Research on Slicing Chip Forming and Wear Analysis of Arc-tooth Slice Tool With Equal-rake Angle

As a new technology of gear processing, the gear slicing technology has distinct characteristics and broad application prospects. However, the lack in wear and life of the slice tool hinders the further widespread application of the gear slicing technology. Considering the chip forming mechanism is an important basis affecting the wear and service life of the cutter, this paper takes the arc-tooth slice tool with equal-rake angle (ATST-ERA) as the carrier and studies the chip forming and tool wear. Aiming at the particularity of the slicing process, the cutting process is unified and abstracted, and the cutting edge model, the cutting edge race model and the workpiece tooth surface model of the ATST-ERA are established, and then the undeformed chip geometry model is obtained. The correctness of the parametric model of the undeformed chip was verified by comparative analysis. Based on this model, the load of the cutting edge is calculated using the Kienzle empirical formula of the cutting force. By analyzing the relationship with the wear of the rake face, the positive correlation between the cutting edge load and the rake face wear of the ATST-ERA is found. The chip forming modeling method proposed in this paper provides a theoretical basis for the control of the slicing chip forming and the improvement of tool wear.

Research on Vehicle-Road Co-Location Method Oriented to Network Slicing Service and Traffic Video

The development of 5G network slicing technology, combined with the application scenarios of vehicle–road collaborative positioning, provides end-to-end, large-bandwidth, low-latency, and highly reliable flexible customized services for Internet of Vehicle (IoV) services in different business scenarios. Starting from the needs of the network in the business scenario oriented to co-location, we researched the application of 5G network slicing technology in the vehicle–road cooperative localization system. We considered scheduling 5G slice resources. Creating slices to ensure the safety of the system, provided an optimized solution for the application of the vehicle–road coordinated positioning system. On this basis, this paper proposes a vehicle–road coordinated combined positioning method based on Beidou. On the basis of Beidou positioning and track estimation, using the advantages of the volumetric Kalman model, a combined positioning algorithm based on CKF was established. In order to further improve the positioning accuracy, vehicle characteristics could be extracted based on the traffic monitoring video stream to optimize the service-oriented positioning system. Considering that the vehicles in the urban traffic system can theoretically only travel on the road, the plan can be further optimized based on the road network information. It was preliminarily verified by simulation that this research idea has improved the relative single positioning method.