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Basic Engine Performance Analysis
in GT-POWER (3 days)
A2/19, Sr. No. – ½, 1/3, ¼, 12, Aditya Breeze Park,
Balewadi, Pune, 411045, India.
Mobile: +91-9763909935/7798857873
E-mail: [email protected]
Website: www.integratedsimtech.com
INTEGRATED SIMULATION TECHNOLOGIES
PVT LTD
Preferred Partner in Engine Simulation
Best in GT-SUITE Training
Best to Provide Contract Engineer
This training module is designed for the new users from corporate and individual engineers who are interested to model internal combustion engine using GT-
POWER. The module includes theory, construction of engine models, and use of GT-POWER, GEM-3D & GT-POST software. Participants will get good amount of
time for practice of software. Basics of few advanced topics will also be covered, but not in details. It will cover the following topics:
The participants are expected to have basic knowledge of ICE working. At the end of the session, participants will be in a position to build typical turbocharged ICE,
calculate burn rate from measured cylinder pressure, calibrate engine model using non-predictive combustion model, optimize an engine performance parameter,
post-process and analyze results.
• Duration - 3 days; 1 Session; 8 hrs per day
• Trainer industrial experience - Over 16 years
Agenda:
Introduction to GT-SUITE/ GT-POWER
Modeling of each component of an internal combustion engine including flow circuit, airfilter, turbocharger, supercharger, heat exchanger, EGR system, manifold, port,
valve, fuel injection system, cylinder, cranktrain, controller, and exhaust system devices
Subassemblies - Internal, external, and encryption
Solver basics of flow, heat transfer, combustion, and emissions model
Data required to build and calibrate engine model
Model setup - Initialization, parameter sweeps, convergence, etc
Burn rate calculation from measured cylinder pressure trace
Engine model calibration using non-predictive combustion model for gasoline, gas, and diesel engines
Post-processing using GT-POST
Optimization techniques - Direct/ design of experiments (DOE)
Engine performance prediction and sensitivity study
One real industrial project