A comparative study of vision detection and numerical simulation for laser cladding of nickel-based alloy

Yong, Yaowei; Wang, Fu; Deng, Qilin; Chen, Dianbin

doi:10.1016/j.jmapro.2017.03.004

Cited by 43 publications

(11 citation statements)

References 30 publications

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“…Secondly, we use the self-defined heat source subroutine to load and set the initial ambient temperature at 25 °C. Finally, we create a job to solve [ 35 , 36 , 37 , 38 ].…”

Section: Finite Element Modelmentioning

confidence: 99%

Numerical Simulation and Experimental Study on Residual Stress in the Curved Surface Forming of 12CrNi2 Alloy Steel by Laser Melting Deposition

Cui

Dong³

et al. 2020

Materials

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The performance and service life of the nuclear emergency diesel engine shaft made of 12CrNi2 alloy steel is very important for the safety of nuclear power. Laser melting deposition (LMD) is a challenging camshaft-forming technology due to its high precision, rapid prototyping, and excellent parts performance. However, LMD is an unsteady process under the local action of laser, especially for curved surface forming, which is more likely to generate large residual stress on components, resulting in cracks and other defects. At present, the stress research on LMD curved surface forming is relatively insufficient. In the present paper, material parameter testing, high-temperature mechanical properties analysis, single-track sample preparation, and heat source checks are conducted. At the same time, the ABAQUS software and the DFLUX heat source subroutine are used to compile the curved double-ellipsoidal moving heat source, and the effects of the temperature-dependent thermophysical parameters and phase change latent heat on the temperature field are considered. A three-dimensional finite element model is established to analyze the thermal stress evolution and residual stress distribution of multi-track multi-layer on a curved surface by LMD, and the effect of the scanning method and interlayer cooling time on the residual stress of the formed components is studied. The results show that with the increase in temperature, the strength of the material reduces, and the fracture morphology of the material gradually transitions from ductile fracture to creep fracture. The material parameters provide a guarantee for the simulation, and the errors of the width and depth of the melt pool are 4% and 9.6%, respectively. The simulation and experiment fit well. After cooling, the maximum equivalent stress is 686 MPa, which appears at the junction of the substrate and the deposited layer. The larger residual stress is mainly concentrated in the lower part of the deposited layer, where the maximum circumferential stress and axial stress are the tensile stress. Compared with the axial parallel lap scanning method, the arc copying lap scanning method has a relatively smaller maximum thermal stress and residual stress after cooling. The residual stress in the deposited layer is increased to some extent with the increase in the interlayer cooling time.

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“…Secondly, we use the self-defined heat source subroutine to load and set the initial ambient temperature at 25 °C. Finally, we create a job to solve [ 35 , 36 , 37 , 38 ].…”

Section: Finite Element Modelmentioning

confidence: 99%

Numerical Simulation and Experimental Study on Residual Stress in the Curved Surface Forming of 12CrNi2 Alloy Steel by Laser Melting Deposition

Cui

Dong³

et al. 2020

Materials

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“…32,33 It has attracted the attention of the manufacturing industry and researchers, and has shown significantly application prospects in innovative manufacturing of parts and development of new materials. 34 Yong et al 35 detected the moving process of the furnace hearth in the laser cladding from different angles using three vision sensors, and extracted the changing morphology of the furnace hearth through transformation and fusion algorithm for the collected images. Bartlett et al 36 proposed a method to detect online the size of the laser cladding experiment hearth by using an optical sensor, to evaluate the quality of cladding forming, and to thereby adjust the size of the laser power to improve the dimensional accuracy of the specimen.…”

Section: Introductionmentioning

confidence: 99%

Structural condition monitoring and identification of laser cladding metallic panels based on an acoustic emission signal feature optimization algorithm

Yang

2020

Structural Health Monitoring

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Laser cladding technology has become a central issue in industrial research and application recently. Due to the complexity of the processing and the difficulty of quantitative analysis, it is particularly important to effectively and reliably detect the forming quality of the cladding layer. Therefore, the laser cladding processing condition of metallic panels is monitored and identified based on acoustic emission technology in this article. Consequently, laser cladding acoustic emission signal of 316L stainless steel plate is first collected, and a multi-domain acoustic emission signal feature extraction method based on time–frequency domain and waveform parameters is constructed by integrating time–frequency, empirical, and inter-relationship diagraph analysis. Moreover, a feature optimization approach based on t-distributed stochastic neighbor embedding algorithm is proposed, which combines with correlation analysis to realize the de-redundancy and optimization of acoustic emission signal features. In addition, on the basis of optimizing the characteristics of acoustic emission signal, laser cladding acoustic emission signals under three technological parameters are collected. Second, a laser cladding condition identification method, which is a least square support vector machine algorithm based on niche particle swarm optimization, is proposed. The optimal parameter combination of niche particle swarm optimization algorithm is mainly selected to improve the accuracy of identification and classification. The results demonstrate the proposed t-distributed stochastic neighbor embedding feature optimization method can effectively extract the sensitive information related to the processing condition in the feature space, and the optimization of least square support vector machine parameters through niche particle swarm optimization can significantly improve the identification rate of classification. Specifically, the feasibility of the proposed t-distributed stochastic neighbor embedding–niche particle swarm optimization–least square support vector machine model to analyze laser cladding acoustic emission signal characteristics is verified, and the effectiveness of acoustic emission–based structural condition monitoring and identification of laser cladding plate-like structures is also demonstrated.

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“…[3][4][5][6] In recent years, researchers have begun to study intelligent detection method for expressway tunnel based on computer-vision technology. 7,8 Our development team developed a set of tunnel intelligent detection system which can complete detecting tunnel disease at a speed of 80 km/h, as shown in Figure 1. 9 However, due to the complex working environment of expressway tunnels, the tunnel intelligent detection system still have imperative problems such as narrow application range, weak antidisturbance capability, and low-quality image.…”

Section: Introductionmentioning

confidence: 99%

Application-oriented type synthesis and coupling kinematics analysis of a 1R^x2T^yz parallel stabilized platform for tunnel detection system

Liu

Duan

et al. 2019

International Journal of Advanced Robotic Systems

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For collecting image high precisely, the application-oriented type synthesis and kinematics analysis for parallel vehicle-based stabilized platform are systematically carried out. Firstly, taking multi-camera install center and vehicle trajectory offset as research objects, the influence of external perturbation on visual system is analyzed quantitatively by numerical calculation and field testing. On this basis, a new type of 2SPR/RPS parallel mechanism with two-translational and one-rotational degree of freedoms is presented. Secondly, by analyzing the motion characteristic of 2SPR/RPS parallel mechanism, the motion adjoint transformation and input-output mapping for parallel vehicle-based stabilized platform are proposed by screw description of rigid-body movement. In addition, an experimental prototype is developed, and the results between numerical examples and semi-physical simulations are compared in order to prove the validity of theoretical analysis. Finally, based on the concept of influence of external perturbations on tunnel detecting system, an external parameter identify method for coupling pose and object distance of visual system is studied. The results can be extended to development, application, and performance evaluation for parallel vehicle-based stabilized platform in next step.

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A comparative study of vision detection and numerical simulation for laser cladding of nickel-based alloy

Cited by 43 publications

References 30 publications

Numerical Simulation and Experimental Study on Residual Stress in the Curved Surface Forming of 12CrNi2 Alloy Steel by Laser Melting Deposition

Numerical Simulation and Experimental Study on Residual Stress in the Curved Surface Forming of 12CrNi2 Alloy Steel by Laser Melting Deposition

Structural condition monitoring and identification of laser cladding metallic panels based on an acoustic emission signal feature optimization algorithm

Application-oriented type synthesis and coupling kinematics analysis of a 1R^x2T^yz parallel stabilized platform for tunnel detection system

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A comparative study of vision detection and numerical simulation for laser cladding of nickel-based alloy

Cited by 43 publications

References 30 publications

Numerical Simulation and Experimental Study on Residual Stress in the Curved Surface Forming of 12CrNi2 Alloy Steel by Laser Melting Deposition

Numerical Simulation and Experimental Study on Residual Stress in the Curved Surface Forming of 12CrNi2 Alloy Steel by Laser Melting Deposition

Structural condition monitoring and identification of laser cladding metallic panels based on an acoustic emission signal feature optimization algorithm

Application-oriented type synthesis and coupling kinematics analysis of a 1Rx2Tyz parallel stabilized platform for tunnel detection system

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Application-oriented type synthesis and coupling kinematics analysis of a 1R^x2T^yz parallel stabilized platform for tunnel detection system