IC Engine Calibration using GT-POWER and GT-SUITE
RELATED RECENT PLACEMENTS
Kirankrishna M
advance technologies
SDM Institute of Technology Institute of technology in Ujire, Karnataka
MUJTABA HILAL
Amit Bangre Consulting Limited
Swami Vivekananda Institute of Science & Technology
ARJUN PP
Altener Solutions Private Limited
Government Polytechnic College Kannur Polytechnic college in Kerala
Smita Suryavanshi
Deloitte
KLE Dr. M.S. Sheshgiri College of Engineering and Technology
Jitendra kumar Vishwakarma
Mando Softtech India Pvt. Ltd.
Ambition institute of technology
Meganath Prabu S
Tech Mahindra
C K College of Engineering and Technology
SRITHARAN N
Tata Technologies
SNS College of Technology
AnilKumar Hubballi
Aakruthi3D pvt ltd
KLE Polytechnic Bailhongal
Syllabus
This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects
Course Overview
- GT-POWER and GT-SUITE come under the system-simulation domain as it employs sophisticated algorithms to solve fluid flow equations in complex electromechanical systems.
- Students who aspire to work for Automotive OEMs as calibration engineers targeting internal R&D projects can choose to opt for this course.
- This course aims to impart the methodology that goes behind performing such calibrations and analyzing their result.
Course Syllabus
On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.
Week 1-Introduction to GT-POWER and GT-SUITE
- GT-POWER is the industry's first choice when reliable results are needed for engine thermodynamics and combustion/emissions development. The intelligent integration of modules within it [GEM 3D; Cool 3D; GT - VTD; GT - TAItherm ] coupled with Simulink, Star CD, Converge, Fluent and other codes facilitate easy solutions for complex tasks early in the development phase and provide unparalleled accuracy during the detailed design phase.
- Need of a 1D thermodynamic simulation tool
- Overview of GT-POWER, GT valve train, GT cool, GT drive, etc.
- Introduction to GUI
- Templates and libraries
- Representation of engine parts
- Implicit vs Explicit approach
- Navier Stoke equation relevance
Week 2-SI Engine Modelling Techniques
- Over the past decade, there has been an increase in air pollution all around the globe, as well as a recognition that fossil fuels will not be available forever. This has inspired OEMs to develop electrified powertrains. But, this has also opened the door to investigating new technologies that could significantly improve the ‘old-fashioned’ combustion engine in both efficiency and emissions.
- In this section, you will get an in-depth look at the functioning of SI Engine operations.
- Challenges in SI engine modelling
- Combustion modelling approach
- Port injection and gasoline direct injection approach
- Tumble modelling
- Gas exchange modelling and analysis
Week 3-Case Study on SI Engine
- Virtual prototyping is an efficient and effective way to test new ideas.
- In this module, you will look into some aspects of the SI Engine, including the basics of fuel spray in the combustion chamber, spray and wall film models accounting for premixed and sooting diffusion combustion, detecting knock, and precise heat transfer modeling.
- Engine specifications for modelling
- Prediction of performance and emissions
Week 4-CI Engine Modelling Techniques
- Understanding the mechanics of modelling combustion in a CI engine. These solutions play an integral role in engine simulations to accurately predict performance, fuel consumption, and engine-out emissions. Various models are available to predict combustion and pollutant formation based on in-cylinder conditions, knock, cycle-to-cycle variation (CCV), and other related processes.
- Challenges in CI Engine Modelling
- DI Pulse Combustion Modelling Approach
- Swirl Modelling
- Turbocharger Modelling
Week 5-Case Study on CI Engine
- To further our understanding by modelling an ‘On road’ application by calibrating critical CI Engine concepts such as ignition delay time for mixtures of air, fuel, and residual gases using detailed kinetics.
- This challenge enables the user to understand the correlations for ignition delay (CI) or knock (SI) that consider the effect of pressure, temperature, equivalence ratio, residual gas fraction, fuel composition, etc.
- Engine specifications for modelling
- Performance and emission prediction
Week 6-Turbocharger and Supercharger Modelling
- Turbocharging allows automakers to reduce engine size and emissions while continuing to deliver the power and performance consumers demand.
- Students will be taken across the turbine and compressor mechanics to understand the fluid flow and to improve overall engine performance, reduce pollutant formation, optimise NVH and ensure component durability.
- Fixed geometry TC modelling
- Wastegate TC modelling
- Variable geometry turbine modelling
- Two stage turbocharger modelling
- Supercharger modelling
- eTurbo modelling
Week 7-Case Study on FRM Builder
- GT-POWER engine models and their validated solution methodologies, can be used by the controls system engineer for ECU development, calibration, and testing to generate a fast running, real-time capable engine plant model.
- With seamless integration to Simulink and the most popular real-time software tools, controls engineers are empowered with the ability to run fully physical, crank angle resolved models, capable of predicting pressure wave dynamics and in-cylinder combustion in a real-time environment.
- Advanced control strategies, such as combustion control, can now be tested with a detailed physical engine model at significantly faster computation speeds with minimum effort and maximum accuracy, predictiveness, and fidelity.
- Introduction to FRM builder
- Modeling of various engines using FRM builder approach
- Crank-angle resolved, physically conservative formulation for accurate results
- Built-in DOE and Neural Network trainer for MV model development
Week 8-Aftertreatment Modelling Techniques
- The starting point for the development and optimisation of exhaust gas aftertreatment systems is 1D simulation.
- GT’s Quasi-steady state AFT solver offers unmatched modelling depth, simple model setup, and extremely short simulation times-faster than real-time if desired.
- It solves the very demanding fluid flow, heat transfer, and chemical reactions taking place in the aftertreatment systems of modern IC engines by employing the most advanced set of physics and chemistry models.
- An introduction to chemical kinetics
- Modelling of precious metal catalysts
- Pre-defined test cases and scenarios
Week 9-Case Study on 3-way Cat DOC DPF and SCR System
- For the detailed 1D and 2D design of exhaust gas after-treatment components, GT-SUITE offers outstanding capabilities for modelling all relevant physics and chemistry. This makes it a crucial element in the design, development and optimization of both diesel and gasoline after-treatment devices.
- Together with GEM 3D, it forms a unique and dependable 1D/3D solution that can be applied consistently throughout the layout, concept and detailed design stages in both component and system development to provide a seamless development approach with the reuse of models and results among tools, assuring maximum consistency and efficiency. The after-treatment system performance data integrated into in-vehicle models is used to predict drive cycle emissions.
- Modelling 3-way cat con
- Modelling DOC
- Modelling DPF
- Modelling SCR
Week 10-Optimization Techniques
- Every GT license includes full access to a built-in optimizer that allows optimization of any combination of model inputs (factors) to maximize, minimize, or target any single or multiple model outputs (responses).
- Key features include Multiple local and global search algorithms to explore design trade-offs among multiple competing responses and constraints with the multi-objective Pareto optimization tool and the NSGA-III [Genetic search algorithm].
- Design of experiments
- Single-factor optimization
- Multi-objective optimization
- Case study on gas exchange optimization
Week 11-Discretization Techniques
- GEM3D is a 3D graphical pre-processor that combines building and importing tools used to create 1D GT-SUITE models from 3D geometries. From primitive components like pipes, flowsplits, etc. it can also be used to import 3D CAD models from other applications, like GT-SPACECLAIM.
- Introduction to SPACECLAIM
- Overview of GEM 3D
- Discretizing intake manifold
- Discretizing exhaust manifold
Week 12-Hybrid Engine Modelling
- Build any hybrid configuration with any level of electrification, including but not limited to: 48-volt mild hybrids with an electric boost, strong power-split hybrids (HEV), parallel through-the road (TTR) plug-in hybrids (PHEV), or battery electric vehicles (BEV) using a comprehensive control library, including finite state machines in GT-SUITE, or co-simulate with Simulink to develop and optimise control algorithms.
- Overview of hybrid system configuration
- Modeling of P0 and P1 configurations
- Built-in optimization and DOE tools to evaluate architectures, components, and control strategies.
Our courses have been designed by industry experts to help students achieve their dream careers
Industry Projects
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 3 Projects that are available in this program.
Thermodynamic Analysis of a Commercial Application Tractor Engine
Modelling of an AFT System
Optimization using GT- Suite’s IDO [Integrated Design Optimizer]
Our courses have been designed by industry experts to help students achieve their dream careers
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Instructors profiles
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
11 years in the experience range
Instructors with 11 years extensive industry experience.
Areas of expertise
- Engine & Emission Control
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