USENIX conference on Hot Topics in Cloud Ccomputing · 2012 · 68 citations · 8 references
ComputingCloud ComputingComputer ScienceCloud MigrationCluster ComputingVirtualizationCloud Resource ManagementCompute Resource ManagementCpu SchedulingResource SchedulingVirtual Machine MigrationWorkload SchedulingCache SharingCloud SchedulingNon-uniform Memory AccessResource Contention ManagementShared ResourcesVirtual Machine PlacementVirtual Machine Resource AllocationVirtual Machine Scheduling
As research progresses, the surface texture tool can significantly reduce the cutting heat and cutting force. However, the tool surface texture width, depth, and spacing also have an impact on the cutting performance. Using the Taguchi method and finite element analysis, the changing laws of cutting temperature, pressure, stress distribution, and cutting force were studied. The results showed that the tool texture width had the greatest influence on the cutting performance, followed by the tool texture depth and spacing. The increase of tool texture width lead to the decrease of cutting temperature, stress distribution, and cutting force, while the effect of texture depth on cutting stress distribution was more significant. Cutting performance could be improved by optimizing the texture size and structure of the cutting tool. This research has theoretical significance for improving the cutting performance of cutting tools.
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