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The method · Physical model

From phenomenon to quantitative model.

A problem understood can be modeled; a problem modeled can be predicted. We build a physical model of the phenomenon from fundamental laws, so we understand how it behaves before ever touching hardware.

What we do

A model that predicts, not just describes

We translate the phenomenon into equations: energy, mass and momentum balances, material constitutive equations, radiation and heat physics. We identify the few parameters that truly govern behavior and estimate orders of magnitude before any heavy computation.

  • Multiphysics modeling from first principles
  • Dimensional analysis and order-of-magnitude estimation
  • Identification of key parameters and sensitivity analysis
  • Explicit assumptions and model validity limits
Physical modeling and design at DS Mechatronics
Our approach

Understand first, compute later

The culture we come from — that of the great scientific laboratories — teaches that a good model is worth more than a thousand simulations run blindly.

Fundamental laws

Thermodynamics, electromagnetism, continuum mechanics, radiation transport: the model comes from physics, not from empirical correlations.

Parameters & uncertainties

Every parameter has a value and an uncertainty. Knowing how much each one weighs guides design choices.

Sensitivity

We identify the critical variables: where a small error matters a lot and where there's margin.

What you get

A compass for the project

Predictive model

A tool that tells how the system will behave as conditions change.

Sensitivity map

A ranked list of the factors that matter: where to focus effort.

Reduced risk

Design decisions made on quantitative grounds, not intuition.

The method steps

A phenomenon that's hard to predict?

We build the physical model you need to decide with data, not by trial and error.

Let's talk