Design & Modelling

Competing effectively in Design & Modelling entails creating reliable, safe and high-quality products/systems, in a short time and at a low cost.

This objective can be achieved by developing Virtual Prototypes of individual components or even entire systems, so as to perform numerical simulations, checks and tests in a virtual environment. Through this approach it is possible to explore different configurations in order to identify the optimal one, analyse the component or system to verify there are no oversized or undersized parts, and solve optimisation problems (topology, mechanics, fluid dynamics) which cannot be tackled through traditional approaches, all before even producing the prototype.

In this way, it is possible to significantly reduce the time taken for a new product to enter the market while reducing its design and production costs.

With similar techniques and tools, it is also possible to virtualise real components and systems in order to monitor their operation (digital twin). The virtual system, if well-implemented, works in parallel with the real system, but, unlike the latter, it allows the acquisition and measurement of physical quantities from every part of the machine, even those that are difficult or impossible to access. This information can be used to assess the correct functioning of the system and to promptly detect deviations from nominal operation or even faults, allowing maintenance operations to be optimised and costs reduced.

NIER, thanks to a team of technicians, collaboration with research centres and universities and the availability of cutting-edge tools, supports its customers in the design, validation and monitoring of electromechanical systems and plants, in order to reduce the product’s market entry time and to optimise costs, performance and reliability features, by performing 3D modelling, Virtual Prototyping and multi-physical numerical simulations.

 

Services provided

  • Analysis of failure mechanisms (e.g. collapse, local plasticisation, local and global instability, fatigue, wear, delamination in composite materials, debonding)
  • Hydraulic and thermo-hydraulic analysis
  • CFD analysis (internal fluid dynamics, aerodynamics, fluid-solid coupled heat exchange, single-phase and multi-phase, transient and stationary)
  • FEM analysis (static and dynamic, linear and non-linear, coupled with CFD, thermo-structural analysis)
  • Seismic analysis (modal, transient with accelerogram, spectrum response)
  • Topological optimisation
  • Mono- and multi-dimensional numerical simulation of the production process (e.g. baking, forming, pressing, pressing, analysis of moving machines)
  • Demonstration of structural integrity according to construction codes (design by analysis)
  • Qualification of components, structures and systems
  • Virtual Prototyping
  • Reverse Engineering
  • Methodologies/techniques
  • Finite element analysis
  • Finite volume analysis
  • Computer Aided Design
  • Computer Aided Engineering
  • Programming

Tools

  • ANSYS Mechanical (Structural)
  • Abaqus (Structural)
  • ANSYS Fluent (CFD)
  • ANSYS CFX (CFD)
  • Open FOAM (CFD)
  • ANSYS Maxwell (Electromagnetic)
  • Solidedge (3D modelling)
  • Solidworks (3D modelling)
  • CATIA (3D modelling)
  • AutoCAD (2D modelling)
  • See System Design (P&Id design)
  • ENOVIA (PLM Software)
  • FORTRAN
  • MATLAB/SIMULINK

CASE HISTORY:

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