Editors Ryuichi Egashira (Tokyo Institute of Technology) Jun Fukai (Kyushu University) Choji Fukuhara (Shizuoka University) Toshitaka Funazukuri (Chuo University) Takayuki Hirai (Osaka University) Jun-ichi Horiuchi (Kitami Institute of Technology) Eiji Iritani (Nagoya University) Yoshinori Itaya (Gifu University) Noriho Kamiya (Kyushu University) In-Beum Lee (Pohang University of Science and Technology (POSTEC)) Kouji Maeda (University of Hyogo) Hideyuki Matsumoto (Tokyo Institute of Technology) Nobuyoshi Nakagawa (Gunma University) Masaru Noda (Fukuoka University) Hiroyasu Ogino (Osaka Prefecture University) Mitsuhiro Ohta (The University of Tokushima) Eika W. Qian (Tokyo University of Agriculture and Technology) Yuji Sakai (Kogakuin University) Noriaki Sano (Kyoto University) Naomi Shibasaki-Kitakawa (Tohoku University) Ken-Ichiro Sotowa (The University of Tokushima) Hiroshi Suzuki (Kobe University) Nobuhide Takahashi (Shinshu University) Shigeki Takishima (Hiroshima University) Yoshifumi Tsuge (Kyushu University) Tomoya Tsuji (Nihon University) Da-Ming Wang (National Taiwan University) Takuji Yamamoto (University of Hyogo) Yoshiyuki Yamashita (Tokyo University of Agriculture and Technology) Miki Yoshimune (National Institute of Advanced Industrial Science and Technology (AIST))
Editorial office: The Society of Chemical Engineers, Japan Kyoritsu Building, 4-6-19, Kohinata, Bunkyo-ku Tokyo 112-0006, Japan firstname.lastname@example.org
AIMS AND SCOPE:
Journal of Chemical Engineering of Japan, an official publication of the Society of Chemical Engineers, Japan, is dedicated to providing timely original research results in the broad field of chemical engineering ranging from fundamental principles to practical applications. Subject areas of this journal are listed below. Research works presented in the journal are considered to have significant and lasting value in chemical engineering.
Physical Properties and Physical Chemistry Transport Phenomena and Fluid Engineering Particle Engineering Separation Engineering Thermal Engineering Chemical Reaction Engineering Process Systems Engineering and Safety Biochemical Food and Medical Engineering Micro and Nano Systems Materials Engineering and Interfacial Phenomena Energy Environment Engineering Education
This study investigates the transport of dye ions across a supported liquid membrane (SLM) by using tridodecylamine as a carrier and sodium hydroxide (NaOH) as a stripping agent. A microporous polypropylene membrane was used as a membrane support and prepared by the thermal induced phase separation (TIPS) technique. Two different TIPS techniques were used when preparing membranes: solidification and without solidification with polymer concentrations varied at 10, 15 and 20%. The results revealed that both techniques produced membranes with similar morphologies, but different pore size structures. The membrane with 15% polymer concentration which was prepared by the solidification technique produced a microporous membrane with a symmetric structure, defined pore size and high stability, and thus is feasible as the support material. The fabricated membrane was tested and the results revealed that 100% of reactive dyes was succesfully removed with 58% recovery from an aqueous solution. The fabricated membrane also exhibited high stability up to 25.5 h of extraction, thereby demonstrating an improved method for the separation of reactive dyes using a SLM.
The layer thickness of a zeolitic imidazolate framework-8 (ZIF-8) membrane was successfully reduced in order to obtain high permeance of propylene. The ZIF-8 membranes for propylene/propane separation were prepared using a counter-diffusion method by changing the solution concentration and the molar ratio of 2-methylimidazole to zinc ion (Hmim/Zn2+). ZIF-8 layers with different thicknesses were formed in the outermost regions of porous α-alumina capillary substrates, and the minimum thickness of the ZIF-8 layer was 5 µm. Single-component gas permeation properties were measured using propylene and propane at a temperature of 298 K, and the permeability, diffusivity, and solubility were analyzed. The maximum propylene/propane permselectivity of 135, diffusivity selectivity of 125, and solubility selectivity of 1.1 were obtained at a Hmim/Zn2+ ratio of 1 with a propylene permeance of 1.1×10−9 mol·m−2·s−1·Pa−1. By contrast, a propylene/propane permselectivity of 113 with a propylene permeance of 3.3×10−9 mol·m−2·s−1·Pa−1 was obtained at a Hmim/Zn2+ ratio of 0.33. The thickness of the ZIF-8 layer, the permselectivity of propylene/propane, and the permeance of propylene were controlled by regulating the concentration and the Hmim/Zn2+ ratio for the synthesis of the ZIF-8 membrane by the counter-diffusion method.
The desorption of SO2 from sodium phosphate buffer solution was investigated using a laboratory-scale rotating packed bed (RPB). The effects of operating parameters such as the high-gravity factor (β) of the RPB, gas–liquid ratio (G/L), sodium phosphate concentration (CL), preheating temperature (t), and pH of SO2-rich solutions on the desorption efficiency (θ) of SO2 were investigated. The experimental results showed that all factors except CL have significant effects on θ, and θ decreases with increasing rich solution pH and CL, but increases with increasing β, G/L, and t. Under the optimal conditions of β=60–80, pH≤5, G/L≈800 m3/m3, CL<2 mol/L, and t≈90°C, θ can exceed 90%. The obtained results imply great potential for RPB use in SO2-loaded solution desorption.
An alternative method for the estimation of the chemical reaction rate without the use of traditional kinetic model equations is investigated in this study. The proposed method based on artificial neural network (ANN) is an efficient and accurate means to predict the chemical reaction rate because of the complex and unknown reaction kinetics of the p-xylene (PX) oxidation process. A mechanism model of PX oxidation is also integrated in the proposed neural network reaction rate model to predict the concentrations of target materials in the chemical process. The results show that the neural network model can accurately predict the chemical reaction rate of PX oxidation and that the proposed process hybrid model exhibits better performance than the pure mechanism and pure ANN models.
In our previous study, the photo decolorization of methylene blue (MB) was investigated using a UV-LED-irradiated glass microreactor without photocatalyst. The main part of the microreactor was a semi-elliptic microchannel with the width, depth and length of 100 µm, 40 µm and 50 cm, respectively. In this study, as an extension of the previous work, we investigated the decolorization behavior of MB in the same type of reactor, on the inner wall of which a photocatalyst (TiO2) is immobilized. It was found that the decolorization was much increased by the presence of the photocatalytic layer, while decolorization slightly occurred in its absence, and even without UV irradiation. At neutral and high pH conditions, the process required an extremely long time to reach the adsorption equilibrium of MB, probably due to the increased affinity between MB and catalyst surface. An increase in feed flow rate caused fluctuating adsorption behavior after long operation, most likely due to the high shear stress in the microchannel. It was thus suggested that the performance of photocatalytic microreactors should be evaluated by taking into account the long time necessary for achieving adsorption equilibrium if the model pollutant is MB.