Thermal Management¶
Thermal management is a critical aspect of CubeSat design. This section looks at how to model, monitor, and control temperatures in orbit, including passive methods (like coatings and conduction paths) and active systems (like heaters or thermal straps). It also covers testing and simulation tools for predicting thermal behavior across mission phases.
Thermal Environment in Orbit¶
To be added here:
- Solar radiation, albedo, and Earth IR
- Eclipse cycles and orbital effects
- Attitude-dependent heating
- Differences between LEO, SSO, and higher orbits
Thermal Requirements and Limits¶
To be added here:
- Component operating and survival temperatures
- Derating and margin practices
- Payload-driven vs. bus-driven requirements
- Thermal constraints across mission modes
Approaches to Thermal Management¶
Passive Thermal Control¶
To be added here:
- Surface finishes and coatings
- Conduction paths and thermal coupling
- Radiators and geometry considerations
- Insulation and isolation strategies
Active Thermal Control¶
To be added here:
- Heaters and heater control logic
- Thermal straps and heat pipes
- Power and control implications
- Failure modes and safeguards
Thermal Modelling and Simulation¶
To be added here:
- Lumped-parameter vs. detailed models
- Steady-state and transient analysis
- Toolchains commonly used for CubeSats
- Using models to inform design decisions
Thermal Monitoring and Telemetry¶
To be added here:
- Temperature sensor placement
- Sampling rates and resolution
- Telemetry interpretation and trending
- Detecting anomalies and degradation
Thermal Interaction with Other Subsystems¶
To be added here:
- EPS and battery thermal considerations
- Payload heat generation
- OBC and high-power compute effects
- Structural and mechanical coupling
Thermal Testing and Validation¶
To be added here:
- Thermal vacuum (TVAC) testing
- Thermal balance vs. thermal cycling tests
- Correlating test results with models
- Common testing pitfalls
Thermal Design Tradeoffs¶
To be added here:
- Simplicity vs. controllability
- Mass, power, and complexity impacts
- Designing for worst-case vs. typical cases
- Lessons learned from flown missions
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