Digital Twin as the Best Solution for Your Business

Modeling and simulation to design, optimize and monitor devices, systems and processes.

What is a Digital Twin?

A Digital Twin is a mathematical model that reproduces the functioning of a physical object or system or process.

The Digital Twin behaves like a real product and provides answers based on user-defined parameters, with accurate levels of fidelity. We can reproduce a single component behavior, or simulate an entire process by relating different multi-physical models.

Whether it is a car, a chemical plant, a machine, a single component or an entire system, DOFWARE can create a mathematical model capable of reproducing the same behavior of the real object.

For the multi-domain simulation and the model-based design of dynamic systems, DOFWARE uses Dymola, based on the open source Modelica modeling language.

Why the Digital Twin?

The virtual twin is useful throughout the real product life-cycle for different purposes.

The Digital Twin today is mainly used for the production phase: for process planning, for monitoring operations and for predictive maintenance.

For example, it can be used to perform predictive analysis of the wearing of a component, or to simulate a machine or an entire industrial plant to carry out employee training or maintenance tests.

An innovative use is to exploit the digital twin also in the design phase and for the improvement of existing assets, in order to analyze and to validate new ideas, to define the best solution matching the project requirements, and to predict the responses of the product to settings change.

The Digital Twin, by means of physical-mathematical models reproducing the behavior of systems, sub-systems and even software, enables the evaluation of their performance even before the construction of the prototypes or the validation of the code.

The Benefits, Briefly

Which are the benefits of the Digital Twin throughout the different stages of your product life-cycle?

In the pre-design and design phases, the Digital Twin can tell us whether and how a product will work

  • More accurate design and reduction of physical prototypes with consequent savings in time and costs;
  • Use of virtual prototypes to validate and to verify the software component of the product;
  • Forecasting the impact of design changes and any bottlenecks;
  • Ability to carry out modifications and tests that could be too expensive or dangerous with a real prototype;
  • Distribution of the virtual prototype to improve the customer experience.

During production and operation, the Digital Twin supports integration, performance analysis and diagnostic processes:

  • Minimization of the consumption of energy and of raw materials;
  • Predictive maintenance and performance management with real-time information;
  • Staff training.

Technological Integrations and Interconnection

More and more efficient communication systems allow the continuous exchange of information between the real system and its Digital Twin.

The IOT platforms can expand the range of services by integrating our co-simulation solutions (DT-Orchestrators managing federations of Digital Twins that communicate mutually with each other) with the real system and with company’s management systems.

For building the Digital Twin, DOFWARE can apply and integrate different approaches and methodologies such as Machine Learning and AI, physical data, simulations with lumped parameters, CFD, FEM, etc.

A Digital Twin…Everywhere

Discover the opportunity for dynamic and real-time simulation on any platform: cloud, edge computing, mobile devices, embedded platforms.

DOFWARE puts all these capabilities in your hand.

Our algorithms receive and process the parameters set by the user and provides a quick and reliable simulation as a result, running the virtual model of the physical product on any platform, according to the user needs and to the complexity of the model.

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Some Application Examples

Multi-physical simulation can be applied in any field and at any scale, from a single component to an entire process.

In the automotive industry, for example, we can minimize the consumption of vehicle brake pads, or improve the stability of racing cars by trying different suspension settings. We can also evaluate a user driving style based on the real-time data collected by her/his smartphone.

In the industrial field, we can model and simulate the operation of an entire industrial plant in order to schedule the maintenance interventions.

Virtual models can estimate the energy needs of a system (as we did for the HOME project) or define the configuration that optimizes its performance (as an example, the modeling of solar panels to estimate energy production).

In the HVAC field, we can analyze the indoor air quality and assess the indoor comfort by real-time monitoring and simulations.

Find Out More, Trust DOFWARE

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