An Approach to the Classification of Cutting Vibration on Machine Tools
Predictions of cutting vibrations are necessary for improving the operational efficiency, product quality, and safety in the machining process, since the vibration is the main factor for resulting in machine faults. "Cutting vibration" may be caused by setting incorrect parameters before machining is commenced and may affect the precision of the machined work piece. This raises the need to have an effective model that can be used to predict cutting vibrations. In this study, an artificial
... an artificial neural network (ANN) model to forecast and classify the cutting vibration of the intelligent machine tool is presented. The factors that may cause cutting vibrations is firstly identified and a dataset for the research purpose is constructed. Then, the applicability of the model is illustrated. Based on the results in the comparative analysis, the artificial neural network approach performed better than the others. Because the vibration can be forecasted and classified, the product quality can be managed. This work may help new workers to avoid operating machine tools incorrectly, and hence can decrease manufacturing costs. It is expected that this study can enhance the performance of machine tools in metalworking sectors. Information 2016, 7, 7 2 of 10 the level of a cutting vibration. It focuses on the prediction of the cutting vibrations before work is commenced. As is known, especially in the aerospace industry, the raw material cost is very expensive. This study can help new workers to avoid manufacturing defective work pieces and thus can reduce the cost of manufacturing. This rest of this paper is organized into seven sections. A review of the literature is presented in Section 2. Previous classification approaches are described in Section 3. The artificial neural network (ANN) architecture is illustrated in Section 4. An application of the presented ANN classifier is shown in Section 5. Section 6 is devoted to experimental results and discussion. Finally, Section 7 presents the conclusions. Literature Review The literature review includes the skills of monitoring machining processes, vibrations of machine tools, and the past research related to the vibrations of machine tools.