Future search algorithm for optimal integration of distributed generation and electric vehicle fleets in radial distribution networks considering techno-environmental aspects
Distributed generation; Electric distribution networks; Electric vehicle fleet; Greenhouse gas emission minimization; Loss minimization; Voltage stability enhancement
In this paper, a new nature-inspire meta-heuristic algorithm called future search algorithm (FSA) is proposed for the first time to solve the simultaneous optimal allocation of distribution generation (DG) and electric vehicle (EV) fleets considering techno-environmental aspects in the operation and control of radial distribution networks (RDN). By imitating the human behavior in getting fruitful life, the FSA starts arbitrary search, discovers neighborhood best people in different nations and looks at worldwide best individuals to arrive at an ideal solution. A techno-environmental multi-objective function is formulated using real power loss, voltage stability index. The active and reactive power compensation limits and different operational constraints of RDN are considered while minimizing the proposed objective function. Post optimization, the impact of DGs on conventional energy sources is analyzed by evaluating their greenhouse gas emission. The effectiveness of the proposed methodology is presented using different case studies on Indian practical 106-bus agriculture feeder for DGs and 36-bus rural residential feeder for simultaneous allocation of DGs and EV fleets. Also, the superiority of FSA in terms of global optima, convergence characteristics is compared with various other recent heuristic algorithms. 2021, The Author(s).
Janamala V.; Kamal Kumar U.; Pandraju T.K.S.
https://doi.org/10.1007/s42452-021-04466-y https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102691069&doi=10.1007%2fs42452-021-04466-y&partnerID=40&md5=6c0b1dfa27b59b51f9aa542b7a9ad17f
Janamala V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed To Be University), Bangalore, 560 074, Karnataka, India; Kamal Kumar U., Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupati, 517 102, Andhra Pradesh, India; Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, 521 139, Andhra Pradesh, India
An empirical analysis of sustainability of public debt among BRICS nations
The main objective of this paper is to verify the sustainability of public debt among Brazil, Russia, India, China and South Africa (BRICS) in a political economy framework. Annual panel data have been used for BRICS countries from World Development Indicators of World Bank for the period 19802017 for the analysis. Bohn's sustainability framework is used to examine the sustainability of public debt in BRICS nations and verify the influence of political economic variables such as election year, coalition dummy, ideology of the government and unemployment on public debt sustainability. The results suggest that public debt sustainability is weak for BRICS as a whole. China and India have a better public debt sustainability coefficients compared to the same for Brazil, Russia and South Africa. Structural change dummy included in the model suggests that debt sustainability is severely affected after the 2008 crisis period. Political factors have influence on debt sustainability in BRICS. Electoral cycle year and coalition dummy variables adversely affect public debt sustainability in BRICS. While centrist political ideology is found to be significant and negative, left and right ideologies are not significant for debt sustainability. Since debt sustainability is found to be weak in BRICS, countries in the region need to adopt necessary measures to improve their primary balance through appropriate fiscal and debt management. Besides, it is important for the governments to prioritize fiscal prudence irrespective of their ideologies and political compulsions. 2020 John Wiley & Sons, Ltd
Journal of Public Affairs, Vol-21, No. 2
https://doi.org/10.1002/pa.2170 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085571782&doi=10.1002%2fpa.2170&partnerID=40&md5=64677c98c49e9f28c453994acc5d41f5
Joy J., Department of Economics, CHRIST(Deemed to be University), Bengaluru, India; Panda P.K., Department of Economics, Central University of Tamil Nadu, Thiruvarur, India
Green Synthesis of Reduced Graphene Nanostructure from Cinnamomum Camphora
carbon nanoparticle; chemical oxidation; Cinnamomum camphora; green synthesis
A facile green synthesis for carbon nanoparticle production using Cinnamomum camphora (Camphor) is presented. Camphor upon carbonization and chemical oxidation leads to the formation of nano-carbon structures with lateral size 7.33nm to 4.14nm, respectively. The nanomaterial's stacking height is about 2.76nm and 3.10nm, leading to the formation of about 10 layers of carbon. The AFM analysis confirms that the graphene layer formed is wrinkled or folded. Developments of a layered structure with spheroids are observed on the sample's surface, confirming the graphitization of the amorphous carbon. The relative intensity of the defect to the graphite band is found to be 0.98 for the nanostructure indicating a lesser degree of defects. The C1s band of the nanostructure is deconvoluted to components at 284.7, 286.5, 287.3, and 289 eV, which are assigned to non-oxygenated ring carbon (sp2 carbon), C in C-O (bound to O either as epoxy or hydroxyl), C in C=O (of alcohols, phenols or ether), and C in C(O)O (carboxylic acid) respectively. The study reveals the formation of few-layer oxygenated carbon layers from the botanical hydrocarbon. 2020 by the authors.
Venkatesan R.A.; Joseph N.; Balachandran M.
Letters in Applied NanoBioScience, Vol-10, No. 1, pp. 2003-2011.
https://doi.org/10.33263/LIANBS101.20032011 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117728695&doi=10.33263%2fLIANBS101.20032011&partnerID=40&md5=9d1c6cfd96bdd5d028cd7cb1e583eea6
Venkatesan R.A., Department of Physics & Electronics, CHRIST (Deemed to be University), Bangalore, India; Joseph N., Department of Physics & Electronics, CHRIST (Deemed to be University), Bangalore, India; Balachandran M., Department of Physics & Electronics, CHRIST (Deemed to be University), Bangalore, India
Characterization of Line-Cut Signed Graphs
Lict signed graph; Line signed graph; Signed graph
A signed graphS= (Su, ?) consists of an underlying graph Su and a function ?: E(Su) ? { + , - }. For a graph G, its lict graph written as Lc(G) is the intersection graph ?(E(G) ? C(G)). For a signed graph S, its line-cutsigned graph (in short called lict signed graph) is denoted by Lc(S) has underlying graph Lc(Su) and two vertices u and v joint by negative edge if u and v both are negative adjacent edges of S or u is a negative edge incident to a cut-vertex v of negative degree odd in S and by positive edge otherwise, here C(S) is the set of cut-vertices of S. In this paper, we establish structural characterization of lict signed graphs Lc(S). 2020, The National Academy of Sciences, India.
National Academy Science Letters, Vol-44, No. 2, pp. 147-150.
Jain R., Department of Mathematics, Government College Patharia, Patharia, Dist. Damoh, 470666, M.P., India; Acharya M., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Kansal S., Department of Applied Mathematics, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi, 110 042, India
Moderating effects of academic involvement in web-based learning management system success: A multigroup analysis
Higher education; IS success model; Moderation analysis; Structural equation modelling; Student involvement; Web-based learning management system
While several educational institutions in India, in accordance to global practices, have adopted Web-Based Learning Management Systems (WLMS) to supplement classroom courses, it is largely seen that these WLMSs fail in their objectives, leading to little or no return on investments. The study aims to define the factors that affect students acceptance of a web-based learning management system and test the moderating effect of their academic involvement in the success of a WLMS. 477 valid questionnaires were collected from university/college students to empirically test the research model using the structural equation modelling approach. The results concludes that indirect and direct effects account for 49% of the variation in the intention to use, which is explained by technical system quality, information quality, educational quality, service quality of the technical support team and user satisfaction. High academic involvement moderates the impact of different service qualities of the WLMS on user satisfaction, intention to use the system, and success of the WLMS. Based on the findings, theoretical and managerial implications are discussed. 2021
Mehrolia S.; Alagarsamy S.; Indhu Sabari M.
https://doi.org/10.1016/j.heliyon.2021.e07000 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105337755&doi=10.1016%2fj.heliyon.2021.e07000&partnerID=40&md5=d52168235ae58bb062caa6cbfdcaa8a4
Mehrolia S., School of Business and Management, Christ University, Bangalore, India; Alagarsamy S., School of Business and Management, Christ University, Bangalore, India; Indhu Sabari M., School of Business and Management, Christ University, Bangalore, India
A study of quadratic thermal radiation and quadratic convection on viscoelastic material flow with two different heat source modulations
Exponential space-based heat source; Heat transfer; Nonlinear Boussinesq approximation; Rosseland quadratic thermal radiation; Transpiration cooling; Viscoelastic fluid
In many practical applications such as plastic manufacturing and the polymer industries, the temperature difference is substantially large as a result the density of the working fluid alters nonlinearly with temperature. Therefore, the nonlinear Boussinesq (NBA) approximation cannot be ignored, as it has a considerable impact on the flow and heat transport characteristics of the working fluid. Here, the non-Newtonian viscoelastic material flow driven by stretching of elastic sheet subjected to NBA and quadratic form of Rosseland thermal radiation is investigated. Two different heat source modulations, viz., exponential space-dependent heat source, and a temperature-related heat source are analyzed. The viscoelastic material obeys the quadratic Boussinesq approximation. The fluctuation of plate temperature is linear and the transpiration (plate mass suction) is also accounted. The Darcy law is employed for a porous medium. The dimensionless profiles of the velocity, heat transport rate, and temperature are simulated by solving the nonlinear two-point boundary value system by employing the finite difference-based routine. The significance of key parameters involved in the problem is studied on various flow fields via surface and streamline plots. It is found that the quadratic convection mechanism enhanced the Nusselt number; however, the quadratic thermal radiation aspect reduced the Nusselt number. The higher velocities are captured in the case of quadratic thermal convection as compared with its absence. Whereas this trend is quite opposite for the thermal field. The velocity of viscoelastic material positively correlated with the viscoelastic material parameter. Further, the outcome of this investigation helps in determining the key parameters which facilitate the desired heat transport rate. 2021 Elsevier Ltd
Al-Kouz W.; Mahanthesh B.; Alqarni M.S.; Thriveni K.
International Communications in Heat and Mass Transfer, Vol-126
https://doi.org/10.1016/j.icheatmasstransfer.2021.105364 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107055495&doi=10.1016%2fj.icheatmasstransfer.2021.105364&partnerID=40&md5=6b023bab6c78ed58dc0cf7090f2047fa
Al-Kouz W., Department of Mechanical and Maintenance Engineering, German Jordanian University, Amman, 11180, Jordan; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Alqarni M.S., Department of Mathematics, College of Sciences, King Khalid University, Abha, 61413, Saudi Arabia, Mathematical Modelling and Applied Computation Research Group (MMAC), Department of Mathematics, King Abdulaziz University, P. O. Box 80203, Jeddah, 21589, Saudi Arabia; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India
Micro and nano Bi2O3 filled epoxy composites: Thermal, mechanical and ?-ray attenuation properties
Bismuth oxide; Epoxy; Micro/nano composites; ?-Ray attenuation studies
Polymer composites have attracted considerable attention as potential light-weight and cost-effective materials for radiation shielding and protection. In view of this, the present work focusses on development of lead-free composites of diglycidyl ether of bisphenol A (DGEBA) epoxy resin with micro (~ 10 ?m) and nano (~ 20 nm) bismuth (III) oxide (Bi2O3) fillers, using solution casting technique. Thermal, mechanical and ?-ray attenuation properties of the composites were studied by varying the filler loading. Inclusion of the fillers into epoxy matrix was confirmed both structurally and morphologically by XRD and SEM, respectively. Thermogravimetric analysis (TGA) showed the thermal stability of composites to be as high as 400 C. The nanocomposites exhibited relatively higher thermal stability than their micro counterparts. Among the composites, 14 wt% nano-Bi2O3/epoxy composites showed highest tensile strength of 326 MPa, which is about 38% higher than 30 wt% micro Bi2O3/epoxy composites. Mass attenuation coefficients (?/?) of the composites were evaluated at ?-ray energies ranging from 0.356 to 1.332 MeV. Nanocomposites showed better ?-ray shielding at all energies (0.356, 0.511, 0.662, 1.173, 1.280 and 1.332 MeV) than micro composites with same filler loading. These studies revealed the significance of nano-sized fillers in enhancing overall performance of the composites. 2021 Elsevier Ltd
Muthamma M.V.; Prabhu S.; Bubbly S.G.; Gudennavar S.B.
ISSN: 9698043; PubMed ID: 34052516; CODEN: ARISE
https://doi.org/10.1016/j.apradiso.2021.109780 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106617988&doi=10.1016%2fj.apradiso.2021.109780&partnerID=40&md5=2448f262d8a061bbf5b5527db394a553
Muthamma M.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Prabhu S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Bubbly S.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India
TenzinNet for handwritten Tibetan numeral recognition
Character recognition; Convolutional neural network (CNN); Handwritten digit recognition; Handwritten Tibetan numeral; Machine learning
Tibet is known for its enumerable collection of Nalanda based Buddhism manuscripts that need to be digitized for immortalization of the teachings of Buddha and various Buddhist scholars. Handwritten Tibetan numeral recognition is relatively unexplored as compared to Roman and Chinese numerals. Recognition of handwritten documents for digitalization has been under study from past many years. This work proposes a novel model using convolutional neural networks architecture named as TenzinNet to recognize handwritten Tibetan numerals. TenzinNet achieved an accuracy of 90.76% in recognizing Tibetan numerals using the proposed model. 2021, Bharati Vidyapeeth's Institute of Computer Applications and Management.
International Journal of Information Technology (Singapore), Vol-13, No. 4, pp. 1679-1682.
Springer Science and Business Media B.V.
Kaldan T., Christ University, Bengaluru, India; Vijayalakshmi A., Christ University, Bengaluru, India
Anti-vibrio effects of the precious Tibetan pill, Rinchen Drangjor Rilnag Chenmo (RDRC)
Antibacterial activity; Antifungal effect; Minimum bactericidal concentration (MBC); Minimum inhibitory concentration; Rinchen Drangjor Rilnag Chenmo
Tibetan precious pills are an integral part of TTM (Traditional Tibetan Medicine). Among them, Rinchen Drangjor Rilnag Chenmo (RDRC) has been named King of Precious Pills due to its efficacy in treating a multitude of human disorders. RDRC has a complex formulation with about 140 ingredients, mostly from medicinal plants and a few precious stones and metals. Not many studies have been done on the experimental validation of antimicrobial properties of this important pill. The current study investigated the antimicrobial activity of the extracts of RDRC. Both aqueous and chloroform extracts were evaluated for their antibacterial potential against a total of seven different bacterial species, which are pathogenic, including three species of Vibrio, viz. V. vulnificus, V. parahaemolyticus and V. harveyi using the well-diffusion method and also by assessing MIC and MBC values. Its antifungal potential was also studied against two fungal strains Aspergillus Niger and Talaromyces islandicus. It was found that the chloroform extract of RDRC exerted a positive antibacterial effect on all the Vibrio species tested, and the least MIC of 3.33 mg/ml was observed for V. parahaemolyticus. This is the first study of its kind on the anti-Vibrio effect of the Tibetan precious pill, Rinchen Drangjor Rilnag Chenmo. Dhargyal et al (2021). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/).
Dhargyal S.; Philip I.; Biswas S.; Sarojini S.
Plant Science Today, Vol-8, No. 3, pp. 681-687.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.14719/PST.2021.8.3.1225 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111312211&doi=10.14719%2fPST.2021.8.3.1225&partnerID=40&md5=da92dadc294c01c7de3d7d6445840c2f
Dhargyal S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore 29, India; Philip I., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore 29, India; Biswas S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore 29, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore 29, India
Efficient lipophilicity prediction of molecules employing deep-learning models
Convolutional neural network; Deep learning; Drug design; Lipophilicity; Long-short term memory; Multi-layer perceptron
Lipophilicity, expressed as logP, is a significant physiochemical property and is an indicator of absorption, distribution, metabolism and elimination characteristics of drugs used in medication. It is one of the major deciding factors of the fate of a molecule to be a successful drug. Mol2vec is a convenient and unsupervised machine learning technique which produces high-dimensional vector representations of molecules and its molecular substructures. The work described here aims to simplify prediction of logP values with high-degree of accuracy by using Deep Learning (DL) models paired with Mol2vec. The work described in this paper empirically demonstrates that by using the described DL models paired with Mol2vec, one can achieve results which are much better than the conventional ML techniques as well as more complex and recent algorithms like Message-passing Neural Networks (MPNN), Graph Convolution (GC) and Spatial Graph embedding (C-SGEN). Our RMSE (Root Mean Square Error) scores from the ensemble model is one of the best reported so far in literature. The methods elaborated in this paper are simple, yet effective in predicting logP values to a great degree of accuracy due to the use of Mol2vec and standard TensorFlow operators. The models employed here can be coded and maintained with much more ease compared to the techniques of MPNN, C-SGEN or GC. 2021 Elsevier B.V.
Chemometrics and Intelligent Laboratory Systems, Vol-213
https://doi.org/10.1016/j.chemolab.2021.104309 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104961606&doi=10.1016%2fj.chemolab.2021.104309&partnerID=40&md5=f4c3a6a54a3a7c8a1d49ff40cdab3da5
Datta R., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Das D., Intel, Bengaluru, 560103, India; Das S., Sprinklr India Pvt Ltd, Yemalur, Bengaluru, 560037, India
Multi-objective ANT lion optimization algorithm based mutant test case selection for regression testing
Genetic algorithm; Matlab; Mutant test case; Regression testing; Software testing
The regression testing is principally carried out on modified parts of the programs. The quality of programs is the only concern of regression testing in the case of produced software. Main challenges to select mutant test cases are related to the affected classes. In software regression testing, the identification of optimal mutant test case is another challenge. In this research work, an evolutionary approach multi objective ant-lion optimization (MOALO) is proposed to identify optimal mutant test cases. The selection of mutant test cases is processed as multi objective enhancement problem and these will solve through MOALO algorithm. Optimal identification of mutant test cases is carried out by using the above algorithm which also enhances the regression testing efficiency. The proposed MOALO methods are implemented and tested using the Mat Lab software platform. On considering the populace size of 100, at that point the fitness estimation of the proposed framework, NSGA, MPSO, and GA are 3, 2.4, 1, and 0.3 respectively. The benefits and efficiencies of proposed methods are compared with random testing and existing works utilizing NSGA-II, MPSO, genetic algorithms in considerations of test effort, mutation score, fitness value, and time of execution. It is found that the execution times of MOALO, NSGA, MPSO, and GA are 2.8, 5, 6.5, and 7.8 respectively. Finally, it is observed that MOALO has higher fitness estimation with least execution time which indicates that MOALO methods provide better results in regression testing. 2021 Scientific Publishers. All rights reserved.
Tripathi A.; Srivastava S.; Mittal H.; Sinha S.; Yadav V.
Journal of Scientific and Industrial Research, Vol-80, No. 7, pp. 582-592.
National Institute of Science Communication and Information Resources
Tripathi A., VIT Bhopal University, Madhya Pradesh, India; Srivastava S., Christ University, India; Mittal H., Raj Kumar Goel Institute of Technology, Uttar Pradesh, Ghaziabad, India; Sinha S., JSS Academy of Technical Education, Uttar Pradesh, Noida, India; Yadav V., ABES Engineering College, Uttar Pradesh, Ghaziabad, India
The Role of Board Independence and Ownership Structure in Improving the Efficacy of Corporate Financial Distress Prediction Model: Evidence from India
bankruptcy; board independence; financial distress; IBC; logistic regression; ownership structure
The study aimed to investigate the role of non-financial measures in predicting corporate financial distress in the Indian industrial sector. The proportion of independent directors on the board and the proportion of the promoters share in the ownership structure of the business were the non-financial measures that were analysed, along with ten financial measures. For this, sample data consisted of 82 companies that had filed for bankruptcy under the Insolvency and Bankruptcy Code (IBC). An equal number of matching financially sound companies also constituted the sample. Therefore, the total sample size was 164 companies. Data for five years immediately preceding the bankruptcy filing was collected for the sample companies. The data of 120 companies evenly drawn from the two groups of companies were used for developing the model and the remaining data were used for validating the developed model. Two binary logistic regression models were developed, M1 and M2, where M1 was formulated with both financial and non-financial variables, and M2 only had financial variables as predictors. The diagnostic ability of the model was tested with the aid of the receiver operating curve (ROC), area under the curve (AUC), sensitivity, specificity and annual accuracy. The results of the study show that inclusion of the two non-financial variables improved the efficacy of the financial distress prediction model. This study made a unique attempt to provide empirical evidence on the role played by non-financial variables in improving the efficiency of corporate distress prediction models. 2021 by the authors.
Journal of Risk and Financial Management, Vol-14, No. 7
Multidisciplinary Digital Publishing Institute (MDPI)
https://doi.org/10.3390/jrfm14070333 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117178065&doi=10.3390%2fjrfm14070333&partnerID=40&md5=b440c0effa171876a2284922905705cb
Shetty S.H., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Vincent T.N., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, 560029, India
Spectral quasi-linearization and irreversibility analysis of magnetized cross fluid flow through a microchannel with two different heat sources and Newton boundary conditions
Fluid flow in a microchannel with heat transport effects can be seen in various applications such as micro heat collectors, mechanicalelectromechanical systems, electronic device cooling, micro-air vehicles, and micro-heat exchanger systems. However, little is known about the consequence of internal heat source modulations on the flow of fluids in a microchannel. Therefore, in this work, the heat transfer of a magnetized cross fluid is carried out in a micro-channel subjected to two different heat source modulations. Entropy production analysis is also performed. The mathematical model consists of a cross fluid model. In addition, the effects of Joule heating, external magnetism, and the boundary conditions of Newton's heating are also examined. Determinant equations are constructed under steady-state conditions and parameterized using dimensionless variables. The numerical spectral quasi-linearization (SQLM) method was developed to interpret the Bejan number, entropy production, temperature, and velocity profiles. It is established that the power-law index of the cross fluid reduces the magnitude of the entropy production, velocity, and thermal field in the entire microchannel region. Furthermore, a larger Weissenberg number is capable of producing greater entropy, velocity, and thermal fields throughout the microchannel region. The variation in temperature distribution is more noticeable for the ESHS aspect than the THS aspect. The values of the pressure gradient parameter and the Eckert number must be kept high for maximum heat transport of the cross fluid. The entropy production of the cross fluid increases significantly with the physical aspects of Joule heating and convection heating in the system. 2021, The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
Al-Kouz W.; Reddy C.S.; Alqarni M.S.; Mahanthesh B.
European Physical Journal Plus, Vol-136, No. 6
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1140/epjp/s13360-021-01625-3 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107593006&doi=10.1140%2fepjp%2fs13360-021-01625-3&partnerID=40&md5=36d2b4bf5177ab49bd2e5dfff71d15ee
Al-Kouz W., Department of Mechanical and Maintenance Engineering, German Jordanian University, Amman, 11180, Jordan; Reddy C.S., Department of Mathematics, Government City College, Nayapul, Hyderabad, 500002, India; Alqarni M.S., Department of Mathematics, College of Sciences, King Khalid University, Abha, 61413, Saudi Arabia, Mathematical Modelling and Applied Computation Research Group (MMAC), Department of Mathematics, King Abdulaziz University, P. O. Box 80203, Jeddah, 21589, Saudi Arabia; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India
Individual effects of sinusoidal and non-sinusoidal gravity modulation on Rayleigh-Bard convection in a ferromagnetic liquid and in a nanoliquid with couple stress
The effects of sinusoidal (sine wave) and non-sinusoidal (square wave, triangular wave, and sawtooth wave) forms of gravity modulation on Rayleigh-Bard Convection (RBC) in a ferromagnetic liquid and a nanoliquid with couple stress is examined using linear and non-linear stability analyses. From the linear analysis, the stability of the system is investigated by calculating the correction Rayleigh number using the Venezian method. The heat transfer coefficient is obtained by solving the non-autonomous Lorenz equation. The influence of various non-dimensional parameters on the onset of convection and heat transfer is analyzed. It is observed that the couple stress parameter stabilizes the system and decreases the heat transfer. It is found that the square type of gravity modulation facilitates more heat transport compared to other types of gravity modulation. The ferromagnetic parameters are shown to have their known influence on the onset of convection and heat transport. The results of the single-phase ferromagnetic nanoliquid with couple stress are extracted from the results of the ferromagnetic liquid with couple stress. Advancement of onset due to nanoparticle presence and thereby enhanced heat transfer is discussed. The higher concentration of alumina is shown to be preferable to the rather expensive copper nanoparticles in obtaining the same quantity of heat transfer. 2021, The Author(s), under exclusive licence to EDP Sciences, SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
Meghana J.; Pranesh S.; Siddheshwar P.G.
European Physical Journal: Special Topics, Vol-230, No. 5, pp. 1415-1425.
https://doi.org/10.1140/epjs/s11734-021-00036-w https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105524188&doi=10.1140%2fepjs%2fs11734-021-00036-w&partnerID=40&md5=b90162b905b4de0bda6d128517123fb3
Meghana J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India
Electron beam mediated synthesis of photoluminescent organosilicon nanoparticles in TX-100 micellar medium and their prospective applications
Cell-imaging; Electron-beam; Micelles; Nanoparticles; Photoluminescence; Silicon
The inherent advantages of Silicon have made it as one of the most sought-after elements in the field of nanoscience and nanotechnology. Herein, we report an electron-beam induced formation of blue light emitting organosilicon nanoparticles (OSiNPs) in the micellar medium of Triton X-100 (TX-100). The profound role of the micellar medium can be realized from the enhanced colloidal stability as well as photoluminescence (PL) quantum efficiency (from ~9% to ~55%) of as synthesized OSiNPs. Mechanistic investigations revealed the crucial role of hydroxyl radical ([rad]OH) in the formation of OSiNPs. XPS and FTIR studies indicated the presence of siloxane/silicone and silica (SiO2) like units as the major constituents in the NPs. XRD pattern showed the amorphous nature of the NPs, while TEM studies revealed their aggregation. The hydrodynamic size of the NPs was determined to be ~24 nm. Interestingly, the NPs exhibited an excitation-wavelength-dependent PL behaviour, thereby indicating the presence of multiple emission centres (ECs). Detailed investigations based on steady-state as well as time-resolved PL measurements were conducted to analyse these ECs. In addition, pH and temperature-dependent studies were carried out to further substantiate these findings. Moreover, the experimental observations revealed their potential applications in the areas of thermosensing, fingerprinting and cell-imaging. Notably, the internalization of as prepared NPs within cells was evident from the bright fluorescence images obtained from the cytoplasmic region as compared to control cells. This observation also suggests the prospective application of these NPs for image guided drug delivery systems. 2021 Elsevier B.V.
Guleria A.; Tomy A.; Baby C.M.; Gandhi V.V.; Kunwar A.; Debnath A.K.; Adhikari S.
https://doi.org/10.1016/j.molliq.2021.116072 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104485162&doi=10.1016%2fj.molliq.2021.116072&partnerID=40&md5=cb2dee34d57b194ad1a4a717f842f75b
Guleria A., Radiation & Photochemistry Division, Bhabha Atomic Research Centre, Mumbai, 400085, India; Tomy A., Christ University, Bengaluru, 560029, India; Baby C.M., Christ University, Bengaluru, 560029, India; Gandhi V.V., Radiation & Photochemistry Division, Bhabha Atomic Research Centre, Mumbai, 400085, India, Homi Bhabha National Institute, Trombay, 400094, Mumbai, India; Kunwar A., Radiation & Photochemistry Division, Bhabha Atomic Research Centre, Mumbai, 400085, India; Debnath A.K., Technical Physics Division, Bhabha Atomic Research Centre, Mumbai, 400085, India; Adhikari S., Radiation & Photochemistry Division, Bhabha Atomic Research Centre, Mumbai, 400085, India
Dynamic optimal network reconfiguration under photovoltaic generation and electric vehicle fleet load variability using self-adaptive butterfly optimization algorithm
butterfly optimization algorithm; dynamic reconfiguration; electric vehicle fleet; electrical distribution network; power loss; renewable energy
Currently, electrical distribution networks (EDNs) have used modern technologies to operate and serve many types of consumers such as renewable energy, energy storage systems, electric vehicles, and demand response programs. Due to the variability and unpredictability of these technologies, all these technologies have brought various challenges to the operation and control of EDNs. In this case, in order to operate effectively, it is inevitable that effective power redistribution is required in the entire network. In this paper, a multi-objective based dynamic optimal network reconfiguration (DONR) problem is formulated using power loss and voltage deviation index considering the hourly variation of load, photovoltaic (PV) power, and electric vehicle (EV) fleet load in the network. This paper introduces recently introduced meta-heuristic butterfly optimization algorithm (BOA) and it's improve variant of self-adaptive method (SABOA) for solving the DONR problem. The simulation study of IEEE 33-bus EDN under different conditions has proved the effectiveness of DONR, and its adoptability for real-time applications. In addition, by comparing different performance indicators (such as mean, standard deviation, variance, and average calculation time) of 50 independently run simulations, the efficiency of SABOA can be evaluated compared with other heuristic methods (HMs). Comparative studies show that SABOA is better than PSO, TLBO, CSA and FPA in the frequent occurrence of global optimal values. 2021 Walter de Gruyter GmbH, Berlin/Boston 2021.
International Journal of Emerging Electric Power Systems, Vol-22, No. 4, pp. 423-437.
https://doi.org/10.1515/ijeeps-2021-0009 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107230791&doi=10.1515%2fijeeps-2021-0009&partnerID=40&md5=3b3a492733af519b75a5c6a5eb7b4399
Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Andhra Pradesh, Vijayawada, 521 139, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560 074, India
Studies on Parametric Optimization of HVOF-Sprayed Cr2O3 Coatings on Al6061 Alloy
Adhesion; Chromium oxide coating; Microhardness; Porosity; Taguchi method
High-velocity oxy-fuel (HVOF) is a widely used thermal spray technique to obtain high density, high bond strength, and improved hardness coatings. In the present work, optimization of HVOF process parameters was carried out using the Taguchi method to minimize porosity and improve microhardness, and bond strength of Cr2O3 coatings. Based on the signal-to-noise ratio and analysis of variance, the significance of each process parameter and optimum parameter combination is obtained. Based on the signal-to-noise ratio, the most significant process parameter affecting porosity and microhardness was standoff distance, while for bond strength, it was powder feed rate. An optimal combination of process parameters for porosity, microhardness, and bond strength was obtained from S/N ratio analysis. For porosity, optimal parameters were standoff distance of 100rpm, powder feed rate of 30g/min, and gun speed of 250mm/s. The optimal process parameters for microhardness were standoff distance of 300rpm, powder feed rate of 50g/min, and gun speed of 200mm/s. Finally, for bond strength, the optimal process parameters were standoff distance of 300rpm, powder feed rate of 50g/min, and gun speed of 250mm/s. Statistical results for porosity, microhardness, and bond strength showed that the difference between the predicted R2 and adjusted R2 values were relatively minimal and close to the one highlighting the fitness of the regression model employed for analysis. Fracture analysis after bond strength test showed combined adhesion/cohesion type failure for the Cr2O3 coatings. 2021, The Indian Institute of Metals - IIM.
Pradeep Kumar G.S.; Harish Kumar M.; Thomas S.; Yegnesh H.M.; Bharadwaj S.; Hebbar G.S.
Transactions of the Indian Institute of Metals, Vol-74, No. 8, pp. 2013-2025.
Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Harish Kumar M., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Thomas S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Yegnesh H.M., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Bharadwaj S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Hebbar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India
Heat transport of hybrid nanomaterial in an annulus with quadratic Boussinesq approximation
annulus; hybrid nanoliquid; non-uniform heat source/sink; O368; quadratic Boussinesq approximation; response surface methodology (RSM); sensitivity analysis
The convective heat transfer of hybrid nanoliquids within a concentric annulus has wide engineering applications such as chemical industries, solar collectors, gas turbines, heat exchangers, nuclear reactors, and electronic component cooling due to their high heat transport rate. Hence, in this study, the characteristics of the heat transport mechanism in an annulus filled with the Ag-MgO/H2O hybrid nanoliquid under the influence of quadratic thermal radiation and quadratic convection are analyzed. The non-uniform heat source/sink and induced magnetic field mechanisms are used to govern the basic equations concerning the transport of the composite nanoliquid. The dependency of the Nusselt number on the effective parameters (thermal radiation, nonlinear convection, and temperature-dependent heat source/sink parameter) is examined through sensitivity analyses based on the response surface methodology (RSM) and the face-centered central composite design (CCD). The heat transport of the composite nanoliquid for the space-related heat source/sink is observed to be higher than that for the temperature-related heat source/sink. The mechanisms of quadratic convection and quadratic thermal radiation are favorable for the momentum of the nanoliquid. The heat transport rate is more sensitive towards quadratic thermal radiation. 2021, Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature.
Applied Mathematics and Mechanics (English Edition), Vol-42, No. 6, pp. 885-900.
Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India
Significance of inclined magnetic field on nano-bioconvection with nonlinear thermal radiation and exponential space based heat source: a sensitivity analysis
The characteristics of heat transport in nanoliquids under the influence of bio-convection (motile microorganism) have significant applications, since nanoliquids have greater capacity to improve heat transport properties than conventional liquids. With these incredible nanoliquid characteristics, the main objective of current research is to examine the impact of the exponential heat source linked to space and the inclined magnetic force on the nano-bioconvective flow between two turntables. The effect of nonlinear thermal radiation, variable thermal conductivity and viscosity aspects are also considered. The complicated nonlinear problem is treated numerically by using Finite difference method. Optimization procedure implemented via Response surface Methodology for the effective parameters thermophoresis parameter, Hartmann number and radiation parameter on the heat transfer rate. The axial velocity is a dwelling function of the inclined angle of the magnetic field, and the variable viscosity parameter. The temperature profile hikes with an exponential space-related heat source and thermal radiation aspects. Also, the heat transport rate is highly sensitive towards nonlinear thermal radiation parameter compared to the thermophoresis effect and Hartmann number. 2021, The Author(s), under exclusive licence to EDP Sciences, SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
European Physical Journal: Special Topics, Vol-230, No. 5, pp. 1487-1501.
https://doi.org/10.1140/epjs/s11734-021-00045-9 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104078327&doi=10.1140%2fepjs%2fs11734-021-00045-9&partnerID=40&md5=e891c24ffc5bf2b73bfc8d828a8302ab
Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India
Influence of hydrothermal synthesis conditions on lattice defects in cerium oxide
Ceria synthesis; Hydrothermal conditions; Oxidation activity; Redox character
Cerium oxide makes one of the most promising materials for chemical transformations in environmental and energy applications. Herein, the influence of hydrothermal conditions on the physico-chemical characteristics of cerium oxide prepared from salt solution via ammonia precipitation is analyzed. The systems are well characterized using SEM, TEM, XRD analysis, photoluminescence spectra, Raman spectra, TPR study. and XPS analysis. Normal aqueous conditions lead to particles of size ~8 ?nm, with truncated octahedral geometry, closer to spheroid shape (RT-Ce) bound by {111} and {100} planes. Elevated temperature facilitated preferential exposed {100} plane bounded cubic ceria structures of size ~15 ?nm (HT-Ce), which are stabilized by more number of anion vacancies. Low temperature synthesis yielded smaller sized particles with less crystallinity and higher surface area, when compared to hydrothermal route. Lattice defects, represented in terms of Ce3+ ions and associated lattice oxygen vacancies are seen in higher amounts in ceria synthesised via hydrothermal path, as supported by various characterization results. CeO2 achieved via hydrothermal path exhibited higher catalytic oxidation activity, which is examined using a model oxidation reaction, vis., CO oxidation. The enhanced activity of HT-Ce is explained through the defect structure induced facile redox shift in the system. 2021 Elsevier Inc.
Divya T.; Anjali C.; Sunajadevi K.R.; Anas K.; Renuka N.K.
Journal of Solid State Chemistry, Vol-300
https://doi.org/10.1016/j.jssc.2021.122253 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105557078&doi=10.1016%2fj.jssc.2021.122253&partnerID=40&md5=b4d4ee8449da9d00833ee11d5d912d2e
Divya T., Department of Chemistry, University of Calicut, 673635, Kerala, India; Anjali C., Department of Chemistry, University of Calicut, 673635, Kerala, India; Sunajadevi K.R., Department of Chemistry, CHRIST (Deemed to Be University), 560029, Karnataka, India; Anas K., R&D Division, Sud-Chemie India Pvt. Limited, Binanipuram, 683502, Kerala, India; Renuka N.K., Department of Chemistry, University of Calicut, 673635, Kerala, India