CFD Events Calendar, Event Record #28781
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Best Practice Guidelines for CFD of Turbulent Combustion including an introduction to machine learning tools
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The participants will learn the best practices in CFD of turbulent
combustion. It introduces the latest trends in the use of machine-
learning based approaches to improve the understanding of turbulent
reacting flow and develop more efficient and accurate numerical
models. The lectures of this course, all by well-known experts in the
field, cover from basics to applications. The course is partially based
on the ERCOFTAC Best Practice Guidelines on CFD of Turbulent
Combustion.
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| Date: |
December 11, 2019 - December 12, 2019
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| Location: |
Université Libre de Bruxelles, Avenue Franklin Roosevelt 50, Brussels, Belgium
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| Web Page: |
https://www.ercoftac.org/events
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| Contact Email: |
admin@cado-ercoftac.org
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| Organizer: |
ERCOFTAC. Course hosted by Prof. A. Parente (ULB)
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| Application Areas: |
General CFD
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| Special Fields: |
Combustion
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| Deadlines: |
December 1, 2019 (registration)
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| Type of Event: |
Course, International
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| Description: |
PROGRAMME:
Wednesday, December 11, 2019
Day 1: Best practices guidelines for CFD of turbulent combustion &
introduction to data-driven approaches
9:00 Basis of turbulent combustion modeling
Lecturer: Luc Vervisch
10:00 Modeling pollutant emissions and NOx reduction
Lecturer: Luc Vervisch
11:00 Validation of CFD models for conventional and MILD
combustion
Lecturer: Dirk Roekaerts
13:30 Validation of CFD models for turbulent combustion of sprays
Lecturer: Dirk Roekaerts
14:30 Introduction to use of machine learning in combustion
Lecturer: Alessandro Parente
16:00 Examples of feature extraction, regression and model reduction
for combustion applications
Lecturer: Alessandro Parente
17:00 Final discussion
17:30 Close
Evening: Course dinner
Thursday, December 12, 2019
Day 2: CFD for physics-informed, data-driven models in combustion
9:00 Machine-learning based techniques for error estimation in
combustion modelling
Lecturer: Heinz Pitsch
10:00 Improving the fidelity of turbulent combustion simulations
using machine learning
Lecturer: Heinz Pitsch
11:30 Chemistry reduction in combustion simulations using
unsupervised classification and mechanism reduction I
Lecturer: Alberto Cuoci
13:30 Chemistry reduction in combustion simulations using
unsupervised classification and mechanism reduction II
Lecturer: Alberto Cuoci
14:30 Mini workshop on combustion CFD applications:
Participants and lecturers are invited to give a short presentation on a
combustion CFD application using the CFD tools of their interest, with
emphasis on challenging issues. The discussion will focus on which
best practices can be identified for the presented cases.
16:00 Final conclusions and closure
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Event record first posted on August 30, 2019, last modified on August 30, 2019
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