Implemented / synthetic verification
Experimental Readiness Pipeline.
A reproducible path from thermal-test files to checked reports.
- 01Raw records
- 02Schema + calibration checks
- 03Steady-state analysis
- 04Uncertainty
- 05Reports
Verification with synthetic or defined calculation inputs
Objective
Make thermal-test data processing reproducible and inspectable before physical testing begins. A report should make its input quality and evidence limits visible.
Engineering
The workflow covers coolant heat pickup, electrical power, pressure difference, hydraulic power, thermal resistance, steady-state processing, repeatability, and first-order uncertainty.
Implementation
Built with Codex assistance, the command-line workflow checks raw-data and calibration-record schemas, processes data into summaries, and generates labeled HTML and PNG reports. It preserves input files and checks units and measurement definitions before comparing analytical and bench-format records.
Software verification
The full version 0.3 cold-plate package passed 182 automated tests in the September 10, 2026 local check. Ten deterministic synthetic scenarios exercise known conditions, including missing values, drift, nonsteady behavior, and deliberately invalid row ordering.
The normal synthetic baseline contains 488 generated observations.
Current status
Implemented and verified with synthetic data and calibration examples. Physical measurements and real calibration records remain future inputs; measured cold-plate performance has not been evaluated.
Current learning focus
Keeping data origin, units, measurement definitions, and uncertainty visible so that a generated report does not imply more evidence than its inputs support.