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RISS 인기검색어
- 검색키워드
- 저자 : Kiran K. N. (검색결과 4 건)
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Computational investigation on secondary flows in a linear turbine cascade with tapered dual fence
Kiran K. N.,Sushanlal Babu,Anish S. 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.2
The focus of the present work is to minimize the secondary flow losses inside a linear turbine cascade by means of a novel design of streamwise dual fence. The leading edge and trailing edge of the fences have been modified so as to reduce the total pressure loss coefficient in the passage. The study has been carried out computationally based on RANS simulations with SST turbulence model. Numerous simulations have been undertaken with single fence and dual fence models and compared with the base case model. The dual fence model with tapered trailing edge exhibits significant loss reduction compared to the base case. A suitable fence height ratio (FHR) has been identified for the dual fence model. The FHR = 2 configuration reduces the secondary flow kinetic energy by 78 % within the blade passage and it reduces the exit angle deviation significantly throughout the span. Detailed flow field analysis has been carried out to understand the physical mechanism behind the loss reduction with dual fence models. It is observed that fence-1 breaks the pressure side leg of the horse shoe vortex at the beginning of their formation itself. The radial penetration of the suction side leg of the horse shoe vortex is restrained by fence-2. These combined effects prevent the formation and mixing of two prominent loss core regions thereby avoiding the accumulation of low energy fluid near the suction side of blade.
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A review of temporomandibular joint-related papers published between 2014-2015
Vaibhav Singh,K.N.V. Sudhakar,Kiran Kumar Mallela,Rajat Mohanty 대한구강악안면외과학회 2017 대한구강악안면외과학회지 Vol.43 No.6
We conducted a retrospective study and reviewed the temporomandibular joint (TMJ)-related papers published in a leading international journal, Journal of Oral and Maxillofacial Surgery , between January 2014 and December 2015. The study was conducted to ascertain and compare the trends of articles being published in the years 2014 and 2015. A total of 28 articles were reviewed, of which most of the full-length articles were on clinical management and outcomes and the role of radiology. The bulk of the studies were prospective, and less interest was shown in experimental research. A thorough review and analysis thus gives the impression that there is a great need for well-designed clinical studies on TMJ.
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Evaluation of Toxicity and Gene Expression Changes Triggered by Oxide Nanoparticles
Dua, Pooja,Chaudhari, Kiran N.,Lee, Chang-Han,Chaudhari, Nitin K.,Hong, Sun-Woo,Yu, Jong-Sung,Kim, So-Youn,Lee, Dong-Ki Korean Chemical Society 2011 Bulletin of the Korean Chemical Society Vol.32 No.6
Several studies have demonstrated that nanoparticles (NPs) have toxic effects on cultured cell lines, yet there are no clear data describing the overall molecular changes induced by NPs currently in use for human applications. In this study, the in vitro cytotoxicity of three oxide NPs of around 100 nm size, namely, mesoporous silica (MCM-41), iron oxide ($Fe_2O_3$-NPs), and zinc oxide (ZnO-NPs), was evaluated in the human embryonic kidney cell line HEK293. Cell viability assays demonstrated that 100 ${\mu}g/mL$ MCM-41, 100 ${\mu}g/mL$ $Fe_2O_3$, and 12.5 ${\mu}g/mL$ ZnO exhibited 20% reductions in HEK293 cell viability in 24 hrs. DNA microarray analysis was performed on cells treated with these oxide NPs and further validated by real time PCR to understand cytotoxic changes occurring at the molecular level. Microarray analysis of NP-treated cells identified a number of up- and down-regulated genes that were found to be associated with inflammation, stress, and the cell death and defense response. At both the cellular and molecular levels, the toxicity was observed in the following order: ZnO-NPs > $Fe_2O_3$-NPs > MCM-41. In conclusion, our study provides important information regarding the toxicity of these three commonly used oxide NPs, which should be useful in future biomedical applications of these nanoparticles.
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Jacobian Based Nonlinear Algorithms for Prediction of Optimized RF MEMS Switch Dimensions
Lakshmi Narayana Thalluri,M Aravind Kumar,Mohamed Sultan Mohamed Ali,N. Britto Martin Paul,K. Srinivasa Rao,Koushik Guha,S. S. Kiran 한국전기전자재료학회 2023 Transactions on Electrical and Electronic Material Vol.24 No.5
This communication discusses the role of nonlinear algorithms in training the neural network, which predicts the optimized RF MEMS switch dimensions. A dedicated dataset, i.e., DrTLN-RF-MEMS-SWITCH-DATASET-v1, was created by considering the most appropriate input and output variable suitable to predict the cantilever dimensions, crab leg and serpentine structure-based RF MEMS switches. The distinct artificial neural networks (ANN) performance is analysed using various training methods. The hardware implementation possible neural network algorithms, i.e., Fitting and Cascade Feed Forward Network, are considered for learning and prediction. The ANN algorithm's performance in predicting and optimizing RF MEMS switch is analysed using nonlinear training methods like Levenberg–Marquardt (LM) and Scaled Conjugate Gradient (SCG). The cascaded forward network with LM training combination offers the best performance compared with other varieties. A comprehensive study is performed using neural networks and finite element simulation results. The study revealed that the error percentage is below 15.08% for most of the parameters.
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