Journal Papers (July 2021)

500

KIIT School of Applied Sciences

1. Patel, B. K. and Behera, N. (2021), On a Generalization of Incomplete Fibonacci Quaternions, Journal of the Indian Math. Soc., Vol. 88, No. 3-4, pp. 346-354, DOI: 10.18311/jims/2021/25549.

Abstract: The aim of this article is to introduce a new class of quaternions, namely, incomplete Horadam quaternions based on incomplete Horadam numbers which generalize the previously introduced incomplete Fibonacci and Lucas quaternions. Further, some identities including summation formulae and generating functions concerning these quaternions are also established.


2. Patnaik, A K, Samal S K, Pradhan N and Swain B K. (2021), Reflection of SH-waves by a Spherical Cavity Embedded in an Inhomogeneous Medium, Sambodhi(UGC CareJournal), Vol. 44, No. 3, pp.15-21.

Abstract: The solution of displacement field to the problem of reflection of SH-waves by a spherical cavity embedded in an inhomogeneous medium has been obtained in the integral form. The integrals are evaluated asymptotically to obtain a short time estimate of the motion near the wavefront by the steepest descent method. The displacements of impulsive waves are shown graphically for different values of the inhomogeneity factor. This problem has valuable applications in the theory of Earthquake Engineering, Civil Engineering, Geophysical and related problems in seismology.


3. Chaudhuri, S., Sinha, S., Chakraborty, P., Das, M., Sahoo, S. and Das, B. (2021), Thermal Characteristics of Forced Convection in Combined Pressure and Shear Driven Flow of a Non-Newtonian Third Grade Fluid Through Parallel Plates, Heat Transfer-Wiley, DOI: https://doi.org/10.1002/htj.22201 Abstract: Heat transfer in a non-Newtonian third-grade fluid, flowing under the action of pressure gradient and shear, through two parallel plates, is considered. The upper plate moves with a constant velocity. Constant wall heat fluxes are applied to the plates. Effects of viscous dissipation are also included in the flow field. The governing equations are non-linear and are solved semi-analytically by the Least Square Method (LSM). Further, approximate analytical solutions are obtained by the perturbation method which validates the results generated by the LSM. The effects of the third-grade fluid parameters on the velocity and temperature and Nusselt’s number are discussed.


4. Padhy, B. P., Mishra, A., and Misra, U. K. (2021), On Degree of Approximation of Fourier Series of Functions in Besov Space using Norlund Mean, Proyecciones (Antofagasta, On line), DOI: 10.22199/issn.0717-6279-4092.

Abstract: In the present article, we have established a result on degree of approximation of function in the Besov space by (N, rn)- mean of Trigonometric Fourier series.


5. Padhy, B. P., and Nayak, L. (2021), Degree of Approximation of Fourier Series of Functions in Besov Space by deferred Nörlund Mean, Asian-European Journal of Mathematics, 2250033, DOI: https://doi.org/10.1142/S1793557122500334.

Abstract: In the present paper, we estimate the rate of convergence of Fourier series of functions by Deferred Nörlund mean in Besov space which is a generalization of space.


6. Nanda, S. and Behera, N., (2021), Mond-Weir Duality under -invexity in Banach Space, J. Information and Optimization Sciences, Vol.42, No. 4, pp. 735-746, DOI: https://doi.org/10.1080/02522667.2020.1840101.

Abstract:The weak, the strong and the converse duality theorems of a pair of nonlinear programming problems under -invexity, generalized -invexity, strongly -pseudo- invex functions in Banach spaces. The proposed work deals with suitable numerical examples.



KIIT School of Biotechnology

1. Behera, M., Tiwari, N., Basu, A., Mishra, S. R., Banerjee, S., Chakrabortty, S., & Tripathy, S. K. (2021), Maghemite/ZnO nanocomposites: A highly efficient, reusable and non-noble metal catalyst for reduction of 4-nitrophenol, Advanced Powder Technology, accepted. DOI: 10.1016/j.apt.2021.06.005 (IF: 4.8)

Abstract:

Heterogeneously catalyzed reactions are considered to be the cornerstone for numerous chemical processes and employed extensively for production of a large number of consumer products. However, the proliferating cost of Noble metals and limited resources of catalytically active metals have urged researchers to explore alternative candidates for industrial applications. In the present work, Maghemite/ZnO nanocomposites was processed by a two-step process and utilized successfully as a non-Noble metal catalyst for hydrogenation of p-nitrophenol. As this innovative material could be recycled with no significant decline in its catalytic efficacy, it may find its application in large scale chemical process industries.


2. Ruj, B., Chakrabortty, S., Nayak, J., Chatterjee, R. (2021), Treatment of arsenic sludge generated from groundwater treatment plant: A review towards a sustainable solution, South African Journal of Chemical Engineering, vol. 37, pp 214–226. https://doi.org/10.1016/j.sajce.2021.06.003. Cite score: 6.2

Abstract:

Arsenic pollution in groundwater that exceeds the permitted limit has been identified as a serious threat that has raised the alarm in a number of developing countries. Though a variety of technologies have been used to remove arsenic from water, little effort has been made to ensure that the generated sludge from arsenic-removing groundwater treatment plants is properly stabilised to prevent leaching. This research examines the possibilities of stabilising arsenic resistant sludge by forming bricks and cement blocks, based on a thorough analysis of known technologies for safe arsenic sludge disposal.


3. Newar, J., Verma, S., Ghatak, A. (2021), Effect of Metals on Underwater Adhesion of Gastropod Adhesive Mucus, ACS Omega, Vol. 6, No. 24, pp. 15580-15589, DOI: 10.1021/acsomega.0c06132 (IF: 3.512).

Abstract:

Many gastropods release adhesive mucus, which help them to remain attached to different substrates. We investigated the role of metals in improving the underwater adhesive property of the mucus from the slug Laevicaulis alte. We found that adhesive function of the mucus could be improved by treatments with salts of metals, namely, Ca, Mg, Cu, or Zn. Treatment with Cu²⁺ and Zn²⁺ increased its strength and underwater stability almost threefold. Our study showed that treatment with Zn²⁺ is the best choice for improvement of the underwater adhesive property. Overall, this work presents a novel biological underwater adhesive with a dynamic behavior in a versatile metal-rich environment.


4. Rao, A., Sahay, P., Chakraborty, M., Prusty, B., Srinivasan, S., Jhingan, G., Mishra, P., Modak, R., Suar. M. (2021), Switch to autophagy the key mechanism for trabecular meshwork death in severe glaucoma, Accepted in Clinical Ophthalmology, 2021, (I.F: 2.077).

Abstract:

Glaucoma is a progressive and irreversible eye disorder that ultimately leads to loss of vision. In glaucoma, primary site of injury is the trabecular meshwork, TM, which contains collagen beams and endothelial cells with extracellular matrix (ECM). Mass spectrometry analysis revealed that Autophagy related proteins are predominant over apoptosis in ex-vivo dissected TM specimens from patients with severe adult primary open-angle (POAG) or angle-closure glaucoma (PACG) compared to controls (cadaver donor cornea). We conclude a preference of autophagy over apoptosis may underlie stage transition from moderate to severe glaucoma that is tightly regulated by epigenetic modulators. 


5. Sahay, P., Padhy, D., Sarangi, S., Das, G., Reddy, M.M., Modak, R., and Rao, A. (2021), TGFβ1, MMPs and cytokines profiles in ocular surface: Possible tear biomarkers for pseudoexfoliation, PLoS One, Vol. 16, No. 4, pp. e0249759. DOI: 10.1371/journal.pone.0249759.

Abstract:

Pseudoexfoliation (PXF) is a unique form of glaucoma characterized by accumulation of exfoliative material in the eyes. We performed Multiplex ELISA of tears, aqueous humor (AH) and serum samples and immunohistochemical analysis of tenon’s capsule of patients with PXF stages. We found that TGFβ1, MMP-9 and FN1 protein expression were upregulated in Pseudoexfoliation glaucoma (PXG) compared to PXF. Interestingly gelatin zymography showed that MMP-9 protein activity was downregulated in PXG compared with control or PXF.

We have observed downregulation of differential expression of different growth factors in these samples in correlation of disease progression.



KIIT School of Civil Engineering

Pani, A., and Singh, S. P. (2021), Reclamation of Sedimented Ash Deposit by Chemical Columns, Journal of Hazardous, Toxic, and Radioactive Waste, ASCE (IF – 1.44) (Accepted)

Abstract: This research focuses on the potentiality of Ca(OH)2 and NaOH columns in augmenting the geoengineering and geo-environmental properties of sedimented ash beds. Model ash beds were stabilized with NaOH and Ca(OH)2 of 9 M concentration. The magnitude of strength development around Ca(OH)2 column is found to be relatively insignificant and limited to column periphery whereas NaOH treatment shows significant improvement. Calcium-based hydration compounds are found in Ca(OH)2 treated ash bed whereas NaOH treatment displays both geo-polymeric/calcium based hydration compounds. Encapsulation of leached-elements in the reaction matrix reduces their concentrations in leachate which was identified to be influenced by pH value.



KIIT School of Computer Engineering

1. Singh, A., and Kakali, C. (2021), Securing Smart Healthcare System with Edge Computing, Computers & Security, 102353.

Abstract:

A smart healthcare system based on edge computing architecture consists of an intermediary layer called an edge computing layer responsible for maintaining the network latency and preserving the privacy of the patient data. This edge computing layer has handled the encryption and privacy of the patient data with the help of the Privacy-Preserving Searchable Encryption (PPSE) technique. The access control mechanism is also implemented to restrict unauthorized access to the remote stored patient data. The proposed model’s implementation, performance, and security analysis show high security, low latency, low transfer time, low power, and low energy compared to a similar approach.


2. Mishra, S., Thakkar, H., Mallick, P. K., Tiwari, P., and Alamri, A. (2021), A Sustainable IoHT based Computationally Intelligent Healthcare Monitoring System for Lung Cancer Risk Detection, Sustainable Cities and Society, 103079.

Abstract:

In this work, a sustainable lung cancer detection model is developed to integrate the Internet of Health Things (IoHT) and computational intelligence. The IoHT unit generates data from patients. The Heuristic Greedy Best First Search (GBFS) algorithm selects relevant attributes of lung cancer data upon which a random forest algorithm classifies lung cancer affected patients. The mean accuracy, specificity, sensitivity, and f-score value recorded is 96.96 %, 96.26 %, 96.34 %, and 96.32 %, respectively, over various cancer datasets. The developed model reduces unnecessary manual overheads, preserves resources and assists medical professionals in reliable decision making on lung cancer diagnosis.


3. Priyadarshini, I., Kumar, R., Sharma, R., Singh, P.K., Satapathy, S.C. (2021), Identifying cyber insecurities in trustworthy space and energy sector for smart grids, Computers & Electrical Engineering, Vol. 93, pp. 107204, ( IF: 2.663).

Abstract:

The energies sector relies heavily on critical infrastructure and cloud usage. Hence, there is a simultaneous increase in the insecurities prevailing in both environments. Smart grids are vulnerable to cyber insecurities due to immense networking and data delivery. In this paper, we propose some of these insecurities that prevail in the cloud computing environment (Trustworthy Space) and the energy sector for smart grids. The insecurities are classified based on the motivation behind them. We rely on the Multi-Criteria Decision Making (MCDM) tool, Analytic Hierarchy Process (AHP) to determine how these insecurities affect smart grids.


4. Zhang, Y-D., Satapathy, S.C., Wu, D., Guttery, D.S., Górriz, J.M., and Wang, S-H. (2021), Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling, Complex and Intelligent System, Vol. 7, pp. 1295–1310, (IF: 3.717).

Abstract:

Ductal carcinoma in situ is a pre-cancerous lesion in the ducts of the breast, and early diagnosis is crucial for optimal therapeutic intervention. Thermography imaging I.s a non-invasive imaging tool that can be utilized for detection of DCIS and although it has high accuracy (~ 88%), it is sensitivity can still be improved. Hence, we aimed to develop an automated artificial intelligence-based system for improved detection of DCIS in thermographs. This study proposed a novel artificial intelligence based system based on convolutional neural network  termed CNN-BDER on a multisource dataset containing 240 DCIS images and 240 healthy breast images.

KIIT School of Electrical Engineering

1. Sannigrahi, S., Roy Ghatak, S. and Acharjee, P. (2021), Coordinated Planning of Distribution System with RES, DSTATCOM, and Protective Device, IEEE Transactions on Industry Applications, (Early access), DOI: 10.1109/TIA.2021.3083207, (IF- 3.488).

Abstract: In the competitive energy market, ensuring a reliable power supply becomes a major concern and accordingly, the distribution system must be equipped with protective devices to reduce frequency and duration of fault. In addition, large-scale integration of renewable energy sources (RES) is required because of the enormous load growth. In case of any fault, these devices can improve overall reliability by continuing power supply to the isolated loads. Accordingly, this study introduces a bi-level planning model where the optimal integration of RES and DSTATCOM is determined in upper-level planning and the protective devices are incorporated in lower-level planning.


2. Swaminathan, R., Mishra, S., Routray, A. and Swain, S. (2021), A CNN-LSTM-based fault classifier and locator for underground cables, Neural Computing and Application, doi.org/10.1007/s00521-021-06153-w, (I.F- 4.774).

Abstract: This paper presents a data-driven approach to classify and locate the faults occurring in underground Distribution cables using a CNN-LSTM-based deep learning architecture. A sliding window method is adopted, using the current and voltage signal patches as inputs. Additionally, Gaussian noise is added to resemble and extend the approach to practical scenarios. The trained model is evaluated with the data from a new simulation, and the results confirm the generalizability of the adopted method. A comparison is made with other feasible approaches, which show that the adopted method is preferable to achieve better performance.


3. Senapati, R., Vamsi Ram, I., Swain, S. and Senapati, R. (2021), Voltage and current profile improvement of a PV-integrated grid system employing sinusoidal current control strategy based unified power quality conditioner, Materials Today: Proceedings, Vol. 399, No. 5, pp. 1866-1875, https://doi.org/10.1016/j.matpr.2020.07.584.

Abstract: The basic aim of the electric power sector is to produce power as when required at the suitable sites, then transmitting and distributing to various load centres retaining the quality and fidelity of supply with economical tariff. This paper focuses on mitigation of power quality issues in a PV-integrated grid system by implementing constant Sinusoidal current control strategy-based simulation of Unified Power Quality Conditioner (UPQC) using MATLAB R2016a in association with various loads.


4. Mishra, S.P. and Senapati, R.(2021), Wind speed and power prediction using MK-PINN. International Journal of Power and Energy Conversion, Vol.12, No.1, pp.76-88, DOI: 10.1504/IJPEC.2021.113055

Abstract: A multi-kernel pseudo inverse neural network is proposed in this paper for efficient wind speed and power forecasting. The proposed model has been compared with Gaussian, wavelet, polynomial and sigmoid kernel. To get best output and learning methodology and stability pseudo inverse neural network is added, which substitutes the hidden layer with kernel function. This helps to achieve more accurate and faster response. Various case studies have been carried out from ten minutes to five hours interval to prove its accuracy.



KIIT School of Electronics Engineering

1. Bhajana V V K, Drabek P, Jara M, Popuri M, Iqbal A, B. ChittiBabu. (2021) Investigation of a Bidirectional DC-DC Converter with ZVS Operation for Battery Interfaces, IET Power Electronics, Vol.14, Issue.3,pp.614-625 DOI:10.1049/pel2.12048  (IF: 2.86).

Abstract

This paper proposes a bidirectional DC–DC converter with soft-switching capabilities. The main characteristic of this converter is that it can be operated in both boost and buck modes. The major advantages of this converter are high efficiency and reduced switching loss in high-power and high-voltage applications. The soft-switching capability is obtained by additional dual auxiliary resonant circuits connected to the conventional non-isolated bidirectional DC–DC converter. Except for the auxiliary switches, all main switches turn on with zero-voltage switching in this proposed bidirectional DC–DC converter. The auxiliary switches turn off with zero current transition.


2. Maity, S. K. and Pandit, S. (2021), Performance Assessment of CMOS circuits using III-V-on-Insulator MOS Transistors, Silicon, Vol.13, No. 6, pp. 1339 – 1349, DOI: 10.1007/s12633-020-00582-3) (IF: 1.499).

Abstract

In this work, with the help of calibrated numerical simulations, we have studied performance metrics of different circuits designed using III-V, III-V/Ge and Silicon-on-insulator (SOI) based CMOS logic. Inverter designed using III-V/Ge shows 51% and 17% reduction in rise and fall time compared to SOI CMOS. The oscillation frequency of the III-V/Ge, and III-V ring oscillator is three times and two times higher than SOI based design. The unity-gain bandwidth of the III-V/Ge and III-V inverting amplifier is 22 times and 9.5 times higher compared to SOI based circuit. The low noise amplifier circuit designed using InAs-OI transistor shows higher gain and low noise figure compared to the SOI-based design.


3. Dass S., Chatterjee K., Kachhap S., and Jha R. (2021), In Reflection Metal-Coated Diaphragm Microphone Using PCF Modal Interferometer, Journal of Lightwave Technology, Vol. 39, No. 12, pp. 3974– 3980, DOI: 10.1109/JLT.2021.3051951) (IF: 4.288).

Abstract:

In this paper, we propose a double/hybrid interferometry optical microphone. We have combined the intermodal interference of SMF-SCPCF section with extrinsic Fabry-Perot interferometer to construct a highly sensitive, compact and robust optical microphone. The acoustic sensitivity and noise-limited minimum detectable pressure (MDP) of the proposed microphone is 34.8 nm/kPa and 0.26 P⁄√Hz at 1400 Hz. We also recorded the angular response of the proposed optical microphone and the final directionality pattern is of ‘cardioid’ type which makes it a preferable option for a wide variety of applications.


4. Behera, T. M. and Mohapatra, S. K. (2021), A novel scheme for mitigation of energy holeproblem in wireless sensor network for military application, International Journal ofCommunication Systems, Vol. 34, No. 11, (https://doi.org/10.1002/dac.4886) (IF: 1.319).

Abstract:

The data transmission in a multi-hop network, as used for military purposes, follows a many-to-one pattern resulting in a heavier traffic load for nodes near to sink. Hence, thesenodes deplete energy very soon resulting in a vacuum of energy and breakage of the network. This article aims to mitigate the EHP by implementing a corona-based model in a clustered network. Here the CH selection is regularized by preferring the outer corona nodes over the inner ones. The proposed model is implemented in both homogeneous and heterogeneous networks and better network performance is observed.


5. Mondal, J., Deb, A. and Das, D. K. (2021), An Efficient Design for Testability Approach of Reversible Logic Circuits, Journal of Circuits, Systems and Computers, Vol. 30, No. 6, pp. 2150094:1 – 2150094:31, DOI: https://doi.org/10.1142/S0218126621500948 (IF: 1.363).

Abstract:

Reversible circuits have been extensively investigated because of their applications in areas of quantum computing or low-power design. This paper introduces a design for testability (DFT) technique for reversible circuits where the gates of a circuit are clustered into different sets and the gates from each cluster are then connected to an additional input line. Such arrangement makes it possible to achieve 100% fault detection in any reversible circuit with a small increase in quantum cost. Experimental evaluations confirm that the proposed DFT technique incurs less quantum cost overhead with 100% fault detection compared to the existing DFT techniques.


6. Jha, A K V, Appasani, B., Ghazali, A N. Bizon, N. (2021), AComprehensive Risk Assessment Framework for Synchro phasor Communication Networks in aSmart Grid Cyber Physical System with a Case Study, Energies, Vol. 14, no. 12: 3428.https://doi.org/10.3390/en14123428. (I.F 2.702).

Abstract:

A comprehensive risk assessment framework has been proposed in this article for three types of Synchrophasor Communication Networks (SCNs), The proposed framework uses hardware reliability as well as data reliability to evaluate the associated risk. A simplified hardware reliability model has been proposed for each of these networks, based on failure probability to assess risk associated with hardware failures. Furthermore, the packet delivery ratio (PDR) metric is considered for measuring risk associated with data reliability. To mimic practical shared and hybrid SCNs, the risk associated with data reliability is evaluated for different background traffics. The analytical results are meticulously validated by considering a case study of West Bengal’s (a state in India) power grid.


7. Mishra, S K., Jha, A K V., Verma, V K.,  Appasani, B., Abdelaziz, A, Y. Bizon, N. (2021), An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems; Mathematics, Vol. 9, no. 11: 1262.https://doi.org/10.3390/math9111262 (IF 1.747).

Abstract-

This paper presents an optimized algorithm for event-triggered control (ETC) of networked control systems (NCS). Initially, the traditional back stepping controller is designed for a generalized nonlinear plant in strict-feedback form that is subsequently extended to the ETC. In the NCS, the controller and the plant communicate with each other using a communication network. In order to minimize the bandwidth required, the number of samples to be sent over the communication channel should be reduced. This can be achieved using the non-uniform sampling of data. However, the implementation of non-uniform sampling without a proper event triggering rule might lead the closed-loop system towards instability. Therefore, an optimized event triggering algorithm has been designed such that the system states are always forced to remain in stable trajectory.



KIIT School of Mechanical Engineering

1. Sahoo, A. K., Panda, A., Nayak, B. B., Kumar, R., Das, R. K., Nayak, R. K. (2021), Machinability model and multi-response optimisation of process parameters through regression and utility concept,International Journal of Process Management and Benchmarking, Vol. 11, No. 3, pp. 390-414, DOI: 10.1504/IJPMB.2021.115009.

Abstract

Over the years, it is essential to produce appropriate dimensions with quality parts for the use in various automotive components. This paper presents modelling and multi-optimisation exploration on the hard part turning of EN 24 grade steel at 48 HRC with coated carbide multilayer inserts for three roughness factors (Ra, Rz, and Rt). Taguchi L16 orthogonal design with three input parameters and three quality characteristics output was applied to suitably model the process requirements. The ideal parametric setting for different multiple quality features was found to be the depth of cut (0.4 mm), feed rate (0.04 mm/rev) and cutting speed (200 m/min) respectively.


2. Ray, S., Rout, A.K., Sahoo, A.K.(2021),A comparative analysis of the abrasion wear characteristics of industrial wastes filled glass/polyester composites based on the design of experiment and neural network,Polymer Composites, Vol. 42, No. 1, pp. 424-438, DOI: 10.1002/pc.25836. DOI: 10.1002/pc.25836(I.F: 3.171).

Abstract

This article presents the abrasion wear behaviour of different industrial wastes filled glass/polyester composites. Two types of fillers such as fly ash and granite dust are chosen with different weight proportions along with polyester and glass fiber for fabricating the composite using hand layup route. Abrasion wear properties of the developed composites are         studied in the dry sand abrasion wear test rig as per the ASTM-G-65 standard. The experiments were conducted based on Taguchi design. Between the two fillers, granite filled composite showed better abrasion resistance property as compared with fly ash. The results are predicted using neural network and also compared with the experimental and      regression model data. Abraded surfaces are examined by the SEM to ascertain the different   wear mechanisms responsible for abrasion loss of material.


3. Chauhan, H., Satapathy, S., Sahoo, A.K. (2021), Mental stress minimization in farmers: an approach using REBA, PSO, and SA, International Journal of Systems Assurance Engineering and Management. DOI: 10.1007/s13198-021-01167-y.

Abstract

The present study was aimed to evaluate the ergonomic risks in the agricultural    sectors that may lead to mental stresses as well as musculoskeletal disorders among farmers. This study was carried out by considering 149 farmers from the states of “Chhattisgarh and   Odisha” in India. The ergonomic tool such as “Rapid Entire Body Assessment” was used to analyze the working postures of farm workers. Further based on the objective function as minimization of mental stresses on farmers, the “Particle Swarm Optimization and Simulated Annealing” algorithms were used to find the best fitness values. Based on the findings, suitable ergonomic-solutions may be undertaken for the design and development of proper farm-related as well as farmers’ protective tools for their benefits.


4. Chauhan, H., Satapathy, S., Sahoo, A.K. (2021), An integrated swara and QFD approach to minimize mental stress of Indian Farmers, International Journal of Service Science, Management, Engineering, and Technology, Vol. 12, No. 2, pp. 111 – 131. DOI: 10.4018/IJSSMET.2021030107.

Abstract

Farmers are dependent upon various exceptional work-related stressors, a significant number of which have been exasperated as of late by changes in cultivating practice and by other factors. The present was based on in-depth review of literature and analysis of works based on the mental workloads and stresses of framers. The risks associated with the Indian agricultural sectors were identified. And then SWARA method was used for calculating the weights and corresponding ranking of the criterion/ parameter along with sub-criteria/sub-parameters were done accordingly. Then, the QFD technique was used to suggest the design parameters so as to minimize the work stress on farmers.


5. Kumar, R., Pandey, A., Panda, A., Mallick, R., Sahoo, A.K. (2021), Grey-Fuzzy Hybrid Optimization and Cascade Neural Network Modelling in Hard Turning of AISI D2 Steel, International Journal of Integrated Engineering, Vol. 13, No. 4, pp. 189 – 207. DOI: 10.30880/ijie.2021.13.04.018.

Abstract

Current work utilizes     PVDcoated (TiAlN) carbide insert in dry hard turning of AISI D2 steel. The multi-responses like tool-flank wear, chip morphology, and chip reduction coefficient are considered. To achieve the best    combination of input cutting terms, grey-fuzzy hybrid optimization (Type I and Type II) is utilized considering the Gaussian membership function. The optimal combination of input terms is found as t-1 (0.15 mm), s-4 (0.25 mm/rev) and is Vc-2 (100 m/min) which is comparable to the results obtained under spray impingement cooling using CVD tool in the literature. Further, six different types of cascade-forward-back propagation neural network modelling is accomplished. Among all models, CFBNN-4 model exhibited the best prediction results with   a mean absolute error of 2.278% for flank wear (VBc) and 0.112% for the chip reduction coefficient (CRC).


6. Sahoo, B.P., Das, D. (2021), Investigation on reinforcement incorporation factor and microstructure of Al 7075/submicron-TiB2 metal matrix composites processed through a modified liquid metallurgy technique,Experimental Techniques, Vol.45, No. 2, pp. 179-193. DOI: 10.1007/s40799-020-00429-x (IF: 1.167).

Abstract:

In this paper 0.8, 1.2, 1.6 and 2 wt.% of submicron-TiB2 particulate reinforced Al 7075 metal matrix composites (MMCs) were fabricated following a modified liquid metallurgy technique, which included ball milling, semi-solid stirring and ultrasonic agitation assisted squeeze casting method. Results revealed excellent incorporation and dispersion uniformity of the reinforcements in the matrix phase. Occasional formation of reaction by-products (Al4C3) was observed at the interface of 1.2 wt.% TiB2 reinforced MMC. Reduction of precipitates and large grain refinements were observed for the MMC containing 1.6 wt.% of TiB2. In the microstructure of Al 7075/2 wt.% TiB2 MMC, superior dispersion of reinforcements at grain boundaries and inter-dendritic regions, along with presence of metastable η-MgZn2 phases was identified. Crystalline phase identification of all the composite samples was also performed through XRD analysis, which validated the elemental phase distribution results of EDS.


7. Mukherjee, S., Halder, T., Ranjan, S., Bose, K., Mishra, P. C., Chakrabarty, S. (2021), Effects of SiO2 nanoparticles addition on performance of commercial engine coolant: Experimental investigation and empirical correlation,Energy, Vol. 231, pp. 120913, DOI: 10.1016/j.energy.2021.120913 (IF: 7.147).

Abstract

SiO2 nanoparticles were dispersed in engine coolant to prepare nanofluids at five different mass concentrations of 0.01%, 0.05%, 0.10%, 0.50% and 1%. The SiO2 nanofluid samples showed good dispersion stability. Nanocoolant with 1% concentration at 65 °C showed a maximum enhancement in thermal conductivity value of 21.083%. A mathematical correlation was developed to predict the thermal conductivity of engine coolant based SiO2 nanofluids with high accuracy. The experimental outcome reveals that the thermal performance of commercial engine coolant could be increased with the addition of SiO2 nanoparticles.


8. Nayak, S. K., Hoang, A. T., Nayak, B., Mishra, P. C. (2021), Influence of fish oil and waste cooking oil as post mixed binary biodiesel blends on performance improvement and emission reduction in diesel engine,Fuel, Vol. 289, No. 119948, DOI: 10.1016/j.fuel.2020.119948 (IF: 6.609).

Abstract

The performance, combustion and emission characteristics of a single-cylinder four-stroke, direct injection diesel engine fuelled with fish oil biodiesel and waste palm cooking oil biodiesel via. Transesterification processes in different volume proportionate are described. Results depicted PMBD20 to showcase close resemblance to diesel fuel. Moreover, it depicts higher specific fuel consumption and lower thermal efficiency of 1.82%↑ higher and 2.06%↓ lower than diesel. Similarly, carbon monoxide, hydrocarbon and smoke intensity were diminished by 18.2%↓, 23.4%↓ and 15.4%↓ lower, but at the cost of higher oxide of nitrogen i.e. 10.66%↑ higher, in contrast to diesel fuel for better environmental sustainability and security.


9. Tiwari, P. K., Raj, S., Kumar, S., Singh, P., Swaraj, R., Sarkar, S., Nayak, S. K., Mishra, P.C. (2021), Influence of calophyllum inophyllum and Jojoba oil methyl ester blended with n-pentanol additive upon overall performance, combustion and emission characteristics of a TDI engine operated in natural aspirated mode,Fuel, Vol. 288, No. 119576, DOI:10.1016/j.fuel.2020.119576 (IF: 6.609).

Abstract

Considering performance and emission characteristics calophyllum inophyllum oil methyl ester and pentanol blend (CIME20–P20) depicts a higher brake specific fuel consumption of 3.41% while lower exhaust gas temperature and brake thermal efficiency of 13.46% and 1.18% in contrast to diesel fuel. Carbon dioxide, hydrocarbon, oxides of nitrogen and smoke opacity for CIME20–P20 were 57.02%, 59.37%, 17.39% and 41.53% lower than conventional diesel fuel. CIME20–P20 depicts better performance and diminished exhaust emission thereby making it more potential to substitute the conventional fuel without any engine alteration for better environmental sustainability and energy security.


10. Mukherjee, S., Mishra, P. C., Chakrabarty, S., Chaudhuri, P. (2021), Effects of Sonication Period on Colloidal Stability and Thermal Conductivity of SiO2–Water Nanofluid: An Experimental Investigation, Journal of Cluster Science, 1-9, DOI: 10.1007/s10876-021-02100-w (IF: 3.061).

Abstract

The objective of the present work is to analyze the consequences of the sonication period on the colloidal stability and thermal conductivity of SiO2–water nanofluid. The obtained results indicate that increasing sonication time is crucial for the enhancement in stability and thermal conductivity of nanofluid. With increasing temperature, the thermal conductivity of nanofluids also increased. Moreover, at lower temperature, sonication plays a dominant role on thermal conductivity enhancement in nanofluids. The investigation concludes that a minimum 2.5 h of sonication is required for the better performance of nanofluids.


11. Mukherjee, S., Panda, S. R., Mishra, P. C., Chaudhuri, P. (2021), Convective Flow Boiling Heat Transfer Enhancement with Aqueous Al2O3 and TiO2 Nanofluids: Experimental Investigation,International Journal of Thermophysics, Vol. 42, No. 6, pp. 1-26, DOI: 10.1007/s10765-021-02850-9 (IF: 1.608).

Abstract

Stable suspensions of aqueous Al2O3 and TiO2 nanofluids at two different concentrations of 0.01 and 0.1 wt% were prepared and allowed to flow through a horizontal annulus under varying heat flux from 26,140.132 to 53,573.503 W⋅m‒2 and varying flow rates from 3 to 6 L⋅min‒1. A maximum of 2.4 times enhancement in HTC relative to water was observed. Highest pressure drop of 33.33 % was registered with nanofluids at 0.1 wt%. Figure of merit showed that nanofluids are better alternatives to their basefluids for superior heat transfer.


12. Arora, N., Mukherjee, S., Mishra, P. C., Chakrabarty, S., Chaudhuri, P. (2021), Thermal Conductivity Enhancement of Silica Nanofluids for Ultrafast Cooling Applications: Statistical Modeling and Economic Analysis,International Journal of Thermophysics, Vol. 42, No. 5, pp. 1-22, DOI: 10.1007/s10765-021-02816-x (IF: 1.608).

Abstract

Stable nanofluids were prepared by dispersing dry SiO2 particles directly in water using sonication. The thermal conductivity of nanofluid with mass concentrations of 0.01 % to 1 % was estimated using a unique ultrasonic velocity measurement technique at various temperatures over 25 °C to 65 °C for every 10 °C rise. Experimental data are analyzed through statistical method and a simple linear regression model (with R2 > 0.99) of thermal conductivity is presented. Further, pricewise performance of nanofluids is performed to obtain the economic feasibility of SiO2–water nanofluids in heat transfer applications.


13. Aich, S.Tripathy, S.Joo, M. I., Kim, H. C. (2021), Critical dimensions of blockchain technology implementation in the healthcare industry: An integrated systems management approach,Sustainability, Vol. 13, No. 9, pp. 5269,  DOI: 10.3390/su13095269 (IF: 2.576).

Abstract

Blockchain technology has gained increasing attention as it ensures transparency, trust, privacy, and security. However, the critical factors affecting efficiency require further study. Here, we define the critical factors that affect blockchain implementation in the healthcare industry. We extracted such factors from the literature and from experts, then used interpretive structural modeling to define the interrelationships among these factors and classify them according to driving and dependence forces. This identified key drivers of the desired objectives. Regulatory clarity and governance (F2), immature technology (F3), high investment cost (F6), blockchain developers (F9), and trust among stakeholders (F12) are key factors to consider when seeking to implement blockchain technology in healthcare. Our analysis will allow managers to understand the requirements for successful implementation.


14. Mohapatra, B., Singhal, D., Tripathy, S. (2021), Lean Manufacturing towards Sustainability: A Grey Relational Framework, International Journal of System Dynamics Applications (IJSDA), Vol. 10, No. 1, pp.16-30. http://doi.org/10.4018/IJSDA.2021010102.

Abstract

This paper intends to capture the attention of the lean researchers towards a shift of priorities of the various techniques implemented in lean and its journey of 40 years in the global scenario. In particular, the paper focuses on the implementation of lean techniques in India under the banner of sustainability. The paper focuses on three industries, a textile industry representing industrial revolution 1.0, an automotive spare parts industry representing industrial revolution 2.0, and an electrical/electronics industry representing industrial revolution 3.0, named ‘A’, ‘B’, and ‘C’, respectively, and analyses the priorities of the eight best techniques of lean in the sustainability phase. The techniques are Kaizen, Poke-Yoke, 5S, Kanban, Just-in-Time, Jidoka, Takt-Time, and Heijunka.


15. Mahapatra, P., Tripathy, S., Panda, S. K. (2021), Factors Influencing of SSCM Performance of the Indian Insurance Industry: An ISM Approach, International Journal of System Dynamics Applications (IJSDA), Vol. 10, No. 4, pp. 1-18. http://doi.org/10.4018/IJSDA.20211001. oa5.

Abstract

Here, the study is an attempt to overcome the challenges that impacts the effectiveness, efficiency, and success of SSCM of the Indian insurance industry. To show the hierarchical interrelationship among the selected significant factors of the insurance industry, an integrated comprehensive framework has been developed, displayed, and explained through an interpretive structural modelling (ISM) technique. Beneath the study, various classification of influential factors have been carried out like autonomous, linkage, dependencies, and driving force. Finally, this study developed a hierarchical structure of selected prominent factors responsible for the success of SSCM of the Indian insurance industry by using ISM technique.



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