Application of Nanomaterials in Cementitious Systems

Author

Mainak Ghosal

Keywords

Cement; Mortar; Nanomaterials

Abstract

Nanomaterials are advanced materials derived from nanotechnology which can address much of the present-day world’s problems if used in optimum quantities. Nanotechnology is ruling in electronics, medicines, water-purification, textiles, cosmetics, mobiles, computers and health-care fields. This Paper focus on the effect of adding nanomaterials in cement-sand mortar at various dosages by weight of cement at different ages starting from short term to long term via. medium term. Comparing the results of nano-additive cement mortars with that of ordinary cement mortars it has been found that nano-additions has resulted in a higher strength gain.

References

[1] Jayapalan,A.R. et al(2009), ‘Effect of Nano-sized Titanium Dioxide on Early Age Hydration of Portland Cement’, NanoTechnology in Construction 3,Springer Publications,pp 267-273.
[2] Belkowitz,S.J. & Armentrout,D.(2010), ‘An Investigation of Nano Silica in the Cement Hydration Process’, Concrete Sustainability Conference, National Ready Mixed Concrete Association, Europe.
[3] Quercia,G. &Brouwers, H.J.H.(2010), ‘Application of nano-silica (nS) in concrete mixtures’,8thfib PhD Symposium in Kgs. Lyngby, Denmark, June 20 – 23, 2010.
[4] Valipour,M. et al.(2010), ‘Comparative study of nano-SiO and silica fume on gas permeability ofhigh performance concrete (HPC)’ ,ⓒ 2010 Korea Concrete Institute.
[5] Jemimath, C.M. &Arulraj, G.(2011), ‘Effect of Nano-Flyash on strength of Concrete’, International Journal of Civil & Structural Engineering,Vol.2,No.2,2011.
[6] Kumar,S. et al(2012), ‘Effect of Multiwalled Carbon Nanotubes on Mechanical Strength of Cement Paste’, Journal of Materials in Civil Engineering,24(1),84-91.
[7] Maheswaran,S. et al(2012). ‘An Overview on the Influence of Nano Silica in Concrete a Research Initiative’, Research Journal of Recent Sciences, Vol. 2(ISC-2012), 17-24.
[8] Yang,H.(2012), ‘Strength and Shrinkage Property of Nano Silica Powder Concrete’,2ndInternational Conference on Electronic & Mechanical Engineering & Information Technology, China.
[9] Yuvraj,S.(2012), ‘Experimental Research On Improvement Of Concrete Strength And Enhancing The Resisting Property Of Corrosion And Permeability By The Use Of Nano Silica Flyashed Concrete’. International Journal of Emerging Technology and Advanced Engineering, Vol. 2, Issue 6, June 2012.
[10] Abyaneh, M.R.J. et al(2013), ‘Effects of Nano-Silica on Permeability of Concrete and Steel Bars Reinforcement Corrosion’, Australian Journal of Basic and Applied Sciences, pp464-467, 2013.
[11] Lucas. et al(2013), ‘Incorporation of titanium dioxide nanoparticles in mortars-Influence of microstructure in the hardened state properties and photo catalytic activity’, Cement and Concrete Research, pp 112-120,2013.
[12] Madhavi, T.Ch. et al(2013), ‘Effect of Multiwalled Carbon Nanotubes on Mechanical Properties of Concrete’ ,International Journal of Scientific Research,Vol.2,Issue 6,June 2013,166-168.
[13] Rajmane, N.P. et al(2013),’Effect of Addition of Nano-Silica to Portland Cement Mortar, with and without Silica Fume’, ICIJournal,vol 14,No.2,July-September,7-16.
[14] Sobolev, K., and Gutierrez, M. F. (2005). “How nanotechnology can change the concrete word.” American Ceramic Society Bulletin, Vol.84, No.10, pp.14-18.
[15] S. Szunerits and R. Boukherroub(2018), “Near-Infrared Photothermal Heating With Gold Nanostructures”,Encyclopaedia of Interfacial Chemistry,Elsevier,Pages 500-510,ISBN 9780128098943,https://doi.org/10.1016/B978-0-12-409547-2.13228 (http://www.sciencedirect.com/science/article/pii/B9780124095472132287)

Received : 02 October 2020
Accepted : 24 December 2020
Published : 07 January 2021
DOI: 10.30726/esij/v7.i4.2020.74026

Application of Nanomaterials in Cementitious Systems

Distribution Network Reconfiguration and D-STATCOM Allocation using Variational Technique

Author

Dr. A. V. Sudhakara Reddy, Dr. M. Damodar Reddy

Keywords

COVID Fuzzy Approach; Particle Swarm Optimization; D-STATCOM; Feeder Reconfiguration.

Abstract

This paper explores feeder reconfiguration alongside distributed static compensator (D-STATCOM) in distribution systems. An efficient method is present to optimize the radial distribution structure by means of reconfiguration along with allocation of distributed static compensator. Network Reconfiguration of distribution system is a momentous way of revising the power flow through the various alternative lines with an objective of minimizing real power loss distribution system. A precise and load flow algorithm is useful and the objective function is formulated to solve the fitness function, which includes D-STATCOM for reactive power compensation to minimize the power losses. Particle swarm optimization is exploited to restructure and recognize the best strap switches for minimization of real power loss in a distribution network. Fuzzy analysis is projected to find the optimal location of D-STATCOM. Variational Technique is used to identify the optimal size of D-STATCOM. This has been tested on IEEE 33-bus system to prove the adequacy of the technique using MATLAB software.

References

[1] Walmir Freitas, Andre Morelato, Wilsun Xu, Fujio Sato, “Impacts of AC Generators and DSTATCOM Devices on the Dynamic Performance of Distribution Systems” IEEE Transactions on Power Delivery, Vol. 20, No. 2, pp.1493-1501, April 2005.
[2] Bhim Singh, A.Adya, A.P.mittal and J.R.P Gupta “Modeling and Control of DSTATCOM for Three-Phase, Four-Wire Distribution Systems” IEEE, 2005.
[3] M. Damodar Reddy, Prof. V.C.Veera Reddy “A two-stage methodology of optimal capacitor placement for the reconfigured network”, Indian Journal of Engineering & Material Sciences ISSN: 1819-6608, Vol-17, p.p. 105-112, April – 2010.
[4] Rahamat Allah Hooshmand, Hossein Mohkam, “New optimal placement of capacitors and dispersed generators using bacterial foraging oriented by particle swarm optimization algorithm in distribution systems”, Springer, 2011.
[5] M. Damodar Reddy, N.V.Vijay Kumar “Optimal Capacitor Placement for Loss Reduction in Distribution System Using Fuzzy and Harmony Search Algorithm”, ARPN Journal of Engineering and Applied Sciences ISSN: 1819-6608, Vol. 7, No.1 pp. 15-19, January- 2012.
[6] S. P. Gawande, Nilesh A. Kubde, Manish S. Joshi and B.S.Sudame “Reactive Power Compensation of Wind Energy Distribution System using Distribution Static Compensator (DSTATCOM) “, IEEE, 2012.
[7] Sabha Raj Arya, Ambrish Chandra, “Power Factor Correction and Zero Voltage Regulation in Distribution System Using DSTATCOM”, IEEE, 2012.
[8] S M Suhail Hussain, M Subbaramiah, “An Analytical Approach for Optimal Location Of DSTATCOM In Radial Distribution System”, IEEE, pp.1365-1369, 2013.
[9] Attia El-Fergany, A.Y.Abdelaziz “Improved for radial distribution networks using Artificial Bee Colony Algorithm”, Journal of Electrical Engg Technology Vol 9, No. 2, pp.441-451, 2014.
[10] Seyed Abbas Taher, Seyed Ahmadreza Afsari, “Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm”, Electrical Power and Energy Systems 60, pp.34–44, 2014.
[11] Joseph Sanam, Sanjib Ganguly, A. K. Panda, ” Placement of DSTATCOM in Radial Distribution Systems for the Compensation of Reactive Power”, IEEE, 2015.
[12] Atma Ram Gupta, Ashwani Kumar, “Energy savings using D-STATCOM placement in radial distribution System”, Procedia Computer Science 70, pp.558 – 564, 2015.
[13] Hossein Karami, Behrooz Zaker, Behrooz Vahidi & Gevork Babamalek Gharehpetian, “Optimal Multi-objective Number, Locating, and Sizing of Distributed Generations and Distributed Static Compensators Considering Loadability using the Genetic Algorithm” Electric Power Components and Systems, pp.1-11, Oct-2016.

Received : 19 October 2020
Accepted : 21 December 2020
Published : 07 January 2021
DOI: 10.30726/esij/v7.i4.2020.74025

Distribution Network Reconfiguration and D-STATCOM Allocation using Variational Technique

Design and Implementation of Smart E- Voting System Based on Finger Vein Recognition

Author

Joseph S, Roy Sudha Reetha P, Jenith J

Keywords

E-Voting; Finger-Vein; Support Vector Machine.

Abstract

Finger vein division is a significant issue in the unique mark acknowledgment framework. A finger vein picture must be sectioned to evacuate uninterested areas in different advances, for example, improvement and details identification with the goal of the picture handling will expend less CPU time. The picture of finger vein comprises various areas such as non-edge districts, top-notch edge locales, and low-quality edge areas. Finger vein identification is, as a rule, to recognize non-edge districts and unrecoverable low-quality edge areas and reject them as a foundation. Most division techniques are square wised which, partition the finger vein picture into un-covered squares and settle on the foundation and frontal area of each square. Some different strategies are pixel-wised ones which decide the sort of every pixel. Finger vein correction regularly registers the component (or highlight vector) of every component, square or pixel, and afterward decides the component’s sort dependent on the element (vector). The highlights utilized in finger vein division for the foremost part incorporate measurable highlights of pixel power, directional picture, and edge projection. The proposed Finger vein Identification and check System may be a biometric recognizable proof technique that utilizes computerized imaging innovation to accumulate, store, and investigate finger vein information. Here we are presenting another technique for finger vein ID innovation by utilizing SVM calculation.

References

[1] W. Zhong, X. Ning, and C. Wei, “A fingervein matching algorithm based on the relative topological relationship among minutiae,” in Proc. Int. Conf.NeuralNetw. Signal Process. Jun. 2008, pp. 225–228.
[2] E. Liu et al., “A key binding system based on n-nearest minutiae structure of fingervein,” Pattern Recognit. Lett., vol. 32, no. 5, pp. 666–675, Apr. 2011.
[3] R. Cappelli, M. Ferrara, and D. Maltoni, “Fingervein indexing based on minutia cylinder-code,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 1051–1057, Mar. 2011.
[4] F. Benhammadi, H. Hentous, K. Bey-Beghdad, and M. Aissani, “Fingervein matching using minutiae coordinate systems,” in Proc. PatternRecognit. Image Anal., 2005, pp. 9–19.
[5] X. Jiang and W. Y. Yau, “Fingervein minutiae matching based on the local and global structures,” in Proc. 15th ICPR, 2000, pp. 1038–1041.
[6] H. Ogawa, “Labeled point pattern matching by Delaunay triangulation and maximal cliques,” Pattern Recognit., vol. 19, no. 1, pp. 35–40, 1986.
[7] M. Abellanas, F. Hurtado, and P. A. Ramos, “Structural tolerance and Delaunay triangulation,” Inform. Process. Lett., vol. 71, nos. 5–6, pp. 221–227, Sep. 1999.
[8] A. A. Khanban and A. Edalat, “Computing Delaunay triangulation with imprecise input data,” in Proc. 15th Can. Conf. Comput. Geometry, 2003, pp. 94–97.
[9] G. Bebis, T. Deaconu, and M. Georgiopoulos, “Fingervein identification using Delaunay triangulation,” in Proc. Int. Conf. Inform. Intell. Syst., 1999, pp. 452.

Received : 28 August 2020
Accepted : 12 December 2020
Published : 07 January 2021
DOI: 10.30726/esij/v7.i4.2020.74024

Design and Implementation of Smart E- Voting System Based on Finger Vein Recognition

Charge and Health Status Estimation of a Lithium Ion Battery in an Electric Vehicle using Cell Balancing IOT Modeling Techniques

Author

Rakshitha Ravi

Keywords

Battery Management System; Open Circuit Voltage; Kalman Filter; State of Charge.

Abstract

In Present scenario Internal Combustion Engines [ICE] is overcome by Electric Vehicles [EV] due to advantages like reduction in carbon-di-oxide [CO2] emission cost. Advancement in electric vehicles is extensively happening and one such concept is Battery management system [BMS] in Battery Electric vehicle. In electric vehicle battery, there are many types of batteries and from the literature survey Lithium Ion Battery are more suitable because it is advantageous in weight, cost, energy density and lots of aspects. Battery might be overcharged or going to undergo faults. Hence a reliable management system is required to control the Electric vehicle [EV]. In this paper two battery charge estimation models namely, open circuit voltage and Kalman filter has been considered. From the simulation results obtained it is found that data retrieval is difficult in open circuit voltage method can be achieved using Kalman filter and found out to be satisfactory.

References

[1] Wu, C.; Zhu, C.; Ge, Y.; Zhao, Y. A Review on Fault Mechanism and Diagnosis Approach for Li-Ion Batteries. J. Nanomater. 2018, 1–9. [CrossRef] [2] Liu, Z.; Ahmed, Q.; Zhang, J.; Rizzoni, G.; He, H. Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications. Control Eng. Pract. 2016, 52, 46–58. [CrossRef] [3] Liu, K.; Liu, Y.; Lin, D.; Pei, A.; Cui, Y. Materials for lithium-ion battery safety. Sci. Adv. 2018, 4, eaas9820. [CrossRef] [PubMed] [4] Kong, L.; Li, C.; Jiang, J.; Pecht, M. Li-Ion Battery Fire Hazards and Safety Strategies. Energies 2018, 11, 2191. [CrossRef] [5] Wei,J.;Dong,G.;Chen,Z.Model bas edfault diagnosis of Lithium ion battery using strong tracking Extended Kalman Filter. Energy Procedia 2019, 158, 2500–2505. [CrossRef] [6] Kim, H.; Shin, K.G. Modeling of externally-induced/common-cause faults in fault-tolerant systems. In Proceedings of the AIAA/IEEE Digital Avionics Systems Conference. 13th DASC, Phoenix, AZ, USA, 30 October–3 November 1994; pp. 402–407.
[7] Doughty,D.;Roth,E.P.AGeneral Discussion of Li Ion Battery Safety. Electro chem. State of Charge. Interface2012,21,37–44.
[8] Lu, L.; Han, X.; Li, J.; Hua, J.; Ouyang, M. A review on the key issues for lithium-ion battery management in electric vehicles. J. Power Sources 2013, 226, 272–288. [CrossRef] [9] Venkatasubramanian, V.; Rengaswamy, R.; Yin, K.; Kavuri, S.N. A review of process fault detection and diagnosis. Comput. Chem. Eng. 2003, 27, 293–311. [CrossRef] [10] Xiong, R.; Yu, Q.; Shen, W. Review on sensors fault diagnosis and fault-tolerant techniques for lithium ion batteries in electric vehicles. In Proceedings of the 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), Wuhan, China, 31 May–2 June 2018; pp. 406–410.

Received : 27 September 2020
Accepted : 13 December 2020
Published : 07 January 2021
DOI: 10.30726/esij/v7.i4.2020.74023

Charge and Health Status Estimation of a Lithium Ion Battery in an Electric Vehicle using Cell Balancing IOT Modeling Techniques

Application of Nanomaterials in Cementitious Systems

Distribution Network Reconfiguration and D-STATCOM Allocation using Variational Technique

Design and Implementation of Smart E- Voting System Based on Finger Vein Recognition

Charge and Health Status Estimation of a Lithium Ion Battery in an Electric Vehicle using Cell Balancing IOT Modeling Techniques

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