Method for optimizing parameters of laser cladding process on plane

Abstract

The invention relates to a method for optimizing the parameters of a laser cladding process on a plane. The method for optimizing the parameters of the laser cladding process on the plane comprises the following steps: S1, taking a laser power, a scanning speed and a powder feeding speed as the parameters to be optimized, designing an orthogonal experiment according to a Taguchi method, and takinga weld width, a weld height and a dilution rate as response targets and carrying out variance analysis; S2, analyzing the three response targets by virtue of a grey correlation analysis method and then obtaining the final optimal parameter combination; S3, fitting the outline of a cladding layer under the final optimal parameter combination into a function and establishing a geometric model, calculating and analyzing, and then obtaining the optimal value of an overlapping rate; and S4, carrying out multi-channel and multi-layer cladding experiment, calculating and analyzing, and then obtaining the optimal value of a Z-axis lifting amount. The method for optimizing the parameters of the laser cladding process on the plane is capable of conveniently, rapidly, accurately and reliably obtaining the optimal parameters in a single-channel cladding process, a single-channel and multi-layer cladding process and a multi-channel and multi-layer cladding process when different cladding powders and / or laser cladding devices are used for carrying out laser cladding experiment on the plane.

Description

technical field [0001] The invention belongs to the technical field of laser cladding technology, and in particular relates to a method for optimizing parameters of laser cladding technology on a plane. Background technique [0002] In recent years, additive manufacturing technology has achieved rapid development, and laser cladding is the most typical and widely used technology in additive manufacturing technology. As an advanced additive manufacturing technology, laser cladding has become a research hotspot in the field of material surface modification. It adds cladding materials to the surface of the substrate and uses a high-energy-density laser beam to form a good metallurgical bond with the substrate. It is mainly used to manufacture parts with complex structures, and at the same time, it can repair failed parts. Laser cladding has the characteristics of many types of cladding materials, low dilution rate, good combination of coating and substrate, compact structure o...

AI Technical Summary

Problems solved by technology

[0004] However, there is currently a lack of standards for parameter optimization. There are many methods for single-pass laser cladding process parameter optimization, such as response surface method, BP neural network, mathematical statistics, etc. It is regarded as a parameter selection failure and needs to be re-tested, and the optimal parameter value cannot be found quickly and accurately

BP neural network needs a lot of data to train and array data to verify, the process is complex and cumbersome

However, if the data fitting is not good when the mathematical statistical method is optimized, it cannot be expressed in a unified coordinate system and cannot be selected.

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