Guest Editors
Prof. Dr. Shengzong Zhou
Email: sz.zhou.gci@gmail.com
Affiliation: Gesellschaft Chinesischer Informatiker in Deutschland e.V. (GCI), An der Trift 11, D-76149, Karlsruhe, Germany
Homepage:
Research Interests: computer software and theory, software engineering, computer application technology, Information systems, 3D printing, virtual manufacturing, virtual reality
Prof. Dr. Pascal Lorenz
Email: pascal.lorenz@uha.fr
Affiliation: Network and Telecommunication Research Group, University of Haute-Alsace, 68008 Colmar, France
Homepage:
Research Interests: communication systems, Internet of Things, information infrastructure, modeling technology, data security
Prof. Dr. Jacek Mucha
Email: j_mucha@prz.edu.pl
Affiliation: Department of Mechanical Engineering, Faculty of Mechanical Engineering and Aeronautics, Rzeszw University of Technology, 35-959 Rzeszw, Poland
Homepage:
Research Interests: finite element analysis, material processing, mechanical testing, stress analysis, mechanical properties, advanced materials
Prof. Dr. Fábio Fernandes
Email: fabiofernandes@ua.pt
Affiliation: Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, Campus de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal
Homepage:
Research Interests: constitutive models and material characterization, safe application materials, computational mechanics, process simulation, finite element analysis
Summary
Artificial intelligence is rapidly transforming all industries, and advanced manufacturing is no exception. AI technologies such as machine learning, neural networks, and computer vision are gradually being integrated into the manufacturing process to increase productivity, optimize resource utilization, and improve product quality and reliability. Advanced manufacturing technologies, including sustainable manufacturing, laser manufacturing, industrial robotics, and industrial IoT, are being combined with AI to form an intelligent manufacturing system. This system not only optimizes production management and supply chain scheduling, but also achieves higher precision and flexibility, and improves the intelligence of the manufacturing process. Against this background, this special issue will invite experts and scholars from all over the world to present their latest research results, discuss the innovative applications of AI technologies in advanced manufacturing, and promote the communication and cooperation between academia and industry.
This special issue will cover a wide range of areas from fundamental theoretical research to practical applications, including research on data analysis, modeling design and process technology in advanced manufacturing processes. These studies are important for driving manufacturing intelligence and improving the overall performance of intelligent systems. Topics of interest include, but are not limited to:
1. Machine learning and big data analytics in manufacturing
2. Intelligent robotics and collaborative automation
3. Virtual reality and augmented reality in virtual manufacturing
4. Computer vision in laser manufacturing
5. Optimization algorithms in sustainable manufacturing
6. Internet of things and edge computing for perception applications in smart manufacturing
7. Production management and scheduling optimization in smart manufacturing systems
8. Artificial intelligence-based fault diagnosis and predictive maintenance
9. Artificial intelligence-driven product quality inspection and optimization
10. Adaptive and flexible manufacturing for manufacturing systems
11. Human-machine collaboration and intelligent factory management
12. Transparency and trustworthiness of artificial intelligence systems in manufacturing
Keywords
Artificial Intelligence, Machine Learning, Computer Vision, Big Data, Advanced Manufacturing, Smart Systems, Quality Control, Digital Manufacturing, Flexible Manufacturing, Production Management and Scheduling Optimization
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