Simulation-assisted Investigations of PFI and DI Combustion Concepts for Hydrogen-fueled Large Bore Engines

2023

Marcel Lackner , Christof Gumhold, Nicole Wermuth, Andreas Wimmer

Tagungsband/Proceedings 12. Tagung Einspritzung und Kraftstoffe: 10./11. Mai 2023, Dessau-Roßlau, Sachsen-Anhalt., ISBN (Print): 978-3-941554-26-9, Herausgeber (Verlag): FVTR Forschungszentrum für Verbrennungsmotoren und Thermodynamik Rostock GmbH , Seiten: 34 - 46

Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models

2023

Oliver Alber, Christian Laubichler, Sebastian Baumann, Valeria Gruber, Sabrina Kuchling, Corina Schleicher

Zeitschrift: Stochastic Environmental Research and Risk Assessment , Ausgabe: 9, Seitenumfang: 15

DOI 10.1007/s00477-023-02457-6

Finding the Optimum Design of Large Gas Engines Prechambers using CFD and Bayesian Optimization

2023

Stefan Posch , Clemens Gößnitzer, Franz Martin Rohrhofer, Bernhard Geiger, Andreas Wimmer

Scientific Computing 2023: Conference Proceedings., ISBN (Print): 978-3-903318-19-9, Herausgeber (Verlag): Verlag der FH JOANNEUM Gesellschaft mbH , Seiten: 160 - 168

Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes

2023

Franz Martin Rohrhofer, Stefan Posch, Clemens Gößnitzer, José M. García-Oliver, Bernhard Geiger

Scientific Computing 2023: Conference Proceedings., ISBN (Print): 978-3-903318-19-9, Herausgeber (Verlag): Verlag der FH JOANNEUM Gesellschaft mbH , Seiten: 4 - 11

Predictive control and optimization of sustainable energy systems

2023

Bernhard Thaler, Michael Wohlthan, Stefan Posch, Gerhard Pirker, Andreas Wimmer

Veranstaltung: 13. Internationale Energiewirtschaftstagung an der TU Wien: IEWT 2023, Ort: Wien

Typ: Poster

Surface topography characterization using a simple optical device and artificial neural networks

2023

Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml

Zeitschrift: Engineering Applications of Artificial Intelligence , Seitenumfang: 11

DOI 10.1016/j.engappai.2023.106337

Feasibility study on electrically conductive joining of MoSi2 electrodes for spark plugs

2023

Manuel Gruber, Anton Tilz, Walter Harrer, Roman Papsik, Wolfgang Fimml, Michael Engelmayer

Zeitschrift: International Journal of Applied Ceramic Technology , Ausgabe: 5, Seitenumfang: 10

DOI 10.1111/ijac.14417

Deep Generative Networks for Nondestructive Cylinder Liner Inspection in Large Internal Combustion Engines

2023

Christoph Angermann, Christian Laubichler, Constantin Kiesling, Florian Dreier, Markus Haltmeier, Steinbjörn Jónsson

Zeitschrift: SAE Technical Papers , Seitenumfang: 12

DOI 10.4271/2023-01-0066

Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

2023

Sven Warter, Christian Laubichler, Constantin Kiesling, Martin Kober, Andreas Wimmer, Marco Coppo, Danilo Laurenzano, Claudio Negri

Zeitschrift: SAE Technical Papers , Seitenumfang: 13

DOI 10.4271/2023-01-0291

Zero-dimensional Modeling of Flame Propagation During Combustion of Natural Gas/Hydrogen Mixtures

2023

Thomas Oppl , Gerhard Pirker, Andreas Wimmer, Michael Wohlthan

Zeitschrift: SAE Technical Papers , Seitenumfang: 19

DOI 10.4271/2023-01-0190

A Comparison of Virtual Sensors for Combustion Parameter Prediction of Gas Engines Based on Knock Sensor Signals

2023

Achilles Kefalas , Andreas Ofner, Stefan Posch, Gerhard Pirker, Clemens Gößnitzer, Bernhard Geiger, Andreas Wimmer

Zeitschrift: SAE Technical Papers , Seitenumfang: 12

DOI 10.4271/2023-01-0434

On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks

2023

Franz Martin Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard Geiger

Zeitschrift: Transactions on Machine Learning Research , Ausgabe: 1, Seitenumfang: 22

https://openreview.net/pdf?id=56cTmVrg5w Lizenz: CC BY 4.0

Novel measurement techniques for oil consumption and spark plugs to support the development of engine in terms of wear and in situ monitoring

2023

Bernhard Rossegger , Anton Tilz, Martin Vareka, Ansel James Higgs, David Johannes Pommerenke, Andreas Wimmer

Veranstaltung: 24th International Conference on Wear of Materials, Ort: Banff, Alberta

Typ: Poster

Novel measurement techniques for oil consumption and spark plug temperature measurement to support engine components development in terms of wear and in situ monitoring

2023

Anton Tilz , Bernhard Rossegger, Martin Vareka, Ansel James Higgs, David Johannes Pommerenke, Michael Engelmayer, Andreas Wimmer

Zeitschrift: Wear

DOI 10.1016/j.wear.2023.204730

Numerical procedure for prechamber transfer from a single-cylinder engine to a rapid compression machine

2023

Rajat Soni, Stefan Posch, Clemens Gößnitzer, Gerhard Pirker, Andreas Wimmer

Zeitschrift: International Journal of Engine Research , Ausgabe: 7, Seitenumfang: 16

DOI 10.1177/14680874221143805

In-cylinder pressure reconstruction from engine block vibrations via a branched convolutional neural network

2023

Andreas B. Ofner, Achilles Kefalas, Stefan Posch, Gerhard Pirker, Bernhard C. Geiger

Zeitschrift: Mechanical Systems and Signal Processing

DOI 10.1016/j.ymssp.2022.109640

Carbon capture on ships - an energy flow based analysis using system simulation

2023

Autoren: Bernhard Thaler

Veranstaltung: 11th International Freiberg Conference on Circular Carbon Technologies: Towards a Net-Zero Carbon Economy, Ort: Rotterdam, Niederlande

H2Factory - H2 based CO2-free Factory

2023

Autoren: Matthias Veltman, Sebastian Steinlechner, Roland Fortenbach, Gerhard Pirker

Veranstaltung: NEFI Technology Talk: "Hydrogen for Austria's Industry - Challenges and Solutions on the Path to Decarbonisation", Ort: Vöklabruck, Österreich

Ceramic materials as an alternative for conventional spark plug electrodes

2023

Autoren: Walter Harrer, Manuel Gruber, Verena Melcher, Anton Tilz

Veranstaltung: Fracture of Advanced Ceramics and Glasses. Fractography, Fracture Mechanics and Fracture Testing: FAC 2023, Ort: Leoben, Österreich

Training gives me PINNs and needles – on the complexity of training physics-informed neural networks

2023

Autoren: Franz Martin Rohrhofer, Sophie Steger, Stefan Posch, Clemens Gößnitzer, Bernhard Geiger

Veranstaltung: GraML - IRT Physics Networking Event 0.1: Physics-Informed Machine Learning & Surrogate Modelling, Ort: Graz, Österreich

The development of novel measurement techniques as enablers for cleaner and more robust engines

2023

Autoren: Bernhard Rossegger

Veranstaltung: 30th CIMAC World Congress 2023: Meeting the Future of Combustion Engines, Ort: Busan, Südkorea

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