Background::
Particle Reinforced Metal Matrix Composites (PRMMCs) are widely used
because of the higher specific strength, better dimensional stability, lower thermal expansion coefficient,
better wear and corrosion resistance. However, the existence of reinforcing particles makes it
hard to machine. The main manifestations are as follows: severe tool wear, easy generation of debris
tumors in processing, and many defects on the machined surface, etc. These seriously limit its wider
application. The Finite Element Method (FEM) has been widely applied in the research of
PRMMCs machining according to recent patents, which can improve the efficiency and reduce the
cost of research. Therefore, it is necessary to carry out a deep research for the processing technology
of PRMMCs.
Methods::
In this paper, the latest research progress of finite element simulation of cutting PRMMCs
was summarized. The key technologies of finite element simulation, including constitutive model,
geometric model, friction model between chip and tool, fracture criterion and mesh generation, are
comprehensively analyzed and summarized. The application in the specific processing methods was
discussed, such as turning, milling, grinding, ultrasonic vibration grinding and drilling. The existing
problems and development direction of the simulation of PRMMCs cutting are also given. Besides,
a lot of patents on finite element simulation for PRMMCs machining were studied.
Results::
Finite element model for the actual composition determines the accuracy of finite element
simulation. Through the secondary development of finite element software, a more realistic finite
element model of Particle reinforced metal matrix composites can be established.
Conclusion::
Finite Element Method (FEM) provides a new approach for the study of mechanism of
Particle reinforced metal matrix composites machining. Quantitative analysis and prediction of micro-
details in cutting can be realized.
Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection
