An adaptive approach to non-destructive evaluation (NDE) of cast irons containing precipitated graphite particles with the help of magnetoacoustic emission

Physical properties of cast irons strongly depend on both their microstructure and the presence of casting defects. The paper analyses the possibility of application of magnetoacoustic emission (MAE) for nondestructive detection of flawed cast iron components. The investigated samples containing dross, chunky graphite and lamellar graphite were compared with the reference, flawless, spheroidal cast iron sample. The optimisation adaptive procedure was applied for sensitivity enhancement. Application of five different acoustic emission sensors and filtering band optimisation enabled finding the optimum sensor/band configuration allowing not only for flawed samples identification, but also for discerning various kinds of flaws.