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      • Real Gas Effects of Supercritical CO₂ Flow through a Supersonic Nozzle Senthil kumar Raman and Heuy Dong Kim

        Senthil kumar Raman,Heuy Dong Kim 대한기계학회 2016 대한기계학회 춘추학술대회 Vol.2016 No.12

        The unique characteristics of supercritical carbon dioxide (SCO₂) are reason enough to find its use in various engineering applications. But still usability of SCO₂ is not completely explored due to lack of knowledge about its real gas effects. The present study mainly addresses the real gas effects on supercritical CO₂ flow through a supersonic convergent-divergent nozzle. With series of theoretical equations which are based on one-dimensional gas dynamics theory, computer program has been developed to predict the compressible flow characteristics of supercritical CO₂. With the data obtained from the computer program, properties of supercritical CO₂ near critical point is theoretically analyzed with different EOS. Computational analysis also has been carried out to reasonably predict the SCO₂ flows. The deviation in prediction of properties of SCO₂ by a EOS from other one is addressed. Several types of the equations of state were applied to the compressible Navier-Stokes equations. For effective use of available EOS, an attempt is made by coupling ideal gas EOS and real gas EOS to analyze the real gas effect of SCO₂. These results are compared with the computational results of SCO₂ flow through convergent divergent nozzle with a single real gas EOS. The obtained solutions were used to investigate the generic features of supercritical CO₂ flow, in terms of shock wave location, flow choking, total pressure loss, pressure recovery, etc.

      • KCI등재

        A Simple Method for Solving Type-2 and Type-4 Fuzzy Transportation Problems

        Senthil Kumar, P. Korean Institute of Intelligent Systems 2016 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.16 No.4

        In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer's over time work, unexpected failures in machine, seasonal changes and many more. To counter these problems, depending on the nature of the parameters, the TP is classified into two categories namely type-2 and type-4 fuzzy transportation problems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992) is used to transform the type-2 and type-4 FTPs into a crisp one so that the conventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.

      • KCI등재

        A Simple Method for Solving Type-2 and Type-4 Fuzzy Transportation Problems

        P. Senthil Kumar 한국지능시스템학회 2016 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.16 No.4

        In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer’s over time work, unexpected failures in machine, seasonal changes and many more. To counter these problems, depending on the nature of the parameters, the TP is classified into two categories namely type-2 and type-4 fuzzy transportation problems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992) is used to transform the type-2 and type-4 FTPs into a crisp one so that the conventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.

      • De novo assembly and transcriptome analysis of bulb onion (Allium cepa) during cold acclimation using contrasting genotypes

        Senthil Kumar Thamilarasan,Jeong Suk Hyeon Han,Jong-In Park,Ill-sup Nou 한국육종학회 2015 한국육종학회 심포지엄 Vol.2015 No.07

        Bulb onion (Allium cepa) is one of the second most widely cultivated and consumed vegetable crops in the world. During winter where the temperature can be as low, plant could get cold injury and limit the production of bulb onion. However, the genomic resources available for bulb onion are still very limited. To date, no studies about heritably durable cold and freezing tolerance were carried out in bulb onion genotypes using high-throughput sequencing technology was applied. We sequenced cold (2°C) freezing (-5 and -15°C) treated and control (25°C) samples of contrasting genotypes of A. cepa lines and obtained 4,52,194,370 total high quality reads. After de novo assembly reads were assembled into 54,047 genes finally generated with an average length of 1,331 bp. Based on the similarity search aligning all genes with known public non-redundant (NR) database, including Swiss-prot, KEGG and COG. Differentially expressed genes (DEGs) were investigated using FPKM method. Overall, 92,862 genes were differentially regulated in all libraries were identified. Additionally, increase our understanding of the DEGs, we performed GO and KEGG pathway enrichment analyses. Based on FDR<=0.01 value in cold freezing tolerant line candidate genes were selected and discussed. Finally 25 candidate genes were examined using qRT-PCR were differentially regulated and known to be associated with cold and freezing stresses. Moreover, in silico prediction of putative molecular marker 4,437 SSRs and 6,076 SNPs. Our study is the first to provide the transcriptome sequence resource of Allium spp., for cold and freezing stress. We identified large set of genes to determine its DEGs profile under cold and freezing condition using two different genotypes. These data provides a valuable resource of genetic and genomic studies of Allium spp.

      • Genome-wide identification of AP2/ERF transcription factors and profiling of CBFs genes in abiotic stresses in Brassica oleracea

        Senthil Kumar Thamilarasan,Jong-In Park,Hee-Jeong Jung,Ill-Sup Nou 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07

        sequence and more than fifty thousand proteins have been obtained to date. Transcription factors (TFs) are important regulators involved in plant development and physiological processes and the AP2/ERF protein family contains TFs that also plays a crucial role as well and response to biotic and abiotic stress conditions in plants. However, no detailed expression profile of AP2/ERF-like genes is available for B. oleracea. In the present study, 226 AP2/ERF TFs were identified from B. oleracea based on the available genome sequence. Based on sequence similarity, the AP2/ERF superfamily was classified into five groups (DREB, ERF, AP2, RAV and Soloist) and 15 subgroups. The identification, classification, phylogenetic construction, conserved motifs, chromosome distribution, functional annotation, expression patterns and interaction network were then predicted and analyzed. AP2/ERF TFs expression levels exhibited differences in response to varying abiotic stresses based on expressed sequence tags (ESTs). BoCBF1a, 1b, 2, 3 and 4, which were highly conserved in Arabidopsis and B. rapa CBF/DREB genes families were well characterized. Expression analysis enabled elucidation of the molecular and genetic level expression patterns of cold tolerance (CT) and susceptible lines (CS) of cabbage and indicated that all BoCBF genes responded to abiotic stresses. Comprehensive analysis of the physiological functions and biological roles of AP2/ERF superfamily genes and BoCBF family genes in B. oleracea is required to elucidate AP2/ERF, which will provide rich resources and opportunities to understand abiotic stress tolerance in crops.

      • SCIESCOPUSKCI등재

        Paper Machine Industrial Analysis on Moisture Control Using BF-PSO Algorithm and Real Time Implementation Setup through Embedded Controller

        Senthil Kumar, M.,Mahadevan, K. The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.2

        Proportional Integral Derivative (PID) controller tuning is an area of interest for researchers in many areas of science and engineering. This paper presents a new algorithm for PID controller tuning based on a combination of bacteria foraging and particle swarm optimization. BFO algorithm has recently emerged as a very powerful technique for real parameter optimization. To overcome delay in an optimization, combine the features of BFOA and PSO for tuning the PID controller. This new algorithm is proposed to combine both the algorithms to get better optimization values. The real time prototype model of paper machine is designed and controlled by using PIC microcontroller embedded with the programming in C language.

      • KCI등재

        Vibration control of small horizontal axis wind turbine blade with shape memory alloy

        Senthil Kumar Mouleeswaran,Yuvaraja Mani,P. Keerthivasan,Jagadeesh Veeraragu 국제구조공학회 2018 Smart Structures and Systems, An International Jou Vol.21 No.3

        Vibrational problems in the domestic Small Horizontal Axis Wind Turbines (SHAWT) are due to flap wise vibrations caused by varying wind velocities acting perpendicular to its blade surface. It has been reported that monitoring the structural health of the turbine blades requires special attention as they are key elements of a wind power generation, and account for 15-20% of the total turbine cost. If this vibration problem is taken care, the SHAWT can be made as commercial success. In this work, Shape Memory Alloy (SMA) wires made of Nitinol (Ni-Ti) alloys are embedded into the Glass Fibre Reinforced Polymer (GFRP) wind turbine blade in order to reduce the flapwise vibrations. Experimental study of Nitinol (Ni-Ti) wire characteristics has been done and relationship between different parameters like current, displacement, time and temperature has been established. When the wind turbine blades are subjected to varying wind velocity, flapwise vibration occurs which has to be controlled continuously, otherwise the blade will be damaged due to the resonance. Therefore, in order to control these flapwise vibrations actively, a non-linear current controller unit was developed and fabricated, which provides actuation force required for active vibration control in smart blade. Experimental analysis was performed on conventional GFRP and smart blade, depicted a 20% increase in natural frequency and 20% reduction in amplitude of vibration. With addition of active vibration control unit, the smart blade showed 61% reduction in amplitude of vibration.

      • KCI등재

        A new equation of state to predict S-CO 2 flow with real gas effects

        Senthil Kumar Raman,김희동 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.3

        The accuracy of the thermodynamic properties prediction from the different Equation of state (EOS) varies upon the range of temperature and pressure. Despite the variety of EOS available, there is no de facto for selecting an EOS for particular computational modeling. The EOS model recently developed by Kumar and Kim (K-K EOS) determines more accurately the thermodynamic properties of CO 2than earlier models. In this present study, K-K EOS is successfully implemented in the computational analysis of compressible supercritical CO 2 flow (S-CO 2 ) in the thermodynamic region near and away from the vapour-liquid critical point. Computational results of SCO 2 flow with the real gas properties predicted with the K-K EOS is compared with Span and Wagner (SW EOS) and ideal EOS.

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