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Selvaraj S.K.,RVS Educational Trusts Group of Institutions | Nagarajan M.K.,IIT ISM | Kumaraswamidhas L.A.,IIT ISM
Archives of Civil and Mechanical Engineering | Year: 2017

AA 2618 alloy matrix material is mixed with silicon nitride (Si3N4), aluminium nitride (AlN), and zirconium boride (ZrB2) reinforcement particles. AA 2618 composites were prepared by stir casting method by the following various amounts of weight percentage (wt%): about 0, 2, 4, 6 and 8. AA 2618 composites were analyzed by various mechanical properties such as micro-hardness, tensile strength, and compressive strength. The mechanical properties were increased by increasing wt% of reinforcements. The microstructure and worn surfaces’ analysis have been done for the dispersion and bonding structure of the reinforced particles in composites; also, the AA 2618 composites were involved with different characterizations such as abrasive and erosion wear tests at various wt% to find the wear resistance of the composites. The mass loss was considered as the result of wear testing. Before and after worn surface has been analyzed by scanning electron microscope (SEM), the abrasive and erosion wear test results were analyzed by using traditional and nontraditional techniques like Taguchi method, analysis of variance (ANOVA) and genetic algorithm (GA) to obtain the better wear resistance of various wt% of AA 2618 composites and to study the most influencing input and output process parameters by using different optimization techniques. © 2016 Politechnika Wrocławska

Raja S.,PSNA College of Engineering and Technology | Ramaiah S.,RVS Educational Trusts Group of Institutions
Cybernetics and Information Technologies | Year: 2016

Knowing the trust level of cloud service providers is a significant issue in the field of cloud computing for privacy and security reasons. The idea of this paper is to build up a Consumer and Cloud-Data Envelopment Analysis (CCDEA) trust assessment model for evaluating cloud services in two stages. In first stage, the believability index of each cloud Consumer (C) is calculated. The second stage incorporates Cloud-Data Envelopment Analysis (C-DEA) model for the trust assessment of cloud services from the viewpoint of cloud consumers. Several experiments were conducted and the results were analyzed to show the stability of our method in measuring the relative efficiency and effectiveness of cloud services through ranking mechanism.

Raja S.,PSNA College of Engineering and Technology | Ramaiah S.,RVS Educational Trusts Group of Institutions
International Arab Journal of Information Technology | Year: 2016

Cloud computing is a subscription-based service where we can obtain networked storage space and computer resources. Since, access to cloud is through internet, data stored in clouds are vulnerable to attacks from external as well as internal intruders. In order to, preserve privacy of the data in cloud, several intrusion detection techniques, authentication methods and access control policies are being used. The common intrusion detection systems are predominantly incompetent to be deployed in cloud environments due to their openness and specific essence. In this paper, we compare soft computing approaches based on type-1, type-2 and interval type-2 fuzzy-neural systems to detect intrusions in a cloud environment. Using a standard benchmark data from a Cloud Intrusion Detection Dataset (CIDD) derived from DARPA Intrusion Detection Evaluation Group of MIT Lincoln Laboratory, experiments are conducted and the results are presented in terms of mean square error. © 2016, Zarka Private Univ. All rights reserved.

Kannan S.,IIT ISM | Senthil Kumaran S.,RVS Educational Trusts Group of Institutions | Kumaraswamidhas L.A.,Indian School of Mines
Journal of Alloys and Compounds | Year: 2016

In this present study, Tungsten inert gas (TIG) welding was applied to weld the dissimilar materials and authenticate the mechanical and metallurgical properties of tube to tube plate made up of commercial aluminium and Al 2025 respectively using an Zirconiated tungsten electrode along with filler material aluminium ER 2219. In total, twenty five pieces has been subjected to compression strength and hardness value to evaluate the optimal joint strength. The three optimization technique has been used in this experiment. Taguchi L25 orthogonal array is used to identify the most influencing process parameter which affects the joint strength. ANOVA method is measured for both compression strength and hardness to calculate the percentage of contribution for each process parameter. Genetic algorithm is used to validate the results obtained from the both experimental value and optimization value. The micro structural study is depicted the welding joints characterization in between tube to tube plate joints. The radiograph test is conducted to prove the welds are non-defective and no flaws are found during the welding process. The mechanical property of compression strength and hardness has been measured to obtain the optimal joint strength of the welded sample was about 174.846 MPa and 131.364 Hv respectively. © 2016 Elsevier B.V. All rights reserved.

KaruppannaRaja P.G.,Alagappa Chettiar College of Engineering And Technology | Rajkumar M.,RVS College of Engineering and Technology | S. S.K.,RVS Educational Trusts Group of Institutions
Journal of Alloys and Compounds | Year: 2016

In metal joining process, there are various developments in the field of engineering and friction welding possesses a vital role in industrial application. Here the investigation is about; Friction welding is carried out by joining SA 213 tube with SA 387 tube plate using an external tool made up of tungsten carbide to validate the metallurgical and mechanical properties. Taguchi and ANOVA are used to find out the significant parameters and contribution. Compression Strength is the output parameter which exposes better joining strength. Followed by various destructive and non-destructive tests have been analyzed for joining the strength. Microstructure proof shows the configuration of welding which able of producing defect free welds. Here the present study is about by comparing two conditions, where type 1 is welding with backing block and type 2 is welding without backing block at interference fit. Optimal Joining strength is observing as 3036.80 MPa and 2990.90 MPa respectively. © 2016 Elsevier B.V.

Nazeera Banu V.R.,RVS College of Engineering and Technology | Rajendran S.,RVS Educational Trusts Group of Institutions | Senthil Kumaran S.,RVS Educational Trusts Group of Institutions
Journal of Alloys and Compounds | Year: 2016

The inhibition efficiency of Tween 20 in controlling corrosion of carbon steel in well water has been evaluated by weight loss method. Mechanistic aspects of corrosion inhibition have been studied by Polarization and AC-impedance spectra. The formulation consisting of 200 ppm of Tween 20 and 50 ppm of Zn2+ gives 85% inhibition efficiency. A synergistic effect exists between Tween 20 and Zn2+. Polarization study reveals that Tween 20 - Zn2+ system functions as a mixed kind of inhibitor. AC impedance spectra reveals that a protective film is formed on the metal surface. FTIR spectra reveal that the protective film consists of Fe2+- Tween 20 complex and Zn(OH)2. The formation of monolayer and hydrophobic nature were confirmed by AFM, FTIR and Contact angle measurements. The contact angle measurement confirms the hydrophobic nature of the protective film. © 2016 Elsevier B.V.

Rengasamy N.V.,Anna University | Rajkumar M.,RVS College of Engineering and Technology | Senthil Kumaran S.,RVS Educational Trusts Group of Institutions
Journal of Alloys and Compounds | Year: 2016

In the present study, the new engineered metal matrix composites (MMC) Aluminum 4032 is reinforced with reinforcement particles Zrb2 and Tib2 in various Wt. % (0,2,4,6,8) at room temperature through the stir casting method. The reinforcement particles Zrb2 (Zirconium Boride) and Tib2 (Titanium Boride) influences the mechanical property and parameters such as material removal rate, tool wear rate and depth in EDM machining process. Initially, the mechanical property such as tensile, compressive and hardness value has been measured for the Al 4032 composite alloy and it proves that increase in mechanical strength is due to the increase in reinforcement particles. Electrical discharge machining (EDM) is carried out on the composite alloy Al 4032 with tool as copper electrode where input parameters such as Pulse ON, (μS) Pulse OFF (μS) Current (Amps) is provided initially to set up the machining process. To identify the optimize process parameter in EDM machining process which influence to obtain minimum material removal rate (MRR), tool wear rate (TWR) and depth (Depth), the Taguchi L25 orthogonal array is used. The analysis of variance (ANOVA) was used to investigate the percentage of contribution by each parameter. The variation of current (amps), Pulse ON, Pulse OFF of the Al 4032 composite have been measured with the function of three parameter such as MRR, TWR and depth. © 2015 Elsevier B.V. All rights reserved.

Kumaran S.S.,Rvs Educational Trusts Group Of Institutions | Muthukumaran S.,National Institute of Technology Tiruchirappalli
International Journal of Advanced Manufacturing Technology | Year: 2014

Friction welding is widely used as a mass-production method in various industries. Friction welding of tube-to-tube plate using an external tool (FWTPET) is an innovative friction welding process and has potential applications in aerospace, railways, automotive, and marine industries. FWTPET is capable of welding tube-to-tube plate of similar and dissimilar metals and is capable of producing good-quality leak-proof weld joints. In this work, FWTPET welds have been produced with six different tube projections. Tool steel has been used to join the FWTPET process. After the completion of welding, macrostructural and microstructural studies have been conducted and it reveals the weld configuration that is capable of generating defect-free welds. Further, hardness and pull strength of welds obtained with six different tube projections have been studied. When compared to other weld conditions, 1 mm projection has resulted in better strength. The weld strength and average weld interface hardness with 1 mm projection are 84.72 MPa and 70.58 Hv respectively. The sufficient heat generation has been occurred at optimum projection in FWTPET process. © 2014, Springer-Verlag London.

Mathan Kumar N.,IIT ISM | Senthil Kumaran S.,RVS Educational Trusts Group of Institutions | Kumaraswamidhas L.A.,IIT ISM
Journal of Alloys and Compounds | Year: 2016

In this study, the Al 2618 aluminium alloy is reinforced with Si3N4 (Silicon Nitride), AlN (Aluminium Nitride) & ZrB2 (Zirconium Boride) in wt. % of (0,2,4,6,8) by stir casting process. The tribological and mechanical properties of these composites particles were investigated under dry sliding conditions. The mechanical properties of the composites is studied by conducting various test like hardness test, tensile test and compression test to understand the relationship between the wt. % of reinforcement and the matrix metal. This is followed by the micro structural study to examine the bond formation and effect of grain size reduction due to the addition of reinforcement. The Taguchi L25 orthogonal array is used to optimize the process parameters to obtain minimum wear rate and the analysis of variance (ANOVA) was used to investigate the influence of parameter affecting the wear rate. The Scanning Electron Microscope (SEM) analysis is carried out to understand the wear mechanism of worn out surfaces and the wear debris. The manipulate of the wt. % of reinforcements and applied load on the wear rate, wear resistance, specific wear rate, coefficient of wear rate and the mass loss were premeditated using the pin-on-disk method. © 2016 Elsevier B.V.

Kumar N.M.,IIT ISM | Senthil Kumaran S.,RVS Educational Trusts Group of Institutions | Kumaraswamidhas L.A.,IIT ISM
Journal of Alloys and Compounds | Year: 2016

In this investigation, Aluminium Matrix Composite (AMC) has implicated in this paper. The Aluminium 2618 alloy is taken as the Matrix material along with Reinforcement particles such as Silicon Nitride (Si3N4), Aluminium Nitride (ALN) and Zirconium Boride (Zrb2). It is well mixed with Al 2618 alloy in various weight percentages (Wt. % = 0,2,4,6,8) by stir casting method. The Mechanical properties like hardness, tensile strength, compressive Strength for Al 2618 composites were increased along with increasing Wt. % of reinforcement. A new attempt has been tried to optimize the parameters to obtain minimum value in Material Removal Rate (MRR), Tool Wear Rate (TWR) and Depth (mm) through Electrical Discharge machining process (EDM) at elevated temperatures. The input process parameters are taken for the machining is Temperature (°C), Pulse ON (μS), Pulse OFF (μS) and Current (Amps). Taguchi L25orthogonal array was used to identify the optimize parameter is MRR, TWR and Depth. Each parameters contribution in percentage was calculated by the Analysis of Variance (ANOVA). The exact input and output parameters were examined with help of Genetic Algorithm (GA). © 2015 Elsevier B.V.

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