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Ram H.R.A.,Jyothy Institute of Technology | Kashyap K.T.,PES Institute of Technology
Transactions of the Indian Institute of Metals | Year: 2014

Precipitation hardening studies were carried out on MWCNT/aluminium alloy 6061 (AA6061) nanocomposites and an increase in the aging kinetics was observed in 2 and 1 wt% MWCNT nanocomposites compared to the base alloy. Transmission electron microscopic studies showed an increase in the dislocation density around the vicinity of MWCNTs due to the thermal mismatch between matrix and the reinforcement. The increase in the dislocation density was theoretically calculated by Arsenault's thermal mismatch model which showed higher dislocation density in 2 wt% MWCNT than in 1 wt% MWCNT nanocomposites compared to the base alloy. The nucleation rate of precipitates as a function of dislocation density was theoretically calculated using Avrami based Dutta and Bourell model in MWCNT/AA6061 nanocomposite assuming dislocation density dependant nucleation. These theoretical results were compared to the aging curves generated by plotting hardness versus aging time. © 2014 Indian Institute of Metals. Source


Rajaprakash B.M.,University Visvesvaraya College of Engineering | Suresha C.N.,Jyothy Institute of Technology | Upadhya S.,University Visvesvaraya College of Engineering
TMS Annual Meeting | Year: 2015

Friction Stir Welding (FSW) is a solid-state welding technique used for joining metals and alloys to avoid problems associated with fusion welding. Acoustic Emission (AE) has been successfully used to monitor processes like metal cutting, grinding, electron beam welding and FSW. In this work, an attempt has been made to study the application of AE to monitor FSWs to produce defect free welds. During welding of aluminum alloy AA 2024-T3 5mm thick plates, AE signals were acquired. Patterns of AE signals produced during welding are helpful in identifying the defects produced. The lower and higher values of AE parameters help to decide the quality of welded joints. In order to have a better understanding of the behavior of AE parameters when defects were supposed to have occurred during welding, a time domain analysis of AE signals was carried out. The time domain analysis has resulted in justifying the behavior of the AE signals at the instant of occurrence of defects. The range of values of AE parameters, derived from AE signals found to be helpful in monitoring FSW, was accomplished by identifying the time of occurrence of the defect during welding followed by suitable corrective action to produce defect free welds. Source


Rupanagudi S.R.,WorldServe Education | Bhat V.G.,WorldServe Education | Ranjani B.S.,WorldServe Education | Eshwari S.,WorldServe Education | And 5 more authors.
2015 IEEE Bombay Section Symposium: Frontiers of Technology: Fuelling Prosperity of Planet and People, IBSS 2015 | Year: 2015

A lot of research has been carried out in the past decade to assist patients suffering from paralysis or Motor Neuron Disease (MND) to communicate and also to move. Though solutions exist, they are extremely expensive and also sluggish in user response. This paper presents a cost effective setup and a novel algorithm to help the MND affected segment of the society to communicate using only blinks. A major feature of the research carried out is the high speed dilation algorithm discovered and also a simplified eye detection methodology, which is totally independent of a computer interface. All experiments were carried out using Simulink bundled with MATLAB 2011b. A Java implementation for speed efficiency calculation was also carried out and proved that the proposed methodology is 8 times faster compared to its predecessor technology. © 2015 IEEE. Source


Koppad P.G.,P e S Institute of Technology | Koppad P.G.,Jawaharlal Nehru Technological University | Rama H.R.A.,P e S Institute of Technology | Rama H.R.A.,Jyothy Institute of Technology | And 2 more authors.
Journal of Alloys and Compounds | Year: 2013

This study reports on the investigation of thermal and electrical properties of multiwalled carbon nanotubes reinforced copper (MWCNT/Cu) nanocomposites. The nanocomposites were fabricated with different weight fractions of MWCNTs by powder metallurgy technique followed by hot forging as secondary process. The thermal properties of hot forged nanocomposites were measured by Laser flash technique at 473 K. The results indicated that the thermal conductivity of MWCNT/Cu nanocomposites decreased with the increase in MWCNTs content. The drop in the thermal conductivity of nanocomposites is mainly attributed to the interface thermal resistance, scattering of phonons on dislocations, random distribution of MWCNTs and the kinks formed in MWCNTs during the fabrication. The decrease in electrical conductivity of nanocomposites is attributed to the grain refinement caused by the incorporation of MWCNTs. © 2013 Elsevier B.V. All rights reserved. Source


Rajaprakash B.M.,University Visvesvaraya College of Engineering | Suresha C.N.,Jyothy Institute of Technology | Upadhya S.,University Visvesvaraya College of Engineering
TMS Annual Meeting | Year: 2013

Friction Stir Welding (FSW) is a solid - state welding technique used for joining of metals and alloys to avoid problems associated with fusion welding. Acoustic Emission (AE) technique had been successfully used to monitor processes like metal cutting, grinding and electron beam welding. An attempt has been made to study the feasibility of application of AE technique to monitor FSW process. Experiments were carried out using aluminium alloy AA 7020-T6 by continuously varying the FSW input process parameters namely tool rotational speed and weld traverse speed during welding. Variation in pattern of AE signals was observed when FSW input parameters were varied. The pattern were found helpful in identifying the defect occurred during welding, as well in developing a model for online monitoring of FSW process to produce quality welds. The developed model has been successfully used to monitor FSW process during welding of aluminum alloy AA6082-T4. Source

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