東北大学 · 材料科学
安藤大輔教授の研究室では、金属材料の新機能創出を目的として、メタマテリアル的特性を示す形状記憶合金や超弾性を示すマグネシウム合金の開発を進めています。特に、軽量で高強度なマグネシウム基板合金の形状記憶効果や水素発生特性の向上に注力しており、環境に配慮した水素供給源や次世代構造材料の実現を目指しています。また、AIを活用した合金設計手法の開発を通じて、高耐熱性アルミニウム合金の創出にも貢献しています。
Figures are computed from collected data and may differ slightly.
Shape-memory alloys (SMAs), which display shape recovery upon heating, as well as superelasticity, offer many technological advantages in various applications. Those distinctive behaviors have been observed in many polycrystalline alloy systems such as nickel titantium (TiNi)-, copper-, iron-, nickel-, cobalt-, and Ti-based alloys but not in lightweight alloys such as magnesium (Mg) and aluminum alloys. Here we present a Mg SMA showing superelasticity of 4.4% at -150°C and shape recovery upon he
The hydrogen generating characteristics of Mg–Ca alloys with Mg/Mg2Ca nanolamellar structures in the hydrolysis reaction with artificial seawater—a 3.5-wt% NaCl aqueous solution—were investigated for a new hydrogen supply source application. The concept of this study was to fabricate a complete hydrolysis reaction alloy using nanolamellar structure of Mg and Mg2Ca having an electrochemically less noble product than Mg. The hydrolysis reaction properties of Mg-10Ca, Mg-15Ca, Mg-16.2Ca, Mg-20Ca, a
In Mg alloys, twins have been known to be an important deformation mechanism. However, their roles on deformation mechanisms have not been well understood. In this work, we performed tensile test of rolled sheets of AZ31 Mg alloys at room temperature. A number of large surface reliefs were observed in a region near a fractured edge. TEM observation showed the formation of twins under the large surface relief. Crystallographic analysis indicated that the basal planes of the twins were tilted by a
The high-temperature strength of aluminum alloys must be enhanced for improving their applicability across industries. This study proposes a machine learning approach for developing heat-resistant aluminum alloys. Using a combination of correlation-based screening and genetic algorithms, feature selection was performed on descriptors derived from the atomic compositions of alloys. Then, alloy compositions and descriptors were used as input variables of the model to improve its robustness and app
In the absence of weight loss, twice-weekly exercise training does not change HMW adiponectin levels or the adiponectin oligomer composition.
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