Research on the influence of different machining parameters and cooling and lubrication methods on the change of chip color on tool life

Cutting fluid has always been a commonly used cooling and lubrication method in machining. However, the traditional flood cooling method is not environmentally friendly, and the purchase of cutting fluid and disposal of waste fluid also create a lot of costs for employers. The emergence of MQL and air cooling can provide Due to the advantages of environmental protection and cost, this study uses three cutting conditions, dry, cold air gun and MQL, and two high and low cutting speeds to conduct experiments to record tool wear and analyze chip chromaticity. The results show that the two cooling methods are better than dry cutting. It can improve the tool life by about 40%, and with the increase of tool wear, the chip chromaticity also has a clear trend of change. The chip chromaticity data is predicted by the back-transmission neural network (BPNN), and the average absolute error percentage of the model is 11.12%. According to the prediction ability of the mean absolute percentage error (MAPE), this model has good prediction ability, and the relevant color and tool wear data will help to establish a tool wear prediction model for related materials and cooling methods in the future.