Direct fabrication of metal tubes with high-quality inner surfaces via droplet deposition over soluble cores

Yi, Hao; Qi, Lehua; Luo, Jian; Zhang, Daicong; Li, Ni

doi:10.1016/j.jmatprotec.2018.09.004

Cited by 48 publications

(19 citation statements)

References 30 publications

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“…Droplet‐based 3D printing, either piezoelectrically or pneumatically driven, is an example of the aforementioned techniques, which has recently gained attention. Its research and results on aluminum alloy printing have showcased good‐quality droplet printing, of μm resolution, rendering the technique viable for numerous applications in the field of electronic components and flexible circuits . Another very promising direct printing technique, with numerous demonstrations in LAE, is laser‐induced forward transfer (LIFT), in which a pulsed laser is used to eject material coated on a transparent donor substrate toward a desired receiver substrate.…”

Section: Introductionmentioning

confidence: 99%

Laser‐Induced Forward Transfer of High Viscous, Non‐Newtonian Silver Nanoparticle Inks: Jet Dynamics and Temporal Evolution of the Printed Droplet Study

et al. 2019

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Current technological trends in the field of microelectronics highlight the requirement to use cost-effective techniques for precise deposition of highly resolved features. Laser-induced forward transfer (LIFT) meets these requirements and is already applied for direct printing of electronic components. However, to improve the process' reproducibility and printing resolution, further research has to be conducted, regarding the rheological characteristics of the printable fluids and their jetting dynamics. Herein, a high-speed imaging setup is used to investigate the liquid jet's propagation during the printing process. Different Ag nanoparticle inks are studied and compared, over a wide range of viscosities and two different values of surface tension. The main focus of this investigation is the influence of the ink's rheological properties, both on the jet propagation and on the spatial and temporal evolution of the printed droplet during the wetting phase on three different receiver substrates (glass, SU-8, and gate dielectric). The results indicate that both the surface tension and the wetting properties of the receiver determine the shape of the printed droplet, whereas the inks' viscosity and laser fluence determine the printed volume.

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Section: Introductionmentioning

confidence: 99%

Laser‐Induced Forward Transfer of High Viscous, Non‐Newtonian Silver Nanoparticle Inks: Jet Dynamics and Temporal Evolution of the Printed Droplet Study

et al. 2019

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“…The platform integrates a unified feature extraction, quality prediction, and decision-making algorithm by visualizing crucial aspects of laser processes that enable the operator's feedback to the system. The current study regards the Laser Welding case; however, the platform can be easily adapted to accommodate the monitoring imaging systems of other applications, besides any training and validation, as mentioned in [7][8][9][10] extending by these means the cognitive capacity of the platform, such as additive manufacturing/laser metal deposition and cutting.…”

Section: Discussionmentioning

confidence: 99%

“…In this regard, systems for monitoring of Laser AM and 3D printing processes based on X-ray imaging have been developed allowing the exploitation of novel process insights [7,8]. Furthermore, in the case of metal droplet fusion processes, industrial computer tomography scanning is utilized for defect identification of the fabricated parts [9,10]. Moving to laser welding (LW) applications, monitoring systems utilizing machine learning (ML) technologies are achieving knowledge extraction towards control improvement of the process [11,12].…”

Section: Introductionmentioning

confidence: 99%

A three-stage quality diagnosis platform for laser-based manufacturing processes

Stavropoulos

Papacharalampopoulos

Stavridis

et al. 2020

Int J Adv Manuf Technol

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Diagnosis systems for laser processing are being integrated into industry. However, their readiness level is still questionable under the prism of the Industry’s 4.0 design principles for interoperability and intuitive technical assistance. This paper presents a novel multifunctional, web-based, real-time quality diagnosis platform, in the context of a laser welding application, fused with decision support, data visualization, storing, and post-processing functionalities. The platform’s core considers a quality assessment module, based upon a three-stage method which utilizes feature extraction and machine learning techniques for weld defect detection and quality prediction. A multisensorial configuration streams image data from the weld pool to the module in which a statistical and geometrical method is applied for selecting the input features for the classification model. A Hidden Markov Model is then used to fuse this information with earlier results for a decision to be made on the basis of maximum likelihood. The outcome is fed through web services in a tailored User Interface. The platform’s operation has been validated with real data.

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“…Although the wire feeding rate remains the same, the heat input will vary when using different arc modes [90]. Another factor that affects mechanical properties of WAAM components is metal transfer mode, which leads to different rate of liquid droplet transfer, even though the wire feeding rate remains the same [120][121][122]. In this sense, Wang et al [90] studied the effects of arc modes on mechanical properties during wire arc additive manufacturing of 316L stainless steel.…”

Section: Mechanical Propertiesmentioning

confidence: 99%

Wire Arc Additive Manufacturing of Stainless Steels: A Review

et al. 2020

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Wire arc additive manufacturing (WAAM) has been considered as a promising technology for the production of large metallic structures with high deposition rates and low cost. Stainless steels are widely applied due to good mechanical properties and excellent corrosion resistance. This paper reviews the current status of stainless steel WAAM, covering the microstructure, mechanical properties, and defects related to different stainless steels and process parameters. Residual stress and distortion of the WAAM manufactured components are discussed. Specific WAAM techniques, material compositions, process parameters, shielding gas composition, post heat treatments, microstructure, and defects can significantly influence the mechanical properties of WAAM stainless steels. To achieve high quality WAAM stainless steel parts, there is still a strong need to further study the underlying physical metallurgy mechanisms of the WAAM process and post heat treatments to optimize the WAAM and heat treatment parameters and thus control the microstructure. WAAM samples often show considerable anisotropy both in microstructure and mechanical properties. The new in-situ rolling + WAAM process is very effective in reducing the anisotropy, which also can reduce the residual stress and distortion. For future industrial applications, fatigue properties, and corrosion behaviors of WAAMed stainless steels need to be deeply studied in the future. Additionally, further efforts should be made to improve the WAAM process to achieve faster deposition rates and better-quality control.

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Direct fabrication of metal tubes with high-quality inner surfaces via droplet deposition over soluble cores

Cited by 48 publications

References 30 publications

Laser‐Induced Forward Transfer of High Viscous, Non‐Newtonian Silver Nanoparticle Inks: Jet Dynamics and Temporal Evolution of the Printed Droplet Study

Laser‐Induced Forward Transfer of High Viscous, Non‐Newtonian Silver Nanoparticle Inks: Jet Dynamics and Temporal Evolution of the Printed Droplet Study

A three-stage quality diagnosis platform for laser-based manufacturing processes

Wire Arc Additive Manufacturing of Stainless Steels: A Review

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