Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition

Chen, Lequn; Bi, Guijun; Yao, Xiling; Tan, Chaolin; Su, Jinlong; Ng, Nicholas Poh Huat; Chew, Youxiang; Liu, Kui; Moon, Seung Ki

doi:10.1016/j.rcim.2023.102581

Cited by 41 publications

(8 citation statements)

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“…Based on some practical model training, such as cutting-edge convolutional neural networks and machine learning models, the probability of defect occurrence under specific parameters can be accurately predicted. The prediction accuracy of some current models can reach more than 90% [152,252]. In addition, it is worthwhile to develop new energy sources for LDED Al alloys.…”

Section: Process Innovationmentioning

confidence: 99%

“…In addition, it is worthwhile to develop new energy sources for LDED Al alloys. Compared with traditional infrared wavelength lasers, [6,30,138,139,[252][253][254][255][256]. Reprinted from [138], © 2019 Elsevier B.V. All rights reserved; Reprinted from [139], © 2018 Elsevier Ltd. rights reserved; Reproduced from [30].…”

Section: Process Innovationmentioning

confidence: 99%

“…CC BY 4.0; Reproduced from [254]. CC BY 4.0; Reprinted from [252], © 2023 Elsevier Ltd. All rights reserved; Reprinted from [253], © 2023 Elsevier Ltd. All rights reserved; Reprinted from [255], © 2022 Central South University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd; Reprinted from [256], © 2021 Elsevier B.V. All rights reserved; Reprinted from [6], © 2021 Elsevier Ltd. All rights reserved.…”

Section: Process Innovationmentioning

confidence: 99%

“…Future research perspectives of LDED Al alloys. Image sources from[6,30,138,139,[252][253][254][255][256]. Reprinted from[138], © 2019 Elsevier B.V. All rights reserved; Reprinted from[139], © 2018 Elsevier Ltd. rights reserved; Reproduced from[30].…”

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confidence: 99%

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Review on laser directed energy deposited aluminum alloys

Liu,

Chen,

Qiu

et al. 2024

Int. J. Extrem. Manuf.

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The lightweight aluminum (Al) alloys have been widely used in frontier fields like aerospace and automotive industries, which attracts great interest in additive manufacturing to process high-value Al parts. As a mainstream additive manufacturing technique, laser directed energy deposition (LDED) shows good scalability to meet requirements for large-format components manufacturing and repairing. However, LDED Al alloys are highly challenging due to the inherent poor printability (e.g., low laser absorption, high oxidation sensitivity and cracking tendency). To further promote the development of LDED high-performance Al alloys, this review gains a deep understanding of the challenges and strategies to improve printability in LDED Al alloys. The porosity, cracking, distortion, inclusions, elements evaporation and resultant inferior mechanical properties (than laser powder bed fusion) are the key challenges in LDED Al alloys. Processing parameter optimizations, in-situ alloy design, reinforcing particle addition and field assistance are the efficient approaches to improve the printability and performance of LDED Al alloys. The underlying correlations between processes, alloy innovation, characteristic microstructures, and achievable performances in LDED Al alloys are discussed. The benchmarking mechanical properties and primary strengthening mechanism of LDED Al alloys are summarized. This review aims to provide a critical and in-depth evaluation of current progress in LDED Al alloys. The future opportunities and perspectives in LDED high-performance Al alloys are also outlooked.

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Section: Process Innovationmentioning

confidence: 99%

Section: Process Innovationmentioning

confidence: 99%

Section: Process Innovationmentioning

confidence: 99%

mentioning

confidence: 99%

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Review on laser directed energy deposited aluminum alloys

Liu,

Chen,

Qiu

et al. 2024

Int. J. Extrem. Manuf.

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“…Their approach achieved submillisecond temporal resolution and a near-perfect prediction rate, demonstrating a practical method for adopting the in-situ defect detection approach in commercial systems. Furthermore, multisensor monitoring offers enriched insights into the complex dynamics of LAM processes, thereby boosting defect detection accuracy [53]. Yet, the heterogeneity of data, sensor noise characteristics, and the varying relevance of different sensors to quality parameters complicate multi-sensor system deployment.…”

Section: Machine Learning Assisted In-situ Monitoring and Closed-loop...mentioning

confidence: 99%

Recent innovations in laser additive manufacturing of titanium alloys

Su,

Jiang,

Teng

et al. 2024

Int. J. Extrem. Manuf.

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Titanium (Ti) alloys are widely used in frontier fields like aerospace and biomedical engineering. Laser additive manufacturing (LAM), as an innovative technology, is the key driver for the development of Ti alloys. Despite the significant advancements in LAM of Ti alloys, there remain challenges that need further research and development efforts. To recap the potential of LAM high-performance Ti alloy, this article systematically reviews LAM Ti alloys with up-to-date information on process, materials, and properties. Several feasible solutions to advance LAM Ti alloys were reviewed, including intelligent process parameters optimization, LAM process innovation with auxiliary fields and novel Ti alloys customization for LAM. The auxiliary energy fields (e.g., thermal, acoustic, mechanical deformation and magnetic fields) that can be applied during LAM Ti alloys affect the melt pool dynamics and solidification behaviour, altering microstructures and mechanical performances. Different kinds of novel Ti alloys customized for LAM, like peritectic α-Ti, eutectoid (α+β)-Ti, hybrid (α+β)-Ti, isomorphous β-Ti and eutectic β-Ti alloys are reviewed in detail. Furthermore, machine learning in accelerating the LAM process optimization and new materials development is also outlooked. The review summarizes the material properties and performance envelops and benchmarks the research achievements in LAM of Ti alloys. In addition, the perspectives and further trends in LAM of Ti alloys are also highlighted.

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