Research on the Process of Laser Cladding Ni60 Coating on High-Nickel Cast Iron Surfaces

Author:

Chen Shunhu123,Feng Aixin123,Chen Chunlun123ORCID,Song Xiangyu4

Affiliation:

1. College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China

2. Rui’an Graduate College, Wenzhou University, Wenzhou 325206, China

3. Zhejiang Provincial Key Laboratory of Laser Processing Robots, Machinery Industry Key Laboratory of Laser Processing and Testing, Wenzhou 325035, China

4. Zhejiang Zhenxing Petrochemical Machinery Company Limited, Wenzhou 325204, China

Abstract

In order to achieve high-performance coatings on the surface of electric submersible pump impellers, it is crucial to optimize the laser cladding process parameters. Using Ansys 2021 R1 commercial software, a numerical simulation of laser cladding Ni60 powder on high nickel cast iron was conducted. The simulation utilized a 3D Gaussian heat source, parametric language, and life–death unit technology to replicate the characteristics of synchronous powder delivery laser cladding. The study focused on analyzing the temperature field cloud map and molten pool size under different laser power and scanning speeds, narrowing down the process parameter window, selecting optimized laser power and scanning speed, and assessing the changes in surface morphology, melting height and width, dilution rate, microhardness, and microstructure of the laser cladding coating. Results indicate that the coating width and thickness increase with higher laser power and lower scanning speeds. The microstructure consists primarily of dendritic, block, short rod, and long strip formations, and exhibits a tightly distributed and uniform grain structure. Furthermore, the microhardness of the coating shows a negative correlation with laser power and scanning speed. The optimal process parameters were determined to be a laser power of 1100 W and a scanning speed of 6 mm/s. A comparison with the simulation confirmed the effectiveness of the simulation in effectively guiding actual production.

Funder

Natural Science Foundation of Zhejiang Province

Major Special Project of Wenzhou Science and Technology Innovation and Tackling Industry

Innovation Fund of Wenzhou University Rui’an Graduate College

Publisher

MDPI AG

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