|
|
|
|
|
Reenu Mohandas, Mark Southern, Eoin O?Connell and Martin Hayes
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedure...
ver más
|
|
|
|
|
|
|
|
|
|
|
Myung-Kyo Seo and Won-Young Yun
The steel industry is typical process manufacturing, and the quality and cost of the products can be improved by efficient operation of equipment. This paper proposes an efficient diagnosis and monitoring method for the gearbox, which is a key piece of m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Valentina Vendittoli, Wilma Polini, Michael S. J. Walter and Stefan Geißelsöder
Additive manufacturing has transformed the production process by enabling the construction of components in a layer-by-layer approach. This study integrates Artificial Neural Networks to explore the nuanced relationship between process parameters and mec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Szymon Kurpiel, Krzysztof Zagórski, Jacek Cieslik, Krzysztof Skrzypkowski and Witold Brostow
The aerospace industry is imposing increasingly strict dimensional tolerances, which is forcing continuous development in component manufacturing. Ensuring tight dimensional tolerances is difficult for thin-walled structures due to their reduced stiffnes...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hu Cai, Jiafu Wan and Baotong Chen
Traditional capacity forecasting algorithms lack effective data interaction, leading to a disconnection between the actual plan and production. This paper discusses the multi-factor model based on a discrete manufacturing workshop and proposes a digital ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Woo-Hyun Choi and Jung-Ho Lewe
This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yupu Huang, Li Zhuo and Jingjing Cao
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-sc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fajia Zheng, Bin Zhang, Yuqiong Zhao, Jiakun Li, Fei Long and Qibo Feng
Key errors of machine tools have a significant impact on their accuracy, however accurately and quickly measuring the geometric errors of machine tools is essential for key error identification. Fortunately, a quick and direct laser measurement method an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Noelia García, Miguel Gómez-Polo, Miriam Fernández, José Luis Antonaya-Martín, Rocío Ortega, Cristina Gómez-Polo, Marta Revilla-León and Rocío Cascos
Background: With CAD-CAM, dental models are often fabricated by additive manufacturing (AM) methods. Dental models for implant prostheses involve the manual placement of analogs, which could affect their final fit. Therefore, in this experimental in vitr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haopeng Zhang, Runhan Li, Kuan Lu, Xiaohui Gu, Ruijuan Sang and Donglin Li
The twin-spool rotor-bearing system plays a crucial role in the aero-engine. The potential manufacturing defect, assembly error, and abnormal working loads in the rotor-bearing system can induce multiple rotor failures, such as bolt looseness and rub imp...
ver más
|
|
|
|
|
|