Technology Reports of Kansai University

Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.

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Submission Deadline

Volume - 66 , Issue 01
20 Jan 2024

Upcoming Publication

Volume - 66 , Issue 01
31 Jan 2024

Aim and Scope

Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are in the following fields but not limited to:

Electrical Engineering and Telecommunication Section:

Electrical Engineering, Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, FACTS devices , Insulation systems , Power quality , High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.

Computer Science Section :

Software Engineering, Data Security , Computer Vision , Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics , Parallel and distributed processing , Artificial Intelligence , Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology , Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology Research Journal of Chemistry and Environment

Civil and architectural engineering :

Architectural Drawing, Architectural Style, Architectural Theory, Biomechanics, Building Materials, Coastal Engineering, Construction Engineering, Control Engineering, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Materials Engineering, Municipal Or Urban Engineering, Organic Architecture, Sociology of Architecture, Structural Engineering, Surveying, Transportation Engineering.

Mechanical and Materials Engineering :

kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.

Chemical Engineering :

Chemical engineering fundamentals, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Particulate systems, Rheology, Multifase flows, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.

Food Engineering :

Food science, Food engineering, Food microbiology, Food packaging, Food preservation, Food technology, Aseptic processing, Food fortification, Food rheology, Dietary supplement, Food safety, Food chemistry.

Physics Section:

Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics, High energy particle physics, Laser, Mechanical engineering, Medical physics, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Robotics, Soft matter and polymers.

Mathematics Section:

Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Industrial mathematics, Information theory, Integral transforms and integral equations, Lie algebras, Logic, Magnetohydrodynamics, Mathematical analysis.

Latest Articles of

Technology Reports of Kansai University

Journal ID : TRKU-19-07-2020-10907
Total View : 326

Title : Combined Geoelectrical and Statistical Approach in Subsurface Structural Mapping for Groundwater Prospect at Oke-Odo, Iwo, Southwestern Nigeria

Abstract :

This research is aimed at mapping the subsurface structures such as fracture, weathered basement and fresh basement for groundwater investigation at Oke-Odo, Iwo, Osun State, Nigeria using combined geoelectric and statistical approach. Six (6) vertical electrical resistivity sounding data are collected based on schlumberger electrode arrangement configuration and maximum current electrode spacing of AB/2 along 100m within the study area. The vertical electrical sounding (VES) results presented as resist graph revealed the range of values for all the VES stations respectively. The depth ranges from (0.9–37.5 m), thickness ranges from (0.9 – 35.1 m) and resistivity ranges from (27.3 – 3353.4 ohms). These results were later used to generate 2-D geoelectrical maps of the subsurface study area, which revealed that the fractured-weathered basement varied, leading to diversity in groundwater prospects. A descriptive statistic was computed for resistivity, thickness and depths values respectively from the resist graph. The normality of the data was examined using the Shapiro- Wilk’s test while test of homogeneity of variance was carried out using the Levene’s test. Resistivity between layers were compared using the ANOVA followed by Duncan’s test for Post Hoc comparison while thickness and depth between layers were compared using the independent t-test. The modeled geoelectric and statistical approach on the groundwater potential revealed that groundwater yield was recorded in areas with large concentrations of fracture and weathering with the bedrock

Full article
Journal ID : TRKU-19-07-2020-10906
Total View : 325

Title : Influence of cutting parameters on surface roughness of teeth when fine milling of spiral bevel gear

Abstract :

This paper presents experimental research to determine the influence of cutting parameters on surface roughness when fine milling of spiral bevel gear. Three parameters of the cutting parameters investigated in this study include cutting velocity, feed rate and depth of cut. The test material used in this study is 20XM steel. The cutting tool used in this study is a hard alloy coated with CVD Ti (C, N)-Al2O3-TiN. The testing process were carried out with 15 tests in the form of Box-Behnken planning. The results of analysis of testing data have determined that the cutting velocity is the parameter that has the most influence on the surface roughness of teeth, followed by the influence of the feed rate. The depth of cut has a negligible influence on the surface roughness of teeth. The interaction influence of the parameters on teeth surface roughness was also discussed in this study. This study has also proposed a surface roughness model - using this model to predict surface roughness and proposing development directions for further studies

Full article