Assessment of Simultaneously Generated Burning Levels in Grinding Hardened AISI 1045 Steel Using Aluminum Oxide Grinding Wheel: An Approach of the Magnetic Barkhausen Noise Measurement Technique

This study explores the sensitivity of the Magnetic Barkhausen Noise (MBN) technique in detecting various types and degrees of burning in a single sample, which is similar to what occurs in industrial processes. Using flat grinding with an aluminum oxide wheel on hardened AISI 1045 steel, eight samples with a ground area of 115 mm x 7 mm were created, varying only the ae parameter. In some samples, the effect of generating different levels of burning was observed, starting at one end (grinding wheel entrance) without damage and gradually increasing the damage until the opposite end (grinding wheel exit) with the presence of high levels of burning and the identification of a thick white layer. Results indicated that the MBN_RMS (root mean square value of the MBN signals) parameter can identify varying burning levels caused by overtempering and rehardening. Burning gradients were clearly detected by MBN and confirmed by metallographic analyses. When the white layer is generated continuously on the surface, the MBN_RMS parameter adequately tracks the variation in its thickness, varying in an inversely proportional manner.