Vision-based spatial damage localization method for autonomous robotic laser cladding repair processes

Imam, Habiba Zahir; Al-Musaibeli, Hamdan; Zheng, Yufan; Martı́nez, Pablo; Ahmad, Rafiq

doi:10.1016/j.rcim.2022.102452

Cited by 19 publications

(4 citation statements)

References 44 publications

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“…Laser-cladding can achieve an improved material strength, greater beam area, lower cost, and better thermal fatigue resistance owing to the combination of the matrix and powder. For example, Gnanamuthu et al 102 first proposed the laser cladding technique on a metal matrix, which could be used to repair chips, Imam proposed a spatial damage positioning method in laser repair processes using an autonomous robot 103 . Therefore, laser melting or cladding technologies are suitable for the repair of micro-LED displays, owing to their advantages of low cost, high stability, and excellent electrode repair effects.…”

Section: Laser Repair Technology and Mass Transfer Strategies Laser R...mentioning

confidence: 99%

Applications of lasers: A promising route toward low-cost fabrication of high-efficiency full-color micro-LED displays

Lai,

Liu,

et al. 2023

OES

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Micro-light-emitting diodes (micro-LEDs) with outstanding performance are promising candidates for next-generation displays. To achieve the application of high-resolution displays such as meta-displays, virtual reality, and wearable electronics, the size of LEDs must be reduced to the micro-scale. Thus, traditional technology cannot meet the demand during the processing of micro-LEDs. Recently, lasers with short-duration pulses have attracted attention because of their unique advantages during micro-LED processing such as noncontact processing, adjustable energy and speed of the laser beam, no cutting force acting on the devices, high efficiency, and low cost. Herein, we review the techniques and principles of laser-based technologies for micro-LED displays, including chip dicing, geometry shaping, annealing, laserassisted bonding, laser lift-off, defect detection, laser repair, mass transfer, and optimization of quantum dot color conversion films. Moreover, the future prospects and challenges of laser-based techniques for micro-LED displays are discussed.

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Section: Laser Repair Technology and Mass Transfer Strategies Laser R...mentioning

confidence: 99%

Applications of lasers: A promising route toward low-cost fabrication of high-efficiency full-color micro-LED displays

Lai,

Liu,

et al. 2023

OES

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“…One crucial step in remanufacturing involves inspecting end-of-life (EOL) products, which is mostly carried out manually by a skilled worker [6]. However, with promising achievements in computer vision applications, scientists are now focusing on automating this remanufacturing step by adopting intelligent defect detection approaches to recognize faulty regions on EOL parts that require restoration [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have focused on developing novel deep learning architecture targeting a specific environment and dataset [14][15][16][17][18]. Others adopted and fine-tuned some of the existing models trained and developed for a general object detection domain [7][8][9][19][20][21][22]. A recent approach involves improving a well-performed existing model utilizing hybrid methods [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Konovalenko et al [21] and Litvintseva et al [22] based their detection model on the U-Net architecture for defect detection. In [8,9], Imam et al leveraged one of the most known two-stage models-Faster R-CNN using the transfer learning concept (using the COCO dataset) to detect and localize steel parts' wear for a remanufacturing task.…”

Section: Introductionmentioning

confidence: 99%

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A Defect Detection Method Based on YOLOv7 for Automated Remanufacturing

Satsangee,

Al-Musaibeli,

Ahmad

2024

Applied Sciences

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Remanufacturing of mechanical parts has recently gained much attention due to the rapid development of green technologies and sustainability. Recent efforts to automate the inspection step in the remanufacturing process using artificial intelligence are noticeable. In this step, a visual inspection of the end-of-life (EOL) parts is carried out to detect defective regions for restoration. This operation relates to the object detection process, a typical computer vision task. Many researchers have adopted well-known deep-learning models for the detection of damage. A common technique in the object detection field is transfer learning, where general object detectors are adopted for specific tasks such as metal surface defect detection. One open-sourced model, YOLOv7, is known for real-time object detection, high accuracy, and optimal scaling. In this work, an investigation into the YOLOv7 behavior on various public metal surface defect datasets, including NEU-DET, NRSD, and KolektorSDD2, is conducted. A case study validation is also included to demonstrate the model’s application in an industrial setting. The tiny variant of the YOLOv7 model showed the best performance on the NEU-DET dataset with a 73.9% mAP (mean average precision) and 103 FPS (frames per second) in inference. For the NRSD dataset, the model’s base variant resulted in 88.5% for object detection and semantic segmentation inferences. In addition, the model achieved 65% accuracy when testing on the KolektorSDD2 dataset. Further, the results are studied and compared with some of the existing defect detection models. Moreover, the segmentation performance of the model was also reported.

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Artificial Intelligence in Remanufacturing Contexts: Current Status and Future Opportunities

De Simone,

Luisi,

Macchiaroli

et al. 2024

Lecture Notes in Mechanical Engineering

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Vision-based spatial damage localization method for autonomous robotic laser cladding repair processes

Cited by 19 publications

References 44 publications

Applications of lasers: A promising route toward low-cost fabrication of high-efficiency full-color micro-LED displays

Applications of lasers: A promising route toward low-cost fabrication of high-efficiency full-color micro-LED displays

A Defect Detection Method Based on YOLOv7 for Automated Remanufacturing

Artificial Intelligence in Remanufacturing Contexts: Current Status and Future Opportunities

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