Innovative manufacturing using ICT
- Promote new material development as the model base
- Data-driven smart system to improve productivity
- Improve accuracy of inspection and monitoring with high-speed image-processing technology
The waves of the so-called 4th Industrial Revolution, when the manufacturing industry incorporates AI, IoT, and big data, are rushing in. For Japanese corporations to maintain their global competitive edge, it’s necessary to respond to this revolution through the “digitalization of making things”.
In the Hiroshima region, we are using Mazda simulation technology to implement effective development known as “Model Base Development (MBD)”. We have already achieved the development of high-efficiency engines, for example. The MBD method can be adopted by many manufacturers as a common technology. Furthermore, Hiroshima University has joint-research relationships with many excellent manufacturing companies. This region has the foundation (competitive advantage) for digital manufacturing.
With this situation providing the background, Hiroshima University considers the research theme of “Using digital technology in manufacturing” as an important one for the school and has been promoting it. As the overall manufacturing value chain heads toward digitalization, superior research and development and the cultivation of human resources should be promoted. In February 2019, the D igital Monozukuri (Manufacturing) Educational Research Center was established with a regional university and regional industry revitalization grant applied by the Cabinet Office.
Projects at the Digital Monozukuri (Manufacturing) Educational Research Center
Material model base research
Professor Jiyouji Oshita
Promote through the model base research and development for new material that is environment- and people-friendly. Bring into social implementation through automobiles through industry-academia-government collaboration efforts. Research and development of innovative multifunctional composite materials is conducted using multiphysics simulation to unify the material foundation and material model.
Data-driven smart system
Professor Toru Yamashita
We aim to attain the basic knowledge and technology required to build both the following methods: new development platforms created by the interplay of the model base development (MBD) approach and the data-driven approach, and a data-driven smart system consisting of data-driven controls that can be combined organically with data analysis and machine learning. In addition, we are exploring the possibility of using this knowledge to create problem-solving technology.
● Project 03
Smart inspection and monitoring
Professor Idaku Ishii
Industry, academia, and government are making efforts to realize the smart inspection and monitoring that would make it possible to detect and diagnose anomalies in the manufacturing process and reflect on infrastructure maintenance and system implementation through high-speed image-processing technology that would allow for visualization of vibrational information undetectable to the eye.
Images of social implementation and collaboration with businesses
Many businesses have already expressed interest in participating.
For companies interested in the above project, please contact us from the link below.