Based on the Merchant shear angle theory, two-dimensional high-speed orthogonal cutting experiments with an ‘OXCUT’ flow stress inverse procedure were used to determine the Johnson-Cook constitutive constants of the AISI 1045 steel (195HB). The constitutive constants obtained in the strain range 1.3-1.4 and large strain rate range 6106-7106/s. It is verified by experiments, and the result shows that the cutting forces are within the permissible error range. Compared the constitutive model with Hu’s, the cutting forces of this constitutive model of FEM are closer to the measurement, while the feed force has a relatively larger gap.
Tool wear condition monitoring technology is one of the main parts of advanced manufacturing technology and is a hot research direction in recent years. A method based on the characteristics of acoustic emission signal and the advantages of wavelet packets decomposition theory in the non-stationary signal feature extraction is proposed for tool wear state monitoring with monitor the change of acoustic emission signal feature vector. In this paper, through the method, firstly, acoustic emission signal were decomposed into 4 layers with wavelet packet analysis, secondly, the frequency band energy of the have been decomposed signal were extracted, thirdly, the frequency band energy that are sensitive to tool wear were selected as feature vector, and then the corresponding relation between feature vector and tool wear was established , finally, the state of the tool wear can be distinguished according to the change of feature vector. The results show that this method can be feasibility used to monitor tool wear state in high speed milling.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.