Wanshan Wang

TL;DR: In this paper, the exact prediction of cutting forces in micro-end-milling is still not fully developed, however, the related cutting edge radius size effect, tool run-out, tool deflection and the exact trochoidal trajectory of tool flute are considered and presented in the proposed analytical prediction model.

TL;DR: In this article, the feasibility and method of the application of virtual reality technology to the grinding process, and introduces the modeling method of object entity in the environment of VR, the simulation process of grinding wheels and ground surface roughness is discussed, and the computation program system of numerical simulation is compiled with Visual C++ programming language.

TL;DR: In this paper, the authors evaluated the impact of GPNP on the performance of the hard-to-cut material (HCM) grinding process and provided the experiment basis for applying GPNPs to the MQL grinding.

TL;DR: In this article, the authors presented the modeling of cutting forces and instantaneous tool deflection in the micro end milling process, where the cutting forces directly lead to the tool deformation, which will have influence on the quality of machined surface.

TL;DR: In this article, the authors investigated the burr formation mechanism in micro end milling by considering the minimum chip thickness, as well as the size effect of cutting edge radius, and developed an analytical model to predict the size (height and width) of Poisson burr and exit burr.