社会インフラ・生活を支える革新的かつ高信頼なプロダクト群（鉄道車両、原子力プラント、産業機械、家電、検査装置、医用機器、電子顕微鏡など）の開発や、デジタルを活用したプロダクトの設計技術や信頼性評価技術に関する研究開発
デジタルエンジニアリング、設計工学、ナレッジマネジメント、構造強度信頼性、機械要素技術（歯車、軸受、回転体）、ダイナミクス（振動・耐震）、故障予測と健全性マネジメント
Publishing Academic Papers:
Tatsuya Hasebe, Erika Katayama, Katsumura Yoshiteru, "Deep CAD Shape Recognition for Carbon Footprint Estimation at the Design Stage", Procedia CIRP, Volume 122, 2024
Abstract: Estimating the carbon footprint of products at the early stage of design is crucial for streamlining the engineering process of sustainable products.However, the carbon footprint estimation of the products requires material and manufacturing information that is typically not available at the early design stage. In this study, a novel method is proposed for carbon footprint estimation, which can evaluate the carbon footprint through the shape recognition of computer aided design (CAD) models based on the graph deep learning. The learning model utilizes the boundary representation of CAD models for deeper understandings of the CAD model shape. The proposed method trains the deep learning model on the existing CAD models to recognize important sub-shapes and attributes, including materials and manufacturing information, such as welded parts, which are the essential data for the carbon footprint estimation. The proposed method enables the designers to estimate the carbon footprint without the laborious condition setting, which facilitates concurrent monitoring and improvement of the carbon footprint. The method is applied to actual assembly models and demonstrated that the material and welded parts, which are attributes required for emission prediction, can be recognized with an accuracy of more than 80%.
Takanori Aono, Masatoshi Kanamaru, Hiroshi Ikeda, "Fabricating Process of Thin-Strain Sensor by Utilizing Wafer-Level-Packaging Techniques", IEEJ Transactions on Sensors and Micromachines, Volume 144, 2024
Abstract: This research has developed a fabricating process of thin-strain sensor by utilizing wafer-level-packaging (WLP) techniques. The thickness of sensor makes thinner, its performance is able to highly increase. However, the thinner sensor was fragile, and so it was difficult to handle in post processes. Thus, a thin sensor with lid by utilizing WLP techniques, which is tough to break even when handled, is proposed in this research. More than 250-mm-deep grooves were fabricated around the lid by deep reactive ion etching. After the lid substrate was bonded on the sensor substrate with a resin, the sensor and lid substrates were respectively polished to 50 µm and 200 µm thickness. The lids were released along the grooves, and the 50-mm-thick strain sensors were able to be fabricated by utilizing WLP techniques. This sensor was used as a diaphragm to measure pressure. The sensors were assembled on a stainless steel housing without breakage. The performance of developed sensor was almost showed with a conventional pressure sensor.
Takeshi Inoue, Takahiko Sawada, Kohei Tanaka, Tetsusei Kurashiki, "Axial Force Measurement Using Digital Image Correlation", Transaction of the JSME, Volume 88, 2022
Abstract: As a simple and highly accurate axial force management method during manufacturing and maintenance of bolt-tightened structures, we examined a method to calculate the axial force from images of the bolt head. In this method, the axial force is calculated using the strain on the bolt head measured by digital image correlation (DIC) technique from images of the bolt head and the relationship between strain on the bolt head and axial force calculated by finite element analysis (FEA). We examined this method through two comparisons. The first was to compare the strain on the bolt head measured by the DIC method with the strain measured by strain gauges. The second was to compare the axial force calculated by this method with the axial force obtained from strain gauges on the bolt neck. The strain measured using the DIC method on M10 bolts had a mean absolute error of 15 μstrain compared to the strain measured by strain gauges. We confirmed that the DIC method can be used to measure the strain on the bolt head generated by bolt tightening with a high degree of accuracy. In all tightening tests in which M10 bolts were applied to axial forces of 16 kN, close to the proof load of 18 kN in strength category 4.8, the tightening coefficient was 1.11 based on the axial force calculated using this method. The coefficient of tightening was also 1.33 when considering geometric tolerances and variations in the coefficient of friction. We confirmed that the axial force management method based on the axial force calculation method using images of bolt heads can be used to manage axial forces with the same or higher accuracy than the conventional general torque management method with a tightening coefficient of 1.4 to 3.0.
The ISO Excellence Awards (2023),
2023年度 日本機械学会奨励賞（技術）「超小型試験片を用いた原子炉圧力容器破壊靭性評価手法の開発」
2022年度 日本機械学会賞（論文） 「多層ベローズ排気管の疲労寿命評価技術の開発」
2022年度 日本計算工学会技術賞 「設計段階で不良ポテンシャルを自動チェックする気づき支援CAD技術」
原子力プラントの信頼性向上に向けた溶接品質可視化技術と耐震解析技術
https://www.hitachihyoron.com/jp/archive/2020s/2024/01/17/index.html#sec05
3DCADデータを用いた製品環境負荷の予測技術
https://www.hitachihyoron.com/jp/archive/2020s/2024/01/18/index.html#sec13
事業のレジリエンス強化に貢献するIoT活用リスクマネジメントソリューション
https://www.hitachihyoron.com/jp/archive/2020s/2021/06/06a03/index.html?WT.mc_id=ksearch
