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Selvakumar J.,Paavaai Group of Institutions | Mohangift M.D.,Panimalar Engineering College | Johnalexis S.,Kumaraguru College of Technology
International Journal of Applied Engineering Research | Year: 2015

The description of fatigue curve is complecated beause its probablisticin nature. the calculations are made by gatts equations in both known and unknown endurance limits. by using sucessive approximations at two stress levels and three stress levels the endurance limit of material is correleted with experimental life. the s-n predictions are more closer in three stress level approach. EIFS method is one of the efficent mode to predict the fatigue life but it depends on probablistic crack growth. © Research India Publications.


Selvakumar J.,Paavaai Group of Institutions | Mohangift M.D.,Panimalar Engineering College | Johnalexis S.,Kumaraguru College of Technology
International Journal of Applied Engineering Research | Year: 2016

The Aluminium 6061-T6 alloy has wide application in industries due to its high performance and mechanical behavior. Normally Non-ferrous alloys will not exhibit exact endurance limit due to manufacturing defects. To overcome the inaccuracy in life estimation so many techniques adopted. The EIFS method, AMWD, FESL are used to find the fatigue life. The fatigue curve parameters are described by Gatts equation, hyperbolic function, exponential function and power function. In this work the fatigue test results are correlated to endurance limit. Two stress level and three stress level analyses are carried out and error % in Gatts equation and hyperbolic function are compared. © Research India Publications.


Rathinam V.,Paavaai Group of Institutions
Research Journal of Applied Sciences, Engineering and Technology | Year: 2014

Cladding is the most economical process used on the surface of low carbon structural steel to improve the corrosion resistance. The corrosion resistant property is based on the amount of ferrite present in the clad layer. Generally, the ferrite content present in the layer is expressed in terms of Ferrite Number (FN). The optimum range of ferrite number provides adequate surface properties like chloride stress corrosion cracking resistance, pitting and crevice corrosion resistance and mechanical properties. For achieving maximum economy and enhanced life, duplex stainless steel (E2209T1-4/1) is deposited on the surface of low carbon structural steel of IS: 2062. The problem faced in the weld cladding towards achieving the required amount of ferrite number is selection of optimum combination of input process parameters. This study concentrates on estimating FN and analysis of input process parameters on FN of heat treated duplex stainless steel cladding. To predict FN, mathematical equations were developed based on four factor five level central composite rotatable design with full replication using regression methods. Then, the developed models were embedded further into integrated ANN-SA to estimate FN. From the results, the integrated ANN-SA is capable of giving maximum FN at optimum process parameters compared to that of experimental, regression and ANN modeling. © Maxwell Scientific Organization, 2014.


Anitha V.,Paavai Engineering College | Supha Lakshmi A.,Paavai Engineering College | Revathi M.,Paavai Engineering College | Selvi K.,Paavaai Group of Institutions
6th International Conference on Advanced Computing, ICoAC 2014 | Year: 2014

Nowadays a lot of people are using the internet for sharing their personal and business information where there may be a chance for intruder to access the information. Hence, there is a need to take proper attention to overcome the vulnerabilities in the web pages. SQLI (SQL Injection) is a commonly occurring vulnerability where the intruder tries to access the back end (database) using SQL Query. Lot of research work has been done so far in order to prevent SQLI but still the problem remains as a challenge. Since, most of the technique will try to fix the problem in one perspective but in the other end there will be a huge flaw too. Hence, we require a proper system to detect the SQLI completely. Here, we are presenting a system which detects all type of SQLI vulnerabilities after elaborately reviewing the existing methods. Experimental result shows that our proposed system detects all type of SQLI vulnerability when compared with the existing techniques. © 2014 IEEE.


Rajarajan G.,Selvam Educational Institutions | Marimuthu D.,SSRM | Senthikumar J.,Vidya Vikas Higher Secondary School | Jegatheesan A.,Paavaai Group of Institutions | Ravi B.,King College
Rasayan Journal of Chemistry | Year: 2014

Single crystals of thiourea potassium iodide (abbreviated as TPI) K [CS (NH2)2] I were successfully grown by slow evaporation method at room temperature from its aqueous solution. The harvested crystals were of average dimensions 13×3×3 mm3. Powder X-ray Diffraction studies were carried out and the lattice parameters of the grown crystals have been evaluated. Surface morphology of the TPI was studied by scanning electron microscope (SEM). The dielectric response of the sample was studied in the frequency region 100 Hz to 10 kHz. From the second harmonic generation (SHG) efficiency test it is evident that the sample has the efficiency 1.1 times that of potassium dihydrogen phosphate (KDP). © 2014 RASĀYAN. All rights reserved.


Manikandan P.,Paavaai Group of Institutions
International Review on Computers and Software | Year: 2013

Data clustering as one of the important data mining techniques is a fundamental and widely used method to achieve useful information about data. The purpose of clustering is to group together data points, which are close to one another. In face of the clustering problem, clustering methods still suffer from trapping in a local optimum and cannot often find global clusters. In order to overcome the shortcoming of the available clustering methods, this paper presents a hybrid clustering algorithm. This paper is presented an efficient hybrid evolutionary optimization algorithm based on combining Particle Swarm Optimization (PSO) and Cuckoo Search (CS), called CS-PSO, for optimally clustering N object into K clusters. The new CS-PSO algorithm is tested on several data sets, and its performance is compared with those of GA, FCM, Fuzzy-PSO and K-means clustering. The simulation results show that the new method carries out better results than the Genetic algorithm (GA), K-means, Fuzzy C-means FCM), Genetic-K means and Fuzzy-PSO. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.


Kumaravel S.T.,Paavaai Group of Institutions | Murugesan A.,KS Rangasamy College of Technology | Kumaravel A.,KS Rangasamy College of Technology
Renewable and Sustainable Energy Reviews | Year: 2016

Alternative fuels for diesel engines have become vital due to increase in energy expenditure, stringent norms of emission, depletion of fossil fuels and fluctuating cost of the petroleum products in India. To overcfome this problem, it is very important to find alternative fuels. The main focus of this review is to shed light on the importance of tyre pyrolysis oil as an alternative fuel for diesel engines. In this context, tyre pyrolysis oil has recently been receiving renewed interest. In this review, the pyrolysis mechanism, pyrolysis reactors, their product yield, characteristic analysis of tyre such as proximate analysis, elemental analysis and pyrolysis process are discussed. Pyrolysis of scrap tyre starts at 250°C and gets completed at 550°C. The presence of a catalyst produces lighter oil with drastic increase in the concentration of single ring aromatics. Engine performance, emissions and combustion parameters, such as the heat release rate and maximum rate of pressure rise, when engines are operated on a tyre pyrolysis oil were also discussed. NO(x), HC, CO, and smoke emissions were found to be higher at higher loads due to the high aromatic content and longer ignition delay. The ignition delays were longer than those with DF. It is concluded that it is possible to use tyre pyrolysis oil in diesel engines as an alternate fuel. © 2016 Elsevier Ltd. All rights reserved.


Anbarasu K.,TRP Engineering College | Geetha N.,Paavaai Group of Institutions
Rasayan Journal of Chemistry | Year: 2015

In modern aspects, the heterocyclic ring systems are playing a very important role in pharmaceutical drug synthesis. The present study was aimed to synthesis and evaluates the pharmacological potential of heterocyclic compound such as chromium (VI) compound. Microbiological potential of the prepared compound quinoxalinium dichromate (QxDC) was evaluated by disc diffusion method. Based on the results, we found that compound QxDC having significant potential against the selected organisms. The spectral characterization also revealed that the synthesized compound has heterocyclic ring system. © 2015 RASAYAN. All rights reserved.


Jegatheesan A.,Paavaai Group of Institutions | Rajarajan G.,Selvam Educational Institutions
International Journal of ChemTech Research | Year: 2015

Single crystals of the Glycine Fumarate (GFA) were from the aqueous solution by slow evaporation method at room temperature. Single crystal X ray diffraction analysis reveals that the crystal belongs to orthorhombic crystal system. Optical transmission studies show that the crystal is transparent in the entire visible region with cut off wave length 252 nm .The optical band gap is found to be 3.872 eV. Mechanical hardness studies carried out to find the Hardness number of the grown crystal and it is increase with increase in applied load. Mayer index number was calculated for the grown up crystal and found that the materials belongs to the soft material category. Dielectric constant and the dielectric loss of material were calculated by using dielectric analysis at the room temperature. Further, electrical properties, such as Plasma energy, Penn energy, Fermi energy and electronic polarizability of the growth crystals have been predicated. The optical second harmonic generation conversion efficiency of GFA was determined by Kuntz powder technique and it shows that the material is the potential candidate for the NLO applications and its efficiency found to be 0.2 times that of KDP. © 2015, Sphinx Knowledge House. All rights reserved.


Manikandan P.,Paavaai Group of Institutions | Selvarajan S.,Muthayammal Technical Campus
Advances in Intelligent Systems and Computing | Year: 2014

Cluster Analysis is a popular data analysis in data mining technique. Clusters play a vital role for users to organize, summarize and navigate the data effectively. Swarm Intelligence (SI) is a relatively new subfield of artificial intelligence which studies the emergent collective intelligence of groups of simple agents. It is based on social behavior that can be observed in nature, such as ant colonies, flocks of birds, fish schools and bee hives. SI technique is integrated with clustering algorithms. This paper proposes new approaches for using Cuckoo Search Algorithm (CSA) to cluster data. It is shown how CSA can be used to find the optimally clustering N object into K clusters. The CSA is tested on various data sets, and its performance is compared with those of K-Means, Fuzzy C-Means, Fuzzy PSO and Genetic K-Means clustering. The simulation results show that the new method carries out better results than the K-Means, Fuzzy C-Means, Fuzzy PSO and Genetic K-Means. © Springer India 2014.

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