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:
In the area of Pasuruan, East Java, Indonesia, earthquakes often occur in the vicinity (land and sea) with a magnitude of about 4 Mw, which causes the local Pasuruan fault. Despite their relatively small magnitude, earthquakes generated along faults can pose significant hazards to densely populated areas and infrastructure. Therefore, it is very necessary to study the level of geological disaster vulnerability in the area using geophysical gravity and microseismic methods to determine the geological structure and characteristics or local site resilience of the area. From the results of measurement and data analysis using the gravity method through the gravity tensor, it shows that the Pasuruan area is included in the anticline area and there are also shallow faults that are closely related to the folding process. Meanwhile, from the microtremor method, it was found that the value of the natural frequency (𝑓𝑜) ranged from 1 Hz to 10 Hz and the amplification factor (𝐴𝑜) ranged from 2 to 8, while the vulnerability index (𝐾𝑔) in the western part of the Pasuruan fault had a higher value (20 to 36) than in the East (1 to 12). Thus, the weak zone which is very at risk at the time of the earthquake is in the western part of the Pasuruan fault
Electrical Discharge Machining (EDM) is a non-conventional cutting operation for based of materials removal to the core fact which conceder insignificant force of tool is created through the process of machining. Also, EDM used in produce hard materials that have electrical conductivity. In EDM process, the pivotal topical parameters are Material Removal Rate (MRR), Surface Roughness (Ra) and Micro Hardness (HV). The traditional try and error way to define the influence the parameters of machining on the objective parameters is time consuming as well as high cost. The aim of this work is to evolve a mathematical model using multiple regression to describe the effecting of three machining parameters (pulse on time, pulse off time and current) on the objective parameters. 27 samples were run by using computer numerical control based EDM machine which used for machining steel 304 with a dielectric solution of gas oil by using DC current values. Three predicted models have been developed using multiple regression methods show a reliable accuracy to be used in this kind of cutting process. The result of this work is helpful to be performed in the industry to decrease the time and cost in MRR, Ra & HV prediction
