@Research Paper
<#LINE#>Effect of Micro Silica on The Strength of Concrete with Ordinary Portland Cement<#LINE#>Ajay@Verma,Rajeev@Chandak,R.K.@ Yadav <#LINE#>1-4<#LINE#>1.ISCA-JEngS-2012-010.pdf<#LINE#> Structural Engineering Department, Jabalpur Engineering College, Jabalpur, MP, INDIA @ Civil Engineering Department, Jabalpur Engineering College, Jabalpur, MP, INDIA<#LINE#>2/6/2012<#LINE#>10/6/2012<#LINE#>  Concrete is the most important engineering material and the addition of some other materials may change the properties of concrete. With increase in trend towards the wider use of concrete for prestressed concrete and high rise buildings there is a growing demand of concrete with higher compressive strength. Mineral additions which are also known as mineral admixtures have been used with cements for many years. There are two tpes of materials crystalline and non crystalline. Micro silica or silica fume is very fine non crystalline material. Silica fume is produced in electric arc furnace as a by product of the production of elemental silicons or alloys containing silicon. IT is usually a gray coloured powder somewhat similar to portland or some fly ashes silica fume is generally categorized as a supplymentry cementitious material. Silica fume or micro silica was initially vied as cement rplacement material and in some area it is usually used as replaced by much smaller quantity of silica fume micro silica may be used as pozzolanic admixtures. Admixture is defined as a material other than cement water and aggregate that is used as ingredient of concrete and is added to the batch immediately before or during mixing. Pozzolanic admixtures are siliceous or aluminous material which is themselves posses little or no cementitious value but will in finely divided form and in the presence of water chemically react with calcium hydroxide liberated on hydration at ordinary temperature to form compounds possessing cementitious properties. In our experiment we are using micro silica as a artificial pozzolans. We are adding 0%, 5%, 10%, 15% by wt of cement in concrete. <#LINE#> @ @ Silica fume manual by Oriental Trexim Pvt. Ltd. (2003) @No $ @ @ Shetty M.S., Concrete Technology, S. Chand and Company Pvt Ltd. New Delhi, India (1999) @No $ @ @ Ha-Won Song, Seung-Woo Pack, Sang-Hyeok Nam, Jong-Chul Jang and Velu Saraswathy, Estimation of the permeability of silica fume cement concrete,Construction and building material, 24, 315-321 (2010) @No $ @ @ Abdullah A. Almusallam, Hamoud Beshr, Mohammed Maslehuddin and Omar S.B. Al-Amoudi, Effect of silica fume on the mechanical properties of low quality coarse aggregate concrete, Cement and Concrete Composites, 26,891–900 (2004) @No $ @ @ IS 456-2000 Plain and reinforced concrete code of practice (2000) @No $ @ @ Krishna M.V., Rao P., Kumar Ratish and Khan Azhar M., A study on the influence of curing on the strength of a standard grade concrete mix, Architecture and Civil Engineering,8(1), 23–34 (2010) @No $ @ @ Bhanjaa S. and Sengupta B.,Influence of silica fume on the tensile strength of concrete, Cement and Concrete Research, 35, 743–747 (2005) @No $ @ @ IS 10262 -2009Indian Standardrecommended guide lines for concrete mix design (2009) @No $ @ @ IS 383-1970 code for properties of aggregates (1970) @No $ @ @ ACI report  234R-96 (2000) @No
<#LINE#>Identification of Formation Scale and Modeling of Treatment Fluid<#LINE#>G.A.@Azeta,O.F.@Joel,A.S.@Kinigoma<#LINE#>5-10<#LINE#>2.ISCA-JEngS-2012-017.pdf<#LINE#> Department of Petroleum and Gas Engineering, Faculty of Engineering, University of Port Harcourt, NIGERIA<#LINE#>5/6/2012<#LINE#>11/6/2012<#LINE#>  The formation of mineral scales is one of the most common problems in oil wells around the world and despite great technological developments by engineers, this problem remains without an effective solution. Scale may form anywhere from the reservoir formation to the well bore; affecting tubing, choke valve and production equipment. This work was undertaken to experimentally identify the composition of mineral scales that occur in a typical Niger Delta oilfield well location. Three methods were used in the analysis; The quantitative, atomic absorption spectrometer (AAS) and X-ray fluorescence (XRF) spectrometric testing equipment. Scale samples from production valves were collected from two fields in Niger Delta. Test results indicated that the main constituents of the scale were iron oxide, calcium carbonate and iron carbonate, typical of sandstone and carbonate reservoirs found in the Niger Delta. Though 15% HCl was faster than 10% HCL in dissolving the scales, 10% HCl with corrosion inhibitor is recommended for field application to avoid intense corrosion of pipes, valves and tubing used in the production lines. Results validated from the model equation indicated a high level of accuracy with less than 2% accuracy, hence,  could  be used to predict the optimum time and concentration of HCL without going through rigorous laboratory testing protocols, thereby, serving operation time and cost.<#LINE#> @ @ Todd C.A. and Yuan D.M., Barium and Strontium Sulfate Solid-Solution Formation in Relation to North Sea Scaling Problems, SPE Production Engineering, 279–285 (1990) @No $ @ @ Joel O.F., Adesanya A.A and Ajienka J.A., Causes and Preventive Management of Scale Formation in Oilfield Systems: A Review; Intr. J. Natural and Appl Sci,, 7(3),269–274 (2011) @No $ @ @ Ahmed J.S., Laboratory Study on Precipitation of Calcium Sulphate in Berea Sand Stone Cores, King Fahd University of Petroleum and Minerals: M.E. Thesis, 5-9 (2004) @No $ @ @ Nengkoda A., Integrated Water Chemistry Study to Support Oil field development scenario, Journal of the Indonesian Oil and Gas Community,, 1829 – 9466 (2006) @No $ @ @ Manimaran N., Rajendran S. and Manivannan et al., Corrosion Inhibition of Carbon Steel by Polyacrylamide, Res. J. Chem. Sci., 2(3), 52-57 (2012) @No $ @ @ Joel O.F., Design of field Application of drilling cementing and stimulation fluids, Chi Ikoku Petroleum Engineering Series, IPS Publications. University of Port Harcourt, 155-159 (2010) @No $ @ @ Joel O.F.and Ajienka J.A., Identification of Formation Scales and Designing of Compatible Matrix Acidizing Fluid SystemsIntr. J. Natural and Appl Sci, 5(4), 329-333 (2009) @No $ @ @ Gdanski R., Essential Acidizing Principles, Production Enhancement Handbook, Copyright(c), Paper Number 109818- MS (2009) @No $ @ @ Tripathi R., Chaturvedi A. and Upadhayay R.K., Corrosion Inhibitory Effects of Some Substituted Thiourea on Mild Steelin Acid Media, Res. J. Chem. Sci., 2(2), 18-27 (2012) @No $ @ @ Kumpawat Nutan, Chaturvedi Alok and Upadhyay R.K., Corrosion Inhibition of Mild Steel by Alkaloid Extract of Ocimum Sanctum in HCl and HNO3 SolutionRes. J. Chem. Sci.,2(5), 51-56 (2012) @No $ @ @ Kumar H. and Saini V.DAPA, EA, TU and BI as Vapour Phase Corrosion Inhibitors for Mild Steel under Atmospheric Conditions, Res. J. Chem. Sci., 2(2), 10-17 (2012) @No $ @ @ Manivannan M. and Rajendran S.,Corrosion Inhibition of Carbon steel by Succinic acid – Zn2+ system, Res. J. Chem. Sci., 1(8), 42-48 (2011) @No $ @ @ Quarishi M.A., Rawat J. and Ajmal M., Corros, its control, Proc. Int Conf. Corros., 2, 634 (1997) @No $ @ @ Shibad P.R. and Adhe K.N., Electrochem J. Sec.(India), 30, 103 (1981) @No
<#LINE#>Development and Properties of Self Compacting Concrete Mixed with Fly Ash<#LINE#>Krishnapal@Prajapati, Rajeev@Chandak  ,SanjayKumar@Dubey<#LINE#>11-14<#LINE#>3.ISCA-JEngS-2012-025.pdf<#LINE#>Civil Engineering Department, Jabalpur Engineering College, Jabalpur, MP, INDIA  <#LINE#>17/6/2012<#LINE#>19/6/2012<#LINE#>  Self compacting concrete is one of "the most revolutionary developments" in concrete research; this concrete is able to flow and to fill the most restacked places of the form work without vibration. There are several methods for testing its properties in the fresh state: the most frequently used are slump flow test, L box and V funnel. This work presents properties of self compacting concrete, mixed with fly ash. The test results for acceptance characteristics of self-compacting concrete such as slump flow; V-funnel and L-Box are presented. Further, compressive strength at the ages of 7, 28 days was also determined and results are included here. <#LINE#> @ @ Nagamoto N. and Ozawa K., Mixture properties of Self-Compacting, High-Performance Concrete, Proceedings, Third Canmet/ACI International Conferences on Design and Materials and Recent Advances in Concrete Technology, SP-172, V.M. Malhotra, American Concrete Institute, Farmington Hills, Mich., 623-637 (1997) @No $ @ @ Khayat K.H. and Ghezal A., Utility of Statistical models in Proportioning Self-Compacting Concrete,Proceedings, RILEM International symposium on Self-Compacting Concrete, Stockholm,  345-359 (1999) @No $ @ @ Okamura H. and Ozawa K., Mix Design for Self-Compacting Concrete, Concrete Library of Japanese Society of Civil Engineers, 107-120 (1995) @No $ @ @ IS: 8112-1989, Specifications for 43 grade Portland cement, Bureau of Indian Standards, New Delhi, India (1989) @No $ @ @ IS: 3812-2003, Specifications for Pulverized fuel ash, Bureau of Indian Standards, New Delhi, India (2003) @No $ @ @ IS: 383-1970, Specifications for Coarse and Fine aggregates from Natural sources for Concrete, Bureau of Indian Standards, and New Delhi, India (1970) @No $ @ @ Nagataki S. and Fujiwara H., Self-Compacting property of Highly-Flowable concrete, Second Conference on advances in Concrete Technology, ACI SP-154,V.M. Malhotra, American Concrete Institute, 301-304 (1995) @No $ @ @ EFNARC (European Federation of national trade associations representing producers and applicators of specialist building products), Specification and Guidelines for self-compacting concrete, Hampshire, UK (2002) @No $ @ @ Khayat K.H., Manai K., Lesbetons autonivlants: proprietes, charcterisation et applications, colloque sur les betons autonivlants, Universite de Sherbroke, Canada, November (1996) @No $ @ @ Petersson O., Billberg P. and Van B.K., A model for Self-Compacting Concrete, Proceedings of Production Methods and Workability of Concrete, E and FN Span, 483-492(1996) @No
<#LINE#>Parametric Study of a Phase Separator used in A/C Automotive System using CFD Tool<#LINE#>RajR.@ThundilKaruppa,Alen@Jose,AjoJohn@Thomas,James@Mathew<#LINE#>15-21<#LINE#>4.ISCA-JEngS-2012-042.pdf<#LINE#> School of Mechanical and Building Sciences, VIT University, Vellore-632014, Tamil Nadu, INDIA<#LINE#>24/7/2012<#LINE#>15/8/2012<#LINE#>  The air conditioning system used in automobiles uses oil which lubricates the moving part of the compressor. Excess presence of the lubricant oil in the compressor will cause a hindrance to flow inside the condenser and evaporator which will affect the heat transfer efficiency of the system. The oil is separated at the downstream of the compressor using centrifugal/ impinging on the refrigerant gas flow. The oil exists in the form of droplets in a secondary phase. The main requirement for a good design of the phase separator is to have maximum oil separation with minimum pressure drop of the refrigerant gas. The numerical simulation is carried out using Multiphase Mixture model.  <#LINE#> @ @ Changdong Wan, Caifen Guo.  Analysis and Optimization for Oil-gas Separator of Automotive Air Conditioning Compressor, International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), 1943-1946, IEEE(2011) @No $ @ @ Bose1 P.K., Roy K., Mukhopadhya N. and Chakraborty R.K., Improved Theoretical Modeling of a Cyclone Separator  as a Diesel Soot Particulate Emission Arrester, International Journal of Automotive Technology,11, 110 (2010) @No $ @ @ Alexander R.M., Fundamentals of cyclone design and operation,  Proc. Aust. Inst. Min. Metall., 152/3, 202228 (1949) @No $ @ @ Leith D. and Metha D., Cyclone performance and design. Atmospheric Environment, 527-549 (1973) @No $ @ @ Ishii M., Thermo-fluid Dynamic Theory of Two-phase Flow, Paris: Eyrolles (1975) @No $ @ @ Computational Methods For Multiphase Flow, By Andrea Prosperetti, Grétar Tryggvason, Cmabridge University Press, (ISBN 0521847648) (2007) @No $ @ @ Ishii M. and Mishima K. Two-fluid model and hydrodynamic constitutive relations, Nuclear Engineering and Design, 82, 107-126 (1984) @No $ @ @ Drew D.A. and Lahey R.T., Application of general constitutive principles to the derivation of multidimensional two-phase flow equations, Int. J. Multiphase Flow, , 243-264 (1979) @No $ @ @ Tiberiu Barbat, Kanwal Bhatia and Srinivas Pitla, CFD Study of Phase Separators in A/C Automotive Systems, SAE Paper: 2003-01-0736 (2003) @No $ @ @ Cloete S., Johnasen S. and Braun M., Evaluation of a Lagrangian Discrete Phase Modeling Approach for Resolving Cluster Formation in CFB Risers,  7thInternational Conference on Multiphase Flow (2010) @No $ @ @ Fluent User Guide  (2010) @No $ @ @ Dr.-Ing. Roland Schmidt, Dr. rer. nat. Günther Klingenberg, Dr.-Ing. Mathias Woydt, New lubrication concepts for environmental friendly machines, Research Report Forschungsbericht 277 (2006) @No $ @ @ Steven Brown J., Samuel F. Yana-Motta, Piotr A. Domanski, Comparitive analysis of an automotive air conditioning systems operating with CO and R134a, International Journal of Refrigeration, 25, 19–32 (2002) @No $ @ @ International Institute of Refrigeration, Thermophyscal properties of refrigerants: R134a, France (2002) @No $ @ @ Renganathan Manimaran, Rajagopal Thundil Karuppa Raj and Senthil Kumar K, Numerical Analysis of Direct Injection Diesel Engine Combustion using Extended Coherent Flame 3-Zone Model, Research Journal of Recent Sciences, 1(8), 1 -9 (2012) @No $ @ @ Thundil Karuppa Raj R and Ramsai R, Numerical study of Fluid Flow and effect of inlet pipe angle in catalytic converter using CFD, Research Journal of Recent Sciences, 1(7), 39 - 44 (2012) @No $ @ @ Magarajan U, Thundil Karuppa Raj R and Elango T, Numerical Study on Heat Transfer of Internal Combustion Engine Cooling by Extended Fins using CFD, Research Journal of Recent Sciences, 1(6), 32 - 47 (2012) @No $ @ @ Duraisamy S, Bhaleghare Santosh S, Sundaralingam S, Thundil Karuppa Raj R and Elango T, Optimization of an Exhaust Gas Recirculation Cooler using CFD Technique, ISCA Journal of Engineering Sciences, 1(1), 62 – 67, July (2012) @No
<#LINE#>Mechanical Properties of Plants - Synthetic Hybrid Fibers Composites<#LINE#>Al-Mosawi@AliI.<#LINE#>22-25<#LINE#>5.ISCA-JEngS-2012-045.pdf<#LINE#>  Technical Institute, Babylon, IRAQ<#LINE#>8/8/2012<#LINE#>30/8/2012<#LINE#>  In this paper, mechanical properties of composites reinforced with hybrid Palms - Kevlar fibers were evaluated. The incorporation of both fibers into a single matrix which is epoxy resin will stabilize mechanical properties. Impact strength, tensile strength, flexural strength and hardness were studied for composite material reinforced with hybrid fibers for Palms and Kevlar as a woven roving. These fibers were mixed with epoxy resin LY 556 in different reinforcement percentage (10%, 20%, 30%, 40%, 50%, 60%, 70%, and 80%) and the effect on the above mechanical properties was studied. It has shown an enhancement in these mechanical properties after reinforcement by fibers the value of mechanical properties will increase with increasing percentage of reinforcement. <#LINE#> @ @ Madsen Bo, Properties of Plant Fiber Yarn Polymer Composites An Experimental Study, Report BYG, Technical University of Denmark (2004) @No $ @ @ Bhattacharjee C.R., Sharon M. and Nath A., Synthesis of Nano Composites from Plant-based Sources, Res. J. Chem. Sci., 2(2), 75-78 (2012) @No $ @ @ Dixit S. and Verma P., The effect of hybridization on mechanical behaviour of coir/sisal/jute fibres reinforced polyester composite material, Res. J. Chem. Sci. 2(6), 91-93  (2012) @No $ @ @ Jain D. and Kothari A., Hair Fiber Reinforced Concrete, Res. J. Recent. Sci. 1(ISC-2011) @No $ @ @ , 128-133 (2012) @No $ @ @ Al-Mosawi Ali I., Study of Some Mechanical Properties for Polymeric Composite Material Reinforced by Fibers,  Al-Qadisiya Journal For Engineering Science , 2(1) , 14 – 24 (2009) @No $ @ @ Patel Dhirendra, Yadav R.K. and Chandak R., Strength Characteristics of Pre Cast Concrete Blocks Incorporating Waste Glass Powder, ISCA J. Engineering Sci., 1(1), 68-70 (2012) @No $ @ @ Dubey Sanjay Kumar and Chandak Rajeev ,Development of Self Compacting Concrete by use of Portland Pozzolana Cement, Hydrated Lime and Silica Fume, ISCA J. Engineering Sci. 1(1), 35-39 (2012) @No $ @ @ Rao Sathish U. and Rodrigues L.L. Raj, Applying Wear Maps in the Optimisation of machining parameters in drilling of polymer matrix composites – A review , Res. J. Recent Sci. 1(5), 75-82 (2012) @No $ @ @ Monteiro Sergio N., Terrones Luiz Augusto H., Lopes Felipe P.D. and de Almeida Jose Roberto M.,  Mechanical Strength of Polyester Matrix Composites Reinforced With Coconut Fiber Wastes, Revista Materia , 10(4) , 571-576 (2005) @No $ @ @ Kumar Krishan and Aggarwal M.L., A Finite Element Approach for Analysis of a Multi Leaf Spring using CAE Tools, Res. J. Recent Sci., 1(2), 92-96 (2012) @No $ @ @ Dev Nikhil, Attri Rajesh, Mittal Vijay, Kumar Sandeep, Mohit, Satyapal and Kumar Pardeep, Economic and Performance Analysis of Thermal System, Res. J. Recent Sci. 1(4), 57-59 (2012) @No $ @ @ Al-Mosawi Ali I. and Al-Jeebory Abbas A. , Effect of  percentage of  Fibers Reinforcement on  Thermal and Mechanical Properties for Polymeric  Composite Material, The Iraqi Journal for mechanical and materials Engineering , Special Issue, 1st Conference of Engineering College , 70-82 (2009) @No $ @ @ Tandel R.C., Gohil Jayvirsinh and Patel Nilesh K., Synthesis and Study of Main Chain Chalcone Polymers Exhibiting Nematic Phases, Res. J. Recent. Sci., 1(ISC-2011) , 122-127 (2012) @No $ @ @ Abbasi Sarfraz H., P reparation and characterization of polypropylene/palm fiber composites, M. Sc.  thesis ,king Fahd university of petroleum and minerals, Saudi Arabia, (2003) @No $ @ @ Harriette L.B., Jorg M. and Martie J.A., Mechanical properties of short-ax-fiber reinforced compounds, Compos, A 37,1591-1604 (2006) @No
<#LINE#>Assessment of the Methanogen Potential of Water Hyacinth: Effect of Moisture on the Process<#LINE#>O.H.@Hounwanou,M.P.@Aina,D.A.@Tchehouali,F.@Adjahatode,B.@Yao,G.@Matejka<#LINE#>26-31<#LINE#>6.ISCA-JEngS-2012-051.pdf<#LINE#> Laboratoire des Sciences et Techniques de l’Eau (LSTE) de l’Université d’Abomey-Calavi (LSTE /EPAC /UAC) 01 BP 2009 Cotonou, BENIN @ Laboratoire des Procédés Industriels de Synthèse et de l’Environnement de l’Institut National Polytechnique Houphouët-Boigny, BP, 1093 Yamoussoukro, Côte d’Ivoire, FRANCE @ Groupe de recherche Eau sol ’Environnement, Grese, Université de Limoges, FRANCE<#LINE#>21/8/2012<#LINE#>4/9/2012<#LINE#>  In Benin, in wetlands, lakes and rivers are in their majority invaded by water hyacinth which is a threat to the balance of these ecosystems. Indeed, the populations of these areas do not live with an appropriate sanitation. These watercourses have become the receptacles for waste disposal. This study aims, through anaerobic digestion to provide solutions to the risks of this plant, whose proliferation is due to the excessive intake of nutrients (N, P) in these environments. During this study the methanogen potential of this plant and the influence due to the different substrates have been assessed. Thus, the passage in the oven gives a hyacinth dry mass of 4.72% or a moisture content of 95.28%. Experiments conducted in the laboratory when testing BMP have revealed that moisture could be a limiting factor in the process if the optimum volume of water to add for the hydrolysis stage were not determined accurately. In addition to this test, the implemented platform of anaerobic digestion has contributed, from the volumes of biogas obtained to validate the model Merazas close as the actual production of biogas. <#LINE#> @ @ Holm L.G., Plucknett D.L., Pancho J.V. and Herberger J.P., The world’s Worst Weeds, Distribution and biology, University Press of Hawaï, Honolulu, 609 (1977) @No $ @ @ Gopal B., Water hyacinth. Elsevier, Oxford, 471 (1987) @No $ @ @ Almoustapha O., Millogo-Rasolodimby J. and Kenfack S., Production de biogaz et de compost à partir de la jacinthe d’eau pour  un développement durable en Afrique Sahélienne, 8(1)(2008) @No $ @ @ Kehila Y., Aina M., Mezouari F., Matejka G. and Mamma D., Quelles perspectives pour l’enfouissement technique et le stockage éco-compatible des résidus solides dans les PED vis-à-vis des impacts sur l’hydrosphère urbaine ? Actes des JSIRAUF, Hanoi, 6-9 (2007) @No $ @ @ Bouallagui H., Haouari O., Touhami Y., Ben Cheikh R., Marouani L., Hamdi M. Effect of temperature on the performance of an anaerobic tubular reactor treating fruit and vegetable waste, Process Biochemistry, 39, 2143-2148, (2003) @No $ @ @ Romano R.T. and Zhang R. Co-digestion of onion juice and wastewater sludge using an anaerobic mixed biofilm reactor, Bioresource Tech., 99, 631-637 (2007) @No $ @ @ Converti A., DelBorghi A., Zilli M., Arni S. and DelBorghi M., Anaerobic digestion of the vegetable fraction of municipal refuses: mesophilic versus thermophilic conditions, Bioprocess Eng, 21, 371-376 (1999) @No $ @ @ Ambulkar A.R. and Shekdar A.V., Prospects of biomethanation technology in the Indian context: a pragmatic approach, Resources, Conservation and Recycling, 40, 111-128 (2004) @No $ @ @ Axaopoulos Petros, Panagakis Panos Energy and economic analysis of biogas heated livestock buildings Biomass and Bioenergy, 24, 239–248 (2003) @No $ @ @ Hashimoto A.G., Methane from cattle waste: effects of temperature, hydraulic retention time, and influent substrate concentration on the kinetic parameter (K), Biotechnology and Bioengineering, 24, 2039-2052 (1984) @No $ @ @ Zennaki-Bensouda Z., Zaid A., Lamini H., Aubineau M. and Boulif M., Fermentation méthanique des déchets de bovins: étude du temps de rétention, de la température et de la concentration en substrat, Tropicultura, 14, 134-140 (1996) @No $ @ @ AINA Martin Pépin. Expertises des centres d’enfouissement techniques de déchets urbains dans les PED : contributions à l’élaboration d’un guide méthodologique et a sa validation expérimentale sur sites. Thèse de doctorat de l’Université de Limoges (2006) @No $ @ @ Tchobanoglous G., Theisen H. and Vigil S., Integrated Solid Waste Management, Engineering Principles and Management Issues, Mc Graw Hill, New York (1993) @No $ @ @ Meraz R.L., Vidales A.M. and Dominguez A., A fractal like Kinetics to calculate landfill methane production, Fuel, 83, 73-80 (2004) @No $ @ @ Bouallagui H., Haouari O., Touhami Y., Ben Cheikh. R, Marouani L. and Hamdi M.A., Effect of temperature on the performance of an anaerobic tubular reactor treating fruit and vegetable waste, Process Biochemistry,39, 2143–2148 (2004) @No $ @ @ Demirer G.N. and Chen S., Two-phase anaerobic digestion of unscreened dairy manure, Process Biochemistry, 40,3542–3549 (2005) @No
<#LINE#>Reduction of Pollutant Emission from Two-wheeler Automobiles using Nano-particle as a Catalyst<#LINE#>Mukesh@Thakur,N.K.@Saikhedkar<#LINE#>32-37<#LINE#>7.ISCA-JEngS-2012-057.pdf<#LINE#>Department of Mechanical Engineering, Rungta College of Engineering and Technology, Raipur, Chhattisgarh, INDIA @ Department of Mechanical Engineering, Raipur Institute of Technology, Raipur, Chhattisgarh, INDIA<#LINE#>3/9/2012<#LINE#>7/9/2012<#LINE#>  Today, one of the toughest challenges faced by the mankind is the increasing of pollution at an alarming rate. It is causing an environmental imbalance and contributing to increase in the green house effect. Automobile pollution is the major source of pollution. The majority of the environmental pollution is due to the two-wheeler automobiles due to their large number. There are two methods of control of pollution namely, pre-pollution control and post pollution control. This paper is based on the post pollution control method in two-wheeler automobiles using nano-particle as a catalyst. A study on nano-particle reveals that the ratio of surface area of nano-particle to the volume of the nano-particle is inversely proportional to the radius of the nano-particle. So, on decreasing the radius, this ratio is increased leading to an increased rate of reaction and the concentration of the pollutants is decreased. To achieve this objective, an innovative design of catalytic converter for two-wheeler automobiles is proposed using nano-particle as a catalyst. The proposed method is very effective in the prevention of environmental pollution contributed from two-wheeler automobiles. It involves the use of copper nano-particle which is cheaper than the platinum, palladium and rhodium nano-particles used in automobiles. <#LINE#> @ @ Gilmour P.S., Ziesenis A., Morrison E.R., Vickers M.A., Drost E.M. and Ford I., Pulmonary and systemic effects of short term inhalation exposure to ultrafine carbon black particles, Toxicological Applications Pharmacology, 195, 35–44 (2004) @No $ @ @ Oberdorster G., Gelein R.M., Ferin J. and Weiss B., Association of particulate air pollution and acute mortality: involvement of ultrafine particles, Inhalation Toxicology, , 111–124 (1995) @No $ @ @ Nano-technology at the global level, J. of Nano-particle Research, Kluwer Academic Publ., 3(5-6), 353-360 (2001) @No $ @ @ Samim M., Kaushik N.K. and Maitra A., Effect of size of copper nano-particles on its catalytic behavior in Ullman reaction, Bull. Mater. Sci., 30(5), 535-540 (2007) @No $ @ @ Krishna M.V.S. and Kishore K., Performance of copper coated spark ignition engine with methanol bended gasoline with catalytic converter, Journal of Scientific and Industrial Research, 67, 543-548 (2008) @No $ @ @ Twigg M.V., Roles of catalytic oxidation in control of vehicle exhaust emissions, Catalysis Today, 117(4), 407-418 (2006) @No $ @ @ Ritchie S.M.C., Savage N., Diallo M. and Duncan J., A. Street, Nanotechnology Applications for CleanWater, William Andrew Publication, USA (2009) @No $ @ @ Ferrando R. and Jellinek J., Nano-particles as a catalysts in catalytiv converters, R.L. Johnston, Chem. Rev., 108, 845 (2009) @No $ @ @ Mansoori G.A., Phase Transitions in Small Systems, Proceed Nano Science Technology Workshop, Kashan Univ., (2003) @No $ @ @ Feldheim D.L. and Foss C.A., Metal nano-particles: Synthesis, characterization and applications, Appl. Phys. A Mater. Sci. Process, 78, 22-23 (2008) @No
<#LINE#>Investigation of Superresolution using Phase based Image Matching with Function Fitting<#LINE#>Setiyono@Budi,Hariadi@Mochamad,MauridhiHery@Purnomo<#LINE#>38-44<#LINE#>8.ISCA-JEngS-2012-059.pdf<#LINE#>Department of Mathematics, Sepuluh Nopember Institute of Technology, Surabaya, INDONESIA @ Department of Electrical Engineering, Sepuluh Nopember Institute of Technology, Surabaya, INDONESIA<#LINE#>4/9/2012<#LINE#>11/9/2012<#LINE#>  Higher resolution image provide more detail information, so that it obtain more accurate image analysis. Many areas require high resolution image, such as medical, sensing satellite, image of the telescope and pattern recognition. This research make a process to obtain high resolution images, known as superresolution. This superresolution using a series of images in the same scene as the reference image. Two main stages in the super resolution are the registration and reconstruction. This research propose a composite between Phase-Based Image Matching (PBIM) registration, and reconstruction using structure -  adaptive normalized convolution algorithm (SANC) and projection onto convext sets algorithm (POCs). PBIM was used to estimate translational registration stage. We used the function fitting around the peak point, to obtain sub pixel accurate shift. The results of this registration were used for reconstruction. Two registration method and reconstruction algorithms have been tested to obtain the most appropriate composite by measuring the value of peak signal to noise ratio (PSNR). In determining the effect of registration and reconstruction of objects which have different characteristics, we used some images that contain lots of texture and some other with less texture. The result showed that the composite of PBIM and reconstruction with POCs algorithm has the highest average of PSNR for both characteristics images. Images with lots of texture have PSNR average of 32.1606, while PSNR average of images with less texture was 29.99313. For every collaborative algorithm that has been tested, images with less texture have lower average of PSNR than ones with lots of texture. In this experiment, PBIM registration with function fitting has an average PSNR value of 2.88% higher than the Keren registration. <#LINE#> @ @ Sung Cheol Park, Min Kyu Park and Moon Gi Kang, Super-Resolution Image Reconstruction : A Technical Overview, IEEE Sig. Proc. Magazine, May  (2003) @No $ @ @ Z. Barbara, F Jan, Image registration methods: a survey, Image and Vision Computing, (21), 977–1000 (2003) @No $ @ @ Barreto D. and Alvarez Abad, Motion Estimation Techniques in Super resolution Imager Reconstruction, A Perfomance Evaluation, Virutal observatory: Plate Content Digitization and Image Sequence Processing (2005) @No $ @ @ Kenji Takita and Takashumi Yoshisumi, High-Accuracy Subpixel image Registration Based on Phased Only Corelation, IECE Trans Fund., E86-A (8), (2003) @No $ @ @ Kenji Takita and Muhammad Abdul Muquit, A Sub Pixel Correspondence Search Technique for Computer Vision Applications, IECE Trans Fund.,E87(8), Agustus (2004) @No $ @ @ Hassan F. and Jossiane B.Z., Extension of Phase Correlation to Subpixel Registration, IEEE Trans. on Image Proc., 11(3),  (2002) @No $ @ @ Yi Liang, Phased Correlation motion Estimation, Final Project Stanford University (2000) @No $ @ @ Mannuel G.Z., Thurman Samuel T. and Fienup James R.,  Efficient subpixel image registration algorithms, Opt. Letters33(2), 15 (2008) @No $ @ @ Tiemao, Lin. and Xuyuan Zheng, Super-resolution Reconstruction of MR Image Based on Structure-adaptive Normalized Convolution, ICSP IEEE(2010) @No $ @ @ Tuan Pham., Robust Fusion of Irregularly Sampled Data using AdaptiveNormalized Convolution, EURASIP Journal on App. Sig. Processing(2006) @No $ @ @ Chong Fan, Jianjun Zhu, Jianya Gong and Cuiling Kuang, POCS Super-Resolution Sequence Image Reconstruction Based on Improvement Approach of Keren Registration Method, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) isda, , (2006) @No $ @ @ Hong Yu, Ma Xiang, Huang Hua, Qi Chun, Face Image Super-resolution Through POCS and Residue Compensation, The Institution of Engineering and Technology, (2008) @No $ @ @ BalamuralitharanS. and Rajasekaran S., Analysis of G-CSF Treatment of CN using Fast Fourier Transform, Res. J. Recent Sci.,1(4), 14-21 (2012) @No
<#LINE#>Comparison of Hydrodynamic Behavior of Jet Mixer for Newtonian and Non-Newtonian Fluids<#LINE#>R.@Perumal,K.@Saravanan<#LINE#>45-51<#LINE#>9.ISCA-RJEngS-2012-064.pdf<#LINE#>Dept. of Chemical Engineering, EICT Polytechnic College, Tirupur 638 056, Tamilnadu, INDIA @ Dept. of Chemical Engineering, Kongu Engineering College, Perundurai 638 052, Tamilnadu, INDIA<#LINE#>16/9/2012<#LINE#>22/9/2012<#LINE#>  Mixing is an important, even fundamental, operation in nearly all chemical industries. Mixing can usually be achieved by mechanical mixers and Jet mixers. Each of these mixers may be selected based on the operating and installation cost. However jet mixers are preferred, when compared to conventional mixers because they offer several advantages including lower costs of construction, maintenance and operation. Therefore investigation of effective operational parameters is important. In this article the hydrodynamic behavior of jet mixer was studied for Newtonian and non-Newtonian fluid. Experiments were conducted in a cylindrical tank with the shape factor of H/D=1.2.  Nozzle diameter and nozzle position for the given geometry were optimized. Effect of nozzle diameter on fractional hold up as well as effect of nozzle position on fractional hold up were studied and compared  for Newtonian fluid(tap water) and non-Newtonian fluid(CMC and Guar Gum). From the results, it can be seen that the fractional hold up increases with increase in liquid flow rate for both Newtonian and non-Newtonian fluids. Among the three fluids water shows more holdup than other two fluids at nozzle location 30 cm above the base of the tank for10 mm nozzle. Also the fractional hold up decreases with increase in concentration of the working fluid<#LINE#> @ @ Masoud  Rahini and  Arsalan Parvareh Experimental and CFD investigation on Mixing by a Jet in a semi industrial stirred tank, Chem. Eng,115, 85-92 (2005) @No $ @ @ Patwardhan A.W., CFD Modeling of jet mixed tanks, Chem. Eng Sci, 57, 1307-1318 (2002) @No $ @ @ Zughbi H.D. and Rakib M.A., Mixing in a fluid jet agitated tank: effect of jet angle and elevation and number of Jets, Chem. Eng. Sci, 59, 829-842 (2004) @No $ @ @ Fossett H. and Prosser L.E. The application of free jets to the mixing of fluids in bulk, Journal of Institute Mech. Engrs.,160, 224-232 (1949) @No $ @ @ Fosset H.,The action of free jets to the mixing of fluids, Trans. Instn.Chem. Engrs.,29, 322-332 (1951) @No $ @ @ Kalaichelvi P., Swarnalatha Y. and Raja T., Mixing Time Estimation and Analysis In A Jet Mixer, APRN J Engg and  App Sci,2(5), 35-43 (2007) @No $ @ @ Jayanthi S., Hydrodynamics of Jet mixing in vessels, Chem. Eng. Sci., 56, 193-210 (2001) @No $ @ @ Orfaniotis A., Fonade C., Lalane M. and Doubrovine N., Experimental study of fluidic mixing in a cylindrical reactor, Can. J Chem, Eng., 74, 203-212 (1996) @No $ @ @ Perona J.J., Hylton T.D., Yougblood E.L. and Cummins R.L., Jet Mixing of liquids in long horizontal cylindrical tanks, Indust. Engg. and Chem. Res.,38, 1478-1482 (1998) @No $ @ @ Saravanan K., Sundaramoorthy N., Mohan Kumar G. and Subramanian N., Studies on some aspect of Jet Mixer I-Hydrodynamics, Modern App. Sci, 4(3), 51-59 (2010) @No $ @ @ Ashwin W., Patwardhan and Amith R. Thatte, Process Design Aspects of Jet Mixers, Can. J Chem, Eng., 82, 198-205 (2004) @No
@Review Paper
<#LINE#>Applications of Different Optimization Methods for Metal Cutting Operation – A Review <#LINE#>Deepak@S.S.K.<#LINE#>52-58<#LINE#>10.ISCA-JEngS-2012-056.pdf<#LINE#> Department of Mechanical Engineering, Rungta Engineering College, Raipur, Chhattisgarh, INDIA<#LINE#>3/9/2012<#LINE#>13/9/2012<#LINE#>  Optimum selection of the cutting conditions effectively contributes to the increase in the productivity and reduction in the production cost, therefore utmost attention is paid to this problem. Optimization of cutting parameters is essential for a manufacturing unit to respond effectively to severe competitiveness and increasing demand of quality product in the market. In cutting process, optimization of cutting parameters is considered to be a vital tool for improvement in output quality of a product as well as reducing the overall production time. An optimization technique provides optimal or near optimal solution of optimization problem, which can be implemented in the actual metal cutting process. Quality and productivity play a major role in today's manufacturing market. From a customer's viewpoint, quality is very important because the extent of quality determines the degree of satisfaction of the customers. Apart from quality, there exists another important criterion called productivity which is directly related to the profits of an industry and also to its growth. Every manufacturing firm aims at producing larger number of units with in short time. Productivity can be increased by having sound knowledge of all the optimization techniques for machining. In this research paper, a comparison has been made between different optimization including their approaches. The proposed research can be very helpful for industries to determine the optimal cutting parameters and improve the process quality. The comparison will also be beneficial in minimizing the costs incurred and improving productivity of manufacturing firms. <#LINE#> @ @ Agapiou, The optimization of machining operations based on a combined criterion, Int. Jounal of Mfg. Engg., , (1992) @No $ @ @ Armarego E.J.A. and Brown R.H., The machining of metals, (Englewood Cliffs, NJ: Prentice Hall), (1969) @No $ @ @ Brewer R.C. and Rueda R., A simplified approach to the optimum selection of machining parameters, Eng. Dig., 24(9), 133–150 (1963) @No $ @ @ Brewer R.C., Parameter Selection Problem in Machining, Ann. CIRP, 14(11), 55-61 (1966) @No $ @ @ Ermer D.S. and Kromordihardjo S., Optimization of multi-pass turning with constraints, J. Eng. Ind., , 462–468 (1981) @No $ @ @ Hinduja S., Petty D.J., Tester M. and Barrow G., Calculation of optimum cutting conditions for turning operations, Proc. Inst. Mech. Eng., 31, 81–92 (1985) @No $ @ @ Gilbert W.W., Economics of machining. In Machining – Theory and practice, Am. Soc. Met., 476–480 (1950) @No $ @ @ Petropoulos P.G., Optimal selection of machining rate variable by geometric programming, Int. J. Prod. Res., 11, 305–314 (1973) @No $ @ @ Sundaram R.M., An application of goal programming technique in metal cutting, Int. J. Prod. Res., , 76-81 (2003) @No $ @ @ Taylor F.W., The art of cutting metals, Trans. ASME, 28, 31–35 (1907) @No $ @ @ Walvekar A.G., Lambert B.K., An application of geometric programming to machining variable Selection, Int. J. Prod. Res., 8(3), 111-115 (1979) @No $ @ @ Hashmi K., El Baradie M.A. and Ryan M., Fuzzy logic based intelligent selection of machining parameter,Computers and Industrial Engineering, 35(3–4), 571–574 (1998) @No $ @ @ Lee Y.H., Yang B.H. and Moon K.S., An economic machining process model using fuzzy non-linear programming and neural network, International Journal of Production Research, 37(4), 835–847 (1999) @No $ @ @ Al-Wedyan H., Demirli K. and Bhat R., A technique for fuzzy logic modelling of machining process, 20th NAFIPS international conference, 5, 3021–3026 (2001) @No $ @ @ Kamatala M.K., Baumgartner E.T. and Moon K.S., Turned surface finish prediction based on fuzzy logic theory, In Proceedings of the 20th international conference on computer and industrial engineering, Korea, 1, 101–104 (1996) @No $ @ @ Chen Y.T. and Kumara S.R.T., Fuzzy logic and neural network for design of process parametes: A grinding process application, International Journal of Production Research, 36(2), 395–415 (1998) @No $ @ @ Liu Y. and Wang C., A modified genetic algorithm based optimization of milling parameter, International Journal of Advanced Manufacturing Technology, 15, 796–799 (1999) @No $ @ @ 8.Cus F. and Balic J., Optimization of cutting process by GA approach, Robotics and Computer Integrated Manufacturing, 19, 113–121 (2003) @No $ @ @ Schrader R.S., Optimization of cost and cycle time for multi-pass turning operation using GA, genetic algorithm at the University of Illinois Fall 2002, Report no 2003010, 205-2065 (2003) @No $ @ @ Onwubolu G.C. and Kumalo T., Optimization of multi-pass turning operation with genetic algorithm, International Journal of Production Research, 39(16), 3727–3745 (2001) @No $ @ @ Chen M.C. and Tsai D.M., A simulated annealing approach for optimization of multi-pass turning operations, International Journal of Production Research, 34(10), 2803–2825 (1996) @No $ @ @ Chowdhury K., Pratihar D.K. and Pal D.K., Multi-objective optimization in turning—using GA algorithm, Journal of the Institute of Engineers (India), 82, 37–44 (2002) @No $ @ @ Wang X., Da Z.J., Balaji A.K. and Jawahir I.S., Performance-based optimal selection of cutting conditions and cutting tools in multi-pass turning operations using genetic algorithms, International Journal of Production Research, 40(9), 2053–2065 (2002) @No $ @ @ Krimpenis A. and Vosniakos G.C., Optimization of multiple tool NC rough machining of a hemisphere as a genetic algorithm paradigm application, International Journal of Advanced Manufacturing Technology, 20, 727–734 (2002) @No $ @ @ Taguchi G., parameter design: A panel discussion, In V. N. Nair, (Ed.). Technometrics, 34, 127–161 (1973) @No $ @ @  Manna A. and Bhattacharyya B., Investigation for optimal parametric combination for achieving better surface finish during turning of Al/SiC-MMC, International Journal of Advanced Manufacturing Technology, 23, 658–665 (2004) @No $ @ @ Shaji S. and Radhakrisnan V., Analysis of process parameters in surface grinding with graphite as lubricant based on Taguchi method, Journal of Material Processing Technology , 1–9 (2003) @No $ @ @ Singh S., Shan H.S. and Pradeep K., Parametric optimization of magnetic field assisted abrasive flow machining by the Taguchi method, Quality and Reliability Engineering International, 18, 273–283 (2002) @No $ @ @ Grzesik W. and Brol S., Hybrid approach to surface roughness evaluation in multistage machining processes, Journal of Materials Processing Technology, 134, 265–272 (2003) @No $ @ @ Rumelhart D.E., Hilton G.E. and Williams R.J., Learning representations by back-propagating errors, Journal of Mechanical Engineering, 323(9), 533–536 (1986) @No $ @ @ Sathyanarayanan G., Lin I.J. and Chen M., Neural network modeling and multiobjective optimization of creep feed grinding of super alloys, International Journal of Production Research, 30(10), 2421–2438 (1992) @No