HPT transient thermography
Data-reduction and uncertainty posture for transient infrared thermography on engine-scale turbine hardware, how metal temperature response is interpreted at the Oxford ECAT facility, and what must be documented before RANS comparisons are credible.
Not sure where to start? 4 places to go
Start with your question
Why visitors arrive: You are reducing transient IR data on turbine hardware or reviewing thermography-based heat-transfer results.
Your question: How is transient thermography reduced and uncertainty-budgeted for HPT campaigns?
You may also be asking
- What Biot checks are required?
- How does this pair with CFD?
- Where is the ECAT project context?
Where to go next
- Turbomachinery theme: Research programme home
- HPT deterioration project: Facility and campaign log
- CFD validation article: Simulation pairing
- Publications: Thermal performance manuscript
Temperature traces are not the measurement
Transient infrared thermography on high-pressure turbine vanes produces time-resolved surface temperature fields, but the engineering quantity is usually an inferred heat-transfer coefficient, effectiveness, or Biot-consistent wall temperature that can be compared to simulation. Credible reduction treats emissivity, spatial resolution, and conjugate conduction as part of the model, not post-processing corrections applied after the fact.
- Facility: Engine Component AeroThermal (ECAT) rig, engine-scale pressure ratios and coolant metering representative of in-service hardware
- Campaign context: Rolls-Royce-sponsored HPT leading-edge holing programme, see HPT deterioration project
- Simulation pairing: RANS interpretation documented under CFD-experiment validation: wall temperatures must agree for consistent Biot numbers, not only for convenient contour alignment
Why transient IR on HPT hardware
Steady thermography on cooled turbine vanes conflates inlet boundary-layer state, coolant redistribution, and metal conduction into a single snapshot. Transient techniques, typically a step change in mainstream or coolant conditions with time-resolved surface temperature capture, separate the external convection response from slow conduction effects when the test matrix is designed accordingly.
Leading-edge holing changes both aerodynamic loss and coolant paths. A pristine-blade baseline and a deteriorated hardware line therefore require distinct transient reductions, not a single emissivity map applied across rainbow sets. The turbomachinery deterioration thematic index and the companion aerodynamic and thermal manuscripts track how integrated metrics move with damage; this note documents the measurement chain those arguments depend on.
Data-reduction workflow
The sequence below reflects ECAT campaign practice. Facility-specific DAQ and rig hardware are logged on the project page; the documentation structure transfers to other engine-scale rigs.
- Define the transient event: document whether the step is in mainstream total temperature, coolant flow, or both; record CMPR set points and dwell times
- Calibrate radiometry: emissivity maps or spot checks on representative surface patches; note oxidation state and viewing angle per vane set
- Align spatial and temporal grids: pixel pitch, integration time, and frame rate relative to expected thermal diffusion length scales
- Reduce to observables: area-averaged wall temperature rise, inferred heat-transfer coefficient, or effectiveness definitions stated before comparison to CFD
- Check Biot consistency: compare solid conduction time scales to external convection; use dimensional analysis and air properties for nondimensional groups
- Archive raw and reduced data: link reduction scripts and calibration files from the project record alongside simulation cases
Biot number and conjugate interpretation
The Biot number compares internal conduction resistance to external convection resistance. When $Bi$ is not small, a semi-infinite solid assumption fails and inferred surface heat flux from a temperature trace alone can mislead both maintenance models and RANS wall models.
Here $h$ is the convective heat-transfer coefficient inferred from the transient reduction, $L_c$ a characteristic conduction length in the solid, and $k_s$ the effective solid conductivity including coating or oxidation layers where relevant. Simulation comparisons must state which wall boundary condition was applied (fixed temperature, fixed flux, or conjugate) and whether the experiment’s $Bi$ regime supports that choice. The general measurement posture, similarity, traceability, facility transfer, is developed in experimental aerothermal measurement.
Uncertainty budget (practical)
Separate bias sources that shift inferred $h$ or effectiveness from precision sources that widen confidence bands across repeated runs.
- Emissivity bias: oxidation, viewing angle, and spectral bandwidth; often dominates absolute temperature error
- Spatial resolution: pixel size relative to film-cooling holes and leading-edge features; area averaging must match CFD extraction windows
- Temporal sampling: frame rate vs. thermal response time; aliasing appears as false early-time slopes
- Background and reflections: rig hardware and neighbouring vanes; document subtraction and shielding per campaign
- Coolant metering: CMPR uncertainty propagates into effectiveness definitions when coolant flow is an input to the reduction
Pneumatic inlet surveys that set mainstream conditions carry their own bias budgets, see the 3-hole probe uncertainty note. Combined statements belong in validation reports, not in figure captions alone.
Pairing with simulation
RANS wall temperatures that match a thermography image while coolant splits differ by several percent are a common silent failure mode. Before tuning turbulence constants, verify that coolant-to-mainstream mass-flow ratio, inlet profile, and wall thermal boundary condition match the transient reduction inputs, the checklist in CFD-experiment validation is written for exactly this coupling.
For deteriorated geometry, simulation must represent hole blockage and leading-edge damage explicitly. A pristine-blade case cannot validate a rainbow set with oxidation holes without geometry updates traced to metrology, structured light scans and rig logs on the HPT project record document that path.
Related on this site
- Turbomachinery deterioration: thematic index for HPT research outputs
- HPT deterioration project: ECAT campaign log and rig documentation
- HPT aerodynamic deterioration manuscript: leading-edge holing and loss
- HPT thermal deterioration manuscript: cooling effectiveness and metal temperatures
- CFD-experiment validation: simulation pairing workflow
- Experimental aerothermal measurement: traceability and similarity narrative
- Instrumentation & measurement: probe and radiometry methods cluster
- 3-hole probe uncertainty note: pneumatic input budgets for coupled campaigns
- Air properties calculator: thermophysical inputs for similarity checks
- Fluid mechanics curriculum: Biot and Nusselt scaling context
- Technical notes index: sibling derivations and workflows
- Engineering platform: full catalogue
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- Research - Peer-reviewed and technical publications in aerothermal and fluid engineering.
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Connected work
Related content from the same research and engineering work:
- Technical notes index
- Turbomachinery deterioration theme
- HPT deterioration project
- Manuscripts in preparation
- HPT thermography note - Referenced from Measurement uncertainty fundamentals
Part of Engineering
This page is part of the engineering knowledge platform on lucasrey.com.
- Engineering hub - Full knowledge platform index
- Engineering notes - Reference material and methods documentation - instrumentation and turbomachinery clusters.
- Pneumatic probes overview - 3-hole vs 5-hole selection, calibration workflow, and facility transfer - orientation before instrument-specific derivations.
- 3-hole probe uncertainty - Uncertainty propagation for multi-hole pneumatic probes.
- Dimensionless groups reference - Re, Ma, Nu, Pr, Bi and similarity checklists - foundational lookup linked to curriculum modules.
- Engineering notes - Reference material and methods documentation - instrumentation and turbomachinery clusters.
- Turbomachinery deterioration - Rolls-Royce HPT leading-edge holing - aerothermal and thermal performance research.
- Projects - Selected engineering projects and outcomes.
- Publications - Peer-reviewed papers and manuscripts in preparation - research pillar with thematic hubs, project links, and structured metadata.
- CFD-experiment validation - Methods article on closing the loop between RANS simulations and transient aerothermal measurements.
- Experimental aerothermal measurement - Methods article on traceability, similarity, and facility transfer - links instrumentation, curriculum, and tools.
- Instrumentation & measurement - Pneumatic probing, calibration transfer, and uncertainty propagation.
- Engineering calculators - Air properties (live); probe uncertainty and related tools (planned).
- Technical notes index
- Turbomachinery deterioration theme
- HPT deterioration project
Engineering knowledge platform
More tools, curriculum, notes, and research from the same body of work:
- Engineering - Central knowledge platform - tools, curriculum, notes, research, and applied engineering work.
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