Detection of grinding temperatures using laser irradiation and acoustic emission sensing technique

This paper presents a new method for the detection of grinding thermal behaviours using a laser irradiation technique. Laser irradiation was initially undertaken in the Lumonics JK704 Nd: YAG laser machine under mimic grinding conditions. Temperature elevation was controlled using laser irradiation by varying the laser energy and laser irradiation time. The signatures of acoustic emission (AE) were recorded as pure thermally induced AE signals. A series of grinding experiments were conducted separately to identify different AE sources during grinding. An artificial neural network (ANN) had been trained to distinguish high and low temperatures using laser thermal AE data. This trained ANN was then used to classify burn and no burn in the grinding zone. The classification accuracy achieved 71% when grinding Inconel718 materials. The novelty of this work is reflected in that the laser irradiation induced thermal AE signals can represent grinding thermal behaviour and can be used for grinding burn detection.