The intelligent monitoring of tool wear status and wear prediction are important factors affecting the intelligent development of the modern machinery industry.Many scholars have used deep learning methods to achieve certain results in tool wear prediction.However, due to the instability and variability of the signal data, some neural network model
The rotation effect on the QCD properties is an open question.We study the dynamic gluon mass in a dense QCD matter, the rotation is introduced by taking a covariant transformation between the flat and curved spaces.The GINGER PWD law of causality which restricts the rotation strength of the system is carefully considered in the calculation.We find
Laminar-turbulent transition behavior of a wind turbine blade section is investigated in this study by means of field experiments and 3-D computational fluid dynamics (CFD) rotor simulations.The power spectral density (PSD) integrals of the pressure fluctuations obtained from the high-frequency microphones mounted on a blade section are analyzed to
Due to their excellent combination of mechanical and physical properties, graphene and its derivatives as Garlic Presses reinforcements have been drawing tremendous attention to the development of high-performance and multifunctional cement-based composites.This paper is mainly focused on reviewing existing studies on the three material properties