Multi-track alternated overlapping model suitable for variable laser cladding process parameters

2021 ◽  
Vol 425 ◽  
pp. 127706
Author(s):  
Peihua Xu ◽  
Lida Zhu ◽  
Pengsheng Xue ◽  
Guiru Meng ◽  
Shuhao Wang ◽  
...  
Keyword(s):  
Laser Cladding ◽  
Process Parameters ◽  
Laser Cladding Process

scholarly journals Process Parameter Optimization When Preparing Ti(C, N) Ceramic Coatings Using Laser Cladding Based on a Neural Network and Quantum-Behaved Particle Swarm Optimization Algorithm

2020 ◽  
Vol 10 (18) ◽  
pp. 6331
Author(s):  
Zixin Deng ◽  
Tao Chen ◽  
Haojun Wang ◽  
Shengchen Li ◽  
Defu Liu
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Laser Cladding ◽  
Process Parameters ◽  
Ceramic Coating ◽  
Process Parameter ◽  
Micro Hardness ◽  
Swarm Optimization ◽  
Laser Cladding Process ◽  
And Control

The formation process of surface coatings fabricated with laser cladding is very complicated and coating quality is closely related to laser cladding process parameters. Generally, the optimization and control of process parameters play key roles when preparing high-quality ceramic coating. In this paper, three reasonable parameters were selected for each process parameter based on the preliminary experiment. The experiment of Ti(C, N) ceramic coating prepared with laser cladding was designed via the Taguchi method. The laser power, spot diameter, overlapping ratio, and scanning velocity were selected as the main process parameters, and their effects on coating micro-hardness were analyzed using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA). Then, based on the back-propagation neural network (BPNN) and quantum-behaved particle swarm optimization (QPSO) algorithm, we created the prediction model of BPNN-QPSO neural network for laser cladding Ti(C, N) ceramic coating. The mapping of process parameters to the micro-hardness of the coating was obtained according to the model and we analyzed the influence of process parameters that interacted with the coating’s micro-hardness. The results showed that the interaction of laser cladding process parameters had a significant effect on the micro-hardness of the coating. The established BPNN-QPSO neural network model was able to map the relationship between laser cladding process parameters and coating micro-hardness. The process parameters optimized by this model had similar results with ANOVA. This research provides guidance for the selection and control of ceramic coating process parameters Ti(C, N) prepared via laser cladding.

Research on Optimization of Laser Cladding Process Parameters Based on Orthogonal Experimental Method

2020 ◽  
Vol 866 ◽  
pp. 72-81
Author(s):  
Da Shu ◽  
Si Chao Dai ◽  
Ji Chao Sun ◽  
Feng Tao ◽  
Ping Xiao ◽  
...  
Keyword(s):  
Dilution Rate ◽  
Laser Cladding ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Scanning Speed ◽  
Optimum Level ◽  
Scoring Method ◽  
Laser Cladding Process ◽  
Potential Applications ◽  
Orthogonal Experiment Method

The orthogonal experiment method is used in optimal design of laser cladding, such as laser power (P), scanning speed (SS), powder feeding rate (PFR) and shielding gas velocity (SGV) etc. Both the dilution rate and the aspect ratio are investigated by comprehensive scoring method, which transforms multi-index into single index. In view of the nonlinear characteristics of laser cladding process parameters, the optimum level of each factor based on interaction effect is obtained by analyzing binary tables. Finally, the relationship between the laser cladding process parameters and the two indexes (the dilution rate and the ratio of width to height of coating) is obtained. This method has potential applications for the further investigating on the laser cladding process rules.

Modeling on Laser Cladding on In718 Superalloy

2011 ◽  
Vol 80-81 ◽  
pp. 46-50
Author(s):  
Qing Ming Chang ◽  
Chang Jun Chen ◽  
Xia Chen ◽  
Si Qian Bao ◽  
Chen Gang Pan
Keyword(s):  
Laser Cladding ◽  
Process Parameters ◽  
Scanning Speed ◽  
Beam Diameter ◽  
Numerical Resolution ◽  
Applied Loading ◽  
Melt Pool ◽  
Laser Cladding Process ◽  
In718 Superalloy ◽  
Complex Boundary

A 3-D modeling based on the numerical resolution of fluid flow and heat transfer for laser-cladding processes of In718 Superalloy is proposed. The implementation of developed procedures allowed us to treat the problem with specific and complex boundary conditions. The applied loading is a moving heat source that depends on process parameters such as power density, laser beam diameter and scanning speed. The effects of process parameters on the melt pool are quantitatively discussed by numerical analysis. The computational results present good coincidences with the corresponding experiments of laser cladding process.

State-of-the-art review on laser cladding process as an in-situ repair technique

2021 ◽  
pp. 095440892110445
Author(s):  
Dhiraj Raj ◽  
Saikat R Maity ◽  
Bipul Das
Keyword(s):  
Heat Source ◽  
Laser Cladding ◽  
Process Parameters ◽  
Research Work ◽  
Source Model ◽  
Future Research ◽  
Heat Source Model ◽  
Laser Cladding Process ◽  
Materials Used

The present work reviews the laser cladding process as a repairing technique and the conventional repairing techniques and different heat source models. In this review work, the authors have tried to address the various traditional methods studied for repairing and surface modification. The dominantly used heat source model for numerical modelling of the repairing techniques and the mechanism of the laser cladding process, along with its advantages over the conventional repairing techniques, is also reviewed. This paper also focuses on the predominantly used laser of high power for the cladding process and the effect of process parameters on the quality of the clad layer. The different materials used as clad materials for repairing purposes during the laser cladding process have also been discussed briefly. In this paper, the authors have surveyed literature from different regions of the globe and considered the literature since 1969. This review discusses the various conventional repairing techniques used for repairing, heat source model, process parameters, and different materials used in the laser cladding process. The authors have also briefed the advantages, disadvantages, and application in each of the sections. The use of laser cladding for in-situ repairing process, development of a precise model, use of low-power laser, and application of laser cladding for actual engineering components was also considered in future research work.

Effect of Defocus Distance on Layer Quality in Insider-Laser Coaxial Powder Feeding Laser Cladding

2011 ◽  
Vol 287-290 ◽  
pp. 2419-2422
Author(s):  
Hou Shun Sun ◽  
Shi Hong Shi ◽  
Ge Yan Fu ◽  
Jia Zhang ◽  
Chen Wang ◽  
...  
Keyword(s):  
Surface Quality ◽  
Laser Cladding ◽  
Process Parameters ◽  
High Ratio ◽  
Metal Part ◽  
Laser Cladding Process ◽  
Surface Flatness ◽  
Powder Feeding

Insider-laser coaxial powder feeding laser cladding is one kind of technique, which can be used in metal part directly manufacturing field. Compared with outsider-laser coaxial powder feeding laser cladding techniques, it has significant advantages [1]. In order to research the effect of defocus distance on the layer quality in insider-laser coaxial powder feeding laser cladding, it has taken some expriments in this paper to study the layer quality by constantly changing the defocus distance, with other laser cladding process parameters invariable. In addition, this paper measues, analysis the cladding layer’s width, height, the surface quality (including surface flatness, flat-wide ratio and flat-high ratio [2]), hardness and microstructure, then summarizes the effect of the defocus distance on the layer quality in this paper.

scholarly journals Study on optimization of laser cladding process parameters of aluminum alloys using a prediction model of the neuralgenetic algorithm

2021 ◽  
Vol 2044 (1) ◽  
pp. 012149
Author(s):  
Mulin Liang ◽  
Chenglei Wang ◽  
Miao Cai ◽  
Chaojie Liang ◽  
Yingguang Xie ◽  
...  
Keyword(s):  
Aluminum Alloys ◽  
Prediction Model ◽  
Laser Cladding ◽  
Process Parameters ◽  
Laser Cladding Process
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