• Research Association of Masters of Engineering

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    It is an open access online peer reviewed journal that publishes research papers, review articles and case studies in the discipline of Mechanical Engineering


    It is an open access online peer reviewed journal that publishes research papers, review articles and case studies in the discipline of Computer and Electronics Engineering

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Design and Simulation of Non-linear Adaptive Filters to Forecast Air Pollution

[Jagadeesh Hallur, Vijayalaxmi Jain, Neelam Hande, Vrushali Waghmare] Volume 3: Issue 2, Dec 2016, pp 36-40

Abstract—Due to the modern living style, Industrialization and growth of vehicles on the road air pollution is becoming a major problem especially in Urban and Metropolitans cities. If correct & accurate prediction & precautions are taken for the air polluting components then it can be controlled to some extent. Here the previous values of air polluting components are used as knowledge base which is obtained based on  3 seasons i.e. (summer, winter, rainy). Using the Non-Linear Adaptive filtering and Artificial Neural Network (ANN) the prediction of particular day is made.


Index TermsArtificial Neural Network (ANN)

[1] Foxall, R.; Krcmar, I.; Cawley, G.; Dorling, S.; Mandic, D.P. (2001). “Not linear modeling of air pollution time-series”, icassp, Vol. 6, pp. 3505-3508, IEEE International Conference on Acoustics, Speech, and Signal Processing.
[2] Bard, D.; Laurent, O.; Havard, S.; Deguen, S.; Pedrono, G.; Filleul, L.; Segala, C.; Lefranc, A.; Schillinger, C.; Rivière, E. (2010). “Ambient air pollution, social inequalities and asthma exacerbation in Greater Strasbourg (France) metropolitan area: the PAISA study, Artificial Neural Networks to Forecast Air Pollution”, Chapter 15 of "Ai Pollution", Editor V. Villaniy, SCIYO Publisher, ISBN 978-953-307-143-5.
[3] “Environmental Research Group, King's College London”. (2010). Air Quality project
[4] Hass, H.; Jakobs, H.J. & Memmesheimer, M. (1995). “Analysis of a regional model (EURAD) near surface gas concentration predictions using observations from networks, Meteorol. Atmos”. Phys. Vol. 57, pp. 173–200.
[5] Pasero, E.; Mesin L. (2010). “Artificial Neural Networks to Forecast Air Pollution”, Chapter 10 of "Air Pollution", editor V. Villaniy, SCIYO Publisher, ISBN 978-953-307-143-5.
[6] Widrow, B.; winter, R.G. (1988), “Neural Nets for Adaptive Filtering and Adaptive Patter Recognition”. IEEE Computer Magazine, Vol. 21(3), pp. 25-39.
[7] World Health Organization (2006). “Air quality guidelines. Global update 2005. Particulate matter, ozone, nitrogen dioxide and sulfur dioxide”, ISBN 92 890 2192 6.
[8] Kocak, K.; Saylan, L.; Sen, O. (2000). “Nonlinear time series prediction of O3 concentration in Istanbul”. Atmospheric Environnement, Vol. 34, pp. 1267–1271.
[9] Karatzas, K.D.; Papadourakis, G.; Kyriakidis, I. (2008). “Understanding and forecasting atmospheric quality parameters with the aid of ANNs”. Proceedings of the IJCNN, Hong Kong, China, pp. 2580-2587, June 1-6.
[10]  De Smet, L.; Devoldere, K.; Vermoote, S. (2007). “Valuation of air pollution ecosystem damage, acid rain, ozone, nitrogen and biodiversity – final report”. Available online: http://ec.europa.eu/environment/air/pollutants/valuation/pdf/synthesis_report _final.pdf.
[11]  Koller, D. & Sahami, M. (1996). “Toward optimal feature selection”, Proceedings of 13th International Conference on Machine Learning (ICML), pp. 284-292, July 1996, Bari, Italy.
[12]  Marquardt, D (1963). “An Algorithm for Least-Squares Estimation of Nonlinear Parameters”. SIAM Journal on Applied Mathematics 11: 431–441. doi:10.1137/0111030.

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Experimental, CFD & Parametric Analysis of Super Heater in Bagasse Fired Water Tube Boiler

[Rajabhau S ThombareNanasaheb B. Pawar, Nitin Y Patil] Volume 3: Issue 2, October 2016, pp 31 - 35
Abstract— A CFD simulation was carried out for the super heater placed in the combustion chamber of Bagasse fired water tube Boiler.  It has been employed to understand the thermal flow in the boiler to resolve the operational problem and search for optimal solution. The numerical analysis is carried out to enhance heat transfer characteristics and minimize thermal losses. Velocity, Pressure, Temperature, of steam as well as the temperature of tube wall was computed. The heat transfer coefficient was determined based on the measured steam temperature at the inlet & outlet of the super heater. The heat transfer coefficient computed using CFD analysis and compared with experimental results. A deviation of 1.93% in heat transfer coefficient is observed at 0.4320 kg/s, of steam mass flow rate, 573 inlet temperature, with 873 constant wall temperature. If total number of super heater pipes was decreased by 45 to 40 then Nusselt number increases by 10.02% indicating the increase in heat transfer. The results are useful for the maintenance engineer to make suitable prediction of the super heater tube life and make suitable action for the high temperature zone The results are useful for the maintenance engineer to make suitable prediction of the super heater tube life and make suitable action for the high temperature zone
Index Terms - Bagasse fired water tube boiler, Super heater, Thermal Measurements

[1] R. Saripalli, “Simulation of combustion and thermal flow    in an industrial boiler,” International Journal of Engineering and Innovative tubes Technology, 2005.
[2] Jayakumar, “CFD modeling of boiler rupture,” Journal of Applied Thermal Engineering 2001-01-1734.
[3] N. Ingale, “Cfd analysis of super heater in view of boiler tube leakage,” International Journal of Engineering and Innovative Technology Volume1 ISSN: 2277-3754.
[4] S. kumar K.R, “An investigation on tube temperature distribution in a water tube boiler,” IOSR Journal of Mechanical and Civil Engineering vol 2 pp 40-45, 2012.M. Kellogg, The M.W. Company, Design of Piping Systems, 2nd ed., New York, John Wiley & Sons, 1956.
[5] S. Begum, “Analysis of end crack in boiler tube,” Advanced Materials Research Vol 576  pp 749-752, 2012.M. Nayyar, Piping Handbook, 7th ed., McGraw-Hill, 2000.
[6] P. Amit N Parit and M. V. Ramaswamy, “Failure investigation of secondary super heater using cfd/cae technique,” IJERT Vol. 2 ISSN: 2278-0181., 2013.
[7] M.Khanorkar,“CFD analysis of natural convection flow through vertical pipe,”IJMERR, 2013.
[8] T. W. Raja Saripally and B. Day, “Simulation of combustion and thermal flow in an industrial boiler,” Proceedings of Industrial Energy Technology Conference, 2005
[9] A. Rahmani,“Assessment of boiler tubes over heating mechanisms during a postulated loss  of feed water accident,” Applied Thermal Engineering 501508, 2009.
[10]  D. T. C. Mohankumar, “CFD studies on multi lead rifled boiler tubes,” Int. Journal of Engineering Research and Applications vol 3 pp.24-26, 2013.
[11]  S. M. S. K. Ltd, Specification and Design Data Base, India.

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Static Structural Analysis of the Crane Hook using Ansys

[Vishal A. Rane, Ganesh V. Patil] Volume 3: Issue 2, August 2016, pp 25 - 30
Abstract— Material handling equipments are an eminent part of the human life. Cranes are amongst one of the material handling equipment which finds wide applications in different fields of engineering. The present work is an effort to cover complete design and analysis of industrial crane (EOT) of 63T/20T capacity. In this work the stress analysis of four major loads bearing components; lifting hook, trunnion, pulley supporting plate and main girder is carried out. The finite element analysis has been carried out for the rated load condition with some impact factor. Maximum stress and deformation locations were obtained for each of the components to check the validity of design values. The design and analysis results were validated by comparing with literature & calculation results.
Index terms- Industrial crane (EOT), design, analysis. element.
[1] Zuberi Rehan H, Kai Long, Zuo Zhengxing, "Design Optimization of EOT Crane Bridge", International Conference on Engineering Optimizationm, Rio de Janeiro, Brazil, 2008, pp. 1-9
[2] Alkin C., Imarak C. E, Kocabus H., "Solid Modeling and Finite Element Analysis of an Overhead Crane Bridge". Acta Polytechnica Vol. 45 No. 3 ,2005, pp. 61- 67.
[3] Gerdemeli Ismail, Kurt Serpil, Yildirım Metin,"Calculations, modeling and analysis with finite element method of rubber tyred container stacking", Trends in the Development of Machinery and Associated Technology. Mediterranean, Cruise, 11-18 September 2010, pp. 545-548
[4] Maharana Pradyumna keshari, “Computer aided analysis and design of hoisting mechanism of an EOT crane‖, NIT, Rourkela, 2012.
[5] Camelia Bretotean Pinca, G. O, "Finite element analysis of an overhead crane bridge". 2nd WSEAS Int. Conf. on Finite Differences, Finite Elements, Finite Volumes, Boundary Elements, Timişoara: ―Politechnica‖ University, Romania, 2005, pp. 51-56
[6] Jat, H. R., "Design & analysis of 150T capacity EOT crane". ESSAR Steel, Surat: 2012.
[7] Karmakar R., Mukharjee A., "Electric overhead cranes subjected to sever dynamic loading",1989, pp-56-63.
[8] Duggal, S. K., “Design of Steel Structure”, Tata McGraw Hill, NewDelhi, 1960
[9] Uddanwadiker, Rashmi, "Stress Analysis of Crane Hook and Validation by Photo-Elasticity", review from july27-aug12, Scientific research,2005, pp.935-941.
[10] IS 3177 and IS 4137, ―Codes of practice for electric overhead travelling cranes and Gantry Crane other than steel work cranes (Second revision)‖, 2006.
[11] Shigley J.E., Mischke C.R., “Mechanical Engineering Design”, McGraw Hill, Singapore, 1989.
[12] Oguamanam, D. and Hansen, J. S., ―Dynamics Response of an Overhead Crane System‖; Journal of Sound and Vibration, Vol. 213(5); 1998, pp 889-906.
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