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i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 19 Issue 1

A Comparative Thermodynamic Analysis of Organic Rankine Cycles (ORC) and Kalina Cycle for Low-Grade Energy Resources
Exergy Efficiency and Exergy Destruction Assessment of Heat Transfer and Fluid Flow through Spiral Passages using Source-Sink Model
Innovative Approach: Empowering Contextual Consulting in Industry 4.0 through a Hybrid Data Analytics Framework
Study of Corrosion and its Preventive Measures
Green Hydrogen Feasibility in Oman

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Volume 11 Issue 1 August - October 2015

Research Paper

Central Composite Design for Optimization of Chromium (VI) Removal from Aqueous Solution Using Low Cost Adsorbent

D. Krishna* , D.V. Padma**

*-** Department of Chemical Engineering M.V.G.R. College of Engineering, Vizianagaram, Andhra Pradesh, India

Krishna, D., and Padma, D.V. (2015). Central Composite Design for Optimization of Chromium (VI) Removal from Aqueous Solution Using Low Cost Adsorbent. i-manager’s Journal on Future Engineering and Technology, 11(1), 1-6. https://doi.org/10.26634/jfet.11.1.3654

Abstract

Aim of the experiment is to find out the optimization of adsorption parameters such as initial chromium (VI) concentration (5-30 mg/l), pH (1-4), and adsorbent dosage (1-3 g/l) using Central Composite Design in response with surface methodology. A total of 19 experiments were conducted for the present investigation towards construction of empirical model. The optimum conditions for maximum removal of chromium from an aqueous solution of 20 mg/l were as follows: adsorbent dose (2.26806 g/l), pH (1.76296) and initial chromium concentration (24.99465 mg/l). The maximum percentage removal of chromium at an optimum adsorption parameter is 70.53756%. This method is used to find out the mathematical model for the percentage removal of chromium metal ion from waste water efficiently.

References

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[3]. Kowalshi, Z., (1994). “Treatment of chromic tannery wastes”, J.Hazard Mater, Vol.39, pp.137-144.

[4]. Sikaily, A.E.,. Nemr, A.E., Khaled, A., and Abdelwahab, O., (2007). “Removal of toxic chromium from waste water using green alga Ulva lactuca and its activated carbon”, J.Hazard.Mater., Vol.148, pp. 216- 228.

[5]. Li, H., Li, Z., Liu, T., Xiao, X., Peng, Z., and Deng, L., (2008). “A novel technology for biosorption and recovery hexavalent chromium in wastewater by bio-functional magnetic beads”, Bioresour.Technol., Vol. 99, pp. 6271- 6279.

[6]. Gomez, V., and Callo, M.P. (2006). “Chromium determination and specialization since 2000, Trends”, Anal.Chem., Vol. 25, pp. 1006-1015.

[7]. World Health Organization (2004), Guidelines for drinking water quality, 3rd ed., Genrva, Vol.1, pp. 334.

[8]. Zhou, X., Korenaga, T., Takahashi, T Moriwake, T. and Shinoda, S., (1993). “A process monitoring/controlling system for the treatment of waste water containing (VI), Water Res., Vol.27, pp.1049.

[9]. Tiravanti, G., Petruzzelli, D., and Passino, R., (1997). “Pretreatment of tannery wastewaters by an ionexchange process for Cr (III) removal and recovery”, Water.Sci.Technol., Vol.36, pp. 197-207.

[10]. Seaman, J.C., Bertsch, P.M., and Schwallie, L., (1999). “In-Situ Cr (VI) reduction within coarse – textured oxide-coated soil and aquifer systems using Fe (II) solutions”, Environ.Sci.Technol., Vol.33, pp.938-944.

[11]. Kongsricharoern, N., and Polprasert, C., (1996). “Chromium removal by a bipolar electro-chemical precipitation process”, Water.Sci.Technol., Vol.34, pp.109-116.

[12]. Pagilla, K.R., and Canter, L.W., (1999). “Laboratory studies on remediation of Chromium-contaminated soils”, J.Environ.Eng, Vol.125, pp.243-248.

[13]. Chakravathi, A.K., Chowadary, S.B., Chakrabarty, S., Chakrabarty, T., and Mukherjee, D.C., (1995). “Liquid membrane multiple emulsion process of chromium (VI) separation from waste waters”, Colloids, Surf. A, Vol.103, pp.59-71

[14] . Aksu, Z., Ozer, D., Ekiz, H.I., Kutsal, T., and Calar. A., (1996). “Investigation of Biosorption of Chromium (VI) on Cladophora Crispata in Two-Staged Batch Reactor”, Environ.Technol., Vol.17,pp. 215-220.

[15]. Huang, S.D., Fann, C.F., and Hsiech, H.S., (1982). “Foam separation of chromium (VI) from aqueous solution”, J. Colloid. Interface. Sci., Vol.89,pp. 504-513.

[16] . Park, D., Yun, Y.S., and Park, J.M., (2010). “The past, present and, and future trends of biosorption, Biotechnol. Bioprocess. Eng, Vol.15, pp .86-102.

[17]. Mohan, D., and Jr. Pittman, C.U., (2006). “Activated carbon and low cost adsorbents for remediation of tri-and hexavalent chromium from water”, J. Hazard. Mater., Vol. 137, pp. 762-811

[18]. Gupta, S., and Babu, B.V., (2009). “Utilization of waste product (Tamarind seeds) for the removal of Cr (VI) from aqueous solutions: Equilibrium, kinetics and regeneration studies”, J. Environ. Man., Vol. 90, pp.3013-3022.

[19]. Shafey, E.I., (2005). “Behavior of reduction-sorption of chromium (VI) from an aqueous solution on a modified sorbent from rice husk”, Water Air Soil Pollution., Vol. 163, pp. 81-102.

[20]. Sharma, A., and Bhattacharya, K.G., (2004). “Adsorption of Pb (II) from aqueous solution by Azadirachta indica (Neem leaf powder) ” , J.Hazard.Mater., pp. 113, 97.

[21]. Hasan, S.H., Singh, K.K., Prakash, O., Talat, M., and Ho, Y.S., (2008). “Removal of Cr (VI) from aqueous solutions using agricultural waste maize bran”, J.Hazard.Mater. Vol.152, pp.356-365.

[22]. Bryant, P.S., Petersen, J.N.,Lee, J.M., and Brouns, T.M., (1992). “Sorption of heavy metals by untreated red sawdust”, Appl.Biochem.Biotechnol., Vol.34, pp. 777.

[23]. Song, W.X., Zhong, L.H., and Rong, T.S., (2009). “Removal of chromium (VI) from aqueous solution using walnut hull”, J.Environ.Man., Vol.90, pp.721-729.

[24]. Qaiser, S., (2009). “Biosorption of lead (II) and chromium (VI) on groundnut hull: Equilibrium, kinetics and thermodynamics study ”, Electronic journal of Biotechnology, Vol. 12.

[25]. Krishna, D., and Padma Sree, R., (2012). “Removal Of Chromium From Aqueous-Solution By Limonia- Acidissima Hull Powder As Adsorbent”, i-manager’s Journal on Future Engineering and Technology, Vol. 7(4), May-July 2012, Print ISSN: 0973-2632, E-ISSN: 2230-7184, pp. 27-38.

[26]. Alam, M.Z, Muyibi, S.A, and Toramae, J., (2007). “Statistical optimization of adsorption processes for removal of 2,4-dichlorophenol by activated carbon derived from oil palm empty fruit bunches”, J.Environ.Sci., Vol.19, pp.674-677.

[27]. Montgomerry D.C., (2001). Design and Analysis of Experiments, 5th ed., John Wiley and Sons, New York, USA.

[28]. D. Krishna and R. Padma Sree (2012). “Removal of Chromium From Aqueous Solution by Ragi Husk Powder as Adsorbent”, i-manager's Journal on Future Engineering and Technology, 8(1), Aug-Oct 2012, Print ISSN 0973- 2632, E-ISSN 2230-7184, pp.6-18.

[29]. Garg, U.K., Kaur, M.P., Sud, D., and Garg, V.K., (2009). “Removal of hexavalent chromium from aqueous solution by adsorption on treated sugarcane bagasse using response surface methodology approach”, Desalination, Vol. 249, pp. 475-479.

[30]. Sahu, J.N., Acharya, J., and Meikap, B.C., (2009). “Response surface modeling and optimization of chromium (VI) removal from aqueous solution using tamarind wood activated carbon in batch process”, J.Hazard.Mater, Vol.172, pp.818-825.

[31]. Salamatinia, B., Zinatizadeh, A.A., Kamaruddin, A.H., and Abdullah, A.Z., (2006). “Application of response surface methodology for the optimization of Cu and Zn removals by sorption on Pre-treated oil palm Frond”, Iranian Journal of Chemical Engineering, Vol. 3, pp. 73- 84.

[32]. Guaracho, V.V., Kaminari, N.M.S., Ponte, M.J.J.S., and Ponte, H.A., (2009). “ Central composite experimental design applied to removal of lead and nickel froms”, J.Hazard.Mater., Vol.172, pp. 1087-1092. 291-301.

[33]. Pillai, M.G., Regupathi, I., Kalavathy, M.H., Murugesan, T., and Miranda, L.R., (2009). “Optimization and analysis of nickel adsorption on microwave irradiated rice husk using response surface methodology”, J. Chemical Technology and Biotechnology, Vol.84, pp.

[34]. Sahu, J.N., Acharya, J., and Meikap, B.C., (2010). “Optimization production conditions for activated carbons from Tamarind wood by zinc chloride using response surface methodology”, Bioresour. Technol., Vol.101, pp. 1974-1982.

[35]. Garg, U.K., Kaur,M.P., Garg, V.K., and Sud, D., (2008). “Removal of Nickel(II) from aqueous solution by adsorption on agricultural waste biomass using a response surface methodological approach”, Bioresour. Technol., Vol.99, pp. 1325-1331.

[36]. Kalavathy, M.H., Regupahi, I., Pillai, M.G., and Miranda, L.R., (2009). “Modeling analysis and optimization of adsorption parameters for H3PO4 activated rubber wood saw dust using response surface methodology”, Colloids and Surface B: Biointerfaces, Vol.70, pp. 35-45.

[37]. Enes Sayan, (2006). “Ultrasound assisted preparation of activated carbon from alkaline impregnated hazelnut shell: an optimization study on removal of Cu(II) from aqueous solution”, Chem. Engg. J., Vol.115, pp. 213-218.

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Research Paper

Exergy, Exergy Destruction Rate and Exergy Efficiency Analysis of Thermal Power Plants by a Computer Software at Various Operating Conditions

Ankur Geete*

Associate Professor, Department of Mechanical Engineering, Sushila Devi Bansal College of Technology, Indore, Madhya Pradesh, India.

Geete, A. (2015). Exergy, Exergy Destruction Rate and Exergy Efficiency Analysis of Thermal Power Plants by Computer Software at Various Operating Conditions. i-manager’s Journal on Future Engineering and Technology, 11(1), 8-22. https://doi.org/10.26634/jfet.11.1.3655

Abstract

This research work is based on coal fired thermal power plant. Component wise exergy, exergy destruction rates and exergy efficiencies are evaluated for the power plant. The component/device which has higher exergy, higher exergy destruction rate or which has lower exergy efficiency is identified. This work can be analyzed by manual calculations, but this method is hectic and also has chance of human error. So a computer software is designed for component wise analysis at various operating conditions. This software is also used to analyze exergy, exergy destruction rate and exergy efficiency for other coal fired thermal power plants. This work can be concluded as, maximum exergy destruction occurs in boiler for both plants, and maximum second law efficiency is achieved in steam turbine. Therefore, when amount of fuel used in the boiler increases, the exergy destruction rate increases and second law efficiency decreases. Effects of different ambient temperatures on the performance of the plants are observed, and for condenser, if mass flow rate of circulating water increases then the exergy destruction rate decreases and second law efficiency increases.

References

[1]. Yadav R., (2009). Steam and Gas Turbine and Power Plant Engineering, 7th ed., Central Publishing House, Allahabad, pp.58-60.

[2]. Nag P. K., (2009). Engineering Thermodynamics, 3rd ed., Tata Mcgraw Hill, New Delhi, pp.192-194.

[3]. Cotton K. C., (1993). Evaluating & Improving Steam Turbine Performance, 2nd ed., Cotton Fact Inc. Rexford, NY 12148 USA.

[4]. BHEL, (2010). “Document from Steam turbine engineering department, STE Department”, BHEL, Bhopal, Madhya Pradesh.

[ 5 ] . C e n g e l Y. A . , a n d M i c h a e l A . , ( 2 0 0 6 ) . Thermodynamics an engineering approach, 2nd ed., New Delhi: Tata McGraw Hill.

[6]. Kaushik S. C., Reddy Siva V., and Tyagi S. K., (2011). “Energy and Exergy analyses of Thermal Power Plants : A Review”, International Journal of Renewable and Sustainable Energy Reviews, Vol.15, pp.1857-1872.

[7]. Guoqiang Lv., Hua Wang, Wenhui Ma, and Chunwei Yu, (2011). “Energy and Exergy Analysis for 300 MW Thermal System of Xiaolongtan Power Plant”, Proceedings of the 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, pp.180-184.

[8]. Ehsan Amirabedin, and Yilmazoglu M. Zeki, (2011). “Design and Exergy Analysis of a Thermal Power Plant Using Different Types of Turkish Lignite”, International Journal of Thermodynamics (IJoT), Vol.14, No.3, pp.125-133.

[9]. Vosough Amir, (2012). “Improving Steam Power Plant E f f i c i e n c y t h r o u g h E x e r g y A n a l y s i s : A m b i e n t Temperature”, 2nd International Conference on Mechanical, Production and Automobile Engineering (ICMPAE'2012), Singapore, pp 209-212.

[10]. Mali D. Sanjay, and Mehta N. S., (2012). “Easy Method of Exergy Analysis For Thermal Power Plant”, International Journal of Advanced Engineering Research and Studies (IJAERS), Vol.1, No.3, ISSN 2249–8974, pp.245- 247.

[11]. Sachdeva Bala Kiran, and Karun, (2012). “Performance Optimization of Steam Power Plant Through Energy and Exergy Analysis”, International Journal of Current Engineering and Technology, Vol.2, No.3, pp.285-289.

[12]. Geete A., and Khandwawala A. I., (2013). “Thermodynamic Analysis of 120MW Thermal Power Plant with Combined Effect of Constant Inlet Pressure (124.61 bar) and Different Inlet Temperatures”, Case Studies in Thermal Engineering, Vol.1, No.1, pp.17-25.

[13]. Geete A., and Khandwawala A. I., (2014). “Exergy Analysis for 120MW Thermal Power Plant with Different Inlet Temperature Conditions”, International Journal of Research in Engineering and Technology, Vol.2, No.1, pp.21-30.

[14]. Geete A., and Khandwawala A. I., (2014). “Exergy Analysis For 120mw Thermal Power Plant With Different Inlet Pressure Conditions And Generate Exergy Outlet Curves For Different Components”, Asian Academic Research Journal of Multidisciplinary, Vol.1, No.18, pp.234-247.

[15]. Geete A., and Khandwawala A. I., (2013). “Exergy Analysis of 120 MW Thermal Power Plant With Different Condenser Back Pressure and Generate Correction Curves”, International Journal of Current Engineering and Technology, ISSN 2277-4106, Vol.3, No.1, pp.164-167.

[16]. Steven H., (2000). Visual Basic 6.0 Programming Black Book, 1st ed., Dreamtech Press publication.

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Research Paper

Design and Fabrication of Solar Cylindrical Trough Collector with Parabolic Shape

Ramanjaneyulu* , M. Peeraiah, M. Tirupathaiah*, M. Chandra Sekhara Reddy****

Adhoc Lecturer, Department of Mechanical Engineering, Y. V. University, Proddatur, India..

Associate Professor, Department of Mechanical Engineering, S.V. College of Engineering, Tirupati, India.

Assistant Professor, Department of Mechanical Engineering, Annamacharya Institute of Technology, Rajampeta, India.

**** HOD, Department of Mechanical Engineering, S.V. College of Engineering, Tirupati, India.

Ramanjaneyulu, Peeraiah, M., Tirupathaiah , M., and Reddy, M. C. S. (2015). Design and Fabrication of Solar Cylindrical Trough Collector with Parabolic Shape. i-manager’s Journal on Future Engineering and Technology, 11(1), 23-31. https://doi.org/10.26634/jfet.11.1.3656

Abstract

Solar Energy is the major source of energy, and utilization of it requires solar collectors. A device generally called solar concentrator is used. Concentration of solar energy can be done by using either reflecting or refracting elements, which are so positioned that, solar flux is directed on the absorber. With the help of a flat plate collector, it is possible to get temperature around 100^oC to heat liquids or gasses. There are several processes operating at much above 100^oC, where high energy is required. This can be achieved by using concentrating collectors. Solar parabolic trough collector is currently used for the generation of electricity and applications with relatively higher temperatures. Parabolic trough collectors are typically operated at temperatures above 250 ^oC. An attempt is made in this project to develop a parabolic trough collector for water heating more effectively as compared to the flat plate collector. Thermal analysis procedure of a solar parabolic trough collector design starts with the selection of certain parameters such as aperture area and diameter of receiver to obtain the geometric concentration. In this investigation, experimentation is based on varying concentration. An experimental parabolic trough collector with aperture 1.2 m, focal height 0.3 m and trough length 3 m is constructed. A G.I pipe having inner diameter of 25.4 mm and outer diameter of 28 mm placed at the focal axis is used as receiver.

References

[1]. Sukhatme S.P., (2007). Principles of Thermal Collection And Storage, McGrawHill, New Delhi.

[2]. Sambo, A.S., (2005). “Renewable Energy for Rural Development : the Nigerian Perspective”, Proceedings of the ISESCO Science and Technology Vision, Vol.1, pp.12- 22.

[3]. Sagade et al., (2013). “Performance evaluation of low-cost FRP parabolic trough reflector with mild steel receiver ”, International Journal of Energy and Environmental Engineering, pp 3-8,

[4]. Valan Arasu, A. Sornakumar, T., (2007). “Design, manufacture and testing of fiberglass reinforced parabola trough for parabolic trough solar collectors”, Sol. Energy., Vol. 81(10), pp. 1273-1279

[5]. Ruby, Steve, (2012). “Industrial Process Steam Generation Using Parabolic Trough Solar Collection”, California Energy Commission, American Energy Assets, California L.P., Publication number: CEC-500-2011-040.

[6]. Qu. M., Archer D.H. and Masson S.V. (2006). “A linear Parabolic Trough Solar Collector Performance Model”, Renewable Energy Resources and a Greener Future, Vol.VIII-3-3, USA.

[7]. Brooks, M.J., Mills, I and Harms, T.M., (2006). “Performance of a parabolic trough solar collector”, Journal of Energy in Southern Africa, Vol.17, page.71-80, Southern Africa.

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Research Paper

Mango Fruit Inspection Technique through Machine Vision System

Abarna J* , Arockia Selvakumar A.**

* Post Graduate, VIT University, Chennai, India.

** Associate Professor, VIT University, Chennai, India.

Abarna, J., and Selvakumar, A. A. (2015). Mango Fruit Inspection Technique through Machine Vision System. i-manager’s Journal on Future Engineering and Technology, 11(1), 32-36. https://doi.org/10.26634/jfet.11.1.3657

Abstract

In recent days, machine vision based system has become important for many areas even in Agricultural fields and Food industry. In this paper, an automatic machine vision based system for sorting of the mango fruit based on their colour and size has been developed. The proposed machine vision system is aimed to replace the manual based technique for sorting of fruit, as the manual inspection tend to make problems in maintaining consistency and uniformity in sorting. To maintain the consistency, uniformity, accuracy as well as to speed up the process, a machine vision based system is used in mango sorting. Mango fruits size and colour are analyzed using Caliper and Match colour functions. Based on the simulation results, this mango sorting technique is found to be faster, effective and intelligent.

References

[1]. Nandi, C. S., B. Tudu, and C. Koley, (2014). "Machine Vision Based Techniques for Automatic Mango Fruit Sorting and Grading Based on Maturity Level and Size", In Sensings Technology: Current Status and Future Trends II, pp. 27-46. Springer International Publishing, 2014.

[2]. Vilas D. Sadegaonkar, and Kiran H. Wagh, (2013). “Quality Inspection and Grading of Mangoes by Computer Vision and Image Analysis”, Journal of Engineering Research and Applications, ISSN: 2248- 9622, Vol.3, No.5, Sep-Oct 2013, pp.1208-1212.

[3]. Chhabra, Manish, Abhishek Gupta, Prateek Mehrotra, and Smarti Reel, (2012). "Automated Detection of Fully and Partially Riped Mango by Machine Vision", In Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011), December 20-22, 2011, pp. 153-164. Springer India, 2012.

[4]. Mahendran, R., (2012). "Application of computer vision technique on sorting and grading of fruits and vegetables", Journal of Food Processing & Technology (2012).

[5]. Yimyam, Panitnat, Thanarat Chalidabhongse, Panmanas Sirisomboon, and Suwanee Boonmung, (2005). "Physical properties analysis of mango using computer vision", In Proceeding of ICCAS, 2005.

[6]. Khoje, Suchitra, and Shrikant Bodhe, (2013). "Comparative Performance Evaluation of Size Metrics and Classifiers in Computer Vision based Automatic Mango Grading", International Journal of Computer Applications, Vol. 61, No. 9 , pp. 1-7.

[7]. Ganiron J.R, and Tomas U., (2014). "Size Properties of Mangoes using Image Analysis", International Journal of Bio-Science and Bio-Technology, Vol.6, No.2, pp.31-42.

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Case Study

Statistical Analysis of Stream Flow Data for Construction of Flow Duration Curve Using Empirical Method - A Case Study

N. Vivekanandan*

Assistant Research Officer, Central Water and Power Research Station, Pune, Maharashtra, India.

Vivekanandan, N. (2015). Statistical Analysis of Stream Flow Data for Construction of Flow Duration Curve Using Empirical Method - A Case Study. i-manager’s Journal on Future Engineering and Technology, 11(1), 37-41. https://doi.org/10.26634/jfet.11.1.3658

Abstract

Flow Duration Curve (FDC) is an important tool for various water related applications like hydro power generation, planning and design of irrigation systems, management of stream-pollution, river and reservoir sedimentation. Whenever adequate length of recorded data is not available, the FDC can be constructed to analyze the available stream flow data at the site. FDC provides the percentage of time (duration), a (monthly or seasonal) stream flow is exceeded over a recorded period for a particular river or stream. In this paper, statistical analysis is carried out to determine the series characteristics of stream flow data recorded at Farakka feeder canal. The stream flow data series for the months of March, April and May is independently used to construct FDCs for the respective months using empirical method. The study suggests that the dependable flow at different percentage levels viz., 75%, 90% and 100% obtained from FDCs can be used for planning of irrigation, hydro-power and drinking water projects in Farakka feeder canal.

References

[1]. Abdulwahab, M.Y., and Ihsan, F.H., (2014). “Prediction of Flow Duration Curve for Seasonal Rivers in Iraq”, Jordan Journal of Civil Engineering, Vol.8(1), pp.29- 42.

[2]. Castellarin, A., Camorani, G., and Brath, A., (2007). "Predicting Annual and Long-term Flow-Duration Curves in Ungauged Basins", Advances in Water Resources, Vol.30,(4), pp.937-953.

[3]. Demuth, S., and Young, A.H., (2004). "Hydrological Drought Processes and Estimation Methods for Streamflow and Groundwater”, Developments in Water Sciences, Vol.48, pp.307-343.

[4]. Ganora, D., Claps, P., Laio, F., and Viglione, A., (2009). "An Approach to Estimate Non-parametric Flow Duration Curves in Ungauged Basins", Water Resources Research, Vol.45, Paper No.W10418.

[5]. Kottegoda, N.T., and Rosso, R., (2004). Statistics, Probability, and Reliability for Civil and Environmental Engineers”, McGraw-Hill Co., International Edition.

[6]. Mahmoud, Y.M., (2008). "Prediction of Daily Flow Duration Curves and Streamflow for Ungauged Catchments Using Regional Flow Duration Curves", Hydrological Sciences Journal, Vol.53(4), pp.706-724.

[7]. Post, D., (2004). "A New Method for Estimating Flow Duration Curves: An Application to the Burdekin River Catchment, North Queensland, Australia", Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society, University of Osnabrück, Germany, pp.1195-2000.

[8]. Smakhtin, V., and Yu., (2000). “Estimating daily flow duration curves from monthly streamflow data”, Water SA Journal, Vol. 26 (1), pp.13-18.

[9]. Smakhtin, V., Yu., and Masse, B., (2000). “Continuous daily hydrograph simulation using duration curves of a precipitation index”, Hydrological Processes, Vol. 14(6), pp.1083-1100

[10]. Smakhtin, V., and Yu., (2001). “Low Flow Hydrology: A Review", Journal of Hydrology, Vol. 240 (3 & 4), pp.147- 186.

[11]. Yasar, M., and Baykan, N.O., (2013). "Prediction of Flow Duration Curves for Ungauged Basins with Quasi- Newton Method", Journal of Water Resource and Protection, Vol.5(1), pp.97-110.

[12]. Holmes, M., Young, A., Gustard, A., and Grew, R., (2002). “A region of influence approach to predicting flow duration cur ves within ungauged catchments”, Hydrology and Earth System Sciences, Vol.6(4), pp.721- 731.

i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 19 Issue 1

Most Read

Most Cited

Volume 11 Issue 1 August - October 2015

Central Composite Design for Optimization of Chromium (VI) Removal from Aqueous Solution Using Low Cost Adsorbent

D. Krishna* , D.V. Padma**

*-** Department of Chemical Engineering M.V.G.R. College of Engineering, Vizianagaram, Andhra Pradesh, India

Krishna, D., and Padma, D.V. (2015). Central Composite Design for Optimization of Chromium (VI) Removal from Aqueous Solution Using Low Cost Adsorbent. i-manager’s Journal on Future Engineering and Technology, 11(1), 1-6. https://doi.org/10.26634/jfet.11.1.3654

Abstract

References

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Exergy, Exergy Destruction Rate and Exergy Efficiency Analysis of Thermal Power Plants by a Computer Software at Various Operating Conditions

Ankur Geete*

Associate Professor, Department of Mechanical Engineering, Sushila Devi Bansal College of Technology, Indore, Madhya Pradesh, India.

Geete, A. (2015). Exergy, Exergy Destruction Rate and Exergy Efficiency Analysis of Thermal Power Plants by Computer Software at Various Operating Conditions. i-manager’s Journal on Future Engineering and Technology, 11(1), 8-22. https://doi.org/10.26634/jfet.11.1.3655

Abstract

References

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Design and Fabrication of Solar Cylindrical Trough Collector with Parabolic Shape

Ramanjaneyulu* , M. Peeraiah**, M. Tirupathaiah***, M. Chandra Sekhara Reddy****

Ramanjaneyulu, Peeraiah, M., Tirupathaiah , M., and Reddy, M. C. S. (2015). Design and Fabrication of Solar Cylindrical Trough Collector with Parabolic Shape. i-manager’s Journal on Future Engineering and Technology, 11(1), 23-31. https://doi.org/10.26634/jfet.11.1.3656

Abstract

References

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Mango Fruit Inspection Technique through Machine Vision System

Abarna J* , Arockia Selvakumar A.**

* Post Graduate, VIT University, Chennai, India. ** Associate Professor, VIT University, Chennai, India.

Abarna, J., and Selvakumar, A. A. (2015). Mango Fruit Inspection Technique through Machine Vision System. i-manager’s Journal on Future Engineering and Technology, 11(1), 32-36. https://doi.org/10.26634/jfet.11.1.3657

Abstract

References

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Statistical Analysis of Stream Flow Data for Construction of Flow Duration Curve Using Empirical Method - A Case Study

N. Vivekanandan*

Assistant Research Officer, Central Water and Power Research Station, Pune, Maharashtra, India.

Vivekanandan, N. (2015). Statistical Analysis of Stream Flow Data for Construction of Flow Duration Curve Using Empirical Method - A Case Study. i-manager’s Journal on Future Engineering and Technology, 11(1), 37-41. https://doi.org/10.26634/jfet.11.1.3658

Abstract

References

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Ramanjaneyulu* , M. Peeraiah, M. Tirupathaiah*, M. Chandra Sekhara Reddy****

* Post Graduate, VIT University, Chennai, India.

** Associate Professor, VIT University, Chennai, India.