Independent engineering concept

Performance is a measurable discipline.

Vehicle systems explored through data, design and disciplined experimentation.

01 · AIRFLOW

Streamlines and wake

Plan-view flow paths around a generic prototype. The dashed region behind the tail marks the separated wake that drag studies try to shrink.

— Stagnation at the nose
— Attached flow along the flanks
— Separated wake behind a blunt tail

Read the airflow page →

Simulated demo data

CH 01 · Surface static pressure [normalised]

Looping synthetic trace

02Systems

Every behaviour has a cause. Every claim needs a measurement.

Examine the relationships between airflow, motion, energy and the signals that describe them. Select a row to open its diagram.

03Laboratory

Change the speed. Watch the drag.

An interactive engineering sandbox. Change assumptions, compare outputs, and inspect the equations behind the result. Educational illustration, not a CFD result.

F_drag = ½ · ρ · C_d · A · v²

ρ: 1.20 kg/m³ air density
C_d: 0.30 drag coefficient
A: 2.20 m² frontal area
v: 100 km/h = 27.78 m/s

Speed100 km/h

60180

Drag force

305.6N

1.00× at 100 km/h

Power

8.49kW

1.00× at 100 km/h

Educational illustration, not a CFD result.

Open the full laboratory

Drag force against speed

Drag force (defaults above)

Speed 100 km/h · Drag force (defaults above) 305.6 N

04Work evidence

Engineering dossiers / four explorations

Four fictional concept studies, each with a hypothesis, a constraint and a list of what would still need real-world verification.

All dossiers

05Method

Define → Model → Prototype → Instrument → Validate → Handover

Six stages, each with named outputs and the risks that tend to appear there.

01
Define
Turn a broad ambition into a question that can be answered with a measurement.
Outputs
- — Written hypothesis and scope
- — List of constraints: packaging, cost, schedule, regulation
Risks
- — Vague targets that no measurement can confirm
02
Model
Build the simplest model that could be wrong in an informative way.
Outputs
- — Model with stated assumptions and validity range
- — Parameter sensitivity ranking
Risks
- — Over-detailed models that hide their assumptions
03
Prototype
Make the smallest physical artefact that can test the riskiest assumption.
Outputs
- — Scale or sub-system prototype
- — Manufacturing and tolerance notes
Risks
- — Prototype differs from the model in ways nobody recorded
04
Instrument
Decide what to measure, at what rate and with what uncertainty — before the test.
Outputs
- — Channel list with ranges, rates and filters
- — Clock and synchronisation plan
Risks
- — Missing the channel that would have explained the result
05
Validate
Compare prediction with measurement, with the scatter of the measurement known.
Outputs
- — Prediction-versus-measurement report
- — Updated model and validated domain
Risks
- — Adjusting the model until it fits one test
06
Handover
Pass on what is known, what is assumed and what still needs real-world verification.
Outputs
- — Dossier: data, models, assumptions, limitations
- — Recommended next tests
Risks
- — Results separated from the conditions that produced them

Programme method

06 Technical note

Bring the question.
We’ll map the system.

A good programme starts with something that can be wrong: a hypothesis, a constraint, a number nobody trusts yet. Tell us what you are trying to find out, at what stage the project is, and what it would take to be convinced.

Note on this site

VECTOR is a fictional practice created as a Devectra portfolio demonstration. The enquiry form prepares a message locally; it does not send one.

Discuss a programme

Bring the question.
We’ll map the system.

Note on this site

VECTOR is a fictional practice created as a Devectra portfolio demonstration. The enquiry form prepares a message locally; it does not send one.

Discuss a programme

Performance is a measurable discipline.

Streamlines and wake

01AerodynamicsAirflow around, through and under the body, read as pressure, momentum and wake rather than as styling.OUTPUT: drag coefficient (illustrative)+

02Vehicle dynamicsHow the chassis settles after steering, braking and road input — spring, damper, mass and tyre as one system.OUTPUT: settling time after input (illustrative)+

03PowertrainMotor, inverter, cooling and energy flow treated as one efficiency and thermal problem.OUTPUT: efficiency map, % (illustrative)+

04Electronics & dataSensors, acquisition and validation so that every trace can be trusted, aligned and explained.OUTPUT: validated channels at stated sample rates (illustrative)+

Define

Model

Prototype

Instrument

Validate

Handover

Bring the question.We’ll map the system.

Performance is a measurable discipline.

Streamlines and wake

01AerodynamicsAirflow around, through and under the body, read as pressure, momentum and wake rather than as styling.OUTPUT: drag coefficient (illustrative)+

02Vehicle dynamicsHow the chassis settles after steering, braking and road input — spring, damper, mass and tyre as one system.OUTPUT: settling time after input (illustrative)+

03PowertrainMotor, inverter, cooling and energy flow treated as one efficiency and thermal problem.OUTPUT: efficiency map, % (illustrative)+

04Electronics & dataSensors, acquisition and validation so that every trace can be trusted, aligned and explained.OUTPUT: validated channels at stated sample rates (illustrative)+

Define

Model

Prototype

Instrument

Validate

Handover

Bring the question.We’ll map the system.

Bring the question.
We’ll map the system.

Bring the question.
We’ll map the system.