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Machined product quality depends on its dimension and surface quality. The dimension quality depends on machine tool accuracy while the surface quality depends on machining system stiffness. A low machining system stiffness will shift spindle shaft-tool resonance frequencies to low frequencies. When one of these frequencies coincides with spindle rotational speed or its harmonics, chatter will be generated which in turn worsen the workpiece surface roughness. In addition to increasing machining system stiffness, chatter can be eliminated by decreasing the axial depth of cut as well. Maximum axial depth at certain spindle rotational speed which will not generate chatter is called as chatter threshold. A diagram describing chatter thresholds for certain range of spindle rotational speed is called as a SLD (stability lobe diagram). The diagram is very useful for selecting a maximum depth of cut at certain rotational speed in order to obtain chatter-free machining process. The SLD can be generated theoretically or experimentally. The theoretical one is fast and cheap but it is not guaranteed to be correct. On the other hand, although the experimental one will produce exact values but it is long, cumbersome and expensive, because for certain rotational speed many machining with different axial depth of cut must be conducted until chatter threshold is reached. The same process is then repeated for other rotational speeds. This paper deals with a new method in determining the chatter threshold or SLD experimentally, by using inclined workpiece, by which it only needs one time machining-test for each rotational speed. In this method, during machining process, chatter occurrence is detected by using accelerometer and validated by its surface roughness afterwards. It is shown in this paper that the new method works well for machining aluminium workpiece in vertical machining center.

Maintenance scheduling accuracy of CNC machine tools components should be calculated based on actual data utilization of each component. Actual usage of each component can be approached by component grouping based on machine operation phase utilization, which is divided into Power-On, cutting and noncutting phase. This paper describes a study on development of machine monitoring data utilization for obtaining real time information of spindle and machine axis positions as well as current consumption of spindle servo motor. Data collection was conducted by a termination method on wiring feedback control of spindle encoder signal and axes encoder signals. On the other hand, current consumption of spindle servo motor was measured by a CT current transducer. Afterward, a WEMOS microcontroller was used to process and to transfer data wirelessly to a Raspberry which acted as a broker. The data will used to update the data status of CNC Machine Tools utilization database, where it was communicated by using a MQTT protocol. A monitoring system has been developed and resulted the real time information of machine phase utilization. It will be further utilized as primary data input for building a dynamic maintenance model.