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Ashok Kumar Kariganaur,Hemantha Kumar,M. Arun 한국유변학회 2022 Korea-Australia rheology journal Vol.34 No.3
Magnetorheological (MR) fuid properties are essential in analyzing the performance of any MR fuid system. The fuid properties are dependent on shape, size, and magnetic saturation of the magnetic particles. Preliminary characteristics with SEM, particle size analysis (PSA), and vibration sample magnetometer (VSM) on carbonyl iron particles were performed to verify the particle’s feasibility to synthesize the MR fuid in a laboratory. Synthesis and characterization of MR fuids with particle concentrations (PC) of 10% (PC10), 15% (PC15), 20% (PC20), 30% (PC30), and 35% (PC35) by volume are carried out. To show the inherent nonlinearity of the MR fuid, Herschel–Bulkley model is used. The relationship between sedimentation velocity, yield stress, and thermal conductivity is established as a function of particle concentration with experimental uncertainty of 6.15, 5, and 8.96%, respectively. Functional testing of PC15 and PC30 was carried out on an MR damper fabricated on dimensions obtained from the literature for the required size. The results indicate that damping force is 42% more in PC30 than PC15 at higher loading parameters. Finally, the saturation magnetization of the MR fuid depends not only on applied current but also on loading parameters when operating in the system.
Addanki, Udaya Kumar,Kumar, B. Hemantha International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.4
A Mobile Ad-hoc Network (MANET) is a collection of moving nodes that communicate and collaborate without relying on a pre-existing infrastructure. In this type of network, nodes can freely move in any direction. Routing in this sort of network has always been problematic because of the mobility of nodes. Most existing protocols use simple routing algorithms and criteria, while another important criterion is path selection. The existing protocols should be optimized to resolve these deficiencies. 'Particle Swarm Optimization (PSO)' is an influenced method as it resembles the social behavior of a flock of birds. Genetic algorithms (GA) are search algorithms that use natural selection and genetic principles. This paper applies these optimization models to the OLSR routing protocol and compares their performances across different metrics and varying node sizes. The experimental analysis shows that the Genetic Algorithm is better compared to PSO. The comparison was carried out with the help of the simulation tool NS2, NAM (Network Animator), and xgraph, which was used to create the graphs from the trace files.