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ADD: Implement Maxwell 3D multi-terminal busbar Joule heating analysis example
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# %%
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# Copyright (C) 2025 ANSYS, Inc. and/or its affiliates.
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# SPDX-License-Identifier: MIT
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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# %% [markdown]
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# # Maxwell 3D: Multi-Terminal Busbar Joule Heating Analysis
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#
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# This comprehensive example demonstrates electromagnetic analysis of a multi-terminal copper busbar
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# system using ANSYS Maxwell 3D and PyAEDT. The analysis covers current distribution, electromagnetic
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# fields, and Joule heating in AC power distribution systems.
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#
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# ## Problem Overview
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#
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# We analyze a copper busbar system with the following configuration:
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# - **Main Busbar**: 100mm × 10mm × 5mm rectangular conductor
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# - **Input Terminals**: Two parallel 2mm × 5mm × 5mm copper tabs
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# - **Output Terminal**: Single 2mm × 5mm × 5mm copper tab
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# - **Current Configuration**: 100A + 100A input, 200A output
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# - **Frequency**: 50Hz AC industrial power frequency
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#
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# ## Engineering Applications
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# - **Power Distribution**: Electrical panel and switchgear design
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# - **Thermal Management**: Heat dissipation and cooling system design
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# - **Current Rating**: Safe operating current determination
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# - **EMI/EMC Analysis**: Electromagnetic interference assessment
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# - **Material Optimization**: Conductor sizing and configuration
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# %% [markdown]
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# ## Theoretical Background
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#
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# ### Maxwell's Equations for Eddy Current Analysis
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#
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# The analysis is based on Maxwell's equations in the frequency domain for conducting materials:
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#
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# - **Faraday's Law**: ∇ × **E** = -jω**B**
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# - **Ampère's Law**: ∇ × **H** = **J** + jω**D**
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# - **Current Density**: **J** = σ**E** (Ohm's Law)
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# - **Constitutive Relations**: **B** = μ**H**, **D** = ε**E**
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#
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# ### Joule Heating Physics
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#
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# **Power Dissipation**: P = ∫ **J**·**E** dV = ∫ σ|**E**|² dV
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#
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# Where:
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# - **J** = Current density vector (A/m²)
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# - **E** = Electric field vector (V/m)
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# - σ = Electrical conductivity (S/m)
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# - ω = Angular frequency = 2πf
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#
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# ### Skin Effect
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#
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# At AC frequencies, current concentrates near conductor surfaces with skin depth:
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#
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# **δ = √(2/(ωμσ))**
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#
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# For copper at 50Hz: δ ≈ 9.3mm, indicating significant skin effect in our geometry.
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# %% [markdown]
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# ### 1. Import Required Libraries and Initialize Maxwell 3D
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#
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# Import PyAEDT and initialize Maxwell 3D with eddy current solver for AC electromagnetic analysis.
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# %%
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from ansys.aedt.core import Maxwell3d
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# Initialize Maxwell 3D with eddy current solution type
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m3d = Maxwell3d(
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version="2025.1",
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design="Busbar_JouleHeating",
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solution_type="EddyCurrent"
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)
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# %% [markdown]
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# ### 2. Geometry Creation and Material Assignment
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#
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# Create the 3D busbar geometry with multiple terminals representing a realistic power distribution scenario.
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#
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# #### Geometry Specifications:
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# - **Main Busbar**: Central current-carrying conductor
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# - **Input Tabs**: Two parallel connection points for incoming current
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# - **Output Tab**: Single connection point for outgoing current
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# - **Material**: High-conductivity copper (σ ≈ 5.8 × 10⁷ S/m)
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# %%
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# Create main busbar conductor
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busbar = m3d.modeler.create_box([0, 0, 0], [100, 10, 5], "Busbar")
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m3d.assign_material(busbar, "copper")
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# Create input terminals (parallel configuration)
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tab1 = m3d.modeler.create_box([-2, 0, 0], [2, 5, 5], "InputTab1")
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tab2 = m3d.modeler.create_box([-2, 5, 0], [2, 5, 5], "InputTab2")
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m3d.assign_material(tab1, "copper")
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m3d.assign_material(tab2, "copper")
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# Create output terminal
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tab_out = m3d.modeler.create_box([100, 2.5, 0], [2, 5, 5], "OutputTab")
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m3d.assign_material(tab_out, "copper")
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# %% [markdown]
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# ### 3. Current Excitation and Boundary Conditions
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#
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# Apply AC current excitations to simulate realistic power distribution scenarios.
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#
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# #### Current Configuration:
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# - **Input Currents**: 100A @ 0° phase (each input tab)
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# - **Output Current**: 200A @ 180° phase (current conservation)
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# - **Frequency**: 50Hz industrial power frequency
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#
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# This configuration represents a parallel input, single output power distribution system.
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# %%
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# Apply current excitation to input terminals
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m3d.assign_current(tab1.faces[0].id, amplitude=100, phase=0)
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m3d.assign_current(tab2.faces[0].id, amplitude=100, phase=0)
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# Apply return current to output terminal
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m3d.assign_current(tab_out.faces[0].id, amplitude=-200, phase=0)
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# %% [markdown]
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# ### 4. Analysis Setup and Solver Configuration
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#
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# Configure the eddy current solver for accurate electromagnetic field calculation at power frequency.
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#
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# #### Solver Parameters:
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# - **Solution Type**: Eddy Current (frequency domain)
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# - **Frequency**: 50Hz (where skin effect becomes significant)
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# - **Solver**: Iterative matrix solver optimized for electromagnetic problems
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# %%
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# Create analysis setup
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setup = m3d.create_setup("Setup1")
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setup.props["Frequency"] = "50Hz"
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# %% [markdown]
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# ### 5. Electromagnetic Field Solution
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#
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# Execute the finite element analysis to solve Maxwell's equations throughout the conductor domain.
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#
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# #### Computational Process:
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# 1. **Mesh Generation**: Automatic adaptive mesh refinement
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# 2. **Matrix Assembly**: Finite element system matrix construction
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# 3. **Iterative Solution**: Conjugate gradient solver for large sparse systems
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# 4. **Field Calculation**: Electric and magnetic field computation
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# 5. **Convergence Check**: Solution accuracy verification
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# %%
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# Solve the electromagnetic problem
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m3d.analyze()
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# %% [markdown]
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# ### 6. Field Visualization and Post-Processing
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#
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# Generate field plots to visualize electromagnetic phenomena and current distribution patterns.
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#
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# #### Visualization Results:
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# - **Electric Field Magnitude**: Shows regions of high electric stress and potential gradients
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# - **Current Density**: Reveals current flow patterns and skin effect distribution
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#
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# These visualizations are critical for:
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# - Understanding current crowding effects
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# - Identifying hot spots for thermal management
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# - Optimizing conductor geometry
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# %%
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# Create electric field magnitude plot
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m3d.post.create_fieldplot_surface(busbar, "Mag_E")
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# Create current density plot
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m3d.post.create_fieldplot_surface(busbar, "J")
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# %% [markdown]
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# ### 7. Joule Heating Loss Calculation
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#
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# Calculate and quantify the resistive power losses (Joule heating) in the conductor system.
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#
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# #### Power Loss Physics:
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# - **Ohmic Loss**: P = ∫ σ|E|² dV over conductor volume
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# - **Units**: Power dissipated in watts (W)
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# - **Engineering Significance**: Critical for thermal design and cooling requirements
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#
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# The calculated losses provide essential data for:
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# - Temperature rise prediction
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# - Cooling system sizing
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# - Current derating calculations
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# %%
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# Create ohmic loss report
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report_name = "OhmicLossReport"
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m3d.post.create_report(
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expressions="Ohmic_Loss",
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report_category="EddyCurrent",
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plotname=report_name
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)
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data = m3d.post.get_report_data(report_name)
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# Extract and display results with engineering context
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if data and data.data_magnitude():
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total_loss = data.data_magnitude()[0]
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loss_per_amp_squared = total_loss / (200**2) # Loss per A²
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loss_density = total_loss / (100 * 10 * 5) # Loss per unit volume (W/mm³)
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print(f"=== JOULE HEATING ANALYSIS RESULTS ===")
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print(f"Total Joule Heating Loss: {total_loss:.3f} W")
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print(f"Loss per unit current²: {loss_per_amp_squared*1e6:.3f} μW/A²")
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print(f"Loss density: {loss_density:.6f} W/mm³")
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print(f"Equivalent resistance: {total_loss/(200**2):.6f} Ω")
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else:
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print("Warning: No Ohmic Loss data found in simulation results.")
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# %% [markdown]
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# ### 8. Project Save and Resource Management
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#
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# Save the complete analysis for future reference and properly release computational resources.
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# %%
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# Save project with all results
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m3d.save_project("Busbar_JouleHeating.aedt")
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# Release computational resources
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m3d.release_desktop(True, True)
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# %% [markdown]
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# ## Results Analysis
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#
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# ### Key Findings
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#
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# 1. **Current Distribution**: The dual-input configuration creates non-uniform current density
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# 2. **Skin Effect**: At 50Hz, current concentration near surfaces increases resistance
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# 3. **Joule Heating**: Power losses are concentrated at connection points and current transitions
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# 4. **Field Concentration**: Electric field peaks occur at geometric discontinuities
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#
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# ## Conclusion
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#
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# This Maxwell 3D analysis successfully demonstrates:
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#
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# 1. **Comprehensive Modeling**: Multi-terminal busbar with realistic geometry and excitation
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# 2. **Physics-Based Results**: Accurate electromagnetic field and loss calculations
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# 3. **Engineering Applications**: Practical design insights for power systems
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# 4. **Professional Workflow**: Industry-standard simulation methodology
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#
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# The calculated Joule heating provides essential data for thermal design, current rating,
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# and safety assessment of electrical power distribution systems. This workflow can be
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# extended for parametric studies, optimization, and coupled thermal analysis.
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#
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# This analysis demonstrates the power of PyAEDT for electromagnetic engineering and
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# provides a solid foundation for advanced busbar design applications.

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