Prediction modeling, process optimization, and property analysis of laser cladding Ni60 alloy on 56NiCrMoV7 steel
Source abstract
Abstract
A theoretical and experimental study on laser cladding of Ni60 alloy on 56NiCrMoV7 steel is presented for remanufacturing of machine parts. Due to multiparameter and nonlinearity of the laser cladding process, it is a challenge for developing an accurate method to predict the geometry dimension and the forming quality of multitrack coatings. In this paper, the nonlinear relationships between the process parameters (laser power, powder feeding rate, scanning speed, and overlap rate) and the geometry dimensions (melt width and melt height) as well as the forming qualities (dilution rate and microhardness) of the Ni60 alloy coating are established using the response surface methodology. Statistical analysis gives the influences of each process parameter and their interaction effects on the geometry dimensions and forming qualities of coatings. Process optimizations are also carried out to acquire the desired coating. The verification experiments under optimized conditions are conducted, which indicates that the results obtained by the prediction models agree well with the actual values. Metallographic observation shows that the grain sizes of the microstructure in the coating are different at different zones. X-ray diffraction and scanning electron microscopy results display that the microstructure of the Ni60 coating is mainly composed of austenite phase and (Cr, Fe)7C3 phase. The microhardness of the Ni60 coating is about twice that of 56NiCrMoV7 steel, and the compressive strength of the material with Ni60 coating is higher than that of the 56NiCrMoV7 material. Finally, the practical application of the presented method for repairing the damaged surfaces of a hammer head is proceeded successfully.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Welding Techniques and Residual Stresses · High Entropy Alloys Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology 1 , Xi’an,
School of Aeronautical Manufacturing Engineering, Xi’an Aeronautical Polytechnic Institute 2 , Xi’an,
Funding
National Natural Science Foundation of China
References (29)
Show source-provided references
1. Numerical and experimental investigation on the effects of submerged arc welding sequence on the residual distortion of the fillet welded plates10.1177/0954405414560038 ↗
2. Investigation on the effects of tool geometry on the microstructure and the mechanical properties of dissimilar friction stir welded polyethylene and polypropylene sheets10.1016/j.jmapro.2017.02.018 ↗
3. Comparative study on the microstructure and properties of hammer heads based on laser cladding and surface overlay welding processes
4. Study on the dynamic characteristics of the forging box structure of a four hammer radial forging machine
5. Experimental and theoretical analysis of wear mechanism in hot-forging die and optimal design of die geometry10.1016/j.wear.2014.06.021 ↗
6. Research on precision forging machine hammer head processing and surfacing welding technology
7. Welding repair process for forging machine hammer head 56NiCrMoV7
8. Comparison on microstructures and properties of forging hammer by laser cladding and surfacing welding treatment10.14024/j.cnki.1004-244x.20180208.001 ↗
9. Prediction of TC11 single-track geometry in laser metal deposition based on back propagation neural network and random forest10.1007/s12206-022-0229-0 ↗
10. Numerical simulation and experimental prediction of the cladding layer based on the response surface method10.3390/coatings13050845 ↗
11. Laser cladding of nanoparticle TiC ceramic powder: Effects of process parameters on the quality characteristics of the coatings and its prediction model10.1016/j.optlastec.2019.03.048 ↗
12. Predictive modeling and the effect of process parameters on the hardness and bead characteristics for laser-cladded stainless steel10.1007/s00170-017-0898-5 ↗
13. Remanufacturing oriented multilayer cladding morphology prediction using a new second order fitting method10.1007/s11356-021-16303-1 ↗
14. Multi-track laser metal deposition of Stellite6 on martensitic stainless steel: Geometry optimization and defects suppression10.1016/j.jmapro.2022.12.036 ↗
15. Prediction of morphology and size of broadband laser coating based on neural network and genetic algorithm10.14158/j.cnki.1001-3814.20222927 ↗
16. Prediction of process parameters for surface weaving picosecond beam splitting of Ni60/WC coatings based on response surface methodology
17. Research on predictive modeling method for laser cladding geometry of automotive parts based on IDBO-KELM
18. A method for predicting the morphology of single-track laser coating based on SO-LSSVR10.1016/j.mtcomm.2024.108666 ↗
19. The influence of substrate tilt angle on the morphology of laser coating10.1016/j.surfcoat.2020.125706 ↗
20. The effect of laser power on the microstructure and properties of Ti6Al4V/NiCr Cr3C2 coating
21. Optimization method of laser cladding process parameters based on grey correlation analysis and adaptive chaotic differential evolution algorithm
22. Controllability study of dilution rate in high cedar laser cladding repair of nickel based high temperature alloys
23. Quality analysis and control of laser hot wire welding surface repair forming
24. Effect of process parameters on the microstructure and wear resistance of 20CrMnTi based laser cladding Ni60A-TiC coating
25. Statistical analysis and multi-objective process optimization of laser cladding TiC-Inconel718 composite coating10.1016/j.ijleo.2021.166828 ↗
26. Process optimization of laser cladding Ni60A alloy coating in remanufacturing10.1016/j.optlastec.2019.105718 ↗
27. Process optimization and performance analysis for laser cladding Ni60 alloy coating on surface of 316L stainless steel10.3788/CJL231232 ↗
28. Optimizing pulsed Nd∶YAG laser welding of high-Mn TWIP steel using response surface methodology technique10.1016/j.optlastec.2019.105721 ↗
29. Multi-objective optimization of process parameters of 45 steel laser cladding Ni60PTA alloy powder10.3390/coatings12070939 ↗