How we engage

Engineering & R&D Consulting

Scientific and engineering support for technically demanding products, experiments and thermal-fluid systems.

Research → Model → Validate → Iterate
Research → Model → Validate → IterateQuestion and Model connect to Evidence, which connects to Validate and Iterate with a decision point highlighting a selected route. A conceptual research cycle; each iteration answers a useful question.QuestionModelEvidenceValidateIterateCONNECTED THINKINGResearch → Model → Validate → IterateQuestion and Model connect to Evidence, which connects to Validate and Iterate with a decision point highlighting a selected route. A conceptual research cycle; each iteration answers a useful question.QuestionModelEvidenceValidateIterate
A conceptual research cycle; each iteration answers a useful question.

Scientific foundation

ALTWHIZ brings research-level capability in fluid mechanics, heat and mass transfer, numerical modelling and CFD, combined with industrial engineering and product-development thinking.

Founder research experience includes 3D coupled fluid-flow and heat-transfer modelling, COMSOL implementation, quantitative validation against sounding-rocket and parabolic-flight experiments, and technical reporting connected with ESA- and CNES-supported microgravity research.

Core capabilities

  • Fluid mechanics and CFD
  • Heat and mass transfer
  • Thermal-fluid system analysis
  • Microfluidic device design support
  • Multiphysics and numerical modelling
  • Model validation and sensitivity analysis
  • Experimental R&D and correlation
  • Engineering design recommendations

Microfluidics & device development

For microfluidic and fluidic devices, ALTWHIZ can support problem definition, flow-path reasoning, design iteration, performance analysis, modelling strategy, experiment planning and technical interpretation.

Numerical modelling

Simulation is treated as a decision tool rather than an isolated deliverable. Models should be physically grounded, validated where possible, and used to explain mechanisms, compare designs and predict operating behavior.

R&D engagement model

Explore

Physics, constraints, feasibility and unknowns.

Model

Analytical, numerical or multiphysics representation.

Validate

Correlation with experimental or operational evidence.

Iterate

Design recommendations and next-generation development.

Let’s talk

Bring us the difficult part.

Share the challenge, your current stage and the decision you need to make. We can scope the right level of support.

Start a conversation