[HTML][HTML] A systematic review on deep learning with CNNs applied to surface defect detection
Surface defect detection with machine learning has become an important tool in industries
and a large field of study for researchers or workers in recent years. It is necessary to have a …
and a large field of study for researchers or workers in recent years. It is necessary to have a …
Modelling of fibre laser cutting via deep learning
AF Courtier, M McDonnell, M Praeger… - Optics …, 2021 - opg.optica.org
Laser cutting is a materials processing technique used throughout academia and industry.
However, defects such as striations can be formed while cutting, which can negatively affect …
However, defects such as striations can be formed while cutting, which can negatively affect …
[HTML][HTML] Predictive visualization of fiber laser cutting topography via deep learning with image inpainting
AF Courtier, M Praeger, JA Grant-Jacob… - Journal of Laser …, 2023 - pubs.aip.org
Laser cutting is a fast, precise, and noncontact processing technique widely applied
throughout industry. However, parameter specific defects can be formed while cutting …
throughout industry. However, parameter specific defects can be formed while cutting …
Cut interruption detection in the laser cutting process using ROCKET on audio signals
Laser cutting is one of the classic methods used in metal processing. With increasing
automation, it is important to ensure that large volumes can be produced reliably. This …
automation, it is important to ensure that large volumes can be produced reliably. This …
Effect of Fiber-Laser Parameters on Cutting Accuracy of Thin and Thick S355JR Structural Steel Plates
L Cepauskaite, R Bendikiene - Metals, 2024 - mdpi.com
Fiber lasers, the latest laser-cutting technology, are notable for their high process efficiency,
cutting precision, and high cutting quality for thin materials. However, the quality of the cut …
cutting precision, and high cutting quality for thin materials. However, the quality of the cut …
[HTML][HTML] Optimizing laser cutting of stainless steel using latin hypercube sampling and neural networks
S Kristijan, P David, B Lucijano, H Jernej… - Optics & Laser …, 2025 - Elsevier
Optimizing cutting parameters in fiber laser cutting of austenitic stainless steel is challenging
due to the complex interplay of multiple variables and quality metrics. To solve this problem …
due to the complex interplay of multiple variables and quality metrics. To solve this problem …
Material Classification in Laser Cutting using Deep Learning
Industrial laser cutting offers numerous advantages, including high speed, precision, and the
ability to process a wide range of materials. However, the versatility of this technology …
ability to process a wide range of materials. However, the versatility of this technology …
Anomaly detection in mechanical vibration using combination of signal processing and autoencoder
A Matsui, S Asahi, S Tamura, S Hayamizu… - Journal of Signal …, 2020 - jstage.jst.go.jp
The goal of this research is to detect abnormal behavior in vibration data of factory
machinery and take measures against failure. In this study, an accelerometer is mounted on …
machinery and take measures against failure. In this study, an accelerometer is mounted on …
[HTML][HTML] Velocity-based closed-loop control in fusion laser cutting for multi-directional and curved geometries
Fusion laser cutting allows for the processing of metallic sheets with high-edge quality,
provided that process parameters are selected accurately. To guarantee quality while being …
provided that process parameters are selected accurately. To guarantee quality while being …
Real-time cross-dataset quality production assessment in industrial laser cutting machines
In laser cutting processes, cutting failure is one of the most common causes of faulty
productions. Monitoring cutting failure events is extremely complex, as failures might be …
productions. Monitoring cutting failure events is extremely complex, as failures might be …