Method for optimizing parameters of laser cladding process on plane

A technology of process parameter optimization and laser cladding, which is applied in the direction of metal material coating process and coating, can solve the problems of inability to express, lack of standards for parameter optimization, and inability to select, so as to achieve the effect of improving accuracy and reliability

Active Publication Date: 2018-09-21
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

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  • Method for optimizing parameters of laser cladding process on plane
  • Method for optimizing parameters of laser cladding process on plane
  • Method for optimizing parameters of laser cladding process on plane

Examples

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Embodiment 1

[0041] refer to figure 1 , this embodiment provides a method for optimizing process parameters of laser cladding on a plane, which specifically includes the following steps:

[0042] S1. Taking laser power, scanning speed, and powder feeding speed as the parameters to be optimized, an orthogonal experiment is designed according to the Taguchi method. After a single-pass cladding experiment is performed on a plane, the obtained melting width, melting height, and dilution rate are used as the response target and The analysis of variance is carried out to obtain the degree of influence of the three parameters to be optimized on the three response targets.

[0043] Further, step S1 includes the following sub-steps:

[0044] S11. Select the main influencing factors in the single-pass cladding experiment (including laser power, scanning speed, powder feeding speed, etc.) as the parameters to be optimized, select 3 to 5 levels according to the actual situation, and obtain the orthog...

Embodiment 2

[0112] In this example, on the basis of Example 1, the specific selected cladding powder and laser cladding equipment will be operated to find out the application of the cladding powder to the laser cladding equipment for laser single-pass cladding experiment. optimal parameters when . The following will mainly describe the selected parameters and the obtained data, etc., the specific steps refer to Example 1, which will not be repeated here, as follows:

[0113] The selected cladding powder is iron-based self-fluxing powder Fe313, the selected laser cladding equipment is a laser cladding head and a 6-axis KUKA robot integrated system, and the laser model is IPG-YLR500.

[0114] In step S1: select 5 levels, the 5 levels selected for laser power are 250W, 300W, 350W, 400W and 450W respectively, and the 5 levels selected for scanning speed are 3mm / s, 4mm / s, 5mm / s, 6mm / s, 7mm / s, the 5 levels selected for powder feeding speed are 0.5r / min, 0.65r / min, 0.8r / min, 0.95r / min, 1.1r / min...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C23C24/10
CPCC23C24/10
Inventor 杨林于天彪孙佳钰赵雨韩继标
Owner NORTHEASTERN UNIV
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