Measurement in Industrial Applications – Intelligent Manufacturing System (IMS) using smart sensors, smart machinery and industrial internet of things
The global demand for smart, automated manufacturing equipment has been dubbed industrial internet of things or so-called industry 4.0. The new model of industrial applications is revolutionizing manufacturing by enabling the acquisition and accessibility of very different scales of data amounts, speeds, and efficiency than before.
The I2MTC 2018 special session on measurements in industrial applications – Intelligent Manufacturing System (IMS) using smart sensors, smart machinery, automated optical inspection, smart robotics and industrial internet of things features on computer integrated manufacturing. Aiming to make thorough discussion on this significant scientific revolution, this session is devoted to R&D works in the broader discussion on the applications of smart sensors, smart machinery, intelligent manufacturing system, Industrial IoT, and other related topics.
Papers reporting about research related to the following topics are welcome:
- Advanced human-machine interaction and augmented reality application
- Big data and intelligent manufacturing system
- Cyber-physical systems and machine-to-machine communication
- Detection, monitor and control technology in smart factories
- Harnessing sensor data for manufacturing insight
- Industrial IoT’s impact on manufacturing workforce and required skillsets
- Interoperability and security – devices, standards and architectures
- Smart sensors applied to smart machinery
- 3D geometry measurement and reconstruction
- Other-related topics
Organizers and Contact Information
Prof. Yao-Joe Yang, Instrument Technology Research Center, NARLabs (email@example.com)
Dr. Fong-Zhi Chen, Instrument Technology Research Center, NARLabs (firstname.lastname@example.org)
Dr. Chi-Hung Hwang, Instrument Technology Research Center, NARLabs (email@example.com)
Application of a Cyber-Physical System and Machine-to-Machine Communication for Metal Machining Processes
Adoption of an NC and/or CNC machine tools for metal machining has been a norm in contemporary manufacturing industry. Most of the machining information comes from the digital data generated from the adopted CAD/CAM software system. This can be served as the basis in forming a traditional flexible machining system (FMS) and/or computer integrated manufacturing system (CIM) for the integration among highly digitalized hardware. However, traditional FMS might become isolated digital islands if the used hardware and software are not digitally linked appropriately. This might result in, for example, reworking, errors, and risks in manufacturing industry practices.
This research focused on developing an IMS (intelligent manufacturing system) through the synergy of communication of machine tools, process management, and production knowhow to enable a cyber-physical system. The system architecture and the networking technique of the system are illustrated in this paper through a case study on a precision mold making system. The case study showed that about 40% of mold production time could be shortened. Furthermore, the learning curve of machinery operation could be eased, and the workload of an operator could also be reduced. This has then successfully demonstrated that networked production system with the integration of manufacturing information could be used to facilitate an IMS.
Keywords: CNC Machine Tools, Cyber-Physical System, Intelligent Manufacturing, Networking Machinery
Dr. Yung-Chou Kao is currently a Research Fellow and Head of the Division of Industry-University Cooperation at the Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI) and a Joint Professor at the Department of Mechanical Engineering, National Chung Cheng University (CCU), Taiwan, since August 2014. He received his Ph.D. degree in 1998 in the School of Manufacturing and Mechanical Engineering, University of South Australia (UniSA), Australia. He worked for the National Kaohsiung University of Applied Sciences (KUAS) as an Assistant Professor, Associate Professor, and Professor from 2000 to 2014, lectured manufacturing engineering related subjects and established the Remote Virtual Rapid Manufacturing (RVRM) Laboratory in 2002. He has also established the MAchinery Value ENgineering laboratory (MAVEN) in CCU. Dr. Kao had been invited to be the adviser of research and development organizations in Taiwan, including Metals Industry Research and Development Centre (MIRDC), and Precision Machinery Research and Development Center (PMC). He has published over one hundred and eighty papers including international journal and conference papers, held patents related to virtual reality machine tool simulation systems, and published three books. His teaching and research interests include Virtual Reality based machine tool emulator, smart manufacturing, networked digital manufacturing system, computer aided manufacturing, metal forming process simulation and die design optimization, multi-axes machining and emulations, etc.