Embedded printing trace planning for aluminum droplets depositing on dissolvable supports with varying section

Qi, Lehua; Yi, Hao; Luo, Jun; Zhang, Daicong; Shen, He

doi:10.1016/j.rcim.2019.101898

Cited by 22 publications

(14 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

See 1 more Smart Citation

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

Stavropoulos

Papacharalampopoulos

Stavridis

et al. 2020

Int J Adv Manuf Technol

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…Nonhorizontal Substrate Substrate shape significantly affects droplet deposition behavior, such as droplet impact on a groove or ridge formed by two intersecting substrates. [59][60][61] Figure 9a shows the results of the numerical simulation of impact solidification and shape evolution of the ridge by molten aluminum liquid. [61] In this case, the deflection rate ε ¼ 0 of the droplet impact corner is used to characterize the degree of deviation of the ridge apex from the droplet centerline.…”

Section: Bulging Edgementioning

confidence: 99%

Metal Droplet Deposition: From Foundation to Engineering Manufacturing

Wang

Cao

et al. 2022

Adv Eng Mater

Self Cite

View full text Add to dashboard Cite

Figure 5. a) Gas entrapment phenomenon of n-heptane droplets hitting the surface of stainless steel substrate. Reproduced with permission. [34] Copyright 1991, Royal Society. b) Simulation of gas entrapment by water droplets hitting a stainless steel substrate. Reproduced with permission. [10] Copyright 2003, AIP Publishing. c) Ultrafast X-ray phase-contrast imaging tracks the evolution of water droplet-trapping gas film. Reproduced with permission. [11] Copyright 2012, American Physical Society. d) Aluminum droplet gas entrapment phenomenon. Reproduced with permission. [12] Copyright 2016, Elsevier. e) Simulation of molten metal droplet gas entrapment evolution. Reproduced with permission.

show abstract

“…Therefore, the WAAM process is adequate for manufacturing preforms of large-size parts, which are manufactured from high-cost materials and require high volumes of machining [9]. Recently, droplet-based 3D printing that uses uniform metal micro-droplets as basic building blocks has been employed [10][11][12][13].…”

Section: Direct Energy Depositionmentioning

confidence: 99%

The Corrosion of Stainless Steel Made by Additive Manufacturing: A Review

Kim

Kwon

et al. 2021

Metals

View full text Add to dashboard Cite

The advantages of additive manufacturing (AM) of metals over traditional manufacturing methods have triggered many relevant studies comparing the mechanical properties, corrosion behavior, and microstructure of metals produced by AM or traditional manufacturing methods. This review focuses exclusively on the corrosion property of AM-fabricated stainless steel by comprehensively analyzing the relevant literature. The principles of various AM processes, which have been adopted in the corrosion study of stainless steel, and the corrosion behaviors of stainless steel depending on the AM process, the stainless steel type, and the corrosion environment are summarized. In this comprehensive analysis of relevant literature, we extract dominant experimental factors and the most relevant properties affecting the corrosion of AM-fabricated stainless steel. In selective laser melting, the effects of the scan speed, laser power, energy density, and the post-treatment technologies are usually investigated. In direct laser deposition, the most relevant papers focused on the effect of heat treatments on passive films and the Cr content. There has been no specific trend in the corrosion study of stainless steel that is fabricated by other AM processes, such as wire arc additive manufacturing. Given the rising utilization of AM-produced metal parts, the corrosion issue will be more important in the future, and this review should provide a worthwhile basis for future works.

show abstract

Embedded printing trace planning for aluminum droplets depositing on dissolvable supports with varying section

Cited by 22 publications

References 38 publications

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

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

Metal Droplet Deposition: From Foundation to Engineering Manufacturing

The Corrosion of Stainless Steel Made by Additive Manufacturing: A Review

Contact Info

Product

Resources

About