Jonas Sjöblom
Associate professor at Applied Mechanics, Chalmers university of technology Prof. Sjöblom has a PhD in Chemical enginering specifically dealing with modelling of heterogeneous catalytic reactors (used in Automotive Emission Control). Since 2011, Prof. Sjöblom is working in the interface between the internal combustion engine and the catalytic converter, specifically focussing on emissions of Particulate Matter (PM).
Showing 79 publications
Model-Based DoE for Multi-Channel Modeling of Exhaust Aftertreatment Systems
Numerical investigations of soot generation during wood-log combustion
Transient Flow Uniformity Evolution in Realistic Exhaust Gas Aftertreatment Systems using 3D-CFD
Turbulent uniformity fluctuations in automotive catalysts – A RANS vs DES assessment
Robust parameter estimation methodology for heterogeneous catalytic reactors
A unified framework for online trip destination prediction
Modelling of Mass Transfer Resistances in Non-uniformly Washcoated Monolith Reactors
A Control-Oriented Spatially Resolved Thermal Model of the Three-Way-Catalyst
Cold-Start Modeling and On-Line Optimal Control of the Three-Way Catalyst
Investigation of the soot formation during wood log combustion
Design of a virtual test cell based on GMDH-type neural network for a heavy-duty diesel engine
Light my fire but don’t choke on the smoke: Wellbeing and pollution from fireplace use in Sweden
An inclusive, international learning environment?
Particle Emissions and Soot Reactivity using Renewable Fuels in a Diesel Engine
Ethics in Automotive Engineering
Modelling of non uniform washcoat in catalytic monolith reactors
Experimental study on the flow field of particles deposited on a gasoline particulate filter
Efficient Experimental Approach to Evaluate Mass Transfer Limitations for Monolithic DOCs
Analysis of the flow field from connection cones to monolith reactors
Use of 3D-printed mixers in laboratory reactor design for modelling of catalytic converters
Intrinsic Design of Experiments for Modeling of Internal Combustion Engines
Development and Calibration of One Dimensional Engine Model for Hardware-in-the-Loop Applications
Toward an Effective Virtual Powertrain Calibration System
Heavy Duty Diesel Engine Modeling with Layered Artificial Neural Network Structures
Catalytic aftertreatment of PM emissions
Catalytic aftertreatment of particulate matter
Characterization of Particulate Matter and the Capture Efficiency in Open Metal Substrates
Impact of aromatic concentration in marine fuels on particle emissions
Creating successful Bachelor thesis projects by interdisciplinary approach
Characterization of Particulate Matter and the Capture Efficiency
Particulate emissions from aromatic containing fuels
DOC modeling combining kinetics and mass transfer using inert washcoat layers
Deposition, reduction and transformations of diesel particulate matter in a novel open substrate
Pulse experiments for investigation of soot oxidation kinetics
Forskningsintegrerad undervisning: Hur? och Varför?
Characterization of Particulate matter and the capture efficiency in open metal substrates
Model-based experimental screening for DOC parameter estimation
Use of Late IVC and EGR to Enhance Diesel Engine Optimization
Combined Effects of Late IVC and EGR on Low-load Diesel Combustion
Experimental validation of particulate matter (PM) capture in open substrates
Evaluation of assessment tools of concept maps from teaching in sustainable development
Modelling of Particulate Matter Transformations and Capture Efficiency
Parameter Estimation of a DOC from Engine Rig Experiments with a Discretized Catalyst Washcoat Model
Modelling of particulate matter transformations and capture efficiency
Capture of automotive particulate matter in open substrates
Bridging the Gap Between Lab Scale and Full Scale Catalysis Experimentation
New Methodology for Transient Engine Rig Experiments for Efficient Parameter Estimation
Capture of Automotive Particulate Matter in Open Substrates
Heat supply alternatives for CO2 capture in the process industry
Bridging the gap between lab scale and full scale catalysis experimentation
Parameter Estimation of a DOC from Engine Rig Experiments
Kinetic Modelling of Octane Selective Catalytic Reduction of NOx over Ag-Al2O3
Kinetic modeling of selective catalytic reduction of NOx with octane over Ag-Al2O3
Extended sensitivity analysis for targeted model improvements
DRIFTS-SSITKA and fast transient analysis of H2-assisted NH3 SCR on Ag-alumina
Modelling of Octane Selective Catalytic Reduction of NOx over Ag/Al2O3
Process Analytical Technology - a bridging concept
Microkinetic modelling with global thermodynamic consistency
Latent variable projections of sensitivity data for experimental screening and kinetic modeling
Modeling mass transport with microkinetics in monolithic NOx storage and reduction catalyst
New approach for microkinetic mean-field modelling using latent variables
Modelling Mass Transport with Microkinetics in Monolithic NOX Storage and Reduction Catalyst
New approach for microkinetic mean-field modeling using latent variables
Use of experimental design in development of a catalyst system
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Showing 19 research projects
Utvärdering av alternativa mätmetoder för exponeringsmätningar för dieselavgaser
Adaptive Neural Controller for Future Renewable Fuels
Modelling and optimization of energy management systems for plug-in hybrid vehicles
EATS modelling towards zero emissions
Towards zero emissions from urban transportation
Detailed analysis of particulate emissions
Cloud-based Modelling and Optimization of the PHEV Controller Using Artificial Intelligence
Removal of particulates and NOx from vehicles for the zero emission vision
Particle flows in Exhaust gas aftertreatment systems
Emission control by validated catalytic reactor modelling
Virtuell Motor Kalibrering (VirCal)
A continuum model for Brownian motion in rarefied gas-solid flows
Particle emissions from marine engines
Miniatyranläggning för produktion av biogas från biomassa
Student-developped bio methane process
Catalytic aftertreatment of particulate matter
CO2 REduction for long distance transport (CORE)
Effective parameter estimation for catalyst models