The Design Process
NovaSci has expertise in the use of computational modelling to help the innovation process as part of a simulation driven design methodology.
The overall benefits include:
- shorter time to market;
- increased return on investment; and
- improved productivity.
"Computational modelling offers a real reduction in the overall time and costs required to develop a new product, leading to significant added return on investment”
Dr Simon George – Director, NovaSci Ltd
This is achieved through:
- the near elimination of physical prototypes;
- rapid design evaluations; and
- virtual experiments that may not be physically achievable.
In almost all sectors
innovation is vital in order to maintain a competitive advantage.
“Innovation – the successful exploitation of new ideas – is the key business process that enables UK businesses to compete effectively in the increasingly competitive global environment.”
BERR – Department for Business, Enterprise and Regulatory Reform '09
Innovation covers all aspects of product or service development from concept to deployment and can be a costly and time consuming process. A significant factor in this processes, especially in terms of time and cost, has been the requirement to build and test physical prototypes.
Simulation is the substitution of one system with another analogue (or model) system. The model system is chosen such that it mimics critical features of the original system but is easier to study; costs less; and is faster to implement. Early simulations often substituted one physical system for another, for example water at room temperature is a good model of molten steel so can be used to simulate many foundry processes.
In the modern context simulation is usually carried out using numerical techniques via sophisticated computer programmes, and thus is usually referred to as computational modelling.
