Discourse on R&D Method

figure 1

The simulation pyramid: from theoretical validation to real-scale verification


Managing technical innovation

The control and use of the latest methodologies enable Nexans to efficiently manage the conception, development and optimization of materials and processes. This increases the reliability of results, and reduces the time-to-market for new products and solutions in order to better serve our customers.

Simulation and Modeling

Numerical simulation is of wide benefit because of its ability to reduce the number of prototypes that need to be built, allowing new products to be developed more quickly and at a lower cost to the customer.
Many fields of activity are open to the numerical simulation approach today. Cable designs are subjected to rapid and repeated tests through a computerized model, simulating mechanical, thermal, electrical or even fire conditions.

Numerical Simulation delivers a number of key benefits:

  • Properties that cannot be measured directly can be represented in the simulation and investigated in depth
  • Prototyping can be speeded up significantly
  • Developers can concentrate on prototypes that are worth building
  • Customers can see how and why a new product will deliver the benefits that are claimed for it, in terms of time-and-cost savings

Design of Experiments (DOE)

There are various approaches for new developments. One frequent approach is modifying one variable (for example, component of a material, parameter of a process) while keeping all the other variables of the experiment fixed. This method is generally time-consuming and requires a lot of experience or luck.

Another approach frequently used by Nexans experts, is DOE. This is a structured method to determine the relationships between the variables and the output properties (of a material or a process). There are two different types of DOE:

  • Screening to identify influent factors
  • Optimization via more elaborate DOE to model the relationship between variables and properties
Thanks to simulation, modeling, and structured DOE, experts are able carry out an optimum number of experiments, while improving the speed, reliability and accuracy of results.

doe example


 DOE modeling of a mechanical property versus 2 components of an insulation material