White Goods market is marked out by strong competition, rapid product life cycle and continuously growing complexity and innovation. Internet of Things concept applied to single devices and domotics need ever larger and cross expertise for designing highly complex multi-domain systems. In this framework System Engineering approach enables to achieve a high-level technological quality rapidly. Actually virtual development coupled with automated validation and verification has become mandatory.
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 cost. Model-Based Design allows to design complex multi-domain systems efficiently, and to simulate a wide range of operating conditions. These are all operations that must be compliant with reference standards (e.g. 2009/125/CE) for what concerns product validation and verification.
DOFWARE supports Customers for the definition of both Model-Based Design and multi-physical modelling toolchain and automated tests and documentation editing, always according to corresponding regulations.
Physical Modelling allows to build mathematical moke-ups able to simulate system behavior in time. DOFWARE uses Modelica / Dymola for 0D/1D simulations and CFD / FEM tools for detailed 3D analysis in order to get high-quality results. Some examples of supported application fields are:
- Thermal: building comfort analysis, building energy efficiency analysis, CFD analysis preparatory to calibration and validation of models developed in Modelica;
- Acoustics: acoustic source identification by CFD simulations;
- Consumption minimization: design optimization for decreasing energy consumption;
- Electromechanics: analysis for 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 are performed by coupling Modelica with the most common FEM and CFD software (e.g. coupling between pneumatic/hydraulic and electric/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 and expertise, such as:
- Modelica / Dymola: multiphysical plant model implementation;
- Matlab®/Simulink®: embedded control development;
- FMI: information transfer handling and process automation;
- FMI Add On for NI VeriStand® e LabVIEW®: HiL test bench development for control algorithm validation;
- Reqtify: design requirements traceability and automated documentation editing;
- Silver: SiL- and HiL-based test virtualization;
- TestWeaver: test automation based on artificial intelligence engines;
- CTC++: code/firmware coverage analysis.