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RISS 인기검색어
- 검색키워드
- 저자 : Raj Kumar Sahu (검색결과 5 건)
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Estimation and validation of maxwell stress of planar dielectric elastomer actuators
Raj Kumar Sahu,Abhishek Saini,Dilshad Ahmad,Karali Patra,Jerzy Szpunar 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.1
In this paper, Maxwell stress of circular planar actuator at different applied voltages was estimated and then validated with the uniaxialcompression test of three different dielectric elastomers (VHB, silicone and natural rubber). Pelrine’s equation was revisited to estimateMaxwell stress which causes the actuation in the planar direction. More precise and accurate estimation of Maxwell stress could be madein this work by considering variation of dielectric constant with respect to frequency and pre-strain. Estimated Maxwell stress was validatedthrough (i) out-of-plane strain or thickness strain obtained from measured area strain considering constant volume deformation, and(ii) out-of-plane mechanical compressive test results. The estimated Maxwell stress agrees well with the corresponding experimentalcompressive stress values for different pre-straining cases considered in this work.
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Raj Kumar,Sonal Gupta,Sourabh Wajhal,S.K. Satpati,M.L. Sahu 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.5
Liquid fueled molten salt reactors (MSRs) have seen renewed interest because of their inherent safetyfeatures, higher thermal efficiency and potential for efficient thorium utilisation for power generation. Thorium fluoride is one of the salts used in liquid fueled MSRs employing TheU cycle. In the presentstudy, ThF4 was prepared by hydro-fluorination of ThO2 using anhydrous HF gas. Process parameters viz. bed depth, hydrofluorination time and hydrofluorination temperature, were optimized for the preparation of ThF4 in a static bed reactor setup. The products were characterized with X-Ray diffraction andexperimental conditions for complete conversion to ThF4 were established which also corroborated withthe yield values. Hydrofluorination of ThO2 at 450 C for half an hour at a bed depth of 6 mm gave thebest result, with a yield of about 99.36% ThF4. No unconverted oxide or any other impurity was observed. Rietveld refinement was performed on the XRD data of this ThF4, and Chi2 value of 3.54 indicated goodagreement between observed and calculated profiles.
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Manoj Kumar Sahu,Raj Kishore Patel 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.40 No.-
Cobalt doped neutralized red mud (Co/NRM) nanocomposite materials were prepared by impregnationmethod for the photodegradation of methylene blue dye under solar light irradiation. Different Co/NRMcatalysts were prepared by varying the weight ratio of Co and NRM and characterized by differentinstrumental techniques. Under solar light 97.21% degradation was observed in the presence of 0.08 g ofCo/NRM (Co:NRM::20:80) photocatalyst within 150 min for 20 mg/L methylene blue solution at pH9. These results underline the potential use of effective, low-cost and easily available photocatalysts forthe promotion of water splitting and environmental remediation under natural sunlight.
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Gupta, Sonal,Kumar, Raj,Satpati, Santosh K.,Sahu, Manharan L. Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.6
Uranium ingot is produced by metallothermic reduction of uranium tetrafluoride using magnesium or calcium as reductant. Presence of oxygen containing compounds viz. uranyl fluoride and uranium oxide in the starting uranium fluoride has a significant effect on the firing time, final temperature of the charge, slag-metal separation and hence the metal recovery. As reported in the literature, the maximum tolerable limit for uranyl fluoride in the UF<sub>4</sub> is 2.5 wt% and limit for uranium oxide content is in the range 2-3 wt%. No theoretical or experimental basis is available till date for these limits. Analyses have been carried out in this study to understand the effect of UO<sub>2</sub>F<sub>2</sub> concentration in the starting fluoride on the final temperature of the products and thus the reduction characteristics. UF<sub>4</sub> having uranyl fluoride concentration, less than as well as more than 2.5 wt%, have been investigated. Thermodynamic calculations have been carried out to arrive at a general expression for the final temperature attained by the products during calciothermic reduction of UF<sub>4</sub>. Finally, an upper limit for the oxygen containing impurities has been estimated using the CaO-CaF<sub>2</sub> phase diagram.
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EDNN based prediction of strength and durability properties of HPC using fibres & copper slag
Gupta, Mohit,Raj, Ritu,Sahu, Anil Kumar Techno-Press 2022 Advances in concrete construction Vol.14 No.3
For producing cement and concrete, the construction field has been encouraged by the usage of industrial soil waste (or) secondary materials since it decreases the utilization of natural resources. Simultaneously, for ensuring the quality, the analyses of the strength along with durability properties of that sort of cement and concrete are required. The prediction of strength along with other properties of High-Performance Concrete (HPC) by optimization and machine learning algorithms are focused by already available research methods. However, an error and accuracy issue are possessed. Therefore, the Enhanced Deep Neural Network (EDNN) based strength along with durability prediction of HPC was utilized by this research method. Initially, the data is gathered in the proposed work. Then, the data's pre-processing is done by the elimination of missing data along with normalization. Next, from the pre-processed data, the features are extracted. Hence, the data input to the EDNN algorithm which predicts the strength along with durability properties of the specific mixing input designs. Using the Switched Multi-Objective Jellyfish Optimization (SMOJO) algorithm, the weight value is initialized in the EDNN. The Gaussian radial function is utilized as the activation function. The proposed EDNN's performance is examined with the already available algorithms in the experimental analysis. Based on the RMSE, MAE, MAPE, and R<sup>2</sup> metrics, the performance of the proposed EDNN is compared to the existing DNN, CNN, ANN, and SVM methods. Further, according to the metrices, the proposed EDNN performs better. Moreover, the effectiveness of proposed EDNN is examined based on the accuracy, precision, recall, and F-Measure metrics. With the already-existing algorithms i.e., JO, GWO, PSO, and GA, the fitness for the proposed SMOJO algorithm is also examined. The proposed SMOJO algorithm achieves a higher fitness value than the already available algorithm.
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