In the CASE perspective of the automotive industry, the development of electrification and automated driving technologies has been actively promoted in recent years to harmonize with society as a whole beyond the boundaries of the automotive industry, such as CN support and public road tests of unmanned automated driving.
However, the market demand and supply have not matched the diffusion and safety performance requirements of countries and regions, and automakers are beginning to rethink their CASE strategies.
As we enter an era in which CASE technologies are seeking ways to lead to optimal solutions that are mutually satisfactory for the environment, users, and the automotive industry, the future of the automotive industry, including new SDV trends, will be the focus of much attention.

In the area of AI technology and its effects on die-casting machines, the die-casting industry in recent years has been actively working to improve productivity and product quality by efficiently processing and analyzing large amounts of data.
We are developing technologies that take advantage of the strengths of AI (Artificial Intelligence), which can analyze the relevance of large amounts of data and make instantaneous judgments. This presentation will introduce the efforts and effects of utilizing AI technology in die casting machines.

At ICOSPA 2024 Osaka, under the theme of “Sustainable Manufacturing: Harmonization of Master Craftsmanship and Innovative Technology,” representatives from six countries discussed their respective problems and issues and made significant achievements, including leaving a promise to continue to cooperate with each other as the “Osaka Declaration.
In this issue, we would like to explore the scenario of how to solve the problems facing Japanese manufacturing and how to create a bright future, now that a quarter of a century has passed since the beginning of the 21st century. We would like to explore the scenario.

In the 1990s, Japanese automobile manufacturers began to shift from 2D drawings to 3D data in their mold making.
However, each automaker has its own way of proceeding with this transition, with a mixture of 3D and 2D data, and each company designs its data differently in terms of processing attributes (color, dimensional tolerances) and manufacturing specifications.
As a result, die makers and die component processors who receive requests for machining are overwhelmed with inquiries to confirm specifications and to respond to machining errors caused by misconceptions, which in turn puts pressure on quality and delivery times that they should be working on.
The Automotive Die Making Efficiency Promotion Council is currently discussing the commonization of data and manufacturing rules, and discussions are underway to further improve the efficiency of press die making in Japan in the future.