In order to achieve good micro-removal grinding for aluminum clad of civil aircraft skin and solve the problems of low efficiency and quality with traditional manual grinding

the process of robotic grinding for aluminum clad was studied. According to Preston removal theory

the removal model of aluminum clad was established to analyze the influence of process parameters on the micro-removal of aluminum clad during grinding process. ABAQUS software was used to simulate the grinding process and the effects of grinding pressure

feed speed

abrasive grain and grinding speed on the removal depth were analyzed. A self-built robot grinding platform was used to design single factor experiments to verify the reliability of the model. The optimized process parameters were determined by orthogonal experiment to realize the control of micro-removal of aluminum clad. The results show that grinding pressure has a more influence on the removal depth

while abrasive particle size has a less effect on the removal depth. By controlling the grinding process parameters

the material can be uniformly removed at micron level and good surface quality can be obtained.