The application belongs to the technical field of high-
performance tool coating, and relates to a design method of a cross-scale biomimetic gradient
coating based on a multi-principal-element high-entropy
system, which sequentially forms a high-entropy
alloy plastic layer, a high-entropy
alloy / high-entropy
ceramic strong and tough layer and a nanocrystalline high-entropy
ceramic superhard layer on the surface of a tool base body, constructs a gradient transition structure, matches the high-entropy
alloy plastic layer with a bonding phase of the tool base body, optimizes the high-entropy alloy / high-entropy
ceramic strong and tough layer material, improves the
interface bonding force, adopts thermal-mechanical
coupling calculation to optimize the gradient transition design, constructs an atomic model and optimizes the
microstructure based on
molecular dynamics simulation, establishes a finite
element model to simulate thermal cycles and mechanical loads, optimizes the interface performance, constructs a
mathematical model by using a BP neural network and a
particle swarm optimization algorithm, and realizes the
gradual transition design of the tool base body and the
coating. The application solves the problems of large
brittleness, insufficient adhesion and limited
thermal stability of the tool coating interface, and improves the
interface bonding performance of the coating, the stability and durability of the coating tool.