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TL;DR: In this paper, the authors used FSW to join the two dissimilar alloys of aluminium and found that the rotational speed is found better over the other process parameters, which enhances the quality of the weld.
Abstract: Friction stir welding (FSW) is one of the new technique for welding materials in solid state welding process. In this proposed work we are using FSW to join the two dissimilar alloys of aluminium. The 6mm thick aluminum plates of aluminium 5086 and aluminum 7075 plates are considered for welding. These have been considered due to their application in various fields. In this experimental process Taguchi’s L9 orthogonal array method is used for optimizing the three process parameters namely rotational speed, axial force and welding speed. To produce a better joint the tensile strength is predicted for the optimum welding parameters and also their percentage of contribution is calculated, by applying the effect of analysis of variance. Depends upon the experimental study, the rotational speed is found better over the other process parameters, which enhances the quality of the weld. The tensile strength has been found for the optimum parameters and the result found during the experiment was 290Mpa which was higher than the base metal strength of aluminium 5086 alloy. The SEM fractograph analysis was done on the optimum parameters welded joints to show the fracture behaviour of tensile test which justifies the visual inspection results of brittle and ductile failures.
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23 Dec 2019TL;DR: In this article, a single server queue with Poisson arrival and exponential service times subject to a policy of single working vacation with customer impatience is considered, where service times are different for an active phase and a working vacation phase.
Abstract: A single server queue with Poisson arrival and exponential service times subject to a policy of single working vacation with customer impatience is considered. The service times are different for an active phase and a working vacation phase. The customer is allowed to leave the system during the working vacation phase. Catastrophes, when they occur, wipe out the system which results in the system being inactive for a random period of time. Explicit expressions for the transient probabilities of the close-down period, maintenance state, active state, working vacation state and system size for active phase and working vacation phase have been obtained. The corresponding steady-state analysis and performance measures are also obtained. The effects of various parameters on the system performance measures are studied using numerical examples.
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TL;DR: In this paper, the quality of the welded joint is measured based on the experimental values of tensile strength, elongation, and hardness of the joint the experiments were conducted in accordance with the L9 orthogonal array assigning different levels values to the process parameters.
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TL;DR: The reduction in aircraft down time in the operational cycle of a frontline military aircraft is the direct indicator of increase the operational efficiency.
Abstract: Objectives: To reduce maintenance downtime in operational cycle by integrating automatic identification techniques in the existing aircraft maintenance and utilization environment of a frontline squadron is discussed in this paper. Methods/Statistical Analysis: Along with explaining the routine calendar and hourly based aircraft maintenance philosophies of a frontline aircraft usage of an application software to undertake real-time status monitoring of aircraft maintenance and repair in a frontline squadron is discussed in brief. The effective utilization of the optical barcode functions, barcode generation and their unique application in personnel identification and maintenance enhancement in a frontline squadron is discussed in detail. Findings: The probable reasons for increase in aircraft downtime of military aircraft during defect rectifications and routine inspections and the facility enhancement envisaged in a frontline squadron due to integration of the maintenance monitoring application in the existing aircraft maintenance and utilization environment is explained in the paper. The reduction in aircraft down time in the operational cycle of a frontline military aircraft is the direct indicator of increase the operational efficiency. Application/Improvements: The implementation of an maintenance monitoring application using optical identification technique and the resultant enhancement in the operation efficiency due to aircraft downtime reduction is explained in detail.
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01 Jan 2021TL;DR: In this paper, a steel plate is to be coated with a nano-film of specified thickness using thermal spray coating consisting of nano-alumina, nano-zinc oxide and nano-molybdenum.
Abstract: The lifespan of domestic water geysers drastically reduces over a period of time of usage due to environmental challenges such as corrosion and scale development. The objective to be achieved here is to increase the property of corrosion resistance of internal components of the geyser and overcoming the challenges posed by such. A steel plate is to be coated with a nano-film of specified thickness using thermal spray coating consisting of nano-alumina, nano-zinc oxide and nano-molybdenum. These elements were chosen for their high corrosion resistance and formation of a superior alloy coating. The coating elements are mixed in three different ratio combinations, and each is coated on three stainless steel sample plates. These sample plates are tested for corrosion and scale development by performing a salt spray test for a period of time till visual examination shows the development of corrosion. A comparison of the results of the three samples is analysed with industry standards to determine the suitable alternative for geyser coatings. The results have convincingly proved that there is an increase in the life expectancy of the geyser which can significantly reduce maintenance expenditure.
Authors
Showing all 427 results
Name | H-index | Papers | Citations |
---|---|---|---|
G. Nagarajan | 46 | 275 | 7004 |
Raghavan Murugan | 33 | 126 | 3838 |
B. Nagalingam | 22 | 29 | 2255 |
G. V. Uma | 20 | 108 | 1357 |
V. Edwin Geo | 18 | 63 | 1023 |
R. Lakshmipathy | 12 | 30 | 442 |
Sellappan Palaniappan | 11 | 29 | 803 |
M. Kannan | 10 | 28 | 309 |
B. Vidhya | 10 | 46 | 399 |
S. Ramesh | 9 | 48 | 503 |
R. Gladwin Pradeep | 9 | 21 | 190 |
T. Ravi | 8 | 23 | 153 |
K. Vijayaraja | 8 | 15 | 133 |
C. Clement Raj | 7 | 8 | 212 |
Maya Joby | 7 | 12 | 309 |