Interactive Heat Flux Data
With thermocouples, only an indirect calculation of heat flux is possible, often leading to delayed and less accurate readings during rapid thermal transitions. In contrast, our sensors convert heat flux directly into precise electrical signals. This innovative approach minimizes measurement errors and ensures that even the briefest thermal events are captured with exceptional clarity.
By bypassing the limitations inherent in traditional thermocouple technology, our sensor delivers ultrafast response time and accuracy, making it the ideal choice for high-demand applications across industries such as aerospace, electronics, automotive testing, and beyond. Whether you’re optimizing thermal management in cutting-edge electronics or pushing the limits of performance in dynamic testing environments, our heat flux sensors stand out.
But don’t just take our word for it—experience the precision firsthand. Visit our interactive example data plots. Explore our example heat flux data and see for yourself how our sensor can outperform conventional thermocouple technology.
Second-Domain
Subsonic hot flows
- Low noise signal in the “no-flow”-time of the test bench
- Fast response when flow starts
- High frequent flow fluctuation data enable the determination of fluctuations, flow vorties and turbulence effects
- Fast settling time (constrained by the flow inertia)
Millisecond-Domain
Combustion engines
- Large transient signals during the combustion are finely resolved
- Large signal range from several W/cm2 up to 1000 W/cm2
- Engine wall losses and local hot spots can be accuartly determined
- Evaluation of charge movements, valve timings and engine missfire is possible
- No susceptibilities to structure-borne-noise
Microsecond-Domain
Detonation process
- Highly transient signal when the detonation front is present - resolving single fronts is possible
- Large signal range from several 10 kW/cm2 up to 50 kW/cm2
- Engine wall losses and local hot spots can be accuartly determined
- Evaluation of cycle frequency, combustion effectiveness and engine missfire is possible
- No susceptibilities to structure-borne-noise
FAQ: Heat Flux Data
Heat Flux or Temperature data: Why should I care about heat flux data instead of temperature?
Because heat flux shows the energy flow, the temperature only shows the after-effect. Most relevant thermal events are either (1) very short and transient, or (2) very slow and smooth with barely any temperature change. In both cases heat flux measurement supports are better understanding because it responds to tiny gradients and can reveal a change long before temperature visibly moves.
Example: runaway
At onset, temperature still looks flat but heat flux already spikes. That spike is an early warning.
What about ultra-fast events?
Our ALTP method adds <1 µs response time. That means we can capture energy transfer events that remain completely invisible to temperature sensors.
How can I analyse heat flux data?
By treating it like any other physical flow. You look at the shape, detect deviations, integrate when needed for energy blanches or differentiate for temperature gradients. From heat flux data you can compute actual energy (J/m²), compare regimes, segment events and validate models directly, without undoing the delay and smoothing that temperature always imposes.
Why not just measure temperature and “convert” to heat flux?
Because this approach leads directly into an inverse problem with complicated conditioning. Converting temperature to heat flux amplifies noise, especially under experimental boundary conditions. With temperature you have a Dirichlet boundary. But the quantity you actually need for your model is a Neumann boundary. Direct heat flux measurement bypasses that entire inversion.
You measure the Neumann condition directly – and the physics becomes stable, interpretable and significantly easier to implement into any FE or CFD simulation model.
How accurate is a heat flux measurement?
This depends on the mounting conditions and the overall environmental conditions. Typical absolute accuracy starts in the single-digit percent range up to 20%. Repeatability is often noticeable better.
Can Hudyne provide more example heat flux data?
Yes, we do have data available. However, we never pass on measured customer data to third parties.
