Multi-objective optimization of key process parameters in laser cladding Stellite12 cobalt-based alloy powder
Source abstract
Abstract
Laser cladding (LC) process parameters have a substantial influence on coating morphology and mechanical characteristics; it is necessary to optimize key parameters for laser processing. In this study, Stellite12 cobalt-based alloy powder with excellent corrosion and wear resistance was selected as the cladding material. The multi-objective optimization model of the LC process was established by response surface methodology, laser power, scanning speed, and powder feeding rate as input factors, and the target response variables involve dilution, aspect ratio, and microhardness of the single-track cladding. Combined with variance analysis (ANOVA), the multi-objective optimization of laser power, scanning speed, and powder feeding rate was conducted. A single-track cladding layer with a dilution of 18.29%, an aspect ratio of 3.88, and a microhardness of 634.67 HV0.2 was obtained using the optimized process parameters. Errors between the predicted and actual values of single-track cladding dilution, aspect ratio, and microhardness were less than 8%, which verified the accuracy of the established model.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: High Entropy Alloys Studies · Additive Manufacturing Materials and Processes · High-Temperature Coating Behaviors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science and Chemical Engineering, Ningbo University 1 , Ningbo 315211, China
Zhejiang Key Laboratory of Additive Manufacturing Materials, Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences 2 , Ningbo 315201, China
Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Ningbo China 3 , Ningbo 315100, China
Funding
Natural Science Foundation of Zhejiang Province
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