Results 81 to 90 of about 4,641,193 (302)

Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools

IEEE Transactions on Industrial Informatics
Smart manufacturing systems are a new paradigm in Industry 4.0 driven by the emerging information and communication technology and artificial intelligence that converge to digital twin, which are able to perceive, recognize, and handle the changes in ...
Jintang Huang, Sihan Huang, S. K. Moghaddam, Yu-Qian Lu, Guoxin Wang, Yan Yan, Xuejiang Shi   +6 more
semanticscholar   +1 more source

Analysis of the wall geometry with different strategies for high deposition wire arc additive manufacturing of mild steel [PDF]

, 2020
Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.Additive manufacturing has gained relevance in recent decades as an alternative to the manufacture of metal parts. Among the additive technologies, those that are classified as
Lamikiz, Aitzol, Aitzol Lamikiz, Bilbao, Jon, Eider Aldalur, Fernando Veiga, Suárez, Alfredo, Veiga Suárez, Fernando, Jon Bilbao, Aldalur, Eider, Lamikiz Mentxaka, Aitzol, Veiga, Fernando, Suárez González, Alfredo, Alfredo Suárez   +12 more
core   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

The Integration of Advanced Mechatronic Systems into Industry 4.0 for Smart Manufacturing

Sustainability
In recent years, the rapid advancement of digital technologies has driven a profound transformation in both individual lives and business operations. The integration of Industry 4.0 with advanced mechatronic systems is at the forefront of this digital ...
Mutaz Ryalat, E. Franco, Hisham Elmoaqet, N. Almtireen, Ghaith Al-refai   +4 more
semanticscholar   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Research on Multi-Scale Point Cloud Completion Method Based on Local Neighborhood Dynamic Fusion

Applied Sciences
Point cloud completion reconstructs incomplete, sparse inputs into complete 3D shapes. However, in the current 3D completion task, it is difficult to effectively extract the local details of an incomplete one, resulting in poor restoration of local ...
Yalun Liu, Jiantao Sun, Ling Zhao
doaj   +1 more source

Study on UV Energy Effects in High Aspect Ratio Patterning via the Self-propagating Photopolymer Waveguide (SPPW) Method [PDF]

한국정밀공학회지
This study quantitatively examines the impact of ultraviolet (UV) intensity and energy on the formation of high aspect ratio (HAR) microstructures using the Self-Propagating Photopolymer Waveguide (SPPW) process.
Jun Ho Song, Woo Young Kim, Seungwoo Shin, Seok Kim, Young Tae Cho   +4 more
doaj   +1 more source

Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects

Journal of manufacturing systems
research on KGs, identifying core advancements and their implications for future manufacturing practices. Firstly, cutting-edge developments in the challenge-driven roles of KGs and KG techniques are identified, from knowledge extraction and mining to ...
Yuwei Wan, Ying Liu, Zheyuan Chen, Chong Chen, Xinyu Li, Fu Hu, M. Packianather   +6 more
semanticscholar   +1 more source

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

Engineering, 2019
State-of-the-art technologies such as the Internet of Things (IoT), cloud computing (CC), big data analytics (BDA), and artificial intelligence (AI) have greatly stimulated the development of smart manufacturing.
Fei Tao, Qinglin Qi, Lihui Wang, A. Y. Nee   +3 more
semanticscholar   +1 more source

Introduction to smart manufacturing

Smart manufacturing refers to incorporation of state-of-the-art technolo-gies such as Artificial Intelligence (AI), Internet of Things (IoT), robotics and data analytics in the various stages of manufacturing process with the aim of automating the whole ...
Tariq, Faisal, Islam, M. M. Manjurul, Baptista, Márcia   +2 more
core   +1 more source