Abstract：Adding metal interlayer between the base layer and the cladding layer of the composite plate can prevent the element diffusion between the interfaces,but the traditional vacuum hot rolling method is difficult to ensure the vacuum degree of the interface of the interlayer and composite plate,oxides and impurities are very easy to appear at the bonding interface. Therefore,using the method of adding molten interlayer,iron cobalt nickel alloy with good fluidity is selected as the interlayer material. From the perspective of improving the fluidity of alloy melt,based on the control law of fluid mechanics and alloy solidification theory,considering the influence of alloy melt shear force and surface pressure on the coating process,a semi quantitative melt interlayer coating mathematical model under the influence of different alloy ratios is established. JMatPro software was used to analyze the influence of the change of mass fraction of iron,cobalt and nickel on the thermophysical parameters of the alloy. With the flow distance as the index,two factor and three level orthogonal tests were carried out under different alloy proportions,and the alloy proportion scheme with higher coating rate was determined by visual analysis. According to the previous research results of the research group,the initial coating temperature is 1 650 ℃,the coating pressure difference is 85 kPa,the suction diameter is 8 mm,and the sandwich width is 16 mm. The vacuum coating test between layers of stainless-steel composite slabs is carried out by relying on the ingot mold rotary vacuum arc melting/suction casting system,and the coating conditions between layers with different alloy ratios are compared. The results show that: the coating rate of Fe-Co-Ni alloy is relatively high when the Fe mass percent is small,and the Ni mass percent is large. The complete coated interlayer has successfully prepared with the Ni80Co15Fe5 alloy. The coating effect and the surface quality of the interlayer are good. Compared with the mathematical model,the test results and the conclusions from the model analysis mutually confirm.
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2023, Vol. 58 
