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Research

Engineering questions before engineering claims.

AICA research focuses on understanding the aerodynamic, energetic, structural, control, acoustic, and manufacturing challenges required to develop a viable advanced air mobility platform.

The programme combines simulation, systems engineering, analytical modelling, experimental validation, and progressive hardware development.

Research areas

Six connected fields of engineering study.

Each area addresses a distinct technical problem while contributing evidence to the wider vehicle and programme architecture.

Aerodynamic flow analysis around the AICA vehicle concept

Aerodynamics

Research into how vehicle form, airflow, and operating conditions influence aerodynamic behaviour and stability.

Current focus

Flow behaviour, pressure distribution, stability, and vehicle configuration analysis.

AICA energy system architecture research illustration

Energy Systems

Platform-level investigation of energy storage, delivery, thermal behaviour, and safe system integration.

Current focus

Energy storage architecture, power distribution, thermal management, and system safety.

AICA flight control architecture research illustration

Flight Control

Development of control concepts that connect sensing, estimation, decision logic, and vehicle response.

Current focus

Sensor fusion, state estimation, control logic, redundancy, and system integration.

AICA advanced materials and structural research illustration

Advanced Materials

Assessment of structural architectures and material systems against programme-level engineering constraints.

Current focus

Lightweight structures, composite systems, durability, and load-path optimisation.

AICA acoustic modelling and noise research illustration

Noise & Acoustics

Study of potential noise sources, propagation, measurement methods, and mitigation approaches.

Current focus

Acoustic modelling, source identification, mitigation strategies, and operational noise studies.

AICA manufacturing and production research illustration

Manufacturing & Production

Research into how validated designs could progress toward controlled, repeatable fabrication and assembly.

Current focus

Digital manufacturing, assembly strategy, inspection, repeatability, and scalability.

Current questions

The questions guiding the programme.

These are active engineering questions to be investigated, compared, and validated—not statements of established vehicle capability.

  1. 01

    How can the vehicle geometry minimise aerodynamic losses across representative operating conditions?

  2. 02

    How should energy storage and thermal management be integrated at platform level?

  3. 03

    Which control architecture provides the required stability, redundancy, and fault awareness?

  4. 04

    Which structural concepts provide the best balance between mass, stiffness, durability, and manufacturability?

  5. 05

    How can acoustic impact be understood and reduced before physical flight testing?

  6. 06

    Which manufacturing methods can transition from prototype development to repeatable production?

Methodology

From hypothesis to validated engineering decision.

  1. 01

    Define

    Establish the engineering question, assumptions, constraints, and success criteria.

  2. 02

    Model

    Use analytical models, simulation, CAD, system models, and digital tools.

  3. 03

    Compare

    Evaluate competing architectures and identify technical trade-offs.

  4. 04

    Validate

    Confirm assumptions through bench testing, subsystem experiments, and later physical prototypes.

  5. 05

    Document

    Record methods, limitations, results, and design decisions for future programme stages.

Evidence grows with the hardware.

AICA separates early engineering analysis from later physical validation so the maturity of each finding remains clear.

Level 1

Analytical & Conceptual

  • engineering assumptions
  • first-order calculations
  • architecture studies
  • feasibility analysis

Level 2

Simulation & Digital Validation

  • CFD
  • FEA
  • systems simulation
  • control modelling
  • digital twin development

Level 3

Subsystem Validation

  • bench testing
  • component testing
  • thermal testing
  • control hardware testing
  • structural testing

Level 4

Vehicle Validation

  • integrated prototype
  • ground testing
  • flight testing
  • measured vehicle performance

Performance figures should be treated as targets or predictions until validated at the appropriate evidence level.

Research before certainty.

AICA's engineering programme is built around reducing uncertainty step by step. Models inform decisions, experiments challenge assumptions, and physical testing ultimately determines what the platform can achieve.