Motor-CAD Python Automation

A Python-based automation workflow for Motor-CAD analysis and thermal simulation.

Contents

• motorcad_automation_workflow.ipynb - Jupyter notebook with Motor-CAD automation scripts
• Gen8_3pp.mot - Motor-CAD design file
• Gen8_3pp.txt - Motor-CAD configuration/data export

Overview

This project automates Motor-CAD workflows using Python, including:

• Motor design analysis
• Thermal simulation and calculations
• Electromagnetic performance analysis
• Data processing and visualization

Analyses Performed

• Lab Model Build - Constructs electromagnetic and loss models with configurable saturation methods
• Heat Balance Analysis - Thermal analysis with losses and dissipation calculations
• Efficiency Map - Complete efficiency mapping across speed and current ranges
• Peak Operation - Electromagnetic analysis at peak performance conditions
• Continuous Operation - Steady-state thermal and mechanical performance
• Transient Operation - Dynamic thermal analysis over specified time periods

Generated Graphs

Heat Balance Analysis

• heat_balance.png - Stacked bar chart of losses vs dissipation
• axial_temperatures.png - Axial temperature distribution
• radial_temperatures.png - Radial temperature distribution

Peak Performance

• peak_performance.png - Torque and power curves
• peak_performance_torque_power.png - Combined torque/power graph

Continuous Performance

• continuous_performance.png - Torque and power vs speed
• continuous_max_temperatures.png - Magnet and winding max temperatures
• continuous_performance_torque_power.png - Combined torque/power graph

Efficiency Map

• efficiency_map.png - 2D efficiency contour map

Transient Performance

• transient{duration}s_performance.png - Transient torque and power
• transient{duration}s_max_temperatures.png - Transient magnet and winding temperatures
• transient_{duration}s_torque_power.png - Combined transient torque/power

Requirements

• Python 3.x
• Motor-CAD 2023.2+
• Jupyter Notebook
• NumPy, SciPy, Matplotlib, Seaborn

Usage

Open motorcad_automation_workflow.ipynb in Jupyter Notebook and modify the analysis flags in the "VARIABLE DEFINITION" section to enable/disable specific analyses, then run the cells to execute the automation workflow.