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Abaqus Thermal Analysis

CommunityPopular
Cai-aa
abaqus-thermal-analysis

Complete workflow for heat transfer analysis - steady-state and transient thermal. Use when user asks about temperature distribution, conduction, convection, or heat flow.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill nameabaqus-thermal-analysis
Stars
1K
Forks
130
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Cai-aa on GitHub. Read the source before you install it.

Installation

Install the Abaqus Thermal Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/analysis/abaqus-thermal-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git /tmp/CAE-Agent-Hub
mkdir -p .claude/skills
cp -r /tmp/CAE-Agent-Hub/Skill/abaqus/analysis/abaqus-thermal-analysis .claude/skills/abaqus-thermal-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Thermal Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Abaqus Thermal Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Abaqus Thermal Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Abaqus Thermal Analysis Workflow

Heat transfer analysis for steady-state or transient temperature distribution. Use when user needs temperature field without mechanical stress.

When to Use This Skill

Route here when user mentions:

  • "Heat transfer analysis", "temperature distribution"
  • "How hot will it get?", "thermal analysis"
  • "Conduction", "convection", "radiation"
  • "Heat sink design", "cooling analysis"
  • "Steady-state temperature", "transient heating/cooling"

Route elsewhere:

  • Thermal stress (temperature causing deformation) → /abaqus-coupled-analysis
  • Just stress analysis → /abaqus-static-analysis
  • Temperature as initial condition only → /abaqus-field

Prerequisites

Before thermal analysis:

  1. Geometry defined
  2. Thermal conductivity (k) - required for all thermal analysis
  3. For transient: also need density (ρ) and specific heat (cp)

Workflow: Thermal Analysis

Step 1: Understand User's Goal

Ask if unclear:

  • Steady-state or transient? Final equilibrium vs temperature over time?
  • Boundary temperatures? Fixed temperature surfaces?
  • Convection? Film coefficient and ambient temperature?
  • Heat sources? Applied heat flux or internal heat generation?

Step 2: Choose Analysis Type

User WantsAnalysis Type
Final equilibrium temperatureSTEADY_STATE
Temperature vs time historyTRANSIENT
Cool-down or heat-up timeTRANSIENT
Just the end resultSTEADY_STATE

Decision rule: Use steady-state unless user needs temperature history or time-dependent behavior.

Step 3: Define Thermal Material Properties

PropertyRequired ForUnits (SI-mm)
Conductivity (k)All thermalmW/(mm·K)
Specific heat (cp)TransientmJ/(tonne·K)
Density (ρ)Transienttonne/mm³

Common materials (SI-mm units):

Materialkcpρ
Steel505.0e117.85e-9
Aluminum1679.0e112.70e-9
Copper3853.85e118.96e-9

Step 4: Apply Thermal Boundary Conditions

BC TypeUse ForRequired Inputs
TemperatureBCFixed temperature surfaceTemperature value
FilmConditionConvection to ambientFilm coeff, sink temp
SurfaceHeatFluxHeat inputFlux magnitude (mW/mm²)
RadiationToAmbientRadiation coolingEmissivity, ambient temp
BodyHeatFluxInternal heat generationVolumetric heat rate

Minimum requirement: At least one temperature BC or heat flux boundary.

Step 5: Create Heat Transfer Step

ParameterSteady-StateTransient
responseSTEADY_STATETRANSIENT
timePeriod1.0 (arbitrary)Actual duration (s)
initialInc-Start increment
maxInc-Largest allowed increment
deltmx-Max temp change per increment

Step 6: Mesh with Heat Transfer Elements

ElementUse
DC3D8Standard 8-node hex (recommended)
DC3D44-node tet (for complex geometry)
DC3D2020-node hex (high accuracy)

Note: Heat transfer elements (DC*) are different from structural elements (C3D*).

Step 7: Run Analysis and Extract Results

Request these field outputs:

  • NT - Nodal temperature
  • HFL - Heat flux vector
  • RFL - Reaction heat flux
  • HFLM - Heat flux magnitude

Validation Checklist

After analysis, verify:

  • Temperature range is physically reasonable
  • Heat balance: flux in ≈ flux out (steady-state)
  • No unexpected hot/cold spots
  • Transient: temperature stabilizes by end of analysis

Troubleshooting

ProblemLikely CauseSolution
Temperature oscillationLarge increments in transientReduce maxInc or deltmx
Non-physical temperatureUnit mismatchVerify k, cp, ρ units
No heat flowMissing BC or bad regionCheck boundary conditions
Negative temperature (Kelvin)Bad setupReview initial conditions

Related Skills

  • /abaqus-coupled-analysis - Thermal + structural (thermomechanical)
  • /abaqus-material - Thermal material properties
  • /abaqus-field - Initial temperature fields

Code Patterns

For API syntax and code examples, see:

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Abaqus Thermal Analysis AI skill do?

Complete workflow for heat transfer analysis - steady-state and transient thermal. Use when user asks about temperature distribution, conduction, convection, or heat flow.

Why use Abaqus Thermal Analysis on TypingMind?

Because you install it once and use it with any model. Abaqus Thermal Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Abaqus Thermal Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/analysis/abaqus-thermal-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Abaqus Thermal Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Abaqus Thermal Analysis?

As many as you like. As long as a model supports skills, you can use Abaqus Thermal Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Abaqus Thermal Analysis AI skill free?

Yes. It is published on GitHub by Cai-aa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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