2017～2019年度 関西大学研究拠点形成支援経費研究成果報告書

目次・研究成果の概要・2-1　工藤 宏人・宮前 翼・上田 正人・村山 憲弘・林 順一 "ノーリア骨格をテンプレートとした空孔内に水酸基を有する架橋化合物の合成とそれらの金属イオン包接性能" ネットワークポリマー論文集 vol.41, No.2, 65 - 71 (2020).・2-2　Mitsuaki Matsuoka, Kaho Yokoyama, Kohei Okura, Norihiro Murayama, Masato Ueda, Makio Naito " Synthesis of Geopolymers from Mechanically Activated Coal Fly Ash and Improvement of Their Mechanical Properties" Minerals 9, 791- 801 (2019).・2-3　Daisuke Shimoyama, Ryo Sekiya, Hiroto Kudo, Takeharu Haino, "Feet-to-Feet Connected Trisresorcinarenes" Organic Letters 22, 352 - 356 (2019).・2-4　Masato Ueda, Masahiko Ikeda, Shigeo Mori, Kenji Doi, Hisashi Kitagaki, Shuntaro Terauchi "Mechanical Properties of Additively Manufactured Porous Titanium with Sub-Millimetre Structural Units" Materials Transactions Vol.60, No.9, 1792 - 1798 (2019).・2-5　五十井 浩平・白杉 文香・松岡 光昭・林 順一・村山 憲弘 "種々のMg-Fe系複合酸化物を用いた希薄水溶液中のホウ素およびヒ素の除去" 環境資源工学 66, 29 - 35 (2019).・2-6　Toru Maruyama, Mitsuyoshi Tamaki, Keisuke Nakamura, Gou Nakamura "EFFECT OF MOLTEN METAL TEMPERATURE ON MOLD FILLING IN EVAPORATIVE PATTERN CASTING" International Journal of Metalcasting 13, 611–617 (2019).・2-7　Ryuta Saito, Toru Maruyama, Toshiki Nakamura, Hitoshi Yanagitani, Takahiro Sakai, Kouji Nakamoto "Influence of Tellurium Addition to Spheroidal Graphite Cast Iron on the Number of Graphite Particles" International Journal of Metalcasting Vol.13, 3, 571-577 (2018).・2-8　Masato Ueda, Rika Yamaguchi, Chika Fujita, Masahiko Ikeda "Control of Cell Adhesion on Titanium Dioxide by Light Irradiation" Materials Science Forum Vol.941, 2507 - 2512 (2018).・2-9　Hiroto Kudo, Mari Fukunaga, Kohei Shiotsuki, Hiroya Takeda, Hiroki Yamamoto, Takahiro Kozawa, Takeo Watanabe "Synthesis of hyperbranched polyacetals containing C-(4-t-butylbenz)calix[4]resorcinarene: Resist properties for extreme ultraviolet (EUV) lithography" Reactive and Functional Polymers 131, 361 - 367 (2018).・2-10　大隈 修・前 一廣・林 順一 "直接液化による豪州ビクトリア褐炭の高度利用 : 改新BCLプロセスによる化学原料の生産" Journal of the Japan Institute of Energy 98, 17 - 26 (2019).・2-11　Issei Suzuki, Ayako Kakinuma, Masato Ueda, Takahisa Omata "Flux growth of β-NaGaO₂ single crystals" Journal of Crystal Growth 504, 26 -30 (2018).・2-12　上田 正人、坂本 貴則、池田 勝彦 "電気抵抗率の精密測定による純チタンの組織評価" 環境資源工学 65, 74 -76 (2018).・2-13　Satoshi Imasaka, Hiroyasu Ishii, Jun\u27ichi Hayashi, Sadao Araki, Hideki Yamamoto "Synthesis of CHA-type titanosilicate zeolites using titanium oxide as Ti source and evaluation of their physicochemical properties" Microporous and Mesoporous Materials 273, 243-248 (2019).・2-14　Hiroto Kudo, Shizuya Ohori, Hiroya Takeda, Hiroki Ogawa, Takeo Watanbe, Hiroki Yamamoto, Takahiro Kozawa "Synthesis and Property of Tannic Acid Derivatives and Their Application for Extreme Ultraviolet Laser Lithography System" Journal of Photopolymer Science and Technology Vol.31, 221 - 225 (2018).・2-15　Hiroto Kudo, Tsubasa Miyamae, Kouta Kitagawa, Kohei Isoi, Norihiro Murayama, Jun\u27ichi Hayashi " Synthesis and Metal-Complexation Ability of Cross-Linking Materials Containing Noria-Templated Cavities with Pendant Carboxylic Acid Groups" Chemistry Select 3, 2223 - 2228 (2018).・2-16　上田 正人、池田 勝彦、土井 研児、 森 重雄、北垣 壽、寺内 俊太郎、関 あずさ "骨部分置換用ポーラスチタン : ポリグリコール酸 : 炭酸カルシウム複合体の開発" 高分子論文集 Vol.75, No.1, 69 - 74 (2018).・2-17　Alexandru C Sonoc, Jacob Jeswiet, Norihiro Murayama, Junji Shibata "A study of the application of Donnan dialysis to the recycling of lithium ion batteries" Hydrometallurgy 175, 133 - 143 (2018).2-3は、著作権の関係により非公開としております。2-8は、著作権の関係により非公開としております。2-9は、著作権の関係により非公開としております。2-10は、著作権の関係により非公開としております。2-11は、著作権の関係により非公開としております。2-16は、著作権の関係により非公開としております

Numerical simulation of flow around a train passing through a tornado

A tornado is one of the most powerful weather phenomena. It has high wind velocity and often brings serious damages to our lives. It also might has power to overturn trains. Actually at least three train overturn accidents in Japan were probably caused by tornadoes. Although numerous studies have been conducted to clarify the nature of tornado and its effects on civil engineering structures, only a few studies have been examined the effects of the tornado on moving vehicles [1]. Thus we investigated the flow around a train passing through a tornado by a numerical simulation. The compressible Reynolds Averaged Navier-Stokes equations are solved with the k-ξ-f turbulence model [2] using a commercial finite volume solver, AVL FIRE. A boundary condition was defined based on a set-up of our previous experiment [1]. The maximum tangential velocity and the core radius of the tornado were set at 8 m/s and 100 mm, respectively. The swirl ratio was set at 0.8. A 1/40 scale vehicle was set to travel through the tornado at a speed of 4 m/s. The Reynolds number based on the maximum tangential velocity and the train width is 3.8x104. A deforming and sliding mesh method [3] was employed to achieve a scenario that the train runs through the tornado. First, in order to check the numerical accuracy, the velocity and the pressure profiles of the tornado itself were compared with those of the experimental data and the analytical model of the tornado - the Rankin vortex model. The results showed good agreements. And then, time histories of the side and lift forces acting on the train were compared with the experimental data. The computational results agreed well with the experimental results. The side force acting on the train changed its direction from negative to positive while passing through the tornado. Finally, the flow field around the train in the tornado were analysed. The analysis showed that the flow field changed moment by moment depending on the position of the train in the tornado and the resulted air forces acting on the vehicle varied

LARGE EDDY SIMULATION OF A TORNADO FLOW AROUND A TRAIN

A tornado is defined as a destructive rotating column ofair extending from a cloud to the ground. Tornadoes cancause derailment or overturning of trains. At least three train-turnover accidents in Japan are suspected to have beencaused by tornadoes or crosswinds. Some experiments and simulations about effects of a crosswind have been studied [1].However there are almost no studies about the aerodynamic forces acting on a train by a tornado. Therefore, the large eddy simulation (LES) and the experiments were conducted to investigate how a tornado flow acts on a train and the results were compared

Synthesis of Geopolymers from Mechanically Activated Coal Fly Ash and Improvement of Their Mechanical Properties

Coal fly ash is a spherical fine powder by-product discharged from coal-fired power plants. When coal fly ash is used as raw materials for the synthesis of geopolymers, there are practical problems associated with the stable surface of the particles that do not allow the production of geopolymers with sufficient strength. A long-time is also required for the curing. In this study, we aim to promote the curing reaction of geopolymers by activating the surface of coal fly ash particles. By mechanically activating the surface of coal fly ash particles using an attrition-type mill, the dissolution of Si4+ and Al3+ in coal fly ash is promoted, and the acceleration of the reaction taking place during curing is also anticipated. The surface morphology and crystal phase of coal fly ash particles change with the use of an attrition-type mill. The mechanical activation results in improvement of the compressive strength and the acid resistance under milder curing conditions by the densification of the hardened body. Thus, it is clearly shown that mechanical activation is effective for the production of geopolymers with beneficial mechanical properties under milder curing conditions

Simulating the flow around a train passing through a tornado

A flow simulation was developed to understand the flow surrounding a train that was passing through a tornado and the resulting aerodynamic forces acting on the vehicle. Unsteady Reynolds averaged Navier-Stokes equations were solved to reproduce a previously-conducted laboratory experiment, in which a model train runs through a stationary tornado-like swirling flow. The simulation reproduced the unsteady aerodynamic forces acting on the train reported in the experiment. Furthermore, the computation successfully revealed how the flow field changes as a train passes through a tornado-like swirling flow