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Ratcheting Fatigue Behaviour of Zircaloy‑2 at 300 °C
R. S. Rajpurohit,Prerna Mishra,N. C. Santhi Srinivas,S. R. Singh,V. Singh 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.9
In laboratory, materials designed for engineering applications, specifically for fatigue, are generally tested under symmetricalcyclic loading (stress ratio, R = −1), but many structural components exhibit less fatigue life than predicted from symmetricloading due to asymmetric cyclic loading during service. This study deals with fatigue behaviour of Zircaloy-2 and presentsthe effect of mean stress (σm), stress amplitude (σa), stress rate ( ̇ ) on fatigue life, deformation and fracture behaviour at300 °C under asymmetric cyclic loading. A series of fatigue tests are performed at 300 °C under asymmetric stress-controlledloading with different combinations of σm (60–80 MPa), σa (115–135 MPa) and ̇ (30–750 MPa/s). Deformation behaviourand microstructural changes under the influence of above parameters (σm, σa and ̇ ) are examined by transmission electronmicroscope. It is observed that plastic strain increases with rise in σm as well as σa and cyclic life is reduced; on the otherhand, with increase in ̇ accumulation of plastic strain decreases and fatigue life is enhanced. The results are correlated withmicrostructural changes and fracture behaviour of the material under different test conditions.
R. Santhi,T. E. Sheeja,K. S. Krishnamurthy 한국식물생명공학회 2016 Plant biotechnology reports Vol.10 No.4
microRNAs (miRNAs) are small non-coding RNAs that execute regulation of gene expression at the post-transcriptional level. Information on turmeric miRNAs is very rare. In the present study, we have identified 27 conserved and 40 non-conserved miRNA families by high-throughput Illumina sequencing and downstream in silico analysis. We could also identify 97 novel candidate miRNAs specific to turmeric. Selected miRNAs were validated by stem-loop RT-PCR and northern blotting. The targets were predicted for identified miRNAs and were found to be involved in plant growth and development, stress response and metabolism. Expression pattern of selected conserved miRNAs in response to drought stress was analyzed by stem-loop qRT-PCR. This is the first report on miRNA content of turmeric transcriptome, which might serve as a foundation for more future work on miRNA based gene regulation in this medicinally important spice crop.
Ratcheting Fatigue Behavior of Modified 9Cr–1Mo Steel at Room Temperature
Prerna Mishra,R. S. Rajpurohit,N. C. Santhi Srinivas,G. V. S. Sastry,Vakil Singh 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.12
Fusion reactor components undergo asymmetric cyclic loading,that leads to a progressive increase in plastic strain andcauses deterioration in life of engineering components. This investigation deals with fatigue behavior of modified 9Cr–1Mosteel at room temperature and presents the effect of mean stress (σm), stress amplitude (σa) and stress rate ( ̇ ) on fatigue life,deformation and fracture behavior under asymmetric cyclic loading. A series of fatigue tests were conducted under asymmetricstress-controlled loading with different combinations of σm (190–210 MPa), σa (400–420 MPa) and ̇ (50–450 MPa/s). The plastic strain increased with increase in σm and σa and the fatigue life was reduced, whereas increase in ̇ reduced theaccumulated plastic strain and the cyclic life was increased. The deformation behavior and microstructural changes under theinfluence of the three parameters (σm, σa and ̇ ) were examined by tranmission electron microscope (TEM). With increasein the three parameters (σm, σa, ̇ ), the lath martensitic structure changed to subgrain structure along with dislocation cellsand forest dislocations. Scanning electron microscopy revealed unique features of fractured specimens, with progressivereduction in diameter towards the fracture-end, fatigue striations on the tapered circumferential surface and dimples on thefracture surface.
Predicting the 2-dimensional airfoil by using machine learning methods
Thinakaran, K.,Rajasekar, R.,Santhi, K.,Nalini, M. Techno-Press 2020 Advances in computational design Vol.5 No.3
In this paper, we develop models to design the airfoil using Multilayer Feed-forward Artificial Neural Network (MFANN) and Support Vector Regression model (SVR). The aerodynamic coefficients corresponding to series of airfoil are stored in a database along with the airfoil coordinates. A neural network is created with aerodynamic coefficient as input to produce the airfoil coordinates as output. The performance of the models have been evaluated. The results show that the SVR model yields the lowest prediction error.