Modelica System Simulation Training is an advanced, hands-on program designed to equip learners with the skills required to model, simulate, and analyze complex multi-domain engineering systems using Modelica. This training focuses on equation-based modeling, object-oriented system design, reusable component libraries, multi-physics simulation, and real-world engineering applications. Participants will gain practical experience in building scalable system models across mechanical, electrical, thermal, and control domains.

• Strong understanding of Modelica modeling principles
• Ability to simulate multi-domain engineering systems
• Skills in object-oriented system modeling
• Knowledge of dynamic system behavior analysis
• Capability to build scalable simulation models

• Simulation and Modeling Engineers
• Mechanical, Electrical, and Mechatronics Engineers
• Automotive and Aerospace Engineers
• R&D and Product Development Engineers
• Academic researchers and postgraduate students

• Basic understanding of engineering mathematics
• Familiarity with programming concepts is helpful
• Basic knowledge of system dynamics or simulation is recommended
• Prior exposure to OpenModelica or similar tools is an advantage

• Advanced Modelica language proficiency
• Multi-domain system modeling and simulation
• Object-oriented modeling for engineering systems
• Component-based reusable system design
• Dynamic system behavior analysis
• Simulation debugging and performance tuning
• Engineering system optimization techniques

Upon completion of this training, participants will be able to design and simulate complex engineering systems using Modelica. They will be capable of building reusable component-based models, analyzing multi-domain system behavior, and applying simulation techniques to real-world engineering problems.

Introduction to Modelica and Equation-Based Modeling
• Overview of Modelica ecosystem and applications
• Object-oriented and equation-based modeling concepts
• Modelica language structure and syntax fundamentals
• Setting up simulation environments

Fundamentals of System Modeling
x=f(x,u,t)

• State-space representation of dynamic systems
• Continuous system modeling concepts
• Physical system abstraction techniques
• Basic simulation workflow in Modelica

Component-Based Modeling Architecture
• Components, connectors, and interfaces
• Building reusable system models
• Hierarchical model structuring
• Introduction to standard Modelica libraries

Hands-on exercises

Multi-Domain Physical System Modeling
• Mechanical system modeling (translational and rotational)
• Electrical system modeling basics
• Thermal system modeling fundamentals
• Coupled system interactions

Dynamic System Simulation Concepts
x(t)=Aeλt

• System response and stability concepts
• Eigenvalues and transient behavior analysis
• Time-domain simulation techniques
• Parameter sensitivity analysis

Control System Integration Basics
• Feedback system modeling
• Closed-loop system representation
• Introduction to controllers in Modelica
• System response tuning

Hands-on exercises

Advanced Modeling Techniques and Optimization
• Advanced component design strategies
• Parameterized and scalable models
• Model reuse and library development
• Debugging and error handling in simulations

System-Level Simulation and Analysis
• Large-scale system modeling approaches
• Performance analysis and bottleneck identification
• Validation of simulation results
• Scenario-based testing

Industry Applications and Case Studies
• Automotive system simulation
• Aerospace and mechatronics applications
• Energy systems modeling
• Industrial digital twin concepts using Modelica

Hands-on exercises

• Modelica language fundamentals
• Equation-based modeling concepts
• Mechanical, electrical, and thermal systems
• Dynamic system simulation
• Control system integration
• Advanced system modeling techniques

• System modeling assignments
• Multi-domain simulation tasks
• Component-based design exercises
• Final system simulation project

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in Modelica System Simulation Training, validating their expertise in equation-based modeling, multi-domain simulation, and advanced engineering system design using Modelica.