An approach on quality assurance in computational electromagnetics

During the last two decades scientific computing has been developed as an additional form of science and engineering. Scientific computing links theory and laboratory experiment in a kind of theory based virtual testing environment. The approach is to gain understanding based on computer implemented mathematical models. Common quality assurance systems like ISO 9001 demand validation and verification during product development and manufacturing. Digital MockUp (DMU) based computer aided engineering (CAE) is the main computational engineering service in industrial applications. A verification and validation of the computed results is usually not possible, because CAE is used as an alternative to measurements or the device under test is not measurable or does not exist in the early stage of design. For that reason a validation and verification of the CAE based engineering service is necessary. An approach for quality assurance in computational electromagnetics is given in this paper. Numerical analysis became a standard procedure in engineering and science. Achieving a traceable and confidence-building proof of quality becomes more important in industry-sector-specific computational engineering.