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 aims to investigate influence of design parameters on partial gear ratios of a coxial helical gearbox. In order to minimize the direct material cost of gearbox, a cost function has been derived with ten design parameters and subjected to partial gear ratio or the second-stage gear ratio (u2). Thus, the change of the second-stage gear ratio impacts on the minimal direct material cost of gearbox. Therefore, this study has been done to figure out the relation between the second-stage gear ratio and nine other independent design parameters. The central composite design method has been used for planning experimental simulations in which each parameter has three values at low, middle and high levels. Results show that almost design parameters and their interactions have strong influence on the response such as total ratio gearbox ratio (ug), price per kilogram of gear material (Cg.m), price per kilogram of shaft material (Cs.m,), allowable contact stress of stage 2 (AS2) and (Cg.m* Cs.m). The contributions of the coefficient of wheel face width of stage 1 (Xba1, Xba2) and their interactions with other factors on the response are negligible. In addition, a regression model of u2 has been developed with high confidence to be further applied in reality
The number of commercial vehicles in Malaysia are growing rapidly following the growth of logistic industry and the rapid urbanization in this country. This can cause a rise to the commercial vehicles market and the economy of Malaysia, but the statistics of road accident fatalities involving commercial vehicles is worrying to the road environment and all road users. The Binary Logistic Regression analysis is done to identify the factors that affect the severity of accident which are fatal or non-fatal, and develop a prediction model for future potential improvement. The result showed that Airbags, Vehicle Structure and Speeding are significant in affecting the accident severity of N1 category vehicles accident. This study also found that Airbags itself are negatively affect accident severity, while Speeding is the most contributing factor since the beta value is the highest compared to other variables