Mechanism Design and Simulation

Every mechanical engineer learns mechanism equations, but few develop intuition for how parameter changes propagate through an entire kinematic chain. This course pairs interactive browser-based simulators with structured experiments that force you to predict, observe, measure, and analyze, closing the gap between textbook formulas and engineering judgment. #MechanismDesign #Kinematics #EngineeringSimulation

Why Simulator-Based Experiments?

See What Equations Hide

A crank-slider has 4 parameters that produce 7 output curves. No human holds all those relationships in their head. Simulators make them visible and explorable in seconds.

Break Things Safely

Push a mechanism past its design limits, watch it fail geometrically, observe singularities and dead zones. Physical prototypes are expensive; simulator crashes are free.

Real Data, Real Analysis

Export CSV data from every experiment, then process it with Python scripts provided in each lesson. Compute integrals, fit curves, compare configurations, all with real engineering data.

Professional Output

Generate lab reports, design specifications, and CAD models directly from your simulation parameters. Every experiment produces artifacts you can submit or use in design reviews.

Course Structure

Each lesson follows a consistent lab workflow:

Predict Before touching the simulator, calculate expected values by hand or estimate behavior from theory. Write down your predictions.
Simulate and Collect Data Run the experiment using the interactive simulator. Record measurements, export CSV files, capture plots.
Analyze with Python Use the provided scripts to process your data. Compare analytical predictions with simulation results. Quantify errors and identify their sources.
Design Insight Each experiment ends with a design question that connects the kinematic analysis to a real engineering decision: motor sizing, material selection, geometry optimization.

Lessons

Lesson 1: Crank-Slider Mechanism Experiments

Start here. Eight structured experiments covering quick-return behavior, rod ratio effects, force analysis, breaking mechanisms, and dead center dynamics. Includes Python analysis scripts and self-checking expected results. Uses the Crank-Slider Mechanism Simulator.

Lesson 2: Four-Bar Linkage Experiments

Begin. Eight structured experiments covering Grashof condition, transmission angle, crank-rocker vs double-rocker, open/crossed circuits, coupler curves, parametric sensitivity, angular acceleration, and breaking mechanisms. Includes Python analysis scripts. Uses the Four-Bar Linkage Simulator.

Prerequisites

Required Basic trigonometry (sin, cos, atan2) and ability to read x-y plots

Required Python 3.x with NumPy and Matplotlib installed (for data analysis scripts)

Helpful Introductory physics or dynamics (concepts of velocity, acceleration, force)

Helpful Familiarity with CSV files and basic spreadsheet operations

Getting Started

Open the simulator Each lesson links to its corresponding interactive simulator. No installation needed; it runs in your browser.
Read the experiment brief Each experiment states what to configure, what to measure, and what questions to answer.
Run experiments and export data Use the simulator’s “Run Full Experiment” button and download CSV/PNG files as instructed.
Analyze with provided Python scripts Copy the Python code blocks from each experiment into your local environment. The scripts load your exported CSV and produce the required analysis.