Announcement of publication of the November 2023 issue of Journal of Society of Automotive Engineers of Japan
Publication information
<Special feature> The latest CAE methodology in the DX era.
In the automobile industry, CAE is increasingly contributing to various demands such as shorter development times, cost reductions, production efficiency, higher functionality, and improved safety.
Nowadays, there is a need to promote DX (digital transformation). Therefore, in this special issue, we do not focus on the use of CAE in specific automotive functions and areas such as engines and safety technology, but rather focus on the use of machine learning, MBD, data assimilation, and cloud/edge computing. We covered a wide range of areas such as "Engineers" and featured the latest CAE cases.
We hope that you will enjoy this special issue as a CAE a la carte that introduces the latest case studies from various industries. Please take a look.
The Journal of Society of Automotive Engineers of Japan is published in electronic format. Please read it on your PC, tablet, or smartphone.
<Contents>
●Overall outlook
- Creation of new automotive CAE through fusion with data science
- Aiming to realize a cutting-edge development community for a mobility society through "SURIAWASE2.0"
- Utilization of 1DCAE in electric vehicle development
●Machine learning
- Can machine learning contribute to true understanding and discovery?
- Development of recommended speed driver model driven by near-miss experience data
●MBD (Model Based Development)
- The secret to successfully introducing MBD/MBSE - the state of development and current situation
- Establishment of a Model Based Testing method for heavy vehicle RDE evaluation ─Establishment of a method for reproducing the actual road driving environment─
●Data assimilation
- Prospects for application in different fields from guerrilla heavy rain prediction using “big data assimilation”
- Attempt to assimilate data to reproduce the movements of people in urban areas ─ Reproducing the rapid spread of working from home during the coronavirus pandemic ─
●Cloud/edge computing
- Introduction of ICT basic technology for connected cars and technology for reproducing road traffic flow on digital twin
<Hot Topics - A collection of trending topics>
- Analysis of combustion pressure vibration generation factors in gasoline engines
- Application and examples of high-speed imaging for the fusion of real and virtual
- Receiver cycle of heat pump system
- Social acceptability of mobility services using new technology
- Detecting “something is different” with AI and predicting “what will change in the future” with AI - “AlliomWave”, an AI development platform for waveform data
- Development of a surrogate model to predict vehicle aerodynamic performance using machine learning
<Serial article>
[Technology window]
Cars as a component of society
Mr. Norimasa Iida (Keio University)
[Super world]
Predicting starting materials for organic compounds from scratch using automatic reaction route search method ─Predicting high-yield chemical reactions using quantum chemical retrosynthesis analysis─
Mr. Tsuyoshi Mita and Mr. Osamu Maeda (Hokkaido University Reaction Creation Research Center)
【Spotlight】
Materials that can generate and store hydrogen at low temperatures - no need for precious metal catalysts
Yusuke Sunada (Institute of Industrial Science, University of Tokyo/Kanagawa Prefectural Institute of Industrial Science and Technology)
[Standardization activity report]
Standardization trends regarding EMC for automobiles and automobile electronic components
Mr. Akihiko Nojima (Toyota Motors)
[Formula SAE Japan's days and now]
I love being good at things
Masashi Nakayama (Dome)
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