Laser additive remanufacturing parameters optimization and experimental study of heavy-duty sprocket

• Published in: International journal of advanced manufacturing technology Vol. 118; no. 11-12; pp. 3789 - 3800
• Main Authors: Guo, Chenguang, Lv, Ning, Yue, Haitao, Li, Qiang, Zhang, Jianzhuo
• Format: Journal Article
• Language: English
• Published: London Springer London 01.02.2022; Springer Nature B.V
• Subjects: Algorithms; CAE) and Design; Cladding; Computer-Aided Engineering (CAD; Dilution; Engineering; Industrial and Production Engineering; Lasers; Mathematical models; Mechanical Engineering; Mechanical properties; Media Management; Metallurgy; Microhardness; Multiple objective analysis; Optimization; Original Article; Prediction models; Process parameters; Remanufacturing; Repair; Scanning; Substrates; Heavy-duty sprocket; Laser additive remanufacturing; Parameters optimization; Cladding; MOPSO algorithm
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-021-08201-0

Experimental research on laser additive remanufacturing technology of heavy-duty sprocket was carried out. The influences of laser power, scanning speed, and powder feeding rate on cladding height, cladding area, melting area, and dilution rate were compared and analyzed. The prediction models of the combination of process parameters with the geometric characteristics of cladding layer and dilution were established. A multi-objective process parameter optimization model with the maximum cladding height and cladding area, the minimum melting area, and dilution rate as objective functions was established, and the model was optimized and solved based on MOPSO algorithm. The laser additive remanufacturing repairing experiment of damaged sprocket was carried out by using the optimal parameter combination, and the microstructure and mechanical properties of the repaired region were analyzed. The results show that the scanning speed and powder feeding rate are the main factors influencing the geometric characteristics and dilution of the cladding area, and the models have good prediction accuracy. The optimal process parameters (1150 W, 950 mm/min, 3.8 rad/min) obtained by MOPSO algorithm are adopted to repair the damaged sprocket. The repaired area without cracks and pores and the cladding layer show good metallurgical bonding with the substrate, and the microhardness is twice that of the substrate. The experimental results prove that the laser additive remanufacturing technology is feasible to repair the damaged heavy-duty sprocket and has a strong engineering application prospect.