Search

High-speed motorized spindle is a key device of modern industry and has been widely used in numerical control machine. Temperature distribution, speed control loading characteristics, precision maintenance, liberation intensity and circumgyration error are not only the key demand of motorized spindle's capability but also an important index to evaluate it's performance. Therefore, this study has detailed described the main structure of motorized spindle. The basic structure and working principal was introduced, and then demonstrated a series of models and specifications of motorized spindle. The finite element model of high-speed motorized spindle was built up and carried out thermal analysis to study the heat generation and heat transfer. With the help of ANSYS finite element software, the temperature field distribution and the temperature rise condition for motorized spindle were analyzed. The result shows that the front bearing has a higher temperature than that of back bearing. The maximum temperature of inner ring is bigger than that of outer ring. The results contribute to selection of appropriate bearing for motorized spindle system.

The concept of Internet of Things (IoT) is opening new horizons in systems intelligence, where physical objects (embedded with sensory, identification and networking capabilities) can interact with other objects through the global infrastructure of wireless/wired Internet. These systems can be monitored and controlled by filtering and processing collected data. Such intelligent design will naturally result in efficient and cost effective systems. The concept of IOT and the architecture of IOT are discussed. The key technologies of IOT, including Radio Frequency Identification technology, Electronic Product Code technology are analyzed. The framework of digital agriculture application based on IOT is proposed.

Reverse engineering has become an important tool for CAD model construction from the data points, measured by a coordinate measuring machine (CMM), of an existing part. However, due to special structure and complex topology relation, obtaining full surface data of a prototype is not an easy thing and should carry out complex data process procedure to get global model. The paper presents a method for pre-processing data points for curve fitting in reverse engineering. The proposed method has been developed to process the measured data points before fitting into a B-spline form. The method is implemented and used for a practical application in reverse engineering. The result of the reconstruction proves the viability of the proposed method for integration with current commercial CAD systems.