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:
Waste cooking oil is one of the vegetable oils produced from the use of cooking oil continuously and is very dangerous if consumed again because it has exceeded the maximum level of quality of cooking oil, one way to utilize triglycerides contained in waste cooking oil is by transesterifying the waste cooking oil with methanol into biodiesel using heterogeneous catalysts. The purpose of this study was to determine the effect of adding the concentration of CaO/ZnO catalyst, mole ratio of waste cooking oil and methanol, and reaction time to the yield, and characteristics of biodiesel. The production of biodiesel was carried out by varying the concentration of CaO/ZnO catalysts by 0.5 %, 1 %, 1.5%, 2 %, and 2.5 % w/w oil, the mole ratio of oil with methanol 1 : 3, 1 : 6, 1 : 9, 1 : 12, and 1 : 15, reaction times of 2, 3, and 4 hours respectively. In this study, the best catalyst concentration was 1% w/w oil with the mole ratio of oil with methanol 1: 12, and reaction time of 4 hours with yield of 80.90 %, The results of the characteristics analysis of biodiesel obtained have met the SNI 7182: 2015 standard
This paper shows an optimization study on optimum determination of the cutting parameters and cutter helix angle when end milling of Al6061. In this study, the effects of the milling process parameters and tool geometry, including the cutting velocity, feed rate, radial depth of cut, and cutter helix angle. Moreover, in order to estimate the influences of these factors on the optimum cutting parameters and helix angle, a simulation experiment was designed and conducted by a computer program. A regression equation was proposed to calculate the optimum cutting speed, feed rate, radial depth of cut, and cutter helix angle.The Particle swarm optimization algorithm (PSO) was proposed to obtain the optimal parameters in consideration of the boundary conditions, which are determined from the empirical relationship of factors affecting the machining process