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 next-generation computing, the role of cloud, internet, and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store and process big data in the cloud. The fogging acts as an interface between cloud and IoT. The IoT nodes are also known as fog nodes, these nodes are able to access anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing new blockchains based integrated framework in the architecture of the IoT is one of the emerging approaches to solving the issue of communication security among the IoT public nodes. This research explores a novel approach to integrate blockchain technology with the fog and IoT networks and provides communication security to the internet of smart devices. The framework is tested and implemented in the IoT network. The results are found positive
The first purpose of this study is to assess the influence of cutting mode parameters on surface roughness and tool wear. The second purpose of this study is to build a relationship between surface roughness and tool wear. The cutting parameters mentioned in this study include the cutting speed, the feed rate and the depth of cut. The experimental material used in this study is steel C45. The cutting tool used is the PVD-coated face milling cutter. Experiment with 15 experimental points according to the Box-Behnken type experiment plan when changing the value of the cutting parameters. Analysis of test results has determined the influence of cutting parameters and their interaction on surface roughness and tool wear. The relationship between surface roughness and cutting parameters, the relationship between tool wear and cutting parameters and the relationship between surface roughness and tool wear are also established in this study. These relationships are the basis for defining cutting parameters to ensure that the surface roughness meets the specific requirement, the tool wear is small, and are the basis for determining when to replace (re-sharpen) the tool according to the specific surface roughness requirements