LOGEsoft suite

LOGEresearch
The ultimate simulation tool to investigate reactive flows using complex chemical kinetics.
0-D homogeneous and stochastic reactors
1-D flame solvers
Combustion, soot and NOx table generation
Reaction mechanism reduction
LOGEengine
The simulation tool specifically designed for analysis and development of internal combustion engines.
Heat release and mixing time analysis
Automatic calibration of engine operating parameters
Full engine map extrapolation
GT-power integration
LOGEapi
The state-of-the-art collection of chemistry solver APIs to boost prediction and computational performance of your 3rd party computational fluid dynamic solver.
Direct chemistry solutions
Tabulated chemistry solutions

Advanced chemistry

LOGEfuel
The perfect ally of LOGEsoft to comprehensively and efficiently model combustion of advanced fuel mixtures.
Constantly improved database of surrogate fuels
Tailor made chemical kinetic mechanisms for advanced analysis

Surface reaction
applications

LOGEnanosurf
A powerful Kinetic Monte Carlo simulation tool to model surface reactions at the atomic scale.
Emissions modelling
Semi conductor growth modelling
3D visualization of the surface
LOGEcat - coming soon!
An integrated simulation tool for exhaust after-treatment system analysis.
Modelling of catalytic conversion with detailed chemistry
Design of catalytic converters via advanced physical and chemical models

LOGEresearch

LOGEresearch performs combustion and chemical kinetics simulations for all reactive systems with a unique solver for complex chemical systems. LOGEresearch is capable of predicting emission levels of soot, Nox, CO and unburned hydrocarbons. Through its robust and fast solver, LOGEresearch is an ideal tool for complete powertrain assessment, emissions efficiency investigation and optimization as well as exhaust emission analysis and improved after treatment control.

Features include:

  • 0-D homogenous reactors
  • 0-D stochastic reactors
  • 1-D flame solvers
  • Detailed Soot and NOx models
  • Catalyst modelling framework
  • 1-D Biomass gasification model
  • In-cylinder combustion
  • Mechanism reduction
  • Tabulated chemistry generator

Related Cases

Biomass Pyrolysis

A stochastic multi-phase reactor was coupled with a detailed biomass reaction scheme to study wood pyrolysis. Through chemistry guided reduction the mechanism was brought down to a skeletal size, resulting in a CPU efficient model able to run full scale simulations in just a few minutes. Good agreement with experimental data was achieved.

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LOGEengine

LOGEengine is a simulation tool specifically designed for analysis and development of Internal Combustion Engines (ICE), such as those found in cars, trucks, motorcycles, ships, agricultural and industrial vehicles. LOGEengine evaluates and validates experimental data through heat release and mixing time analysis, yielding fast and accurate emissions out and detailed combustion development information.

LOGEengine can identify the ideal dataset for compression ratio, initial temperature, fuel/air mass, EGR rate, wall temperature and pressure offset for any set of experimental data. Internally consistent setups for a set of cases can be acquired by studying variables globally, finding the best-fitting value for a variable under the constraint that it’s constant over a selection of cases.

Once experimental data has been analysed, the calculated setup can either be used as a starting point for 3D CFD simulations or for engine parameter mapping where LOGEengine seeks out the most advantageous injection or spark timings for optimal engine operation.

Features include:

  • Engine optimization
  • Emissions modelling
  • Stochastic reactor models
  • Heat release analysis
  • Chemical kinetics
  • Engine mapping
  • Third party software interfaces

Related Cases

Extrapolation of the full engine map based on few experimental data – DI-Diesel engine

A full engine map extrapolation was performed based on four measured DI-Diesel engine operating conditions using LOGEengine. The whole simulation process is carried out in an automated manner using a genetic algorithm. The turbulent mixing time is parametrized with known engine operating parameters such as load, speed and fuel injection strategy. The results show that the model responds correctly to the changes of engine control parameters such as fuel injection timing and exhaust gas recirculation (EGR) rate.

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LOGEapi

Our high-performance solver technology APIs can be coupled with third party computational fluid dynamic solvers that provide user coding functionality. The LOGEapi package provides combustion models which offer faster computational time and higher precision than those used in traditional CFD combustion analysis. The higher precision is achieved by the use of detailed chemistry. Direct chemistry solutions as well as tabulated chemistry solutions are featured.

The following APIs are available:

  • Well-stirred reactor (WSR) API with load balancing and cell clustering technology.
  • Combustion progress variable (CPV) API which is a tabulated chemistry based WSR.
  • Interactive Flamelet API with Transient Interactive Flamelet (TIF) and Dominant Interactive Flamelet (DIF).
  • API for conditional moment closure (CMC) with tabulated chemistry, a unique method which can be used for computing cell-local resolved CMC of the whole engine cylinder.

Related Cases

Diesel combustion and Emission Modelling

A multiple injection, part-load, high EGR diesel case was modelled with the LOGE transient interactive flamelet model in Converge. Predictive soot modelling was included through a fixed shape method of moments implementation with the shape of the soot moments was paremeterised as function of mixture fraction. Effects of EGR level and soot/NOx tradeoff were well predicted.

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Diesel Spray Modelling

Three different combustion models were applied to model a well-known diesel spray experiment. By applying the same reaction mechanism in all cases, it was possible to compare key properties such as ignition delay, flame lift-off and flame stabilisation. A progress variable based conditional moment closure model was found to give the most accurate results.

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LOGEfuel

LOGEfuel provides detailed and reduced reaction schemes to help you model the combustion of different fuels. In addition, LOGEfuel offers the capability to compose surrogate fuels based on known quantities and to create look-up tables for laminar flame speeds.

LOGEfuel reaction schemes describe the oxidation and emission formation of various representative fuel mixtures (surrogate fuels). These multicomponent schemes are developed to model combustion features such as ignition delay time or laminar flame speed and are also able to predict the formation of emissions such as soot precursors, NOx or unburned hydrocarbons.

Surrogate models for the following fuels are available:

  • Hydrogen and Syngas
  • Natural gas (Low and High calorific)
  • LPG (Autogas)
  • Gasoline
  • Diesel
  • Dual fuel solutions (e.g. Diesel / Gasoline)
  • Common oxygenated fuels, e.g. from renewable sources, are or can be included

Features include:

  • Build up chemistry for poly-aromatic hydrocarbons compatible with common soot models.
  • Fast laminar flame speed table generation: For a given multicomponent mixture tables can be generated for a wide range of pressures, temperatures, fuel equivalence ratios and EGR levels.
  • Reaction schemes in a detailed and/or reduced state, all non-stiff and available in ASCII standard format.
  • Mechanism reduction strategy targeted specifically for engine conditions.
  • Compatibility with all LOGE products and common CFD solutions.

Related Cases

Engine Knock Investigation

SI engine knock was studied through the use of detailed chemistry and detonation diagrams. The SAGE combustion model in Converge was used together with LOGE reaction schemes and laminar flame speed tables. Transitions from acceptable sub-sonic auto ignition to both light and heavy knock were predicted with high accuracy when studying different spark timings and fuel properties.

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LOGEnanosurf

LOGEnanosurf is a 3D Kinetic Monte Carlo (KMC) simulation tool specifically designed for analysis and development of applications with heterogeneous surface processes, such as layer growth and heterogeneous catalysis.

LOGEnanosurf is a sophisticated tool which explicitly takes local environments into account and which tracks the temporal behaviour of all the surface species as a function of time, surface site configurations, and reaction conditions. KMC modelling of heterogeneous catalysts such as Three Way Catalytic Converters (TWC) in gasoline-powered vehicles is able to examine how changes in catalytic material, alloy composition, and the specific arrangements of surface atoms influence catalytic activity. Simulation of film growth provides information about morphology evolution, growth mechanism, and surface micro construction.

Features include:

  • Emissions modelling
  • Semiconductor growth modelling
  • 3D visualization of the surface
  • Embedding in LOGEsoft reactor software is possible