NIMS Award Symposium 2023|Abstracts
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Small Ball Rebound Hardness Tester and Progress for Japanese Industrial Standards (JIS) K. Miyahara 1 1 Research Center for Structural Materials, National Institute for Materials Science (NIMS) A small ball rebound hardness tester hits a specimen with a small (3 mm) alumina ball at 10 m/s. The velocity ratio before and after impact is called coefficient of restitution, often shown as e, and is a measure of specimen’s hardness. Since the mass of the ball is only 0.056 g, the tester can be applied to small and lightweight specimens as well as large and heavy specimens. The tester has been commercially available since 2017 through the collaborative efforts of several companies and NIMS. It can test hardness instantly and stably of various materials such as metals, foods, ceramics, rubbers, and woods, etc., some of which, ice lolly or dried bonito for example, are not suitable for conventional hardness testers. Due to its uniqueness and usefulness, work is currently in progress for Japanese Industrial Standards (JIS). In this poster presentation, several examples of interesting specimens, a model of elastic-plastic deformation and comparison with experimental results, and current progress on making a new JIS will be reviewed. Advancement of W H. Kitano 1 1 Research Center for Structural Materials, National Institute for Materials Science (NIMS) Arc welding technology melts and unites weld metal and base metal by arc plasma, and is widely used as an inexpensive and fast joining method. However, arc welding technology has the problem that the temperature history during welding changes the material and mechanical state of the weld metal, possibly damaging structural properties. To solve the above problem, AI (Artificial Intelligence) and machine learning technologies are being developed to de-skill and improve the reliability of weld design and construction. In this presentation, research on the development of a modeling method for predicting weld zone characteristics, a method for extracting microstructures from 3D metallographic images, and a method for determining heat input models for welding analysis will be presented. elding Technology through the Use of AI Technology Poster Presentation |NIMS Award Symposium 2023 P3 | EvaluationPP33--1155 PP33--1166 65

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