Anticipate and quantify the behavior of your materials and materials

Master dynamic behaviors to manage your technical choices

In materials, complex products or industrial processes, everything changes over time : viscosity, cohesion, surface condition, stability, reactivity… The properties that count are not static, but dynamic, evolving, sensitive to conditions. And yet, they often remain poorly measured, poorly understood, poorly exploited.

With RHEONIS, you access a advanced characterization of dynamic behaviors of your material/process systems, for anticipate critical effects, objectify technical uncertainties et make the right decisions from the outset.

Identify the phenomena unstable, transitional or nonlinear

Define and implement suitable measurement methods to your real contexts

Quantify the dynamic responses of your products or processes to different demands

Build a rational basis for your choices of formulation, process or product design

Avoid approximations, secure your hypotheses, limit trial and error

An approach focused on measuring reality

Physical & functional reading of your issues

We carry out multi-physical product-process-methods diagnostics geared towards your industrial objectives and constraints

  • What phenomena are at play in your systems?
  • Where are the sensitive areas?
  • What parameters are critical in your uses or processes?

Measurement of key dynamic behaviors

We implement appropriate instrumental and experimental approaches and/or develop tailor-made tests under controlled and representative conditions (temperature, humidity, stress, duration, etc.)

  • Rotational, oscillatory rheology, under real shear
  • Mechanical or thermal behaviors dependent on time or stress rate
  • Evolution of surface states or interfaces under usage conditions
  • Phase transition, gel, hardening, flocculation, syneresis, etc.
  • Kinetics of evolution of texture, flow, drying, swelling, etc.

 Quantification, modeling, decision thresholds

 You have clear, robust and useful indicators to guide your technical choices.

  • Determination of relevant descriptors
  • Correlation with actual usage behaviors
  • Multi-physics modeling
  • Construction of objective criteria of acceptability, performance or stability

Transfer & structuring

Your teams gain skills, your projects become more coherent

  • Transmission of results to teams (R&D, production, quality)
  • Integrating methods into your internal processes
  • Definition of reproducible protocols or guides
  • Implementation of a decision support tool