White Goods market is marked out by strong competition, short product life-cycle and continuously growing complexity.

DOFWARE supports Customers for the definition of the toolchain of Model-Based Design, multi-physical modeling and simulation, automated tests and documentation editing, always in compliance with the corresponding regulations.

Internet of Things concept applied to single devices and to domotics needs ever deeper and wider expertise for designing highly complex multi-domain systems. In this framework, the System Engineering approach enables to achieve a high-level technological quality rapidly. Its coupling with virtual development and automated validation and verification has become the key feature for today design strategies.

Requirement Engineering techniques allow a formal interpretation of requirements coming from market surveys.

The availability of SysML-based functional schemes and the ability to simulate product behavior in the early stages of design decrease time and costs.

Model-Based Design allows to design complex multi-domain systems efficiently, and to simulate a wide range of operating conditions easily and quickly. These operations must be all compliant to reference standards (e.g. 2009/125/CE) for what concerns product validation and verification.

Physical Modeling

Physical Modeling allows to simulate system behavior in time by exploiting mathematical mock-ups. DOFWARE uses Modelica / Dymola for 0D/1D simulations and CFD / FEM tools for detailed 3D analysis in order to improve results quality.

Some examples of supported application fields are:

  • Thermal: comfort analysis, energy efficiency analysis, CFD analysis preparatory to calibration and validation of models developed in Modelica;
  • Acoustics: acoustic sources identification by CFD simulations;
  • Consumption minimization: design optimization for decreasing energy consumption;
  • Electromechanics: improving quality and stability by reducing consumptions and bugs. The coupling between Modelica and its vertical libraries with third-party software enables to perform complex studies otherwise unfeasible;
  • Multibody: time-domain mechanical analysis by coupling Modelica with the most common FEM and CFD software (e.g. coupling pneumatic, hydraulic and electronic domains).

Embedded Control and IoT Development

Control algorithm implementation requires accurate physical models, tools able to support integrated development and an automated framework assuring traceability of the entire design process. For “Functional Safety” control algorithms such as those of White Goods field, regulations are extremely strict and require that the development process is traceable, verifiable and well documented.

DOFWARE provides efficient and innovative solutions for designers thanks to its tools portfolio and expertise, such as:

  • Modelica / Dymola®: multi-physical plant model implementation;
  • Matlab®/Simulink®: embedded control development;
  • FMI: information transfer handling and process automation;
  • FMI Add-On for NI VeriStand® and LabVIEW®: HiL test bench development for control algorithm validation;
  • Reqtify®: design requirements traceability and automated documentation editing;
  • CTC++®: code/firmware coverage analysis.