Investigation of Geometric Characteristics in Curved Surface Laser Cladding with Curve Path

Lian, Guofu; Zhang, Hao; Zhang, Yang; Huang, Xu; Chen, Changrong; Jiang, Jibin

doi:10.3390/met9090947

Cited by 13 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scanning speed had a significant effect on the W/H. Finally, the regression equation of the W/H to the actual value is represented in Equation (4). Figure 6a shows the residual distribution of the dilution ratio.…”

Section: Variance Analysis For Cladding Layer W/hmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Objective Optimization of Process Parameters of 45 Steel Laser Cladding Ni60PTA Alloy Powder

Long

Qiu

et al. 2022

Coatings

View full text Add to dashboard Cite

When laser cladding is used to repair parts, the interaction of parameters has a significant influence on equipment performance. In order to explore the process parameters and quality of Ni60PTA coating, the statistical relationship between the process parameters (laser power, scanning speed, and powder feeding rate) and the responses (dilution ratio, ratio of layer width to height, and contact angle) was established by experiments using the response surface method (RSM) and variance analysis. The results show that the laser power is the dominant factor affecting the dilution ratio. However, the scanning speed has the greatest influence on the ratio of layer width to height and contact angle. These experimental results show that the proposed model can predict the actual data. In addition, the microstructure and microhardness of the samples prepared with the optimum process parameters were characterized. The results show that the quality of the cladding layer is good without cracks, deformation, and pores. The microstructure of the cladding zone is mainly composed of γ (Ni), FeNi3, M (M = Fe, Ni, Cr)23C6, M7C3, and CrB. The average microhardness of the coating is about 620 HV0.2, which is about 3.1 times that of 45 steel substrate.

show abstract

Section: Variance Analysis For Cladding Layer W/hmentioning

confidence: 99%

“…Laser cladding has many advantages compared to other modification technologies, such as a small heat-affected zone, a low dilution ratio, and a good metallurgical combination. Therefore, it has been widely used in the remanufacturing and repair of parts [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Process Parameters of 45 Steel Laser Cladding Ni60PTA Alloy Powder

Long

Qiu

et al. 2022

Coatings

View full text Add to dashboard Cite

show abstract

“…If it is directly used, the robot program file will be too large to execute, and the robot control system has to perform the interpolation point by point with extremely low efficiency. Furthermore, a greater degree of alloying and large dilution rate will occur during the laser cladding process when the cladding point set is too dense, which would pollute the composition of coatings and destroy its performance [22,23]. Therefore, on the premise of processing accuracy, it is essential to simplify the intersection point set and reasonably extract the effective processing points.…”

Section: Simplification Of the Intersection Datamentioning

confidence: 99%

Path Planning for Laser Cladding Robot on Artificial Joint Surface Based on Topology Reconstruction

Chen

Liu

2020

Algorithms

View full text Add to dashboard Cite

Artificial joint surface coating is a hot issue in the interdisciplinary fields of manufacturing, materials and biomedicine. Due to the complex surface characteristics of artificial joints, there are some problems with efficiency and precision in automatic cladding path planning for coating fabrication. In this study, a path planning method for a laser cladding robot for artificial joints surface was proposed. The key of this method was the topological reconstruction of the artificial joint surface. On the basis of the topological relation, a set of parallel planes were used to intersect the CAD model to generate a set of continuous, directed and equidistant surface transversals on the artificial joint surface. The arch height error method was used to extract robot interpolation points from surface transversal lines according to machining accuracy requirements. The coordinates and normal vectors of interpolation points were used to calculate the position and pose of the robot tool center point (TCP). To ensure that the laser beam was always perpendicular to the artificial joint surface, a novel laser cladding set-up with a robot was designed, of which the joint part clamped by a six-axis robot moved while the laser head was fixed on the workbench. The proposed methodology was validated with the planned path on the surface of an artificial acetabular cup using simulation and experimentation via an industrial NACHI robot. The results indicated that the path planning method based on topological reconstruction was feasible and more efficient than the traditional robot teaching method.

show abstract

“…The authors obtained the relationship between the response and the process parameters, and experimentally verified the model's reliability. However, it is difficult to solely use regression equations to describe this correlation when dealing with nonlinear data and data characteristics involving complex polynomials [23]. Song et al established a three-dimensional finite element model of the laser cladding process of 7075 aluminum alloy powder on 2024 aluminum alloy substrate, and obtained the temperature field and residual stress field generated during the process, in order to analyze the effects of different laser power, scanning speed, cladding layer lengths, cladding layer patterns, and cladding angles on fatigue life of aircraft Fuselage [24].…”

Section: Introductionmentioning

confidence: 99%

Comparative assessment of supervised machine learning algorithms for predicting geometric characteristics of laser cladded inconel 718

Yang,

Geng,

Alfano

et al. 2024

Mater. Res. Express

View full text Add to dashboard Cite

Laser cladding, an innovative surface modification and coating preparation process, has emerged as a research hotspot in material surface modification and green remanufacturing domains. In the laser cladding process, the interaction between laser light, powder particles, and the substrate results in a complicated mapping connection between process parameters and clad layer quality. This work aims to shed light on this mapping using fast evolving machine learning algorithms. A full factorial experimental design was employed to clad Inconel 718 powder on an A286 substrate comprising 64 groups. Analysis of variance, contour plots, and surface plots were used to explore the effects of laser power, powder feeding rate, and scanning speed on the width, height, and dilution rate of the cladding. The performance of the predictive models was evaluated using the index of merit (IM), which includes mean square error (MSE), mean absolute error (MAE), and coefficient of determination (R2). By comparing the performance of the models, it was found that the Extra Trees, Random forest regression, Decision tree regression, and XGBoost algorithms exhibited the highest predictive accuracy. Specifically, the Extra Trees algorithm outperformed other machine learning models in predicting the cladding width, while the RFR algorithm excelled in predicting the associated height. The DTR algorithm demonstrated the best performance in predicting the cladding dilution rate. The R2 values for width, height, and dilution rate were found to be 0.949, 0.954, and 0.912, respectively, for these three models.

show abstract

Investigation of Geometric Characteristics in Curved Surface Laser Cladding with Curve Path

Cited by 13 publications

References 24 publications

Multi-Objective Optimization of Process Parameters of 45 Steel Laser Cladding Ni60PTA Alloy Powder

Multi-Objective Optimization of Process Parameters of 45 Steel Laser Cladding Ni60PTA Alloy Powder

Path Planning for Laser Cladding Robot on Artificial Joint Surface Based on Topology Reconstruction

Comparative assessment of supervised machine learning algorithms for predicting geometric characteristics of laser cladded inconel 718

Contact Info

Product

Resources

About