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: subir.mandal@integratedsimtech.com 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