Analytical Method Applying a Mathematical Model for Axial‐Gap‐Switched Reluctance Motor

In this paper, an analytical method using a mathematical model for switched reluctance motors (SR motors) is proposed. The feature of this method is the representation of the effect of the mutual flux on the integral model by applying transient analysis utilizing preprocessed inductance tables. The advantage of this method is that the analysis time is reduced in comparison with the finite element method (FEM). The calculation results for the torque show little difference between the FEM and the proposed method, and the computation time was shortened. A 3.7‐kW prototype axial‐gap SR motor designed using the proposed method delivered the specified performance.     

DIFFERENT ARRANGEMENT OF ɛ-(γ-GLUTAMYL)LYSINE CROSS-LINKING IN ALASKA POLLOCK (THERAGRA CHALCOGRAMMA) SURIMI PROTEINS BY STREPTOVERTICILLIUM AND ENDOGENOUS TRANSGLUTAMINASES DURING SUWARI PROCESS

The objective of the present study is to compare the protein cross‐linking reaction in Alaska pollock surimi that is catalyzed by a commercially available microbial transglutaminase and by endogenous Alaska pollock transglutaminase. The endogenous transglutaminase was inhibited by EGTA and activated by CaCl₂ The microbial transglutaminase was added to the salted surimi with and without EGTA and CaCl₂. These surimi pastes were incubated at 25C up to 24 h followed by cooking at 90C. The resultant gels were fractionated into soluble and insoluble (aggregate) fractions by SDS‐urea extraction. Compositional analysis revealed that the aggregate consisted predominantly of cross‐linked myosin heavy chain. The distribution of ?‐(γ‐glutamyl)lysine isopeptide in the soluble and aggregate fractions andpeptide mapping analyses of the aggregate fraction demonstrate that the formation of isopeptide cross‐links in Alaska pollock surimi proteins during suwari process differs when catalyzed by the microbial transglutaminase and endogenous transglutaminase.     

Coupled Analysis by Viscoelastic Body with Rigid Body for Design of MRE Soft Actuator

The magneto rheological elastomer (MRE) is composed of silicone elastomers and ferromagnetic powders that are responsible for its ferromagnetic and viscoelastic properties. The shape and the stiffness of the MRE change depending on the magnetic field. Therefore, it is expected to be used for artificial muscle or damping material. We developed a coupled analysis method by combining the moving particle semi‐implicit/simulation (MPS) method with the finite element method (FEM) for the design of the MRE actuator. However, this method does not take into account a rigid body. Therefore, when analyzing the coil embedded in the MRE, it was difficult to calculate parameters such as the coil rotation and position. Therefore, this paper presents a numerical method for MRE actuator analysis by coupling MPS method with FEM to arrive at a calculation method for a rigid body. The numerical algorithm is described and the calculated results are shown.     

LITHIUM-ION SIEVE PROPERTY OF λ;-TYPE MANGANESE OXIDE

The adsorptive properties of A-Mn0₂for mono and divalent metal ions were investigated by pH titration and by measurements of the distribution coefficients(Kd's) of the metal ions. The pH titration curve showed an apparently monobasic acid type for a H⁺-Li⁺exchange. Those for H⁺-K⁺and H⁺-Cs⁺exchanges were nearly the same as that for blank titration. The lithium ion uptake increased with increasing solution pH and reached 5 meq/g at pH 11. X-ray diffraction analyses showed that the adsorption of lithium ions caused an increase in the lattice constant of a cubic unit cell. The potassium and cesium ion uptakes were nearly zero over a pH range between 4 and 11. A-Mn0₂showed a remarkably high Kd value for lithium ions, compared to a cation exchange resin. The selectivity sequences were Na⁺< K⁺< Rb⁺< Cs⁺<< Li⁺for alkali metal ions, Mg²⁺< Ca²⁺< Sr²⁺< Ba²⁺for alkaline earth metal ions, and Ni²⁺< Zn²⁺< Co²⁺< Cu²⁺for transition metal ions.     

A Count Model Analysis of Traded Contracts in the JEPX Forward Market

It is desirable that the number of forward contracts traded on the Japan Electric Power Exchange increase. However, few studies have clarified what factors have contributed to impacting the number of forward contracts traded. In this study, the authors analyzed the number of forward contracts using four count regression models. The negative binomial regression model and the zero‐inflated models were better able to express the expected counts, by incorporating the overdispersion and excess zeros present in the observed data. Among others, the spot market can carry positive influences on the expected counts, by about 12% for a 1 yen/kWh increase in price, and by about 27% for a 0.1%‐point increase in volumes. The zero‐inflated models revealed that as many as three‐fourth of the entire forward products have a high probability of zero counts, while the remaining one‐fourth may see an increased number of counts as the spot market price and/or the spot volume becomes higher.