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.
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:
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
The rapid development of information communication and technology (ICT) affects both urban and rural communities. Information obtained because of accessing the internet can encourage people to work outside of the village. Migration of people from the village will lead to reduced rural development and agricultural land management services. This study aims to determine the effect of the Internet of Things in terms of usage of the intentions of young people migrating abroad. Data analysis methods used are descriptive statistics and Structural Equation Model (SEM) – Partial Leas Square (PLS). Analysis results show that there is a link between internet infrastructure and international migration intentions for young people. Based on the results of the SEM-PLS test using the Warp-PLS application, it is known that the IoT influence variable consisting of variables A (INFRA), B (USE) and C (CONTENT). It is mean that IoT has an impact on the youth migration intention abroad in rural areas with an R-Squared influence value of 0.47 percent
