Module #1 Introduction to Turbomachinery Overview of turbomachinery, importance of performance optimization, and course objectives
Module #2 Fundamentals of Turbomachinery Basics of turbomachinery design, types of turbomachinery, and operating principles
Module #3 Performance Metrics for Turbomachinery Understanding key performance metrics such as efficiency, specific speed, and specific diameter
Module #4 Thermodynamic Cycles for Turbomachinery Review of thermodynamic cycles relevant to turbomachinery, including Brayton and Rankine cycles
Module #5 Compressor Performance Optimization Optimization techniques for compressor performance, including blade design and stage matching
Module #6 Compressor Aerodynamics and Heat Transfer Aerodynamic and heat transfer considerations for compressor design and optimization
Module #7 Turbine Performance Optimization Optimization techniques for turbine performance, including blade design and nozzle design
Module #8 Turbine Aerodynamics and Heat Transfer Aerodynamic and heat transfer considerations for turbine design and optimization
Module #9 Gearbox and Bearing Systems Design and optimization of gearbox and bearing systems for turbomachinery
Module #10 Material Selection for Turbomachinery Materials selection for turbomachinery components, including blades, discs, and casings
Module #11 Structural Analysis for Turbomachinery Structural analysis techniques for turbomachinery design, including FEA and CFD
Module #12 Aeromechanical Instability in Turbomachinery Aeromechanical instability phenomena in turbomachinery, including flutter and surge
Module #13 Rotordynamics and Vibration Analysis Rotordynamics and vibration analysis for turbomachinery, including balancing and alignment
Module #14 Cooling Systems for Turbomachinery Design and optimization of cooling systems for turbomachinery, including air and liquid cooling
Module #15 Sealing and Clearance Optimization Optimization of sealing and clearance design for turbomachinery, including labyrinth and honeycomb seals
Module #16 Performance Optimization using CFD and FEA Application of CFD and FEA for performance optimization of turbomachinery components
Module #17 Surrogate-Based Optimization for Turbomachinery Surrogate-based optimization methods for turbomachinery performance optimization, including response surface methodology
Module #18 Multi-Objective Optimization for Turbomachinery Multi-objective optimization methods for turbomachinery performance optimization, including Pareto optimization
Module #19 Machine Learning for Turbomachinery Performance Optimization Application of machine learning techniques for turbomachinery performance optimization, including neural networks and Gaussian processes
Module #20 Unsteady Flow and Turbulence Modeling Unsteady flow and turbulence modeling for turbomachinery, including RANS, LES, and DNS
Module #21 Experimental Methods for Turbomachinery Performance Optimization Experimental methods for turbomachinery performance optimization, including wind tunnel testing and rig testing
Module #22 Instrumentation and Data Acquisition for Turbomachinery Testing Instrumentation and data acquisition techniques for turbomachinery testing, including pressure and temperature measurement
Module #23 Case Studies in Turbomachinery Performance Optimization Real-world case studies of performance optimization for various turbomachinery applications
Module #24 Future Directions in Turbomachinery Performance Optimization Emerging trends and future directions in turbomachinery performance optimization, including digital twin and artificial intelligence
Module #25 Course Wrap-Up & Conclusion Planning next steps in Performance Optimization of Turbomachinery career
