How to Use This Roadmap
CAE stands for "Computer-Aided Engineering" and is a core technology in product development across automotive, aerospace, electronics, and virtually all manufacturing industries. Many self-learners struggle with "where to start," so this page presents a structured learning path from Level 1 (Physics Fundamentals) to Level 6 (Advanced Analysis) using NovaSolver's simulators. The tool links in each level serve as hands-on learning materials you can use immediately.
Overview (6 Levels)
Foundation
Structural
Methods
Method
Thermal
Analysis
This phase builds the foundation of CAE through hands-on experience with classical mechanics, vibrations, and thermodynamics. Rather than just reading equations, it's crucial to develop intuition by tweaking parameters in simulators: Why does a pendulum's period depend only on its length? Why is the natural frequency of a spring-mass system equal to sqrt(k/m)? Master these fundamentals first.
- Understand Newton's equation of motion and solve a 1-DOF vibration system
- Explain the concepts of natural frequency, damping ratio, and resonance
- Understand the basic principles of Fourier transforms and their applications
- Understand the heat conduction equation (Fourier's law) and boundary conditions
- Perform basic linear algebra (matrices, eigenvalues) calculations
Master the solid mechanics that form the backbone of CAE structural analysis. Learn stress-strain relationships, beam bending and shear, column buckling, and fatigue design, which is essential in practice. For Mohr's circle, try solving it by hand first, then verify with the simulator for best results.
- Explain and calculate Hooke's law, Young's modulus, and Poisson's ratio
- Determine bending stress and shear stress distributions in beams
- Find principal stresses and directions using Mohr's circle
- Calculate Euler buckling loads and understand the effect of boundary conditions
- Evaluate fatigue design safety using the modified Goodman diagram
Since FEM and CFD are numerical methods, understanding the nature of errors is essential. What is truncation error in finite differences? How does mesh refinement change results? Is the solution truly converged? Use the GCI method to verify. Experience these concepts hands-on with the simulators.
- Understand finite difference method (FDM) principles and accuracy orders (1st, 2nd)
- Explain the mechanisms behind CFL condition, numerical diffusion, and oscillation
- Quantitatively evaluate mesh dependence using the GCI (Grid Convergence Index)
- Properly report uncertainty in analysis results (V&V introduction)
This is the phase for serious FEM study, the backbone of CAE. Learn stiffness matrix assembly, isoparametric elements, nonlinear analysis (material and geometric), and structural optimization. Start with hand calculations of truss FEM and gradually step up to software (Calculix, Abaqus, Ansys).
- Understand the principle of virtual work, weak form, and Galerkin method derivation
- Calculate shape functions and Jacobian matrices for triangular and quadrilateral elements
- Execute a linear static analysis workflow (mesh, BCs, solver, post-processing)
- Explain SIMP topology optimization principles and appropriate applications
- Calculate K-values and J-integrals and evaluate crack propagation in fracture mechanics
CFD and thermal analysis are two pillars of CAE. Understand the meaning of Reynolds number, boundary layers, turbulence models, and y+, preparing to use CFD solvers like OpenFOAM and Fluent. Also learn standard thermal design methods such as heat exchanger NTU and fin efficiency in parallel.
- Explain the physical meaning of each term in the Navier-Stokes equations
- Understand the relationship between Reynolds number and flow regime (laminar, transition, turbulent)
- Choose between wall functions and resolved boundary layers based on y+ values
- Explain the applicability of major turbulence models (k-epsilon, k-omega SST, etc.)
- Design and evaluate heat exchangers using the NTU-effectiveness method
Explore the cutting edge of CAE: multi-physics coupling (structural-thermal, fluid-structure interaction), control theory integration, probabilistic methods (uncertainty analysis), and machine learning integration. Specialize in your domain while building cross-disciplinary skills.
- Evaluate system stability using Bode and Nyquist plots
- Perform random vibration response analysis using PSD spectra (3-sigma method)
- Set up multi-physics coupling (thermal-structural, fluid-structure interaction)
- Estimate remaining life from crack growth rate (Paris' law)
- Evaluate fatigue cumulative damage under variable loading using Rainflow counting