Engineering truth.
Pursued through research.
Eagle Rock is the Zylvex aerospace research programme in formation — building open-source engineering tooling (the eagle-rock platform on GitHub and PyPI) and planned research frameworks toward physical validation and telemetry capabilities.
Eagle Rock — propulsion research visualisationSimulations predict. Reality dictates.
A pure digital workflow is vulnerable to assumption. Eagle Rock closes the loop by connecting manufactured components to live sensor arrays. It measures physical stress, thermal loads, and vibrational harmonics against the theoretical FEA bounds established by ZylForge.
Illustrative goal: comparing simulation predictions against physical test measurements to quantify the FEA-vs-reality delta. No physical test campaigns have been conducted yet.
High-Frequency Ingestion
1000Hz load cell and 5000Hz spindle vibration tracking.
Time-Series Alignment
Synchronizes sensor packets with deterministic experiment timelines.
Telemetry Architecture
Eagle Rock ingests real-time streams from physical test stands, CNC machining centers, and robotics. Every physical variable—from the vibration of a QueenBee Pro 1515 spindle to the combustion temperature of a hybrid motor—is digitized and recorded.
Engineering Experiments
A design is not valid until it survives execution. Eagle Rock coordinates the physical testing of manufactured records. When a drone arm is load-tested to destruction, Eagle Rock documents the exact yield point and cross-references it with the anticipated failure mode.
[Experiment: exp-002] Drone Arm Destructive Load Test ZylForge Design: zf-da-v4.0 Predicted Max Stress: 250.0 MPa (Safety Factor: 1.1) Expected Failure: Buckling at mid-span [Test Execution] Measured Max Stress: 245.0 MPa Actual Failure: Buckling at mid-span Simulation Error: -2.0% [Result] VALIDATED
Knowledge Integration
Data in isolation is meaningless. Eagle Rock feeds telemetry back into the Zylvex Knowledge Graph. Every physical component gets a Digital Twin—a living record tracking its geometry, material properties, manufacturing history, and physical test performance. This twin is the foundational asset for Harmonia XR.
Trust & Evidence
Investors, engineers, and partners trust failure data more than marketing claims. The intent is to compare simulation error against physical measurement once the planned test stand operates. No physical test has been run — the test stand is in design phase, and no hardware is operated.