BLACK WIDOWResearch Program

Research Overview

Research

Overview of research programs, methods, and knowledge.

DIGITAL RESEARCH LABORATORY

A unified computational environment for reproducible research across the nine canonical BLACK WIDOW technologies.

OPEN LABORATORY

DIGITAL AERODYNAMIC LABORATORY

Explore reproducible computational aerodynamic experiments, their provenance, and evidence.

OPEN LABORATORY · VIEW EVIDENCE

PUBLIC RESEARCH API

Read-only machine-readable research evidence.

Research Programs

BLACK WIDOW conducts research across multiple technology areas, from mechanical systems to software orchestration.

Program 08 — Swarm Intelligence

Research Concept · Simulation Only · In Development

Multi-agent coordination research. No flight validation.

Methods

Simulation, Monte Carlo analysis, digital twin validation, physical experimentation.

Knowledge

Research Knowledge Base, validation dossiers, evidence matrices.

Technology Status

Mission OS

Research Operating System

simulation only

BW-C45

Sub-Drone Deployment System

in development

EPM

Electro-Permanent Magnet Docking & Release

simulation only

GPS-Denied

Navigation in GPS-Denied Environments

simulation only

ALBATROSS

Aerial Launch & Recovery System

simulation only

OWL

Leading/Trailing Edge Serration Research

simulation only

FlyScout

Hybrid Air/Ground Reconnaissance Micro-Drone

simulation only

Swarm Intelligence

Multi-Agent Coordination Research

simulation only

Digital Twin

High-Fidelity Simulation Environment

in development

Research Milestone

21 September 2026

A2 — Geometry-Aware 2D Inviscid Aerodynamic Model

Qualified with conditions

BLACK WIDOW has completed A2 of its Digital Aerodynamic Engine — a geometry-aware 2-D inviscid aerodynamic model based on a Hess–Smith source/vortex panel method. The model takes airfoil geometry and flow conditions and computes the surface velocity distribution V_t(s), the pressure-coefficient distribution Cp(s), circulation Γ, the lift coefficient CL, the pitching-moment coefficient CM, the zero-lift angle α_L0 and the stagnation-point location.

Independent verification

  • 116 / 116 overall tests PASS
  • 34 / 34 A2 tests PASS
  • V1–V12: 12 / 12 PASS
  • influence coefficients independently checked: ≤ 2×10⁻¹³
  • Kutta residual: ~10⁻¹³
  • deterministic execution
  • reproducible evidence
  • panel-count convergence verified

Computational chain

  1. 01Airfoil geometry
  2. 02Panel discretization
  3. 03Hess–Smith source/vortex solution
  4. 04V_t(s)
  5. 05Cp(s)
  6. 06CL / CM / Γ
  7. 07Reproducible evidence

At this level the aerodynamic coefficients are computed from the airfoil geometry within a defined inviscid model, rather than being supplied as a fixed parametric polar.

Scientific scope and limitations

The current model describes 2-D incompressible inviscid flow. It is not a physically validated model and does not use measured aerodynamic parameters. At this stage the model does not describe:

  • viscous drag
  • Reynolds-number dependence
  • laminar/turbulent transition
  • flow separation
  • realistic stall
  • turbulence
  • 3-D / finite-wing effects
  • compressibility
  • CFD / RANS
  • experimental calibration

A3 — viscous aerodynamic modelling — NOT STARTED