Special Issue "Frontiers in New Generation Product Manufacturing and Quality Inspection Based on Smart Sensing, Image Diagnostics and Advanced Computational Dynamics"

Submission Deadline: 30 January 2022
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Guest Editors
Dr. Yu Lu, Shenzhen Technology University, China
Prof. Xiaofeng Wu, Minnan Normal University, China
Prof. Zhong Li, Fern Universität in Hagen, Germany
Prof. Kelvin Wong, The University of Adelaide, Australia

Summary

With the rapid development of the global economy, the modern equipment manufacturing industry has undergone revolutionary development. People are no longer satisfied with product upgrades and pay more attention to product quality. Therefore, the requirements for product precision continue to increase, which promotes the development of modern machinery manufacturing towards high-speed, high-efficiency, high-precision, high-reliability and long life. How to improve the accuracy and reliability of mechanical equipment and extend the service life of the machine has become an important topic in the field of mechanical and industrial engineering.

 

Smart imaging and industrial diagnostics technology is one of the rapidly developing high and new technologies in today's world. It is also an important symbol of the development of contemporary science. Together with communication technology and computer technology, smart imaging and diagnostics technology forms the three pillars of information industry in the 21st century. If a computer is an extension of the laborious manual quality assurance inspection, then camera sensors are an extension of the human inspection features. Therefore each developed country regards automated quality inspection technology as the key technology of this century to try to develop. The application of sensors and deep learning-based image processing is also more and more extensive, has penetrated into various professional fields. However, the innovation of sensor-based machine learning technology and the ability of new product development are lagging.

 

One of the core foundations of mechanical and industrial engineering is multi-body system dynamics. Multi-body system is a high-level generalization and summary of general mechanical systems and electromechanical systems. Multi-body system dynamics is an emerging interdisciplinary subject and is considered to be one of the most active fields of applied mechanics. It is rooted in a solid foundation of general mechanics, ranging from mechanical engineering, aerospace engineering, vehicle engineering, bionic machinery, and robotics. To absorb nutrition in the application fields and exert its powerful functions through computer applications, so it has become the forefront of mechanics research in product design. On the other hand, due to the practicality of multi-body system dynamics, as an important research method and component of virtual prototype technology in computer-aided design and computer-aided engineering, it has become one of the important supporting points of advanced manufacturing technology.

 

This special issue focuses on the latest developments in machine learning-based image diagnostics, and multi-body system dynamics in the industry. The submitted content must not be published in advance, and may not be submitted for publication elsewhere. Subjects of interest include but are not limited to:

 

• New methods of deep learning image analysis and multi-body system modeling in product research and development

• Multi-body dynamics computational techniques based on machine learning

• Flexible multi-body dynamics system in smart product analysis

• Vehicle dynamics and mechanical framework dynamics in industry

• Discrete element methods and new applications in industrial products

• Robotics and new industrial generation products based on image diagnostics