Research on structure and technological parameters of multi-channel cold spraying nozzle

Hu, Wenjie; Tan, Kun; Markovych, Sergii; Cao, Tingting

doi:10.15587/1729-4061.2021.242707

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Comparative analysis of the optimal solution for Al particles for the Laval nozzle's outlet velocity is 503.7 m/s, indicating that the Al particle is in a stage of decreasing velocity from leaving the Laval nozzle exit to the substrate surface, so it can be used as a reference for studying the spraying distance. Spraying distance is also an essential factor affecting spraying efficiency [22].…”

Section: An Impact Of Factors On the Velocitiesmentioning

confidence: 99%

Optimization of Cold Spray Nozzles Based on the Response Surface Methodology

Kun,

Wenjie,

Yurong

2024

JES

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Spraying technical parameters are important factors that affect spraying efficiency. Most studies on spraying technical parameters use single-factor methods to study the speed of spray particles, and few scholars have studied the joint influence of multiple factors. This article uses gas temperature, particle size, and gas pressure as independent variables, and the independent variables interact. The design-expert method was used to establish a linear regression equation model of the velocity of sprayed Al and Cu particles at the Laval exit and the velocity before deposition with the substrate, and the response surface analysis method was used to predict the optimal spraying parameters of Al and Cu particles. The study found the contribution rate of three factors to particle velocity: the prediction of particle velocity at the exit of the Laval nozzle and before deposition with the substrate was realized; the error between the predicted value of particle velocity and the actual value obtained by simulation is less than 1.6 %, indicating that the speed linear regression equation established is effective and reliable in predicting the simulation results; the optimal spraying parameters and particle speeds of Al and Cu particles were obtained through response surface analysis.

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Section: An Impact Of Factors On the Velocitiesmentioning

confidence: 99%

Optimization of Cold Spray Nozzles Based on the Response Surface Methodology

Kun,

Wenjie,

Yurong

2024

JES

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“…The process of cold spray deposition is a physical change; the particles undergo plastic deformation during the deposition process [4], [5], and the coating continuously compresses residual stress during the accumulation process. The compression characteristics of residual stress are helps improve the fa-tigue and strength characteristics of coating materials; residual stress is the result of particle/substrate and particle/particle interaction during the deposition process, and finally forms a dense coating on the substrate; cold spray technology is mainly used to improve performance of the part surface and achieve surface protection [6].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Simulating the Deposition Process of Cold Spray Multi-Particle Al-6061 based on CEL Method

Tan

2024

Mech. Adv. Technol.

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Cold spray is a solid-state deposition technique that improves the performance of part surfaces. Most scholars use the CEL framework to simulate the deposition of single particles on the substrate; Single particle depositions cannot fully characterize coating conditions. This article proposes to use the CEL method to simulate the deposition process of cold spray multi-particles on the Al6061 substrate. A multi-particle wrapped model is nested in a deposition model created by CEL to simulate the cold spray multi-particle deposition process. The Euler-Lagrangian method has the characteristics of high accuracy and robustness, and was selected as the method for multi-particle deposition model simulation; The CEL framework is a feasible method to simulate the actual cold spray multi-particle deposition process. The results show that the CEL framework can simulate the deposition of cold sprayed Al6061 multi-particles on the Al6061 substrate, observe the EVF Void value of the coating, and monitor the porosity of the coating after deposition. It is observed that the maximum substrate surface temperature after deposition is 528.2K and is located at the junction of particle and particle impact; By analyzing the temperature change curve of five points collected on the substrate over time, the curve appears multiple inflection points, indicating that heat transfer occurs between the particles and the substrate during the deposition process; the substrate first heats up and then cools down. During the multi-deposition process, the particles undergo plastic deformation and continuously squeeze the coating, thereby achieving interconnection between the particles and the substrate; Mechanical interlocking between particles forms a coating.

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“…Cold spray technology is often used as the main way to repair surface damage and improve performance of materials in the aviation field [8][9][10]; In the actual spraying process, the inevitable defect is the porosity of the coating. Studying the influencing factors of coating porosity has always been the focus of researchers.…”

Section: Introductionmentioning

confidence: 99%

Simulating multi-particle deposition based on CEL method: studing the effects of particle and substrate temperature on deposition

Tan,

Hu,

Shorinov

et al. 2024

aktt

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The subject matter of this study is to use numerical simulation methods to study the influence of the temperature of particles and substrates on the post-deposition coating during the multi-particle deposition process of cold spray. The goal is to study the temperature of Al6061 particles and the temperature of the substrate, which are factors that have a greater impact on the deposited coating, and to observe the shape of the coating and the temperature distribution of the cross-section of the substrate after deposition. The tasks to be solved are as follows: use Python scripts to model multi-particles, generate and randomly assign positions according to particle size distribution in the Euler domain, and establish a cold spray multi-particle collision model to simulate the process of cold spray deposition. The following methods were used: The influence of temperature and substrate temperature on the deposited coating was studied through a single variable method; the Coupled Eulerian Lagrangian (CEL) method was used to simulate the collision process of cold-sprayed Al6061 multi-particles. The following results were obtained: changing the temperature of Al6061 particles has a more obvious control effect on the porosity of the deposited coating; after particles of different temperatures impact the constant-temperature substrate, the high-temperature area on the surface of the substrate is mainly located at the junction of pits; after the particle temperature reaches 650K, the coating changes after deposition are no longer significant, indicating an optimal temperature range for Al6061 particle deposition; increasing the temperature of the substrate can increase the depth of particle deposition on the substrate; at the same time, it serves as a reference basis for further using the CEL method to predict the porosity of the Al6061 coating. Conclusions. The scientific novelty of the results obtained is as follows: 1) powder preheating can effectively reduce the porosity of Al6061 coating; 2) the CEL method has good robustness and is used to simulate cold spray multi-particle deposition to monitor the porosity of the coating, which cannot be achieved by the SPH and ALE methods.

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Research on structure and technological parameters of multi-channel cold spraying nozzle

Cited by 9 publications

References 20 publications

Optimization of Cold Spray Nozzles Based on the Response Surface Methodology

Optimization of Cold Spray Nozzles Based on the Response Surface Methodology

Numerical Study on Simulating the Deposition Process of Cold Spray Multi-Particle Al-6061 based on CEL Method

Simulating multi-particle deposition based on CEL method: studing the effects of particle and substrate temperature on deposition

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