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A Survey on Recent Applications of Machine Learning with Big Data in Additive Manufacturing Industry

Micheal Omotayo Alabi, Ken Nixon, Ionel Botef
2018 American Journal of Engineering and Applied Sciences  
This paper explores recent applications of Machine Learning with Big Data in the field of additive manufacturing, for instance, application of machine learning in detecting defect or anomaly during build  ...  Additive Manufacturing (AM) which is also known as 3D printing technology; is recognized as a new paradigm for manufacturing industry.  ...  Acknowledgement The corresponding author acknowledge the two coauthors of this paper for theirsupport and contributions.  ... 
doi:10.3844/ajeassp.2018.1114.1124 fatcat:sjohrqgje5gsxmt7sbeps5rr5y

Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products

Vaibhav Kadam, Satish Kumar, Arunkumar Bongale, Seema Wazarkar, Pooja Kamat, Shruti Patil
2021 Applied System Innovation  
Nonetheless, 3D printed products are still subjected to defects due to variation in properties and structure, which leads to deterioration in the quality of printed products.  ...  In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also proving to be beneficial in terms of financial and time efforts.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/asi4020034 fatcat:jdzw76eyq5g57gryroado7573q

Front Matter: Volume 11172

Christophe Cudel, Stéphane Bazeille, Nicolas Verrier
2019 Fourteenth International Conference on Quality Control by Artificial Vision  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  11172-90] 11172 0B Pseudo normal image generation for anomaly detection on road surface [11172-96] 11172 0C Moisture measurement for quality and control applications [11172-99] iii Proc. of SPIE  ... 
doi:10.1117/12.2540539 fatcat:pahqih5qargndakjaj5dw7oly4

Goals and measures for analyzing power consumption data in manufacturing enterprises

Sören Henning, Wilhelm Hasselbring, Heinz Burmester, Armin Möbius, Maik Wojcieszak
2021 Journal of Data, Information and Management  
Accompanied by a literature review, we propose to implement the measures real-time data processing, multi-level monitoring, temporal aggregation, correlation, anomaly detection, forecasting, visualization  ...  In this paper, we follow up on such emerging opportunities for data acquisition and show that analyzing power consumption in manufacturing enterprises can serve a variety of purposes.  ...  Visualizations of forecasts and detected anomalies are currently under development.  ... 
doi:10.1007/s42488-021-00043-5 fatcat:x73o7pubk5ee3fiftpqooul37u

Towards Smart Monitored AM: Open Source in-Situ Layer-wise 3D Printing Image Anomaly Detection Using Histograms of Oriented Gradients and a Physics-Based Rendering Engine [article]

Aliaksei Petsiuk, Joshua M. Pearce
2021 arXiv   pre-print
This study presents an open source method for detecting 3D printing anomalies by comparing images of printed layers from a stationary monocular camera with G-code-based reference images of an ideal process  ...  Twelve similarity and distance measures were implemented and compared for their effectiveness at detecting 3D printing errors on six different representative failure types and their control error-free  ...  method for detecting printing errors.  ... 
arXiv:2111.02703v1 fatcat:dutlnwbam5aohkkspepwnqa4ii

Visual Inspection System for Anomaly Detection on KTL Coatings Using Variational Autoencoders

Nejc Kozamernik, Drago Bračun
2020 Procedia CIRP  
In this paper a variational autoencoder model for anomaly detection is presented to make further image processing more immune to variability and to detect coating defects more reliably.  ...  In this paper a variational autoencoder model for anomaly detection is presented to make further image processing more immune to variability and to detect coating defects more reliably.  ...  Acknowledgements This work was supported by the Ministry of Higher Education, Science and Technology of the Republic of Slovenia, research program P2-0270, and by the TPV Group.  ... 
doi:10.1016/j.procir.2020.04.114 fatcat:jx5u42behnapxlgfl3op4olor4

PRZEGLĄD WYKORZYSTANIA AOI W PROCESIE KONTROLI MONTAŻU POWIERZCHNIOWEGO

Magdalena Michalska
2020 Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska  
texture anomaly detection.  ...  Automated optical 3D inspection systems provide a precise metrology system, eliminating shadows, image cropping and distortion, providing reliable data and high-resolution 3D visualization for even the  ... 
doi:10.35784/iapgos.2379 fatcat:jwf2hvsvx5awlnz7altdmlztgq

Adaptation of Full-Reference Image Quality Assessment Methods for Automatic Visual Evaluation of the Surface Quality of 3D Prints

Krzysztof Okarma, Jaroslaw Fastowicz
2019 Elektronika ir Elektrotechnika  
Automatic visual quality assessment of the 3D printed surfaces is currently one of the most demanding challenges in additive manufacturing.  ...  Regardless of the applications of the computer vision for the 3D printing process monitoring purposes, a reliable surface quality evaluation during manufacturing may introduce brand new possibilities.  ...  [14] used neural networks to analyze the quality of electronic products obtained using the 3D inkjet printing technology.  ... 
doi:10.5755/j01.eie.25.5.24357 fatcat:kmgz4xyt4vfrlku4vi62zi4o4u

Real-time Process Authentication for Additive Manufacturing Processes based on In-situ Video Analysis

Abdullah Al Mamun, Chenang Liu, Chen Kan, Wenmeng Tian
2021 Procedia Manufacturing  
Since most of the cyber-physical attacks aiming to alter AM processes can be manifested in the change of printing path, an in-situ optical imaging system is capable of detecting alteration in printing  ...  Since most of the cyber-physical attacks aiming to alter AM processes can be manifested in the change of printing path, an in-situ optical imaging system is capable of detecting alteration in printing  ...  Durant Fullington for his help with the experimental setup used in the case study.  ... 
doi:10.1016/j.promfg.2021.06.068 fatcat:4n6ubbwwwbgptpeua6isaxwi34

Objective 3D Printed Surface Quality Assessment Based on Entropy of Depth Maps

Jarosław Fastowicz, Marek Grudziński, Mateusz Tecław, Krzysztof Okarma
2019 Entropy  
The automatic objective assessment of the surface quality of the 3D printed objects proposed in the paper, which is based on the analysis of depth maps, allows for determining the quality of surfaces during  ...  printing for the devices equipped with the built-in 3D scanners.  ...  Some early ideas of the visual monitoring of the 3D printing progress have been related to the use of process signatures applied for fused deposition of ceramics [6, 7] and detection of places with missing  ... 
doi:10.3390/e21010097 pmid:33266813 fatcat:xtgr7se54ndz5ll3wcfcf5d25q

Front Matter: Volume 9534

2015 Twelfth International Conference on Quality Control by Artificial Vision 2015  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online, print, and electronic versions of the publication.  ...  [9534-3] 9534 0A A boosting approach for prostate cancer detection using multi-parametric MRI [9534-25] 9534 0B Joint detection of anatomical points on surface meshes and color images for visual  ... 
doi:10.1117/12.2196823 fatcat:wsx4rcnyord45ogrbqb3ddasne

ANALYSIS AND VISUALIZATION OF DEFECT DETECTION USING DEEP LEARNING MODELS

Pasumarthi Sridevi, Tirumalaraju Ashrita, Chittineni Pranavi, Vattikonda Rushyanth
2022 Zenodo  
The detection of product defects are crucial in internal control in manufacturing. This study surveys state of the art deep-learning methods in defect detection.  ...  To further understand the difficulties within the field of defect detection, we investigate the functions and characteristics of existing equipment used for defect detection.  ...  product quality.  ... 
doi:10.5281/zenodo.6378956 fatcat:cofyljdjdjb25n6xr5i3i4jiti

Detecting Sabotage Attacks in Additive Manufacturing Using Actuator Power Signatures

Jacob Gatlin, Sofia Belikovetsky, Samuel B. Moore, Yosef Solewicz, Yuval Elovici, Mark Yampolskiy
2019 IEEE Access  
We evaluated the approach on five categories of toolpath command-level manipulations that impact the geometry of the 3D printed object.  ...  Additive manufacturing (AM), a.k.a. 3D printing is increasingly used to manufacture functional parts of safety-critical systems.  ...  Yampolskiy's work on this project was conducted while he was employed at the University of South Alabama.  ... 
doi:10.1109/access.2019.2928005 fatcat:iaehxp4p4va5pmcdxgjkdt25cy

Additive manufacturing of reconstruction devices for maxillofacial surgery: design and accuracy assessment of a mandibular plate prototype

Ilaria Campioni, Ilaria Cacciotti, Nikhil Gupta
2020 Annali dell'Istituto Superiore di Sanità  
The quality assessment of additive manufactured products is an essential aspect for the real introduction in health services.  ...  No anomalies and defects were detected inside the evaluated samples.  ...  of Engineering for providing facilities and support for this study.  ... 
doi:10.4415/ann_20_01_04 pmid:32242531 fatcat:mstxkch3ebbafdghnmvqfur7hy

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images [article]

Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekara, Xuewen Zhang, Chia-wei Woo, Jenny Low, Xiang Liu
2021 arXiv   pre-print
Quality control is of vital importance during electronics production.  ...  With some advanced algorithms, the new technologies are expected to control the production quality based on the digital images.  ...  Research on joint defect detection using thermal and optical imaging inspection has gained a great of interest due to the importance of quality control during electronics production that requires efficiency  ... 
arXiv:2008.02604v2 fatcat:etfgz75zcrg3znqq32ec25mwie
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