Virtual Product Development

Next dimension in development process

Analysis of early stage prototype design or improvement of an existing product or production process can be effectively done using virtual product development. This contemporary interdisciplinary approach combining design optimization techniques and finite element analysis is an alternative to classical way of product design which is based on time- and cost-unfavourable testing and expensive trial-and-error processes. Virtual prototypes cost less to produce and design changes are easier to make then empirical upgrades and modifications of physical prototypes. Nevertheless we realize the significance of  physical testing for virtual simulation. Material tests are essential as a source of data for advanced constitutive laws. Full-scale physical test are needed for validation and calibration of complex computational models.



Typical benefits of the virtual product development and optimization:

Shorten the time-to-market

Reduced development costs

Fast evaluation of problems in early stage of design

Replace experimental trial-and-error processes

Improved product performance at defined level of reliability and serviceability

Reduced production costs

Our consultancy team possesses extensive experience and know-how in setting up advanced parametric FE-models, FEA analysis and evaluation of structures performance and latest design optimization techniques.


Simulation and Optimization Techniques

We offer our customers simulation and optimization techniques, which can be integrated into their current-state product development process:

Parametric Modeling

Virtual Prototyping

Topological Optimization

Sensitivity Analysis (shows how the uncertainty in the output of a FE-model can be apportioned to different sources of uncertainty in its inputs)

Design Space Exploration

Verification and Validation of Computational Model

Multi-objective Optimization (reduction of production costs and improvement of performance and reliability, often reduction of production costs while achieving target performance)

Parametric Tolerance Analysis of Mechanical Assemblies

Model Calibration and Inverse Parameter Identification


Typical Optimization Process